diff --git a/data/dcatus/jsons/arm.data.json b/harvester/data/dcatus/jsons/arm.data.json
similarity index 100%
rename from data/dcatus/jsons/arm.data.json
rename to harvester/data/dcatus/jsons/arm.data.json
diff --git a/data/dcatus/jsons/collection-1-parent-2-children.data.json b/harvester/data/dcatus/jsons/collection-1-parent-2-children.data.json
similarity index 100%
rename from data/dcatus/jsons/collection-1-parent-2-children.data.json
rename to harvester/data/dcatus/jsons/collection-1-parent-2-children.data.json
diff --git a/data/dcatus/jsons/collection-2-parent-4-children.data.json b/harvester/data/dcatus/jsons/collection-2-parent-4-children.data.json
similarity index 100%
rename from data/dcatus/jsons/collection-2-parent-4-children.data.json
rename to harvester/data/dcatus/jsons/collection-2-parent-4-children.data.json
diff --git a/data/dcatus/jsons/geospatial.data.json b/harvester/data/dcatus/jsons/geospatial.data.json
similarity index 100%
rename from data/dcatus/jsons/geospatial.data.json
rename to harvester/data/dcatus/jsons/geospatial.data.json
diff --git a/data/dcatus/jsons/large-spatial.data.json b/harvester/data/dcatus/jsons/large-spatial.data.json
similarity index 100%
rename from data/dcatus/jsons/large-spatial.data.json
rename to harvester/data/dcatus/jsons/large-spatial.data.json
diff --git a/data/dcatus/jsons/missing-catalog.data.json b/harvester/data/dcatus/jsons/missing-catalog.data.json
similarity index 100%
rename from data/dcatus/jsons/missing-catalog.data.json
rename to harvester/data/dcatus/jsons/missing-catalog.data.json
diff --git a/data/dcatus/jsons/missing-dataset-fields.data.json b/harvester/data/dcatus/jsons/missing-dataset-fields.data.json
similarity index 100%
rename from data/dcatus/jsons/missing-dataset-fields.data.json
rename to harvester/data/dcatus/jsons/missing-dataset-fields.data.json
diff --git a/data/dcatus/jsons/missing-identifier-title.data.json b/harvester/data/dcatus/jsons/missing-identifier-title.data.json
similarity index 100%
rename from data/dcatus/jsons/missing-identifier-title.data.json
rename to harvester/data/dcatus/jsons/missing-identifier-title.data.json
diff --git a/data/dcatus/jsons/null-spatial.data.json b/harvester/data/dcatus/jsons/null-spatial.data.json
similarity index 100%
rename from data/dcatus/jsons/null-spatial.data.json
rename to harvester/data/dcatus/jsons/null-spatial.data.json
diff --git a/data/dcatus/jsons/numerical-title.data.json b/harvester/data/dcatus/jsons/numerical-title.data.json
similarity index 100%
rename from data/dcatus/jsons/numerical-title.data.json
rename to harvester/data/dcatus/jsons/numerical-title.data.json
diff --git a/data/dcatus/jsons/ny.data.json b/harvester/data/dcatus/jsons/ny.data.json
similarity index 100%
rename from data/dcatus/jsons/ny.data.json
rename to harvester/data/dcatus/jsons/ny.data.json
diff --git a/data/dcatus/jsons/reserved-title.data.json b/harvester/data/dcatus/jsons/reserved-title.data.json
similarity index 100%
rename from data/dcatus/jsons/reserved-title.data.json
rename to harvester/data/dcatus/jsons/reserved-title.data.json
diff --git a/data/dcatus/jsons/usda.gov.data.json b/harvester/data/dcatus/jsons/usda.gov.data.json
similarity index 100%
rename from data/dcatus/jsons/usda.gov.data.json
rename to harvester/data/dcatus/jsons/usda.gov.data.json
diff --git a/data/dcatus/schemas/catalog.json b/harvester/data/dcatus/schemas/catalog.json
similarity index 100%
rename from data/dcatus/schemas/catalog.json
rename to harvester/data/dcatus/schemas/catalog.json
diff --git a/data/dcatus/schemas/dataset.json b/harvester/data/dcatus/schemas/dataset.json
similarity index 100%
rename from data/dcatus/schemas/dataset.json
rename to harvester/data/dcatus/schemas/dataset.json
diff --git a/harvester/harvest.py b/harvester/harvest.py
index 43c5d655..e4e7d778 100644
--- a/harvester/harvest.py
+++ b/harvester/harvest.py
@@ -19,7 +19,7 @@
ckan = ckanapi.RemoteCKAN(os.getenv("CKAN_URL"), apikey=os.getenv("CKAN_API_TOKEN_DEV"))
-ROOT_DIR = Path(__file__).parents[1]
+ROOT_DIR = Path(__file__).parents[0]
@dataclass
@@ -30,7 +30,7 @@ class HarvestSource:
# (these values can be set during initialization though)
_title: str
_url: str
- _extract_type: str # dcatus vs waf
+ _extract_type: str # "datajson" or "waf-collection"
_waf_config: dict = field(default_factory=lambda: {})
_extra_source_name: str = "harvest_source_name" # TODO: update this
_dataset_schema: dict = field(
@@ -38,11 +38,15 @@ class HarvestSource:
ROOT_DIR / "data" / "dcatus" / "schemas" / "dataset.json"
)
)
+ _no_harvest_resp: bool = False
# not read-only because these values are added after initialization
# making them a "property" would require a setter which, because they are dicts,
# means creating a custom dict class which overloads the __set_item__ method
# worth it? not sure...
+ compare_data: dict = field(
+ default_factory=lambda: {"delete": None, "create": None, "update": None}
+ )
records: dict = field(default_factory=lambda: {})
ckan_records: dict = field(default_factory=lambda: {})
@@ -65,11 +69,15 @@ def title(self) -> str:
@property
def url(self) -> str:
- return self._url
+ return self._url.strip()
@property
def extract_type(self) -> str:
- return self._extract_type
+ # TODO: this is probably safe to assume right?
+ if "json" in self._extract_type:
+ return "datajson"
+ if "waf" in self._extract_type:
+ return "waf-collection"
@property
def waf_config(self) -> dict:
@@ -83,6 +91,16 @@ def extra_source_name(self) -> str:
def dataset_schema(self) -> dict:
return self._dataset_schema
+ @property
+ def no_harvest_resp(self) -> bool:
+ return self._no_harvest_resp
+
+ @no_harvest_resp.setter
+ def no_harvest_resp(self, value) -> None:
+ if not isinstance(value, bool):
+ raise ValueError("")
+ self._status = value
+
@property
def ckan_query(self) -> dict:
return self._ckan_query
@@ -91,12 +109,19 @@ def get_title_from_fgdc(self, xml_str: str) -> str:
tree = ET.ElementTree(ET.fromstring(xml_str))
return tree.find(".//title").text
+ def download_dcatus(self):
+ resp = requests.get(self.url)
+ if resp.status_code == 200:
+ return resp.json()
+
def harvest_to_id_hash(self, records: list[dict]) -> None:
"""i = identifier; h = hash"""
for record in records:
- if self.extract_type == "dcatus":
+ if self.extract_type == "datajson":
+ if "identifier" not in record: # TODO: what to do?
+ continue
i, h = record["identifier"], dataset_to_hash(sort_dataset(record))
- if self.extract_type == "waf":
+ if self.extract_type == "waf-collection":
i, h = self.get_title_from_fgdc(record["content"]), dataset_to_hash(
record["content"].decode(
"utf-8"
@@ -124,17 +149,21 @@ def traverse_waf(self, url, files=[], file_ext=".xml", folder="/", filters=[]):
# TODO: add exception handling
parent = os.path.dirname(url.rstrip("/"))
+ folders = []
+
res = requests.get(url)
if res.status_code == 200:
soup = BeautifulSoup(res.content, "html.parser")
anchors = soup.find_all("a", href=True)
- folders = []
for anchor in anchors:
if (
- anchor["href"].endswith(folder)
- and not parent.endswith(anchor["href"].rstrip("/"))
- and anchor["href"] not in filters
+ anchor["href"].endswith(folder) # is the anchor link a folder?
+ and not parent.endswith(
+ anchor["href"].rstrip("/")
+ ) # it's not the parent folder right?
+ and anchor["href"]
+ not in filters # and it's not on our exclusion list?
):
folders.append(os.path.join(url, anchor["href"]))
@@ -169,7 +198,6 @@ def compare(self) -> None:
same_ids = harvest_ids & ckan_ids
# since python 3.7 dicts are insertion ordered so deletions will occur first
- self.compare_data = {"delete": None, "create": None, "update": None}
self.compare_data["delete"] = ckan_ids - harvest_ids
self.compare_data["create"] = harvest_ids - ckan_ids
self.compare_data["update"] = set(
@@ -187,9 +215,15 @@ def get_ckan_records_as_id_hash(self) -> None:
self.ckan_to_id_hash(self.get_ckan_records())
def get_harvest_records_as_id_hash(self) -> None:
- if self.extract_type == "dcatus":
- self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
- if self.extract_type == "waf":
+ if self.extract_type == "datajson":
+ download_res = self.download_dcatus()
+ if download_res is None or "dataset" not in download_res:
+ self.no_harvest_resp = True
+ return
+ self.harvest_to_id_hash(download_res["dataset"])
+ if self.extract_type == "waf-collection":
+ # TODO: break out the xml catalogs as records
+ # TODO: handle no response
self.harvest_to_id_hash(
self.download_waf(self.traverse_waf(self.url, **self.waf_config))
)
@@ -198,16 +232,22 @@ def get_record_changes(self) -> None:
"""determine which records needs to be updated, deleted, or created"""
self.get_ckan_records_as_id_hash()
self.get_harvest_records_as_id_hash()
+ if self.no_harvest_resp is True:
+ return
self.compare()
def synchronize_records(self) -> None:
- """runs the delete, update, and create"""
+ """runs the delete, update, and create
+ - self.compare can be empty becuase there was no harvest source response
+ or there's truly nothing to process
+ """
for operation, ids in self.compare_data.items():
for i in ids:
if operation == "delete":
# we don't actually create a Record instance for deletions
# so creating it here as a sort of acknowledgement
self.records[i] = Record(self, i)
+ self.records[i].operation = operation
self.records[i].delete_record()
continue
@@ -263,54 +303,46 @@ def metadata_hash(self) -> str:
return self._metadata_hash
@property
- def operation(self):
+ def operation(self) -> str:
return self._operation
@operation.setter
- def operation(self, value):
+ def operation(self, value) -> None:
if value not in ["create", "update", "delete", None]:
raise ValueError("Unknown operation being set to record")
self._operation = value
@property
- def valid(self):
+ def valid(self) -> bool:
return self._valid
@valid.setter
- def valid(self, value):
+ def valid(self, value) -> None:
if not isinstance(value, bool):
raise ValueError("Record validity must be expressed as a boolean")
self._valid = value
@property
- def validation_msg(self):
+ def validation_msg(self) -> str:
return self._validation_msg
@validation_msg.setter
- def validation_msg(self, value):
+ def validation_msg(self, value) -> None:
if not isinstance(value, str):
raise ValueError("status must be a string")
self._validation_msg = value
@property
- def status(self):
+ def status(self) -> None:
return self._status
@status.setter
- def status(self, value):
+ def status(self, value) -> None:
if not isinstance(value, str):
raise ValueError("status must be a string")
self._status = value
- # ckanify methods
- def create_ckan_extra_base(self, *args) -> dict:
- keys = ["publisher_hierarchy", "resource-type", "publisher"]
- data = zip(keys, args)
- return [{"key": d[0], "value": d[1]} for d in data]
-
- def create_ckan_extras_additions(
- self, metadata: dict, additions: list[dict]
- ) -> list[dict]:
+ def create_ckan_extras(self) -> list[dict]:
extras = [
"accessLevel",
"bureauCode",
@@ -320,20 +352,44 @@ def create_ckan_extras_additions(
"publisher",
]
- output = []
+ output = [{"key": "resource-type", "value": "Dataset"}]
for extra in extras:
+ if extra not in self.metadata:
+ continue
data = {"key": extra, "value": None}
- val = metadata[extra]
+ val = self.metadata[extra]
if extra == "publisher":
data["value"] = val["name"]
+
+ output.append(
+ {
+ "key": "publisher_hierarchy",
+ "value": self.create_ckan_publisher_hierarchy(val, []),
+ }
+ )
+
else:
if isinstance(val, list): # TODO: confirm this is what we want.
val = val[0]
data["value"] = val
output.append(data)
- return output + additions
+ output.append(
+ {
+ "key": "dcat_metadata",
+ "value": str(sort_dataset(self.metadata)),
+ }
+ )
+
+ output.append(
+ {
+ "key": self.harvest_source.extra_source_name,
+ "value": self.harvest_source.title,
+ }
+ )
+
+ return output
def create_ckan_tags(self, keywords: list[str]) -> list:
output = []
@@ -344,7 +400,7 @@ def create_ckan_tags(self, keywords: list[str]) -> list:
return output
- def create_ckan_publisher_hierarchy(self, pub_dict: dict, data: list = []):
+ def create_ckan_publisher_hierarchy(self, pub_dict: dict, data: list = []) -> str:
for k, v in pub_dict.items():
if k == "name":
data.append(v)
@@ -361,14 +417,17 @@ def get_email_from_str(self, in_str: str) -> str:
def create_ckan_resources(self, metadata: dict) -> list[dict]:
output = []
- if "distribution" not in metadata:
+ if "distribution" not in metadata or metadata["distribution"] is None:
return output
for dist in metadata["distribution"]:
- url_key = "downloadURL" if "downloadURL" in dist else "accessURL"
- resource = {"url": dist[url_key]}
- if "mimetype" in dist:
- resource["mimetype"] = dist["mediaType"]
+ url_keys = ["downloadURL", "accessURL"]
+ for url_key in url_keys:
+ if dist.get(url_key, None) is None:
+ continue
+ resource = {"url": dist[url_key]}
+ if "mimetype" in dist:
+ resource["mimetype"] = dist["mediaType"]
output.append(resource)
@@ -376,9 +435,11 @@ def create_ckan_resources(self, metadata: dict) -> list[dict]:
def simple_transform(self, metadata: dict) -> dict:
output = {
- "name": "-".join(metadata["title"].lower().split()),
+ "name": "-".join(str(metadata["title"]).lower().split()),
"owner_org": "test", # TODO: CHANGE THIS!
"identifier": self.metadata["identifier"],
+ "author": None, # TODO: CHANGE THIS!
+ "author_email": None, # TODO: CHANGE THIS!
}
mapping = {
@@ -405,48 +466,16 @@ def simple_transform(self, metadata: dict) -> dict:
return output
- def create_defaults(self) -> dict:
- return {
- "author": None,
- "author_email": None,
- }
-
def ckanify_dcatus(self) -> None:
- output = self.simple_transform(self.metadata)
+ self.ckanified_metadata = self.simple_transform(self.metadata)
- resources = self.create_ckan_resources(self.metadata)
- tags = self.create_ckan_tags(self.metadata["keyword"])
- pubisher_hierarchy = self.create_ckan_publisher_hierarchy(
- self.metadata["publisher"], []
+ self.ckanified_metadata["resources"] = self.create_ckan_resources(self.metadata)
+ self.ckanified_metadata["tags"] = (
+ self.create_ckan_tags(self.metadata["keyword"])
+ if "keyword" in self.metadata
+ else []
)
-
- extras_base = self.create_ckan_extra_base(
- pubisher_hierarchy, "Dataset", self.metadata["publisher"]["name"]
- )
- extras = self.create_ckan_extras_additions(self.metadata, extras_base)
-
- defaults = self.create_defaults()
-
- output["resources"] = resources
- output["tags"] = tags
-
- output["extras"] = extras_base
- output["extras"] += extras
- output["extras"] += [
- {
- "key": "dcat_metadata",
- "value": str(sort_dataset(self.metadata)),
- }
- ]
-
- output["extras"] += [
- {
- "key": self.harvest_source.extra_source_name,
- "value": self.harvest_source.title,
- }
- ]
-
- self.ckanified_metadata = {**output, **defaults}
+ self.ckanified_metadata["extras"] = self.create_ckan_extras()
def validate(self) -> None:
validator = Draft202012Validator(self.harvest_source.dataset_schema)
@@ -495,3 +524,40 @@ def sync(self) -> None:
self.create_record()
if self.operation == "update":
self.update_record()
+
+
+# ruff: noqa: E501
+# if __name__ == "__main__":
+# from datetime import datetime
+# import traceback
+
+# s = datetime.now()
+
+# f = open(
+# "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/tests/harvest-sources/dcatus/all_harvest_sources/exceptions_with_200_check.txt",
+# "w",
+# )
+
+# c = 0
+
+# for i in range(5):
+# j = f"/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/tests/harvest-sources/dcatus/all_harvest_sources/{i}.json"
+# sources = open_json(j)["result"]["results"]
+# for j in range(len(sources)):
+# source = sources[j]
+# harvest_source = HarvestSource(
+# source["title"], source["url"], source["source_type"]
+# )
+# try:
+# if harvest_source.extract_type == "waf-collection":
+# continue
+# harvest_source.get_record_changes()
+# harvest_source.synchronize_records()
+# c += 1
+# except Exception as e:
+# f.write(source["title"] + " " + source["url"] + " " "\n")
+# f.writelines(traceback.format_exception(None, e, e.__traceback__))
+# f.write("\n\n")
+
+# print(c)
+# print(datetime.now() - s)
diff --git a/tests/conftest.py b/tests/conftest.py
index f0bc2787..a1626ad9 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -11,7 +11,7 @@ def dcatus_config() -> dict:
return {
"_title": "test_harvest_source_name",
"_url": "http://localhost/dcatus/dcatus.json",
- "_extract_type": "dcatus",
+ "_extract_type": "datajson",
}
@@ -21,7 +21,7 @@ def waf_config() -> dict:
return {
"_title": "test_harvest_source_name",
"_url": "http://localhost",
- "_extract_type": "waf",
+ "_extract_type": "waf-collection",
"_waf_config": {"filters": ["../", "dcatus/"]},
}
@@ -32,7 +32,7 @@ def dcatus_compare_config() -> dict:
return {
"_title": "test_harvest_source_name",
"_url": "http://localhost/dcatus/dcatus_compare.json",
- "_extract_type": "dcatus",
+ "_extract_type": "datajson",
}
diff --git a/tests/harvest-sources/dcatus/all_daily_sources.json b/tests/harvest-sources/dcatus/all_daily_sources.json
new file mode 100644
index 00000000..75815414
--- /dev/null
+++ b/tests/harvest-sources/dcatus/all_daily_sources.json
@@ -0,0 +1,1252 @@
+{
+ "help": "https://catalog.data.gov/api/3/action/help_show?name=package_search",
+ "success": true,
+ "result": {
+ "count": 36,
+ "facets": {},
+ "results": [
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "DAILY",
+ "id": "04b59eaf-ae53-4066-93db-80f2ed0df446",
+ "metadata_created": "2020-11-10T17:33:30.574802",
+ "metadata_modified": "2020-11-10T21:53:23.615213",
+ "name": "epa-sciencehub",
+ "notes": "Office of Research and Development Data Catalog",
+ "organization": {
+ "id": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "name": "epa-gov",
+ "title": "U.S. Environmental Protection Agency",
+ "type": "organization",
+ "description": "Our mission is to protect human health and the environment. ",
+ "image_url": "https://edg.epa.gov/EPALogo.svg",
+ "created": "2020-11-10T15:10:42.298896",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "datajson",
+ "state": "active",
+ "title": "EPA ScienceHub",
+ "type": "harvest",
+ "url": "https://pasteur.epa.gov/metadata.json",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": [],
+ "extras": []
+ },
+ {
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "DAILY",
+ "id": "2228b51b-f6ea-4e22-88d0-3dca800a0246",
+ "metadata_created": "2020-11-10T17:36:32.724592",
+ "metadata_modified": "2021-05-14T15:22:51.643256",
+ "name": "fcc",
+ "notes": "FCC Data.json harvest source",
+ "organization": {
+ "id": "bb10fdb9-d96f-4284-9a5f-9ed269d9dbcb",
+ "name": "fcc-gov",
+ "title": "Federal Communications Commission",
+ "type": "organization",
+ "description": "",
+ "image_url": "https://transition.fcc.gov/files/logos/fcc-logo_teal-on-white.jpg",
+ "created": "2020-11-10T17:36:32.009064",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "bb10fdb9-d96f-4284-9a5f-9ed269d9dbcb",
+ "private": false,
+ "source_type": "datajson",
+ "state": "active",
+ "title": "FCC Data.json",
+ "type": "harvest",
+ "url": "https://opendata.fcc.gov/data.json",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": [],
+ "extras": []
+ },
+ {
+ "creator_user_id": "00ab5c24-fbf1-4aa3-9089-712931052777",
+ "frequency": "DAILY",
+ "id": "2762624f-7498-4ed8-a1cf-1c010ca6b6ea",
+ "metadata_created": "2022-05-16T23:51:00.097966",
+ "metadata_modified": "2022-05-16T23:51:00.097974",
+ "name": "bls-data",
+ "notes": "",
+ "organization": {
+ "id": "4af4b741-65f5-4ac6-950d-75e1abc1a7df",
+ "name": "u-s-department-of-labor-bureau-of-labor-statistics",
+ "title": "U.S. Department of Labor Bureau of Labor Statistics",
+ "type": "organization",
+ "description": "**The Bureau of Labor Statistics** (BLS) of the U.S. Department of Labor is the principal federal agency responsible for measuring labor market activity, working conditions, and price changes in the economy. Its mission is to collect, analyze, and disseminate essential economic information to support public and private decision making. As an independent statistical agency, BLS serves its diverse user communities by providing products and services that are accurate, objective, relevant, timely, and accessible.",
+ "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/7/76/Bureau_of_Labor_Statistics_logo.svg/200px-Bureau_of_Labor_Statistics_logo.svg.png",
+ "created": "2022-05-16T23:49:00.340032",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "4af4b741-65f5-4ac6-950d-75e1abc1a7df",
+ "private": false,
+ "source_type": "datajson",
+ "state": "active",
+ "title": "BLS Data",
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+ "private_datasets": "False",
+ "source_type": "datajson",
+ "state": "active",
+ "title": "ARM data.json",
+ "type": "harvest",
+ "url": "https://www.archive.arm.gov/metadata/data.json",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": [],
+ "extras": []
+ },
+ {
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "DAILY",
+ "id": "dd483763-d1b3-4694-85ac-dd9398643efc",
+ "metadata_created": "2020-11-10T15:29:58.134439",
+ "metadata_modified": "2023-04-17T20:25:01.264355",
+ "name": "nsf-json",
+ "notes": "",
+ "organization": {
+ "id": "11e6e64e-9478-4c25-b0cc-3ab685f0e0e5",
+ "name": "nsf-gov",
+ "title": "National Science Foundation",
+ "type": "organization",
+ "description": "",
+ "image_url": "https://raw.githubusercontent.com/GSA/logo/master/nsf.png",
+ "created": "2020-11-10T15:29:57.821295",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "11e6e64e-9478-4c25-b0cc-3ab685f0e0e5",
+ "private": false,
+ "source_type": "datajson",
+ "state": "active",
+ "title": "NSF JSON",
+ "type": "harvest",
+ "url": "https://www.nsf.gov/data.json",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": [],
+ "extras": []
+ }
+ ],
+ "sort": "views_recent desc",
+ "search_facets": {}
+ }
+}
diff --git a/tests/harvest-sources/dcatus/all_harvest_sources/0.json b/tests/harvest-sources/dcatus/all_harvest_sources/0.json
new file mode 100644
index 00000000..ad31605e
--- /dev/null
+++ b/tests/harvest-sources/dcatus/all_harvest_sources/0.json
@@ -0,0 +1,6995 @@
+{
+ "help": "https://catalog.data.gov/api/3/action/help_show?name=package_search",
+ "success": true,
+ "result": {
+ "count": 916,
+ "facets": {},
+ "results": [
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_zcta510.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_zcta510.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "d7449ff5-d51b-4cc7-8950-bfd1ea9d2ff6",
+ "metadata_created": "2020-11-10T15:07:22.227947",
+ "metadata_modified": "2020-11-10T20:08:17.675330",
+ "name": "census-5-digit-zip-code-tabulation-area-zcta5-national",
+ "notes": "ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. The Census Bureau delineates ZCTA boundaries for the United States, Puerto Rico, American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands once each decade following the decennial census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery. The Census Bureau uses tabulation blocks as the basis for defining each ZCTA. Tabulation blocks are assigned to a ZCTA based on the most frequently occurring ZIP Code for the addresses contained within that block. The most frequently occurring ZIP Code also becomes the five-digit numeric code of the ZCTA. These codes may contain leading zeros. Blocks that do not contain addresses but are surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA. Because the Census Bureau only uses the most frequently occurring ZIP Code to assign blocks, a ZCTA may not exist for every USPS ZIP Code. Some ZIP Codes may not have a matching ZCTA because too few addresses were associated with the specific ZIP Code or the ZIP Code was not the most frequently occurring ZIP Code within any of the blocks where it exists. The ZCTA boundaries in this release are those delineated following the 2010 Census.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Census 5-Digit ZIP Code Tabulation Area (ZCTA5) National",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/zcta510/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "DAILY",
+ "id": "04b59eaf-ae53-4066-93db-80f2ed0df446",
+ "metadata_created": "2020-11-10T17:33:30.574802",
+ "metadata_modified": "2020-11-10T21:53:23.615213",
+ "name": "epa-sciencehub",
+ "notes": "Office of Research and Development Data Catalog",
+ "organization": {
+ "id": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "name": "epa-gov",
+ "title": "U.S. Environmental Protection Agency",
+ "type": "organization",
+ "description": "Our mission is to protect human health and the environment. ",
+ "image_url": "https://edg.epa.gov/EPALogo.svg",
+ "created": "2020-11-10T15:10:42.298896",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "datajson",
+ "state": "active",
+ "title": "EPA ScienceHub",
+ "type": "harvest",
+ "url": "https://pasteur.epa.gov/metadata.json",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": [],
+ "extras": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_prisecroads.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_prisecroads.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "00342b61-7ba0-4d31-aba2-83242f5ffa4c",
+ "metadata_created": "2020-11-10T15:00:37.756768",
+ "metadata_modified": "2020-11-10T20:06:20.153228",
+ "name": "primary-and-secondary-roads-state-based-shapefile",
+ "notes": "Primary roads are generally divided, limited-access highways within the interstate highway system or under State management, and are distinguished by the presence of interchanges. These highways are accessible by ramps and may include some toll highways. The MAF/TIGER Feature Classification Code (MTFCC) is S1100 for primary roads. Secondary roads are main arteries, usually in the U.S. Highway, State Highway, and/or County Highway system. These roads have one or more lanes of traffic in each direction, may or may not be divided, and usually have at-grade intersections with many other roads and driveways. They usually have both a local name and a route number. The MAF/TIGER Feature Classification Code (MTFCC) is S1200 for secondary roads.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Primary and Secondary Roads State-based Shapefile",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/prisecroads/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2011/SeriesInformation/SeriesCollection_tl_2011_taz10.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2011/SeriesInformation/SeriesCollection_tl_2011_taz10.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "885984cc-67f7-4e31-b554-d7fa7e32aba9",
+ "metadata_created": "2020-11-10T15:07:51.622368",
+ "metadata_modified": "2020-11-10T20:09:03.386538",
+ "name": "2010-census-traffic-analysis-zone-taz-state-based",
+ "notes": "Traffic analysis zones (TAZs) are basic spatial units of analysis facilitating the ability of transportation planners to forecast changes in commuting patterns, trip volumes, and modes of travel, and to develop plans to meet the changing demands for transportation facilities and capacities. Each TAZ represents an area containing similar kinds of land use and commuter travel.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2010 Census Traffic Analysis Zone (TAZ) State-based",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2011/taz/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_addr.dbf.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_addr.dbf.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "ccbc2ae8-0250-410f-b9e0-621653cd6e29",
+ "metadata_created": "2020-11-10T14:08:18.061448",
+ "metadata_modified": "2020-11-10T19:51:12.432587",
+ "name": "census-tiger-2012-address-data",
+ "notes": "",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Census TIGER 2012 Address Data",
+ "type": "harvest",
+ "url": "http://www2.census.gov/geo/datadotgov/addr/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_aiannh.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_aiannh.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "dffbf96b-7c42-4a3e-99ed-34d378cfc6b0",
+ "metadata_created": "2020-11-10T14:15:32.697636",
+ "metadata_modified": "2020-11-10T20:01:54.882592",
+ "name": "current-american-indian-alaska-native-native-hawaiian-areas-national-aiannh",
+ "notes": "The American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas Shapefile includes the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs). Joint use areas are also included in this shapefile refer to areas that are administered jointly and/or claimed by two or more American Indian tribes. The Census Bureau designates both legal and statistical joint use areas as unique geographic entities for the purpose of presenting statistical data. Note that tribal subdivisions and Alaska Native Regional Corporations (ANRCs) are additional types of American Indian/Alaska Native areas stored by the Census Bureau, but are displayed in separate shapefiles because of how they fall within the Census Bureau's geographic hierarchy. The State of Hawaii's Office of Hawaiian Home Lands provides the legal boundaries for the HHLs. The boundaries for ANVSAs, OTSAs, and TDSAs were delineated for the 2010 Census through the Tribal Statistical Areas Program (TSAP) by participants from the federally recognized tribal governments. The Bureau of Indian Affairs (BIA) within the U.S. Department of the Interior (DOI) provides the list of federally recognized tribes and only provides legal boundary information when the tribes need supporting records, if a boundary is based on treaty or another document that is historical or open to legal interpretation, or when another tribal, state, or local government challenges the depiction of a reservation or off-reservation trust land. The boundaries for federally recognized American Indian reservations and off-reservation trust lands are as of January 1 of the public shapefile release year, as reported by the federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries for state-recognized American Indian reservations and for SDTSAs were delineated by a state governor-appointed liaisons for the 2010 Census through the State American Indian Reservation Program and TSAP respectively.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Current American Indian/Alaska Native/Native Hawaiian Areas National (AIANNH)",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/aiannh/",
+ "extras": [
+ {
+ "key": "__category_tag_9a350fa9-bc49-43d4-8e77-270b9714976d",
+ "value": "[\"Hawaii\",\"State\"]"
+ }
+ ],
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "WEEKLY",
+ "id": "3636b698-f3eb-4e93-a26e-b664cc785274",
+ "metadata_created": "2020-11-10T14:13:07.098470",
+ "metadata_modified": "2021-08-02T19:41:46.912605",
+ "name": "new-mexico-resource-geographic-information-system-nm-rgis",
+ "notes": "The New Mexico Resource Geographic Information System is New Mexico's geospatial data clearinghouse. It provides a wide variety of data products and standard services based upon those data for integration into desktop Geographic Information Systems (GIS) and other desktop and web-based geospatial applications. For more information please visit the NM RGIS [website](http://rgis.unm.edu \"NM RGIS Web Site Link\"). ",
+ "organization": {
+ "id": "6a3f935c-da6f-47f6-a386-1c76afd0b1e0",
+ "name": "edac-unm-edu",
+ "title": "Earth Data Analysis Center, University of New Mexico",
+ "type": "organization",
+ "description": "The Earth Data Analysis Center (EDAC) at the University of New Mexico is an Applied Research Center that specializes in geospatial data development, management, analysis and applications. Through partnerships with collaborators in public health, emergency management and planning, resource management, transportation, water resources and many other domains, EDAC enables the integration of geospatial data, knowledge and technologies into solutions across these topic areas. For more information about EDAC please visit our [website](http://edac.unm.edu \"EDAC web page link\")",
+ "image_url": "https://edac.unm.edu/wordpress/wp-content/uploads/2012/07/EDAC-Banner.jpg",
+ "created": "2020-11-10T14:13:06.898778",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "6a3f935c-da6f-47f6-a386-1c76afd0b1e0",
+ "private": false,
+ "source_type": "waf",
+ "state": "active",
+ "title": "New Mexico Resource Geographic Information System (NM RGIS)",
+ "type": "harvest",
+ "url": "http://rgismetadata.unm.edu/19115/collections/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "DAILY",
+ "id": "2228b51b-f6ea-4e22-88d0-3dca800a0246",
+ "metadata_created": "2020-11-10T17:36:32.724592",
+ "metadata_modified": "2021-05-14T15:22:51.643256",
+ "name": "fcc",
+ "notes": "FCC Data.json harvest source",
+ "organization": {
+ "id": "bb10fdb9-d96f-4284-9a5f-9ed269d9dbcb",
+ "name": "fcc-gov",
+ "title": "Federal Communications Commission",
+ "type": "organization",
+ "description": "",
+ "image_url": "https://transition.fcc.gov/files/logos/fcc-logo_teal-on-white.jpg",
+ "created": "2020-11-10T17:36:32.009064",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "bb10fdb9-d96f-4284-9a5f-9ed269d9dbcb",
+ "private": false,
+ "source_type": "datajson",
+ "state": "active",
+ "title": "FCC Data.json",
+ "type": "harvest",
+ "url": "https://opendata.fcc.gov/data.json",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": [],
+ "extras": []
+ },
+ {
+ "creator_user_id": "00ab5c24-fbf1-4aa3-9089-712931052777",
+ "frequency": "DAILY",
+ "id": "2762624f-7498-4ed8-a1cf-1c010ca6b6ea",
+ "metadata_created": "2022-05-16T23:51:00.097966",
+ "metadata_modified": "2022-05-16T23:51:00.097974",
+ "name": "bls-data",
+ "notes": "",
+ "organization": {
+ "id": "4af4b741-65f5-4ac6-950d-75e1abc1a7df",
+ "name": "u-s-department-of-labor-bureau-of-labor-statistics",
+ "title": "U.S. Department of Labor Bureau of Labor Statistics",
+ "type": "organization",
+ "description": "**The Bureau of Labor Statistics** (BLS) of the U.S. Department of Labor is the principal federal agency responsible for measuring labor market activity, working conditions, and price changes in the economy. Its mission is to collect, analyze, and disseminate essential economic information to support public and private decision making. As an independent statistical agency, BLS serves its diverse user communities by providing products and services that are accurate, objective, relevant, timely, and accessible.",
+ "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/7/76/Bureau_of_Labor_Statistics_logo.svg/200px-Bureau_of_Labor_Statistics_logo.svg.png",
+ "created": "2022-05-16T23:49:00.340032",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "4af4b741-65f5-4ac6-950d-75e1abc1a7df",
+ "private": false,
+ "source_type": "datajson",
+ "state": "active",
+ "title": "BLS Data",
+ "type": "harvest",
+ "url": "https://www.bls.gov/data.json",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": [],
+ "extras": []
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+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_roads.shp.iso.xml\", \"private_datasets\": \"False\"}",
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+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "metadata_modified": "2020-11-10T22:55:29.744210",
+ "name": "2019cb-csa",
+ "notes": "Combined Statistical Areas (CSAs) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent Core Based Statistical Areas (CBSAs) that have significant employment interchanges",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_tract.shp.iso.xml\", \"private_datasets\": \"False\"}",
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+ "name": "current-census-tract-state-based",
+ "notes": "Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ {
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+ "value": "[\"State\",\"Pacific Islands\",\"Hawaii\",\"Guam\",\"Northern Mariana Islands\",\"American Samoa\"]"
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+ "metadata_created": "2020-11-10T17:50:15.234936",
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+ "name": "2016-cd",
+ "notes": " Congressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the States based on census population counts, each State is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a State as practicable. The 115th Congress is seated from January 2015 to 2017. The TIGER/Line shapefiles for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts are provided to the Census Bureau through the Redistricting Data Program (RDP). ",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "metadata_created": "2020-11-10T16:45:58.805525",
+ "metadata_modified": "2020-11-10T21:31:15.922836",
+ "name": "2014-cbsa-20m",
+ "notes": "Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urbanized areas of 50,000 or more population; and Micropolitan Statistical Areas, based on urban clusters of at least 10,000 population but less than 50,000 population.\r\n\r\nThe CBSAs boundaries are those defined by OMB based on the 2010 Census and published in 2013.",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "title": "2014_cbsa_20m",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/cbsa_20m/",
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+ "metadata_created": "2020-11-10T18:07:26.739949",
+ "metadata_modified": "2020-11-10T22:25:30.183551",
+ "name": "2017-region-500",
+ "notes": "Regions are four groupings of states (Northeast, South, Midwest, and West) established by the Census Bureau in 1942 for the presentation of census data.",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_region_500",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/region_500/",
+ "resources": [],
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+ "metadata_created": "2020-11-10T16:57:58.133520",
+ "metadata_modified": "2020-11-10T21:44:20.693694",
+ "name": "2015tigeraiannh",
+ "notes": " The American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas Shapefile includes the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs).",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "source_type": "waf",
+ "state": "active",
+ "title": "2015tigeraiannh",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/aiannh/",
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+ "metadata_created": "2020-11-10T16:52:28.457189",
+ "metadata_modified": "2020-11-10T21:36:58.896082",
+ "name": "2014-state-500k",
+ "notes": "States and equivalent entities are the primary governmental divisions of the United States. In addition to the fifty States, the Census Bureau treats the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) as the statistical equivalents of States for the purpose of data presentation.",
+ "organization": {
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+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
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+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2014_state_500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/state_500k/",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_addrfn.dbf.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T17:49:46.889388",
+ "metadata_modified": "2020-11-10T22:09:35.735227",
+ "name": "2016-addrfn",
+ "notes": "\r\n\r\n\r\nThe Address Range / Feature Name Relationship File (ADDRFN.dbf) contains a record for each address range / linear feature name relationship. The purpose of this relationship file is to identify all street names associated with each address range. An edge can have several feature names; an address range located on an edge can be associated with one or any combination of the available feature names (an address range can be linked to multiple feature names). The address range is identified by the address range identifier (ARID) attribute that can be used to link to the Address Ranges Relationship File (ADDR.dbf). The linear feature name is identified by the linear feature identifier (LINEARID) attribute that can be used to link to the Feature Names Relationship File (FEATNAMES.dbf).",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
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+ "state": "active",
+ "title": "2016_addrfn",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/addrfn/",
+ "resources": [],
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+ "organization": {
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+ "notes": "School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts. The cartographic boundary files include separate files for elementary, secondary and unified school districts. The generalized school district boundaries in this file are based on those in effect for the 2015-2016 school year, i.e., in operation as of January 1, 2016.",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "notes": "Congressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives.",
+ "organization": {
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019County.shp.iso.xml\", \"private_datasets\": \"False\"}",
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+ "notes": " The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
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+ "title": "2019cb_county",
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+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "notes": "Metropolitan Statistical Area/Micropolitan Statistical Area for United States, 1:500,000",
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+ "name": "census-gov",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "metadata_created": "2020-11-10T17:48:36.343043",
+ "metadata_modified": "2020-11-10T22:08:05.738530",
+ "name": "2016-primaryroads",
+ "notes": "Primary roads are generally divided, limited-access highways within the interstate highway system or under State management, and are distinguished by the presence of interchanges. These highways are accessible by ramps and may include some toll highways. The MAF/TIGER Feature Classification Code (MTFCC) is S1100 for primary roads. \r\n ",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "is_organization": true,
+ "approval_status": "approved",
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+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2016_primaryroads",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/primaryroads/",
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+ "metadata_created": "2020-11-10T17:40:23.705203",
+ "metadata_modified": "2020-11-10T22:02:04.736068",
+ "name": "2016-kml-csa-5",
+ "notes": "Combined Statistical Areas (CSAs) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent Core Based Statistical Areas (CBSAs) that have significant employment interchanges. The CBSAs that combine to create a CSA retain separateidentities within the larger CSA. Because CSAs represent groupings of CBSAs, they should not be ranked or compared with individual CBSAs.\r\n ",
+ "organization": {
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "is_organization": true,
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+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2016_kml_csa_5",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/kml_csa_5/",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_facesal.dbf.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_modified": "2020-11-10T20:28:22.931978",
+ "name": "2014-topological-faces-area-landmark-state",
+ "notes": "The Topological Faces / Area Landmark Relationship File (FACESAL.dbf) contains a record for each face / area landmark relationship. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The face to which a record in the Topological Faces / Area Landmark Relationship File (FACESAL.dbf) applies can be determined by linking to the Topological Faces Shapefile (FACES.shp) on the permanent topological face identifier (TFID) attribute. The area landmark to which a record in the Topological Faces / Area Landmark Relationship File (FACESAL.dbf) applies can be determined by linking to the Area Landmark Shapefile (AREALM.shp) on the area landmark identifier (AREAID) attribute. A face may be part of multiple area landmarks. An area landmark may consist of multiple faces. \r\n",
+ "organization": {
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
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+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014 Topological Faces-Area Landmark State",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/facesal/",
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+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/ParentFiles/SeriesCollection_cb_2016_elsd_500k.kml.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_modified": "2020-11-10T22:22:40.223774",
+ "name": "2017-elsd-500kml",
+ "notes": "School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts.\r\n\r\nThe cartographic boundary files include separate files for elementary, secondary and unified school districts. The generalized school district boundaries in this file are based on those in effect for the 2015-2016 school year, i.e., in operation as of January 1, 2016.",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2017_elsd_500kml",
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+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/elsd_500kml/",
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+ "metadata_created": "2020-11-10T16:53:54.199366",
+ "metadata_modified": "2020-11-10T21:38:56.461050",
+ "name": "2014-kml-cd114-500k",
+ "notes": "Congressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives.",
+ "organization": {
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+ "name": "census-gov",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "is_organization": true,
+ "approval_status": "approved",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2014_kml_cd114_500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/cd114_500k/",
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+ "metadata_created": "2020-11-10T18:12:39.893681",
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+ "organization": {
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+ "name": "census-gov",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "is_organization": true,
+ "approval_status": "approved",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_metdiv",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/metdiv/",
+ "resources": [],
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+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019RegionKML.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019RegionKML.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "97557b78-874f-405d-828c-1af10ee32878",
+ "metadata_created": "2020-11-10T18:47:54.547619",
+ "metadata_modified": "2020-11-10T22:57:53.394714",
+ "name": "2019cb-regionkml",
+ "notes": "Regions are four groupings of states (Northeast, South, Midwest, and West) established by the Census Bureau in 1942 for the presentation of census data.",
+ "organization": {
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+ "name": "census-gov",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019cb_regionkml",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/region_kml/",
+ "resources": [],
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+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_facesmil.dbf.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_facesmil.dbf.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
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+ "metadata_created": "2020-11-10T15:38:06.146073",
+ "metadata_modified": "2020-11-10T20:28:32.048401",
+ "name": "2014-topological-faces-military-installation",
+ "notes": "\r\n\r\nThe Topological Faces / Military Installation Relationship File (FACESMIL.dbf) contains a record for each face / military installation relationship. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The face to which a record in the Topological Faces / Military Installation Relationship File (FACESMIL.dbf) applies can be determined by linking to the Topological Faces Shapefile (FACES.shp) on the permanent topological face identifier (TFID) attribute. The military installation to which a record in the Topological Faces / Military Installation Relationship File (FACESMIL.dbf) applies can be determined by linking to the Military Installation Shapefile (MIL.shp) on the military installation identifier (AREAID) attribute. A face may be part of multiple military installations. A military installation may consist of multiple faces. \r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014 Topological Faces-Military Installation",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/facesmil/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "0ff3fa76-fe9b-474c-9ae7-6f09b4bbef33",
+ "metadata_created": "2020-11-10T16:53:14.518306",
+ "metadata_modified": "2020-11-10T21:38:02.153206",
+ "name": "2014-kml-anrc-500k",
+ "notes": "Alaska Native Regional Corporations (ANRCs) were created pursuant to the Alaska Native Claims Settlement Act (ANCSA), which is federal legislation (Pub. L. 92-203, 85 Stat. 688 (1971); 43 U.S.C. 1602 et seq. (2000)) enacted in 1971, as a \"Regional Corporation\" and organized under the laws of the State of Alaska to conduct both the for-profit and non-profit affairs of Alaska Natives within a defined region of Alaska.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2014_kml_anrc_500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/anrc_500k/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "df07963f-2538-4b1d-8745-cccead2a9c72",
+ "metadata_created": "2020-11-10T18:30:02.175490",
+ "metadata_modified": "2020-11-10T22:39:08.260585",
+ "name": "2018-estate",
+ "notes": ". Estates are subdivisions of the three major islands in the United States Virgin Islands (USVI). The estates have legally defined boundaries and are much smaller in area than the Census Subdistricts (county subdivisions), but do not necessarily nest within these districts. The boundaries of the estates are primarily those of the former agricultural plantations that existed at the time Denmark transferred the islands to the United States in 1917.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2018_estate",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/estate/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "d44d94ed-d988-4ccb-923c-5dd664eeb174",
+ "metadata_created": "2020-11-10T16:51:29.306389",
+ "metadata_modified": "2020-11-10T21:35:37.949924",
+ "name": "2014-necta-500k",
+ "notes": "In New England (Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont), the Office of Management and Budget (OMB) has defined an alternative county subdivision (generally cities and towns) based definition of Core Based Statistical Areas (CBSAs) known as New England City and Town Areas (NECTAs). NECTAs are defined using the same criteria as Metropolitan Statistical Areas and Micropolitan Statistical Areas and are identified as either metropolitan or micropolitan, based, respectively, on the presence of either an urban area of 50,000 or more population or an urban cluster of at least 10,000 and less than 50,000 population. A NECTA containing a single core urban area with a population of at least 2.5 million may be subdivided to form smaller groupings of cities and towns referred to as NECTA Divisions.\r\n\r\nThe generalized NECTA boundaries in this file are based on those defined by OMB based on the 2010 Census and published in 2013.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2014_necta_500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/necta_500k/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "cd4d7e7d-406f-4b64-bf9f-2129f3fd3294",
+ "metadata_created": "2020-11-10T16:57:10.297027",
+ "metadata_modified": "2020-11-10T21:43:17.684993",
+ "name": "2014-kml-ua10-500k",
+ "notes": "After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2014_kml_ua10_500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/ua10_500k/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_concity.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_concity.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "3435501e-9f64-4226-9a7c-27cd37ba781c",
+ "metadata_created": "2020-11-10T17:50:22.249926",
+ "metadata_modified": "2020-11-10T22:10:20.408562",
+ "name": "2016-concity",
+ "notes": "A consolidated city is a unit of local government for which the functions of an incorporated place and its county or minor civil division (MCD) have merged. This action results in both the primary incorporated place and the county or MCD continuing to exist as legal entities, even though the county or MCD performs few or no governmental functions and has few or no elected officials. Where this occurs, and where one or more other incorporated places in the county or MCD continue to function as separate governments, even though they have been included in the consolidated government, the primary incorporated place is referred to as a consolidated city. The Census Bureau classifies the separately incorporated places within the consolidated city as place entities and creates a separate place (balance) record for the portion of the consolidated city not within any other place. \r\n\r\n \r\nThe boundaries of the consolidated cities are those as of January 1, 2015, as reported through the Census Bureau's Boundary and Annexation Survey (BAS).\r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2016_concity",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/concity/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
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+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "99853606-f001-4a31-86be-e4286756a27d",
+ "metadata_created": "2020-11-10T18:10:13.527269",
+ "metadata_modified": "2023-05-08T19:40:08.731916",
+ "name": "iso-harvest-tests",
+ "notes": "ISO Harvest Tests",
+ "organization": {
+ "id": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "name": "epa-gov",
+ "title": "U.S. Environmental Protection Agency",
+ "type": "organization",
+ "description": "Our mission is to protect human health and the environment. ",
+ "image_url": "https://edg.epa.gov/EPALogo.svg",
+ "created": "2020-11-10T15:10:42.298896",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "private": false,
+ "source_type": "waf",
+ "state": "active",
+ "title": "ISO Harvest Tests",
+ "type": "harvest",
+ "url": "https://robinson.epa.gov/WAFer_harvest/ISOTest/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/ParentFiles/SeriesCollection_tl_2017_pointlm.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/ParentFiles/SeriesCollection_tl_2017_pointlm.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "b18aedb0-ae41-44df-839b-b203021bf682",
+ "metadata_created": "2020-11-10T18:13:31.343675",
+ "metadata_modified": "2020-11-10T22:32:45.337871",
+ "name": "2017-pointlm",
+ "notes": "The Census Bureau includes landmarks in the MTDB for locating special features and to help enumerators during field operations. Some of the more common landmark types include area landmarks such as airports, cemeteries, parks, mountain peaks/summits, schools, and churches and other religious institutions. The Census Bureau has added landmark features to MTDB on an as-needed basis and made no attempt to ensure that all instances of a particular feature were included. The presence or absence of a landmark such as a hospital or prison does not mean that the living quarters associated with that landmark were geocoded to that census tabulation block or excluded from the census ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2017_pointlm",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/pointlm/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "94516d67-15ee-450f-a4e3-cf6e2d7a70fb",
+ "metadata_created": "2020-11-10T17:29:52.487144",
+ "metadata_modified": "2020-11-10T21:49:45.432983",
+ "name": "2015tigertbg",
+ "notes": "A tribal block group is a cluster of census tabulation blocks within a single tribal census tract delineated by American Indian tribal participants or the Census Bureau for the purpose of presenting demographic data on their reservation and/or off-reservation trust land.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2015TigerTbg",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/tbg/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/ParentFiles/SeriesCollection_tl_2017_tabblock10.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/ParentFiles/SeriesCollection_tl_2017_tabblock10.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "26bccb69-10ac-4520-b6d3-156c89cd7fb2",
+ "metadata_created": "2020-11-10T18:24:59.540641",
+ "metadata_modified": "2020-11-10T22:33:57.476908",
+ "name": "2017-tabblock10",
+ "notes": " Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2017_tabblock10",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/tabblock10/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "da5b660d-17f9-42cb-b010-8a8c46092d16",
+ "metadata_created": "2020-11-10T17:54:41.810779",
+ "metadata_modified": "2020-11-10T22:15:46.312625",
+ "name": "2017-anrc-500",
+ "notes": "\r\n\r\nAlaska Native Regional Corporations (ANRCs) were created pursuant to the Alaska Native Claims Settlement Act (ANCSA), which is federal legislation (Pub. L. 92-203, 85 Stat. 688 (1971); 43 U.S.C. 1602 et seq. (2000)) enacted in 1971, as a \"Regional Corporation\" and organized under the laws of the State of Alaska to conduct both the for-profit and non-profit affairs of Alaska Natives within a defined region of Alaska. For the Census Bureau, ANRCs are considered legal geographic entities.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
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+ "notes": "\r\n American Indian tribal subdivisions are administrative subdivisions of federally recognized American Indian reservations/off-reservation trust lands or Oklahoma tribal statistical areas (OTSAs). These entities are internal units of self-government and/or administration that serve social, cultural, and/or economic purposes for the American Indian tribe or tribes on the reservations/off-reservation trust lands or OTSAs.",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "name": "2014-region-20m",
+ "notes": "Regions are four groupings of States (Northeast, South, Midwest, and West) established by the Census Bureau in 1942 for the presentation of census data.",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "notes": "This file depicts the shape of the United States clipped back to a generalized coastline. This Nation layer covers the extent of the fifty States, the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) when scale appropriate.",
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+ "notes": "State Legislative Districts (SLDs) are the areas from which members are elected to State legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia.",
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+ "notes": "\r\nState Legislative Districts (SLDs) are the areas from which members are elected to State legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. ",
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+ "name": "2014-military-installation",
+ "notes": "The Census Bureau includes landmarks such as military installations in the MTDB for locating special features and to help enumerators during field operations. In 2012, the Census Bureau obtained the inventory and boundaries of most military installations from the U.S. Department of Defense (DOD) for Air Force, Army, Marine, and Navy installations and from the U.S. Department of Homeland Security (DHS) for Coast Guard installations. \r\n\r\nThe military installation boundaries in this release represent the updates the Census Bureau made in 2012 in collaboration with DoD.",
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+ "title": "2014 Military Installation",
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+ "notes": "\r\n\r\n\r\nThe Census Bureau includes landmarks in the MTDB for locating special features and to help enumerators during field operations. Some of the more common landmark types include area landmarks such as airports, cemeteries, parks, mountain peaks/summits, schools, and churches and other religious institutions. The Census Bureau has added landmark features to MTDB on an as-needed basis and made no attempt to ensure that all instances of a particular feature were included. The presence or absence of a landmark such as a hospital or prison does not mean that the living quarters associated with that landmark were geocoded to that census tabulation block or excluded from the census enumeration. \r\n",
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+ "notes": "School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from State officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to States and school districts.\r\n\r\nTIGER/Line Shapefiles include separate shapefiles for elementary, secondary and unified school districts. The school district boundaries are those in effect for the 2018-2019 school year, i.e., in operation as of January 1, 2019.",
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+ "name": "nasa-data-json",
+ "notes": "NASA Data.gov Harvest Source Record",
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+ "notes": "This is the harvest source for the annual metadata harvest conducted by the Geography Division at the U.S. Census Bureau.",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "notes": "Congressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the States based on census population counts, each State is responsible for establishing congressional districts for the purpose of electing representatives. ",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "private_datasets": "False",
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+ "title": "116th Congressional District",
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+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/cd116/",
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+ "metadata_created": "2020-11-10T17:33:57.667343",
+ "metadata_modified": "2023-08-21T20:22:38.539505",
+ "name": "city-of-austin-data-json",
+ "notes": "City of Austin (Texas) Open Data",
+ "organization": {
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+ "name": "city-of-austin",
+ "title": "City of Austin",
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+ "description": "City of Austin (Texas) ",
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+ "created": "2020-11-10T17:33:56.939302",
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+ "source_type": "datajson",
+ "state": "active",
+ "title": "City of Austin Data.json",
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+ "url": "https://data.austintexas.gov/data.json",
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+ "metadata_created": "2020-11-10T15:10:25.092504",
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+ "name": "state-json",
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+ "organization": {
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+ "name": "state-gov",
+ "title": "Department of State",
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+ "image_url": "https://raw.githubusercontent.com/GSA/logo/master/state.png",
+ "created": "2020-11-10T15:10:24.824317",
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+ "state": "active",
+ "title": "State JSON",
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+ "name": "federal-trade-commission",
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+ "image_url": "https://www.ftc.gov/system/files/attachments/our-seal/seal.jpg",
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+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Current SCSD",
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+ "metadata_created": "2021-09-02T14:11:35.168079",
+ "metadata_modified": "2021-10-12T23:48:50.828556",
+ "name": "current-roads",
+ "notes": "",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
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+ "title": "US Census Bureau, Department of Commerce",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "title": "Current ROADS",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_prisecroads.shp.iso.xml\", \"private_datasets\": \"False\"}",
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+ "metadata_created": "2020-11-10T15:50:13.531534",
+ "metadata_modified": "2020-11-10T20:29:35.181151",
+ "name": "2014-primary-and-secondary-roads",
+ "notes": "Primary roads are generally divided, limited-access highways within the interstate highway system or under State management, and are distinguished by the presence of interchanges. These highways are accessible by ramps and may include some toll highways. The MAF/TIGER Feature Classification Code (MTFCC) is S1100 for primary roads. Secondary roads are main arteries, usually in the U.S. Highway, State Highway, and/or County Highway system. These roads have one or more lanes of traffic in each direction, may or may not be divided, and usually have at-grade intersections with many other roads and driveways. They usually have both a local name and a route number. The MAF/TIGER Feature Classification Code (MTFCC) is S1200 for secondary roads. \r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014 Primary and Secondary Roads",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/prisecroads/",
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+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_concity.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_concity.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "id": "3ee84476-d471-43d0-b28c-5afdd70d05c3",
+ "metadata_created": "2020-11-10T15:51:26.623997",
+ "metadata_modified": "2020-11-10T20:31:23.437731",
+ "name": "2014-current-consolidated-city",
+ "notes": "A consolidated city is a unit of local government for which the functions of an incorporated place and its county or minor civil division (MCD) have merged. This action results in both the primary incorporated place and the county or MCD continuing to exist as legal entities, even though the county or MCD performs few or no governmental functions and has few or no elected officials. Where this occurs, and where one or more other incorporated places in the county or MCD continue to function as separate governments, even though they have been included in the consolidated government, the primary incorporated place is referred to as a consolidated city. The Census Bureau classifies the separately incorporated places within the consolidated city as place entities and creates a separate place (balance) record for the portion of the consolidated city not within any other place. \r\n\r\nThe boundaries of the consolidated cities are those as of January 1, 2013, as reported through the Census Bureau's Boundary and Annexation Survey (BAS).\r\n",
+ "organization": {
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "approval_status": "approved",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014 Current Consolidated City",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/concity/",
+ "resources": [],
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+ "relationships_as_object": []
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+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_cousub.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_cousub.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T17:49:32.890583",
+ "metadata_modified": "2020-11-10T22:09:17.749823",
+ "name": "2016-cousub",
+ "notes": "County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2015, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). \r\n\r\n\r\nThe boundaries of all CCDs, delineated in 20 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.\r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2016_cousub",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/cousub/",
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+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_edges.shp.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_edges.shp.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T14:09:53.692407",
+ "metadata_modified": "2020-11-10T19:53:46.751165",
+ "name": "census-tiger-2012all-lines-shapefiles",
+ "notes": "",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Census TIGER 2012 All Lines Shapefiles",
+ "type": "harvest",
+ "url": "http://www2.census.gov/geo/datadotgov/edges/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
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+ "metadata_created": "2020-11-10T18:39:25.192894",
+ "metadata_modified": "2021-10-12T23:13:36.574113",
+ "name": "2019-place",
+ "notes": " An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
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+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019_place",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Collections/2019/place/",
+ "resources": [],
+ "tags": [],
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+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/SeriesCollection/SeriesInfoCensusRegionalOfficeBoundaries.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/SeriesCollection/SeriesInfoCensusRegionalOfficeBoundaries.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "id": "65b28f42-4559-4158-83c8-dd19d67d227c",
+ "metadata_created": "2020-11-10T15:53:54.412939",
+ "metadata_modified": "2020-11-10T20:35:00.996852",
+ "name": "census-bureau-regional-office-boundaries",
+ "notes": "The Census Bureau has six regional offices to facilitate data collection, data dissemination and geographic operations within their boundary. The surveys these office collect information for include the American Community Survey (ACS), the Consumer Expenditure Survey, the Current Population Survey, the National Crime Victimization Survey, the National Health Interview Survey and the Survey of Construction. ",
+ "organization": {
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+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "Census Bureau Regional Office Boundaries",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/CensusRegionalOfficeBoundaries/",
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+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_county_5m.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_county_5m.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T15:32:33.301460",
+ "metadata_modified": "2020-11-10T20:20:31.935680",
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+ "notes": "county_5m",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "county_5m",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/county_5m/",
+ "resources": [],
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+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/ParentFiles/SeriesCollection_tl_2017_facesah.dbf.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/ParentFiles/SeriesCollection_tl_2017_facesah.dbf.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T18:12:17.814291",
+ "metadata_modified": "2020-11-10T22:31:15.531026",
+ "name": "2017-facesah",
+ "notes": "The Topological Faces / Area Hydrography Relationship File (FACESAH.dbf) contains a record for each face / area hydrography feature relationship. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
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+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2017_facesah",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/facesah/",
+ "resources": [],
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+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/SeriesInfoFiles/SeriesCollection_tl_2015_elsd.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/SeriesInfoFiles/SeriesCollection_tl_2015_elsd.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "id": "1e0e3c5f-ef4d-4a4e-bf31-cb98fc818c85",
+ "metadata_created": "2020-11-10T16:59:12.188502",
+ "metadata_modified": "2020-11-10T21:45:59.501814",
+ "name": "2015tigerelsd",
+ "notes": "The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from State officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district.",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
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+ "notes": "The records in this file allow users to map the parts of Urban Areas that overlap a particular county. ",
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+ "notes": "\r\n\r\nNew England City and Town Area (NECTA) Divisions subdivide a NECTA containing a single core urban area that has a population of at least 2.5 million to form smaller groupings of cities and towns. ",
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+ "notes": "The American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas file includes the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs).",
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+ "created": "2020-11-10T15:10:59.803668",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "8dc070a3-41fa-4e78-8680-a0b98d678fb5",
+ "private": false,
+ "source_type": "datajson",
+ "state": "active",
+ "title": "FHFA JSON",
+ "type": "harvest",
+ "url": "https://www.fhfa.gov/data.json",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": [],
+ "extras": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_tabblock.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_tabblock.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "4e0c99c3-6682-4a91-adff-2dd1f5f4fc2d",
+ "metadata_created": "2020-11-10T15:06:53.048576",
+ "metadata_modified": "2020-11-10T20:07:32.484410",
+ "name": "current-block-state-based",
+ "notes": "Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks. As a result, all 2010 Census blocks nest within every other 2010 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropriate geographic areas. Census blocks cover all territory in the United States, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands). Blocks are the smallest geographic areas for which the Census Bureau publishes data from the decennial census. A block may consist of one or more faces.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Current Block State-based",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/tabblock/",
+ "extras": [
+ {
+ "key": "__category_tag_9a350fa9-bc49-43d4-8e77-270b9714976d",
+ "value": "[\"County\",\"State\"]"
+ }
+ ],
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019sldl.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019sldl.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "2f4d726d-1f71-4a44-bb31-187cb43f536e",
+ "metadata_created": "2020-11-10T18:48:18.318452",
+ "metadata_modified": "2020-11-10T22:58:20.389126",
+ "name": "2019cb-sldl",
+ "notes": " SLDL stands for State Legislative District Lower Chamber. State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019cb_sldl",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/sldl/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "WEEKLY",
+ "id": "bc39e510-cff7-4263-8d5b-7c800dd08cd6",
+ "metadata_created": "2020-11-10T18:27:01.914821",
+ "metadata_modified": "2021-08-02T19:51:04.002775",
+ "name": "loudoun-county-virginia-data-source",
+ "notes": "",
+ "organization": {
+ "id": "6e73b22e-6cdd-495f-a092-6c36c559cce3",
+ "name": "loudoun-county-virginia",
+ "title": "Loudoun County, Virginia",
+ "type": "organization",
+ "description": "",
+ "image_url": "https://www.loudoun.gov/images/pages/N232/Loudoun%20County%20Seal%20-%20Web.jpg",
+ "created": "2020-11-10T18:27:00.940149",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "6e73b22e-6cdd-495f-a092-6c36c559cce3",
+ "private": false,
+ "source_type": "datajson",
+ "state": "active",
+ "title": "Loudoun County Virginia Data Source",
+ "type": "harvest",
+ "url": "https://geohub-loudoungis.opendata.arcgis.com/data.json",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_puma10.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_puma10.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "4fef811e-667b-41fe-865e-406bd5311f12",
+ "metadata_created": "2020-11-10T17:51:26.458066",
+ "metadata_modified": "2020-11-10T22:11:41.197601",
+ "name": "2016-puma10",
+ "notes": "After each decennial census, the Census Bureau delineates Public Use Microdata Areas (PUMAs) for the tabulation and dissemination of decennial census Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) PUMS data, and ACS period estimates. Nesting within states, or equivalent entities, PUMAs cover the entirety of the United States, Puerto Rico, Guam, and the U.S. Virgin Islands. PUMA delineations are subject to population, building block geography, geographic nesting, and contiguity criteria. Each PUMA is identified by a 5-character numeric census code that may contain leading zeros and a descriptive name. \r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2016_puma10",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/puma10/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "WEEKLY",
+ "id": "9036f762-5108-4f00-bdd5-523aa22fda7e",
+ "metadata_created": "2020-11-10T15:12:10.069576",
+ "metadata_modified": "2021-08-02T19:39:46.151567",
+ "name": "baltimore-json",
+ "notes": "",
+ "organization": {
+ "id": "542631c1-a387-4ee2-96af-8090ec71c4b4",
+ "name": "city-of-baltimore",
+ "title": "City of Baltimore",
+ "type": "organization",
+ "description": "City of Baltimore",
+ "image_url": "",
+ "created": "2020-11-10T15:12:09.787652",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "542631c1-a387-4ee2-96af-8090ec71c4b4",
+ "private": false,
+ "source_type": "datajson",
+ "state": "active",
+ "title": "Baltimore JSON",
+ "type": "harvest",
+ "url": "https://data.baltimorecity.gov/data.json?version=2",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_facesah.dbf.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_facesah.dbf.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "81c64b05-3e6a-4065-a81d-24852c779123",
+ "metadata_created": "2020-11-10T14:17:10.442307",
+ "metadata_modified": "2020-11-10T20:04:29.183662",
+ "name": "current-topological-faces-area-hydrography-relationship-file",
+ "notes": "The Topological Faces / Area Hydrography Relationship File (FACESAH.dbf) contains a record for each face / area hydrography feature relationship. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The face to which a record in the Topological Faces / Area Hydrography Relationship File (FACESAH.dbf) applies can be determined by linking to the Topological Faces Shapefile (FACES.shp) using the permanent topological face identifier (TFID) attribute. The area hydrography feature to which a record in the Topological Faces / Area Hydrography Relationship File (FACESAH.dbf) applies can be determined by linking to the Area Hydrography Shapefile (AREAWATER.shp) using the area hydrography identifier (HYDROID) attribute. A face may be part of multiple area water features. An area water feature may consist of multiple faces.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Current Topological Faces-Area Hydrography Relationship File",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/facesah/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "2133fa56-e3c3-4ebc-aa3b-1b73b01a3a6b",
+ "metadata_created": "2020-11-10T14:08:46.095502",
+ "metadata_modified": "2020-11-10T19:51:57.430723",
+ "name": "wv-gis-technical-center",
+ "notes": "",
+ "organization": {
+ "id": "e9d6fde3-a97c-46c5-ad7d-51579264b7f1",
+ "name": "wvu-edu",
+ "title": "WV GIS Technical Center",
+ "type": "organization",
+ "description": "",
+ "image_url": "https://wvgis.wvu.edu/images/title.gif",
+ "created": "2020-11-10T14:08:45.943320",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "e9d6fde3-a97c-46c5-ad7d-51579264b7f1",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "WV GIS Technical Center",
+ "type": "harvest",
+ "url": "http://wvgis.wvu.edu/metadata_waf/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ }
+ ],
+ "sort": "views_recent desc",
+ "search_facets": {}
+ }
+}
diff --git a/tests/harvest-sources/dcatus/all_harvest_sources/1.json b/tests/harvest-sources/dcatus/all_harvest_sources/1.json
new file mode 100644
index 00000000..b039ce57
--- /dev/null
+++ b/tests/harvest-sources/dcatus/all_harvest_sources/1.json
@@ -0,0 +1,7037 @@
+{
+ "help": "https://catalog.data.gov/api/3/action/help_show?name=package_search",
+ "success": true,
+ "result": {
+ "count": 916,
+ "facets": {},
+ "results": [
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_primaryroads.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_primaryroads.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "e1a81d14-d176-4d89-966b-bf1ea0b37562",
+ "metadata_created": "2020-11-10T15:00:31.881519",
+ "metadata_modified": "2020-11-10T20:06:11.017741",
+ "name": "primary-roads-national-shapefile",
+ "notes": "Primary roads are generally divided, limited-access highways within the interstate highway system or under State management, and are distinguished by the presence of interchanges. These highways are accessible by ramps and may include some toll highways. The MAF/TIGER Feature Classification Code (MTFCC) is S1100 for primary roads.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Primary Roads National Shapefile",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/primaryroads/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "WEEKLY",
+ "id": "6fc3a887-8f49-408f-9997-8f88cbd2456d",
+ "metadata_created": "2020-11-10T18:27:25.135691",
+ "metadata_modified": "2022-12-08T18:35:17.844764",
+ "name": "https-services3-arcgis-com-x6xo7eazaw454atz-arcgis-rest-services-usboundary-featureserver-0",
+ "notes": "This dataset was created to provide resource managers, public officials, researchers, and the general public with ready access to the location of the international boundary for use to develop binational datasets that depict various land use/land cover datasets including resource utilization, environmental quality, and human health.This provisional international boundary was developed by the International Boundary and Water Commission-United States and Mexico (IBWC), to be used as a common boundary for the clipping and geometric integration of binational geospatial data sets and represents the international boundary as agreed upon by the Governments of the United States and Mexico in accordance with the 1970 Boundary Treaty. It provides an electronic, spatially referenced representation of the international boundary that may be used for the purposes of displaying the boundary and to integrate binational datasets tied into the boundary line.This version of the International Boundary Line corresponds to the line shown on the 2008 International Boundary Maps that were approved in 2009 by Minute 315.",
+ "organization": {
+ "id": "aec664c9-c7c5-42f2-bd5c-f881d608ba8a",
+ "name": "ibwc-gov",
+ "title": "International Boundary & Water Commission",
+ "type": "organization",
+ "description": "Established in 1889, the International Boundary and Water Commission (IBWC) has responsibility for applying the boundary and water treaties between the United States and Mexico and settling differences that may arise in their application. The IBWC is an international body composed of the United States Section and the Mexican Section, each headed by an Engineer-Commissioner appointed by his/her respective president. Each section is administered independently of the other. The United States Section of the International Boundary and Water Commission (USIBWC) is a federal government agency and is headquartered in El Paso, Texas. The IBWC operates under the foreign policy guidance of the Department of State. The Mexican Section is under the administrative supervision of the Mexican Ministry of Foreign Affairs and is headquartered in Ciudad Juarez, Chihuahua, Mexico.\r\n\r\nThe mission of the IBWC is to apply the rights and obligations that the Governments of the United States and Mexico assume under boundary and water treaties, and to do so in way that benefits the social and economic welfare of people on both sides of the boundary and improves relations between the two countries.\r\n\r\nAs provided for in treaties and agreements, those rights and obligations include: distribution between the two countries of the waters of the Rio Grande and the Colorado River; regulation and conservation of the waters of the Rio Grande by joint construction, operation and maintenance of international reservoirs; regulation of the Colorado River waters allocated to Mexico; protection of lands along the river from floods by levee and floodway projects; solution of border sanitation and other border water quality problems; preservation of the Rio Grande and Colorado River as the international boundary; and demarcation of the land boundary.\r\n\r\nIn addition to cooperative projects undertaken to implement existing treaties and international agreements, the U.S. and Mexican Commissioners also make recommendations to their respective Governments for resolution of new or anticipated boundary or water problems. Early detection and evaluation of the problem, and the development of measures for resolution are part of the mission of the IBWC.",
+ "image_url": "https://upload.wikimedia.org/wikipedia/commons/f/f6/International_Boundary_and_Water_Commission_logo.jpg",
+ "created": "2020-11-10T18:27:24.132323",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "aec664c9-c7c5-42f2-bd5c-f881d608ba8a",
+ "private": false,
+ "source_type": "arcgis",
+ "state": "active",
+ "title": "International Boundary Between United States and Mexico Approved in 2009 by Minute 315",
+ "type": "harvest",
+ "url": "https://gisportal.ibwc.gov/agsportal/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_necta.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_necta.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "d60850fe-14c1-4ef1-8f91-1eb60acb6c77",
+ "metadata_created": "2020-11-10T15:00:02.874333",
+ "metadata_modified": "2020-11-10T20:05:25.842604",
+ "name": "current-new-england-city-and-town-area-necta-national-shapefile",
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+ "notes": "In New England (Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont), the Office of Management and Budget (OMB) has defined an alternative county subdivision (generally cities and towns) based definition of Core Based Statistical Areas (CBSAs) known as New England City and Town Areas (NECTAs). NECTAs are defined using the same criteria as Metropolitan Statistical Areas and Micropolitan Statistical Areas and are identified as either metropolitan or micropolitan, based, respectively, on the presence of either an urban area of 50,000 or more population or an urban cluster of at least 10,000 and less than 50,000 population. A NECTA containing a single core urban area with a population of at least 2.5 million may be subdivided to form smaller groupings of cities and towns referred to as NECTA Divisions. The generalized boundaries in this file are based on those defined by OMB based on the 2010 Census, published in 2013, and updated in 2015.",
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+ "metadata_modified": "2020-11-10T21:32:01.189667",
+ "name": "2014-county-20m",
+ "notes": "The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities.",
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+ "name": "2017-aiannh-500",
+ "notes": "\r\n\r\nThe American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas Shapefile includes the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs). Joint use areas are also included in this shapefile refer to areas that are administered jointly and/or claimed by two or more American Indian tribes.",
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+ "name": "tiger2015mil",
+ "notes": "The Census Bureau includes landmarks such as military installations in the MTDB for locating special features and to help enumerators during field operations. ",
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+ "notes": "\r\nMetropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urbanized areas of 50,000 or more population; and Micropolitan Statistical Areas, based on urban clusters of at least 10,000 population but less than 50,000 population.\r\n\r\nThe CBSAs boundaries are those defined by OMB based on the 2010 Census and published in 2013.",
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+ "notes": "\r\n\r\nCombined Statistical Areas (CSAs) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent Core Based Statistical Areas (CBSAs) that have significant employment interchanges. The CBSAs that combine to create a CSA retain separate identities within the larger CSA. Because CSAs represent groupings of CBSAs, they should not be ranked or compared with individual CBSAs.",
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+ "notes": ".\r\n\r\nThe American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas cartographic boundary file includes generalized versions of the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs). Joint use areas are also included in this shapefile refer to areas that are administered jointly and/or claimed by two or more American Indian tribes. The Census Bureau designates both legal and statistical joint use areas as unique geographic entities for the purpose of presenting statistical data. Note that tribal subdivisions and Alaska Native Regional Corporations (ANRCs) are additional types of American Indian/Alaska Native areas stored by the Census Bureau, but are displayed in separate files because of how they fall within the Census Bureau's geographic hierarchy.",
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+ "notes": "States and equivalent entities are the primary governmental divisions of the United States.",
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+ "name": "20156tigerfacesal",
+ "notes": "The Topological Faces / Area Landmark Relationship File (FACESAL.dbf) contains a record for each face / area landmark relationship",
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+ "notes": " NECTA Divisions are defined by the Office of Management and Budget (OMB) and consist of a main city or town that represents an employment center, plus adjacent cities and towns associated with the main city or town through commuting ties.",
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+ "notes": "Primary roads are generally divided, limited-access highways within the interstate highway system or under State management, and are distinguished by the presence of interchanges.",
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+ "metadata_modified": "2020-11-10T21:48:43.162379",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/SeriesInfoFiles/SeriesCollection_tl_2015_areawater.shp.iso.xml\", \"private_datasets\": \"False\"}",
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+ "notes": " The Area Hydrography Shapefile contains the geometry and attributes of both perennial and intermittent area hydrography features, including ponds, lakes, oceans, swamps (up to the U.S. nautical three-mile limit), glaciers, and the area covered by large rivers, streams, and/or canals that are represented as double-line drainage",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "notes": " In Puerto Rico the subMCDs are termed subbarrios and are legally defined subdivisions of the minor civil division (MCD) named barrios-pueblo and barrios. The boundaries of the subbarrios are as of January 1, 2010 and were provided to the Census Bureau by the Puerto Rico Planning Board.",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "notes": "\r\nMetropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. ",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "notes": "This file depicts the shape of the United States clipped back to a generalized coastline. ",
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+ "metadata_modified": "2020-11-10T21:46:26.371860",
+ "name": "2015tigerfacesmil",
+ "notes": "The Topological Faces / Military Installation Relationship File (FACESMIL.dbf) contains a record for each face / military installation relationship.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_cousub.shp.iso.xml\", \"private_datasets\": \"False\"}",
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+ "metadata_modified": "2020-11-10T20:31:41.436363",
+ "name": "2014-current-county-subdivision",
+ "notes": "County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2013, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). \r\n\r\nThe boundaries of all CCDs, delineated in 21 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.\r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "title": "2014 Current County Subdivision",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/ISOParent/SeriesCollection_cb_2014_concity_500k.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T16:46:24.606287",
+ "metadata_modified": "2020-11-10T21:31:52.134079",
+ "name": "2014-concity-500k",
+ "notes": "A consolidated city is a unit of local government for which the functions of an incorporated place and its county or minor civil division (MCD) have merged. This action results in both the primary incorporated place and the county or MCD continuing to exist as legal entities, even though the county or MCD performs few or no governmental functions and has few or no elected officials. Where this occurs, and where one or more other incorporated places in the county or MCD continue to function as separate governments, even though they have been included in the consolidated government, the primary incorporated place is referred to as a consolidated city. The Census Bureau classifies the separately incorporated places within the consolidated city as place entities and creates a separate place (balance) record for the portion of the consolidated city not within any other place.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "is_organization": true,
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+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014_concity_500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/concity_500k/",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_tract.shp.iso.xml\", \"private_datasets\": \"False\"}",
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+ "metadata_created": "2020-11-10T17:52:17.185937",
+ "metadata_modified": "2020-11-10T22:12:46.561250",
+ "name": "2016-tract",
+ "notes": "The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area. \r\n",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "is_organization": true,
+ "approval_status": "approved",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2016_tract",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/tract/",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_nation_20m.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T15:34:15.820836",
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+ "notes": "United States, 1:20,000,000",
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+ "name": "census-gov",
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+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014Nation20m",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/nation_20m/",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_tbg.shp.iso.xml\", \"private_datasets\": \"False\"}",
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+ "metadata_modified": "2020-11-10T20:07:41.449510",
+ "name": "current-tribal-block-group-national",
+ "notes": "A tribal block group is a cluster of census tabulation blocks within a single tribal census tract delineated by American Indian tribal participants or the Census Bureau for the purpose of presenting demographic data on their reservation and/or off-reservation trust land. The tribal block groups are defined independently of the standard county-based block group delineation. For federally recognized American Indian Tribes with reservations and/or off-reservation trust lands with a population less than 1,200, a single tribal block group is defined. Qualifying reservations and/or off-reservation trust lands with a population greater than 1,200 could define additional tribal block groups within their area without regard to the standard block group configuration. Tribal block groups do not necessarily contain tabulation blocks always beginning with the same number and could contain seemingly duplicate block numbers. Tabulation block numbers are still assigned by using standard block groups, not the tribal block groups. To better identify tribal block groups, the letter code range A through K (except I, which could be confused with a number 1) is used uniquely within each tribal census tract. The boundaries of tribal block groups and tribal census tracts are those delineated through the Tribal Statistical Areas Program (TSAP) for the 2010 Census.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Current Tribal Block Group National",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/tbg/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "a221e421-9548-4dfd-b3cb-1c5a91c0a84b",
+ "metadata_created": "2020-11-10T18:33:15.638939",
+ "metadata_modified": "2020-11-10T22:42:16.460003",
+ "name": "2018-facesmil",
+ "notes": "The Topological Faces / Military Installation Relationship File (FACESMIL.dbf) contains a record for each face / military installation relationship. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2018_facesmil",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/facesmil/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "4be9cd9e-0956-494c-a361-d8f43953232b",
+ "metadata_created": "2020-11-10T18:10:05.532842",
+ "metadata_modified": "2020-11-10T22:28:31.965624",
+ "name": "2017-aiannh",
+ "notes": "The American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas Shapefile includes the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs). Joint use areas are also included in this shapefile refer to areas that are administered jointly and/or claimed by two or more American Indian tribes.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_aiannh",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/aiannh/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Tiger2019/SeriesInfo/SeriesCollection_tl_2019_facesal.dbf.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Tiger2019/SeriesInfo/SeriesCollection_tl_2019_facesal.dbf.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "f57cf23d-30ea-4ab2-b033-a9a533e9b115",
+ "metadata_created": "2020-11-10T18:38:24.960191",
+ "metadata_modified": "2020-11-10T22:47:53.550075",
+ "name": "2019-facesal",
+ "notes": "The Topological Faces / Area Landmark Relationship File (FACESAL.dbf) contains a record for each face / area landmark relationship. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The face to which a record in the Topological Faces / Area Landmark Relationship File (FACESAL.dbf) applies can be determined by linking to the Topological Faces Shapefile (FACES.shp) on the permanent topological face identifier (TFID) attribute. The area landmark to which a record in the Topological Faces / Area Landmark Relationship File (FACESAL.dbf) applies can be determined by linking to the Area Landmark Shapefile (AREALM.shp) on the area landmark identifier (AREAID) attribute. A face may be part of multiple area landmarks. An area landmark may consist of multiple faces. \r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019_facesal",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Tiger2019/facesal/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "59942535-4716-4b4c-a2d2-cbe2559600b3",
+ "metadata_created": "2020-11-10T18:36:29.294250",
+ "metadata_modified": "2021-10-12T21:55:36.261737",
+ "name": "2019-bg",
+ "notes": "Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census. For example, tabulation blocks numbered 5001, 5002, 5005,.., 5999 within census tract 1210.02 are also within BG 5 within that census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. Block groups generally contain between 600 and 5,000 people. A BG usually covers a contiguous area but never crosses county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. \r\n\r\n\r\nThe BG boundaries in this release are those that were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census. \r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019_bg",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Collections/2019/bg/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "26e21729-dba6-4a12-bf5e-788f00054627",
+ "metadata_created": "2020-11-10T16:50:43.426181",
+ "metadata_modified": "2020-11-10T21:34:35.305238",
+ "name": "2014-csa-500k",
+ "notes": "Combined Statistical Areas (CSAs) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent Core Based Statistical Areas (CBSAs) that have significant employment interchanges. The CBSAs that combine to create a CSA retain separate identities within the larger CSA. Because CSAs represent groupings of CBSAs, they should not be ranked or compared with individual CBSAs.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2014_csa_500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/csa_500k/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "929a09d8-119c-405b-a400-654aa33abdea",
+ "metadata_created": "2020-11-10T16:46:43.953889",
+ "metadata_modified": "2020-11-10T21:32:19.224144",
+ "name": "2014-county-5m",
+ "notes": "The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2014_county_5m",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/county_5m/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/ParentFiles/SeriesCollection_cb_2016_concity_500k.kml.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/ParentFiles/SeriesCollection_cb_2016_concity_500k.kml.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "9e70669d-8f62-4d51-882c-917f0b4d7ebc",
+ "metadata_created": "2020-11-10T18:01:46.495610",
+ "metadata_modified": "2020-11-10T22:18:27.509665",
+ "name": "2017-concity-500kml",
+ "notes": "A consolidated city is a unit of local government for which the functions of an incorporated place and its county or minor civil division (MCD) have merged. This action results in both the primary incorporated place and the county or MCD continuing to exist as legal entities, even though the county or MCD performs few or no governmental functions and has few or no elected officials.",
+ "organization": {
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+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2017_concity_500kml",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/concity_500kml/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/SeriesInfoFiles/SeriesCollection_tl_2015_unsd.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/SeriesInfoFiles/SeriesCollection_tl_2015_unsd.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "f23fb7c8-bd01-4c08-bb43-395f223aa482",
+ "metadata_created": "2020-11-10T17:30:19.714103",
+ "metadata_modified": "2020-11-10T21:50:21.726493",
+ "name": "2015tigerunsd",
+ "notes": "School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2015TigerUnsd",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/unsd/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_anrc_500k.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_anrc_500k.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T15:30:22.188116",
+ "metadata_modified": "2020-11-10T20:18:32.741357",
+ "name": "2014anrc",
+ "notes": " State-Alaska Native Regional Corporation , 1:500,000",
+ "organization": {
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+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014ANRC",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/anrc_500k//",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_csa_20m.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_csa_20m.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "de40db23-d848-4f24-aa6e-68c9fbbef52e",
+ "metadata_created": "2020-11-10T15:33:39.733719",
+ "metadata_modified": "2020-11-10T20:22:07.573205",
+ "name": "2014csa20",
+ "notes": " Combined Statistical Area for United States, 1:20,000,000",
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+ "notes": " Congressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives",
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+ "notes": "The Rails Shapefile includes all features within the MTDB Super Class \"Rail Features\" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in the MTDB that begins with \"R\". This includes main lines such as spur lines, rail yards, mass transit rail lines such as carlines, streetcar track, and monorail or other mass transit rail and special purpose rail lines such as cog rail lines, incline rail lines and trams.",
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+ "notes": "New England City and Town Area (NECTA) Divisions subdivide a NECTA containing a single core urban area that has a population of at least 2.5 million to form smaller groupings of cities and towns. NECTA Divisions are defined by the Office of Management and Budget (OMB) and consist of a main city or town that represents an employment center, plus adjacent cities and towns associated with the main city or town through commuting ties. Each NECTA Division must contain a total population of 100,000 or more. Because NECTA Divisions represent subdivisions of larger NECTAs, it is not appropriate to rank or compare NECTA Divisions with NECTAs. Not all NECTAs with urban areas of this size will contain NECTA Divisions. \r\n\r\n\r\nThe NECTA Divisions boundaries are those defined by OMB based on the 2010 Census and published in 2013.\r\n",
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+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "CensusGeodatabase",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/GeodatabaseMetadata/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_otherid.dbf.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "c63d1706-4ae2-4d2a-8ed2-4157975c28ef",
+ "metadata_created": "2020-11-10T15:00:14.567007",
+ "metadata_modified": "2020-11-10T20:05:43.918187",
+ "name": "current-other-identifiers-relationship-file",
+ "notes": " The Other Identifiers Relationship File contains external identifier codes, such as National Hydrographic Dataset (NHD) codes and individual county identifiers. The edge to which an Other Identifiers Relationship File record applies can be determined by linking to the All Lines shapefile on the permanent edge identifier (TLID) attribute. Not every TLID has an external identifier associated with it and some TLIDs may have more than one.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
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+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Current Other Identifiers Relationship File",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/otherid/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/SeriesInfoFiles/SeriesCollection_tl_2015_addrfn.dbf.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/SeriesInfoFiles/SeriesCollection_tl_2015_addrfn.dbf.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "ebf862d6-aaac-4179-a538-3bb3580808d9",
+ "metadata_created": "2020-11-10T16:57:44.755699",
+ "metadata_modified": "2020-11-10T21:44:02.815668",
+ "name": "2015tigeraddrfn",
+ "notes": "The Address Range / Feature Name Relationship File (ADDRFN.dbf) contains a record for each address range / linear feature name relationship.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2015Tigeraddrfn",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/addrfn/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "config": "{\"private_datasets\": \"True\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "050bd8fd-54fc-439d-b032-361c989241b4",
+ "metadata_created": "2020-11-10T15:08:08.966306",
+ "metadata_modified": "2020-11-10T20:09:29.405743",
+ "name": "sample-of-two-data-json-entries",
+ "notes": "",
+ "organization": {
+ "id": "77ade652-dece-4e18-b71b-b5e9be8c86c2",
+ "name": "fgdc-gov",
+ "title": "Federal Geographic Data Committee",
+ "type": "organization",
+ "description": "",
+ "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/ab/US-FederalGeographicDataCommittee-Logo.svg/220px-US-FederalGeographicDataCommittee-Logo.svg.png",
+ "created": "2020-11-10T14:08:12.295433",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "77ade652-dece-4e18-b71b-b5e9be8c86c2",
+ "private": false,
+ "private_datasets": "True",
+ "source_type": "datajson",
+ "state": "active",
+ "title": "Sample of two data.json entries",
+ "type": "harvest",
+ "url": "http://mapcontext.com/npswaf/sample2.json",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/SeriesInfoFiles/SeriesCollection_tl_2015_featnames.dbf.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/SeriesInfoFiles/SeriesCollection_tl_2015_featnames.dbf.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2021-01-11T20:39:50.679725",
+ "metadata_modified": "2021-01-11T20:39:50.679733",
+ "name": "2015tigerfeatnames",
+ "notes": "The Feature Names Relationship File (FEATNAMES.dbf) contains a record for each feature name and any attributes associated with it.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
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+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2015TigerFeatnames",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/featnames/",
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+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
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+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "id": "45c90bb8-5a72-4f55-b83d-c907af398fa2",
+ "metadata_created": "2020-11-10T16:56:16.551851",
+ "metadata_modified": "2020-11-10T21:42:05.906331",
+ "name": "2014-kml-region-500k",
+ "notes": "Regions are four groupings of States (Northeast, South, Midwest, and West) established by the Census Bureau in 1942 for the presentation of census data.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2014_kml_region_500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/region_500k/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/SeriesInfoFiles/SeriesCollection_tl_2015_bg.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "id": "f18704a0-6f77-47f2-9159-9ee3fc473318",
+ "metadata_created": "2020-11-10T16:58:11.580607",
+ "metadata_modified": "2020-11-10T21:44:38.580159",
+ "name": "2015tigerbg",
+ "notes": "Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2015TigerBg",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/bg/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://localhost",
+ "config": "{\"collection_metadata_url\": \"http://localhost\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "b96813dd-3d74-46fc-82b0-d68dba333de4",
+ "metadata_created": "2020-11-10T17:29:11.950814",
+ "metadata_modified": "2020-11-10T21:48:51.432196",
+ "name": "2015tigerscsd",
+ "notes": "School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2015Tigerscsd",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/scsd/",
+ "resources": [],
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+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_county_20m.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_county_20m.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "id": "1ed7d4e8-8031-424f-a936-59a43e33b06b",
+ "metadata_created": "2020-11-10T15:32:21.188111",
+ "metadata_modified": "2020-11-10T20:20:13.863139",
+ "name": "county-20m",
+ "notes": "county_20m",
+ "organization": {
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+ "name": "census-gov",
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+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "county_20m",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/county_20m/",
+ "resources": [],
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+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019CBSAKML.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019CBSAKML.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T18:44:03.365453",
+ "metadata_modified": "2020-11-10T22:53:33.613947",
+ "name": "2019cb-cbsakml",
+ "notes": " Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. ",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019cb_cbsakml",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/cbsa_kml/",
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+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/ISOParent/KML/SeriesCollection_kml_2014_bg_500k.kml.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/ISOParent/KML/SeriesCollection_kml_2014_bg_500k.kml.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T16:53:21.078192",
+ "metadata_modified": "2020-11-10T21:38:11.211152",
+ "name": "2014-kml-bg-500k-kmlseriesinfo",
+ "notes": "Block Groups (BGs) are clusters of blocks within the same census tract.",
+ "organization": {
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+ "name": "census-gov",
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+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
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+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014_kml_bg_500k_kmlSeriesInfo",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/bg_500k_try3/",
+ "resources": [],
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+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_state_500k.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_state_500k.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "id": "d1c9f733-36db-4dee-951a-a3a49ed3af86",
+ "metadata_created": "2020-11-10T15:35:36.956836",
+ "metadata_modified": "2020-11-10T20:24:58.784430",
+ "name": "2014state-500k",
+ "notes": "State for United States, 1:500,000",
+ "organization": {
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+ "notes": ". School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district.",
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+ "notes": "An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population",
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+ "metadata_modified": "2020-11-10T21:47:40.786003",
+ "name": "2015tigeranrc",
+ "notes": "Alaska Native Regional Corporations (ANRCs) were created pursuant to the Alaska Native Claims Settlement Act (ANCSA), which is federal legislation\r\n (Pub. L. 92-203, 85 Stat. 688 (1971); 43 U.S.C. 1602 et seq. (2000)) enacted in 1971, as a 'Regional Corporation' and organized ",
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+ "notes": "For the 2010 Census, subMCDs only exist in Puerto Rico. In Puerto Rico the subMCDs are termed subbarrios and are legally defined subdivisions of the minor civil division (MCD) named barrios-pueblo and barrios. The boundaries of the subbarrios are as of January 1, 2010 and were provided to the Census Bureau by the Puerto Rico Planning Board.",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "private_datasets": "False",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_cd112.shp.xml\", \"private_datasets\": \"False\"}",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "metadata_modified": "2020-11-10T21:42:14.827968",
+ "name": "2014-kml-region-5m",
+ "notes": "Regions are four groupings of States (Northeast, South, Midwest, and West) established by the Census Bureau in 1942 for the presentation of census data.",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2012_countyec.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T15:37:41.742121",
+ "metadata_modified": "2020-11-10T20:27:55.509641",
+ "name": "economic-census-county-and-equivalent",
+ "notes": "The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. \r\n\r\nThe Economic Census county shapefile is similar to the current shapefile except that the boundaries are as of January 1, 2012, in order to match the vintage of the 2012 Economic Census. The one exception is Guam, where the county subdivisions substitute as county equivalent entities for the Economic Census.",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Economic Census County and Equivalent",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/countyec//",
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+ "metadata_modified": "2023-10-03T19:13:42.501063",
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+ "notes": "OGC Non-Geo Records",
+ "organization": {
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+ "name": "epa-gov",
+ "title": "U.S. Environmental Protection Agency",
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+ "description": "Our mission is to protect human health and the environment. ",
+ "image_url": "https://edg.epa.gov/EPALogo.svg",
+ "created": "2020-11-10T15:10:42.298896",
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+ "url": "https://edg.epa.gov/data/PUBLIC/OGC/metadata/OGC.json",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "name": "environmental-dataset-gateway-non-spatial-records",
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+ "metadata_created": "2020-11-10T17:40:44.593998",
+ "metadata_modified": "2020-11-10T22:02:31.840492",
+ "name": "kml-division-20",
+ "notes": "Divisions are groupings of states within a census geographic region, established by the Census Bureau for the presentation of census data. The current nine divisions (East North Central, East South Central, Middle Atlantic, Mountain, New England, Pacific, South Atlantic, West North Central, and West South Central) are intended to represent relatively homogeneous areas that are subdivisions of the four census geographic regions.\r\n ",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "metadata_created": "2020-11-10T17:48:57.543234",
+ "metadata_modified": "2020-11-10T22:08:32.714165",
+ "name": "2016-tbg",
+ "notes": "A tribal block group is a cluster of census tabulation blocks within a single tribal census tract delineated by American Indian tribal participants or the Census Bureau for the purpose of presenting demographic data on their reservation and/or off-reservation trust land. The tribal block groups are defined independently of the standard county-based block group delineation. For federally recognized American Indian Tribes with reservations and/or off-reservation trust lands with a population less than 1,200, a single tribal block group is defined. Qualifying reservations and/or off-reservation trust lands with a population greater than 1,200 could define additional tribal block groups within their area without regard to the standard block group configuration. Tribal block groups do not necessarily contain tabulation blocks always beginning with the same number and could contain seemingly duplicate block numbers. Tabulation block numbers are still assigned by using standard block groups, not the tribal block groups. To better identify tribal block groups, the letter code range A through K (except I, which could be confused with a number 1) is used uniquely within each tribal census tract. \r\n\r\n\r\nThe boundaries of tribal block groups and tribal census tracts are those delineated through the Tribal Statistical Areas Program (TSAP) for the 2010 Census. \r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2016_tbg",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/tbg/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ "metadata_created": "2023-09-08T16:14:48.774500",
+ "metadata_modified": "2023-09-08T16:14:48.774509",
+ "name": "oa-non-geo-harvest",
+ "notes": "OA Non Geo Harvest",
+ "organization": {
+ "id": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "name": "epa-gov",
+ "title": "U.S. Environmental Protection Agency",
+ "type": "organization",
+ "description": "Our mission is to protect human health and the environment. ",
+ "image_url": "https://edg.epa.gov/EPALogo.svg",
+ "created": "2020-11-10T15:10:42.298896",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "private": false,
+ "source_type": "datajson",
+ "state": "active",
+ "title": "OA Non Geo Harvest",
+ "type": "harvest",
+ "url": "https://edg.epa.gov/data/Public/OA/metadata/OA.json",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_state.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_state.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "9d4a7981-8f1d-4308-b917-1b5feff6e2a6",
+ "metadata_created": "2020-11-10T15:52:58.668808",
+ "metadata_modified": "2020-11-10T20:33:39.211071",
+ "name": "2014-current-state-and-equivalent",
+ "notes": "tates and equivalent entities are the primary governmental divisions of the United States. In addition to the fifty States, the Census Bureau treats the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) as the statistical equivalents of States for the purpose of data presentation.\r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014 Current State and Equivalent",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/state/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_cbsa_5m.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_cbsa_5m.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "9136b0e3-c326-439a-a1a3-91117f18d23f",
+ "metadata_created": "2020-11-10T15:30:45.988457",
+ "metadata_modified": "2020-11-10T20:19:09.001845",
+ "name": "cbsa5m",
+ "notes": "Metropolitan Statistical Area/Micropolitan Statistical Area for United States, 1:5,000,000",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "cbsa5m",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/cbsa_5m/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_place.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_place.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "4ebce948-8b31-4b4b-956b-313fe3b7f3fd",
+ "metadata_created": "2020-11-10T15:52:15.627279",
+ "metadata_modified": "2020-11-10T20:32:35.832369",
+ "name": "2014-current-place",
+ "notes": "The TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. \r\n\r\n \r\nThe boundaries of most incorporated places in this shapefile are as of January 1, 2013, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). Limited updates that occurred after January 1, 2013, such as newly incorporated places, are also included. The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014 Current Place",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/place/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_addr.dbf.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_addr.dbf.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "57dfeefd-ea43-46da-92df-c9aa08c04998",
+ "metadata_created": "2020-11-10T14:14:16.189878",
+ "metadata_modified": "2020-11-10T20:00:31.734281",
+ "name": "current-address-ranges-relationship-file",
+ "notes": "The Address Ranges Relationship File (ADDR.dbf) contains the attributes of each address range. Each address range applies to a single edge and has a unique address range identifier (ARID) value. The edge to which an address range applies can be determined by linking the address range to the All Lines Shapefile (EDGES.shp) using the permanent topological edge identifier (TLID) attribute. Multiple address ranges can apply to the same edge since an edge can have multiple address ranges. Note that the most inclusive address range associated with each side of a street edge already appears in the All Lines Shapefile (EDGES.shp). The TIGER/Line Shapefiles contain potential address ranges, not individual addresses. The term \"address range\" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. The address ranges in the TIGER/Line Shapefiles are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Current Address Ranges Relationship File",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/addr/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_arealm.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_arealm.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "bf68ceda-45ac-4651-83d3-c4edbc1297ab",
+ "metadata_created": "2020-11-10T15:50:56.108720",
+ "metadata_modified": "2020-11-10T20:30:38.336487",
+ "name": "2014-area-landmark",
+ "notes": "The Census Bureau includes landmarks in the MTDB for locating special features and to help enumerators during field operations. Some of the more common landmark types include area landmarks such as airports, cemeteries, parks, schools, and churches and other religious institutions. The Census Bureau added landmark features to MTDB on an as-needed basis and made no attempt to ensure that all instances of a particular feature were included. The presence or absence of a landmark such as a hospital or prison does not mean that the living quarters associated with that landmark were geocoded to that census tabulation block or excluded from the census enumeration. The Area Landmark Shapefile does not include military installations or water bodies because they each appear in their own separate shapefiles, MIL.shp and AREAWATER.shp respectively. \r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014 Area Landmark",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/arealm/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_submcd.shp.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_submcd.shp.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "6264565c-16b6-4205-8d44-7087598959a2",
+ "metadata_created": "2020-11-10T14:11:53.187155",
+ "metadata_modified": "2020-11-10T19:56:57.707304",
+ "name": "census-tiger-2012-subminor-civil-division",
+ "notes": "",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Census TIGER 2012 SubMinor Civil Division",
+ "type": "harvest",
+ "url": "http://www2.census.gov/geo/datadotgov/submcd/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
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+ "frequency": "MANUAL",
+ "id": "4ae34128-fb06-4704-99a2-5ccb6abc2e87",
+ "metadata_created": "2020-11-10T16:53:34.495686",
+ "metadata_modified": "2020-11-10T21:38:29.320446",
+ "name": "2014-kml-cbsa-500k",
+ "notes": "Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2014_kml_cbsa_500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/cbsa_500k/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_featnames.dbf.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_featnames.dbf.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "a1cd0272-f7ba-46c6-a746-fa7dba2a20e5",
+ "metadata_created": "2020-11-10T14:10:22.138564",
+ "metadata_modified": "2020-11-10T19:54:32.273450",
+ "name": "census-tiger-2012-feature-names",
+ "notes": "",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Census TIGER 2012 Feature Names",
+ "type": "harvest",
+ "url": "http://www2.census.gov/geo/datadotgov/featnames",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_concity_500k.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_concity_500k.xml\", \"private_datasets\": \"False\"}",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_edges.shp.iso.xml\", \"private_datasets\": \"False\"}",
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+ "name": "current-all-lines-shapefile",
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+ "organization": {
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+ "notes": "The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities.",
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+ "notes": "The Cartographic boundary shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population.",
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+ "notes": "The American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas cartographic boundary file includes generalized versions of the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs). Joint use areas are also included in this shapefile refer to areas that are administered jointly and/or claimed by two or more American Indian tribes. The Census Bureau designates both legal and statistical joint use areas as unique geographic entities for the purpose of presenting statistical data. Note that tribal subdivisions and Alaska Native Regional Corporations (ANRCs) are additional types of American Indian/Alaska Native areas stored by the Census Bureau, but are displayed in separate files because of how they fall within the Census Bureau's geographic hierarchy.",
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+ "name": "2014-division-500k",
+ "notes": "Divisions are groupings of States within a census geographic region, established by the Census Bureau for the presentation of census data. The current nine divisions (East North Central, East South Central, Middle Atlantic, Mountain, New England, Pacific, South Atlantic, West North Central, and West South Central) are intended to represent relatively homogeneous areas that are subdivisions of the four census geographic regions.",
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+ "name": "2014-primary-roads",
+ "notes": "Primary roads are generally divided, limited-access highways within the interstate highway system or under State management, and are distinguished by the presence of interchanges. These highways are accessible by ramps and may include some toll highways. The MAF/TIGER Feature Classification Code (MTFCC) is S1100 for primary roads. \r\n",
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+ "metadata_created": "2020-11-10T15:30:28.122082",
+ "metadata_modified": "2020-11-10T20:18:41.861983",
+ "name": "2014bg500",
+ "notes": "2013 Cartographic Boundary File, State-County-Census Tract 1:500,000",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014bg500",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/bg_500k/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_nation_500k.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_nation_500k.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "459e7a90-980d-41ef-8adf-62731ad71486",
+ "metadata_created": "2020-11-10T15:34:21.849475",
+ "metadata_modified": "2020-11-10T20:23:10.749439",
+ "name": "2014nation500k",
+ "notes": "United States, 1:500,000",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014Nation500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/nation_500k/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_unsd.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_unsd.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "8a9db1e4-d156-4f77-8acc-102fd47a8de0",
+ "metadata_created": "2020-11-10T15:07:16.426777",
+ "metadata_modified": "2020-11-10T20:08:08.584435",
+ "name": "current-unified-school-districts-shapefile",
+ "notes": "School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from State officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to States and school districts. TIGER/Line Shapefiles include separate shapefiles for elementary, secondary and unified school districts. The school district boundaries are those in effect for the 2011-2012 school year.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Current Unified School Districts Shapefile",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/unsd/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_puma10.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_puma10.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "0b89453c-da36-4167-b848-31b20f1935cf",
+ "metadata_created": "2020-11-10T15:52:21.734970",
+ "metadata_modified": "2020-11-10T20:32:44.877083",
+ "name": "2014-census-public-use-microdata-area",
+ "notes": "After each decennial census, the Census Bureau delineates Public Use Microdata Areas (PUMAs) for the tabulation and dissemination of decennial census Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) PUMS data, and ACS period estimates. Nesting within states, or equivalent entities, PUMAs cover the entirety of the United States, Puerto Rico, Guam, and the U.S. Virgin Islands. PUMA delineations are subject to population, building block geography, geographic nesting, and contiguity criteria. Each PUMA is identified by a 5-character numeric census code that may contain leading zeros and a descriptive name. \r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014 Census Public Use Microdata Area",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/puma10/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_vtd10.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_vtd10.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "4950579b-988c-48f8-a45c-6bb342555784",
+ "metadata_created": "2020-11-10T14:12:21.631799",
+ "metadata_modified": "2020-11-10T19:57:43.004755",
+ "name": "census-tiger-2012-voting-district",
+ "notes": "Census TIGER 2012 Voting District",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Census TIGER 2012 Voting District",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/vtd10/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_elsd.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_elsd.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "8b9121ac-a1e0-4e6e-ada7-d1a4bd8352e4",
+ "metadata_created": "2020-11-10T14:16:53.166741",
+ "metadata_modified": "2020-11-10T20:04:01.890976",
+ "name": "current-elementary-school-districts-shapefile",
+ "notes": "School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from State officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to States and school districts. TIGER/Line Shapefiles include separate shapefiles for elementary, secondary and unified school districts. The school district boundaries are those in effect for the 2011-2012 school year.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Current Elementary School Districts Shapefile",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/elsd/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_bg.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_bg.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "aa25f669-e4fb-4f02-bd60-a475eff39fd4",
+ "metadata_created": "2020-11-10T14:16:01.309242",
+ "metadata_modified": "2020-11-10T20:02:40.202849",
+ "name": "current-block-group-state-based",
+ "notes": "Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. The BG boundaries in this release are those that were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Current Block Group State-based",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/bg/",
+ "extras": [
+ {
+ "key": "__category_tag_9a350fa9-bc49-43d4-8e77-270b9714976d",
+ "value": "[\"State\",\"Pacific Islands\",\"Hawaii\",\"Guam\",\"Northern Mariana Islands\",\"American Samoa\"]"
+ }
+ ],
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "creator_user_id": "7e8fa9c4-e5a2-4dcd-b27b-7bbbb73b0248",
+ "frequency": "MANUAL",
+ "id": "c5dab8f1-9779-4275-a5fd-9b2cf47696fc",
+ "metadata_created": "2023-05-31T23:08:57.223456",
+ "metadata_modified": "2023-05-31T23:08:57.223462",
+ "name": "cartographic-boundary-files-2022",
+ "notes": "The 2022 Cartographic Boundary File metadata on the metadata external server.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "source_type": "waf",
+ "state": "active",
+ "title": "Cartographic Boundary Files - 2022",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2022/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": [],
+ "extras": []
+ }
+ ],
+ "sort": "views_recent desc",
+ "search_facets": {}
+ }
+}
diff --git a/tests/harvest-sources/dcatus/all_harvest_sources/2.json b/tests/harvest-sources/dcatus/all_harvest_sources/2.json
new file mode 100644
index 00000000..80261d66
--- /dev/null
+++ b/tests/harvest-sources/dcatus/all_harvest_sources/2.json
@@ -0,0 +1,7049 @@
+{
+ "help": "https://catalog.data.gov/api/3/action/help_show?name=package_search",
+ "success": true,
+ "result": {
+ "count": 916,
+ "facets": {},
+ "results": [
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "8a129e37-5d23-4198-befe-8feda21e788b",
+ "metadata_created": "2020-11-10T15:36:13.485432",
+ "metadata_modified": "2020-11-13T02:53:54.633006",
+ "name": "noaa-patents-json",
+ "notes": "",
+ "organization": {
+ "id": "5f4f1195-e770-4a2a-8f75-195cd98860ce",
+ "name": "noaa-gov",
+ "title": "National Oceanic and Atmospheric Administration, Department of Commerce",
+ "type": "organization",
+ "description": "",
+ "image_url": "https://fortress.wa.gov/dfw/score/score/images/noaa_logo.png",
+ "created": "2020-11-10T15:36:13.098184",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "5f4f1195-e770-4a2a-8f75-195cd98860ce",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "datajson",
+ "state": "active",
+ "title": "NOAA Patents Json",
+ "type": "harvest",
+ "url": "https://data.noaa.gov/data-nonspatial-harvest.json",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "b8b9adb7-42b2-4527-9826-6cc18589c574",
+ "metadata_created": "2020-11-10T15:50:31.601964",
+ "metadata_modified": "2020-11-10T20:30:02.095872",
+ "name": "park-facilities",
+ "notes": "",
+ "organization": {
+ "id": "aa84d2f5-8a8a-4ae6-a7a6-c9a47ab8dcd5",
+ "name": "coa-gatech-edu",
+ "title": "Georgia Tech Center for GIS College of Architecture",
+ "type": "organization",
+ "description": "Georgia Tech Center for GIS College of Architecture",
+ "image_url": "",
+ "created": "2020-11-10T15:50:25.243863",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "aa84d2f5-8a8a-4ae6-a7a6-c9a47ab8dcd5",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "single-doc",
+ "state": "active",
+ "title": "Park facilities",
+ "type": "harvest",
+ "url": "http://carto.gis.gatech.edu/Metadata/ParkFacilities.xml",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_pointlm.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_pointlm.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "a0eb1371-48e4-4417-800c-fe26eb6adaf2",
+ "metadata_created": "2020-11-10T15:00:26.109583",
+ "metadata_modified": "2020-11-10T20:06:01.973221",
+ "name": "current-point-landmarks-shapefile",
+ "notes": "The Census Bureau includes landmarks in the MTDB for locating special features and to help enumerators during field operations. Some of the more common landmark types include area landmarks such as airports, cemeteries, parks, mountain peaks/summits, schools, and churches and other religious institutions. The Census Bureau has added landmark features to MTDB on an as-needed basis and made no attempt to ensure that all instances of a particular feature were included. The presence or absence of a landmark such as a hospital or prison does not mean that the living quarters associated with that landmark were geocoded to that census tabulation block or excluded from the census enumeration",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
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+ "name": "2017-aiannh-500kml",
+ "notes": "\r\n\r\nThe American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas Shapefile includes the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs). Joint use areas are also included in this shapefile refer to areas that are administered jointly and/or claimed by two or more American Indian tribes. The Census Bureau designates both legal and statistical joint use areas as unique geographic entities for the purpose of presenting statistical data.",
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+ "notes": "Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2010 Census and the annual estimates and surveys.The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile. ",
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+ "name": "2015-cbsa-5m",
+ "notes": "Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urbanized areas of 50,000 or more population; and Micropolitan Statistical Areas, based on urban clusters of at least 10,000 population but less than 50,000 population.\r\n\r\nThe CBSAs boundaries are those defined by OMB based on the 2010 Census and published in 2013.",
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+ "source_type": "waf",
+ "state": "active",
+ "title": "2015_cbsa_5m",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/cbsa_5m/",
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+ "metadata_created": "2020-11-10T16:51:55.554025",
+ "metadata_modified": "2020-11-10T21:36:14.020583",
+ "name": "2014-region-500k",
+ "notes": "Regions are four groupings of States (Northeast, South, Midwest, and West) established by the Census Bureau in 1942 for the presentation of census data.",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
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+ "source_type": "waf",
+ "state": "active",
+ "title": "2014_region_500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/region_500k/",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_sldl_500k.xml\", \"private_datasets\": \"False\"}",
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+ "metadata_created": "2020-11-10T15:35:12.607017",
+ "metadata_modified": "2020-11-10T20:24:22.624963",
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+ "notes": "State-State Legislative District (Lower Chamber) 1:500,000",
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+ "name": "census-gov",
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+ "title": "2014sldl500k",
+ "type": "harvest",
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+ "metadata_created": "2020-11-10T14:15:44.139861",
+ "metadata_modified": "2020-11-10T20:02:13.033216",
+ "name": "current-alaska-native-regional-corporation-anrc",
+ "notes": "Alaska Native Regional Corporations (ANRCs) were created pursuant to the Alaska Native Claims Settlement Act (ANCSA), which is federal legislation (Pub. L. 92-203, 85 Stat. 688 (1971); 43 U.S.C. 1602 et seq. (2000)) enacted in 1971, as a \"Regional Corporation\" and organized under the laws of the State of Alaska to conduct both the for-profit and non-profit affairs of Alaska Natives within a defined region of Alaska. For the Census Bureau, ANRCs are considered legal geographic entities. Twelve ANRCs cover the entire state of Alaska except for the area within the Annette Island Reserve (a federally recognized American Indian reservation under the governmental authority of the Metlakatla Indian Community). A thirteenth ANRC represents Alaska Natives who do not live in Alaska and do not identify with any of the twelve corporations. The Census Bureau does not provide data for this thirteenth ANRC because it has no defined geographic extent and thus it does not appear in the TIGER/Line Files. The Census Bureau offers representatives of the twelve non-profit ANRCs in Alaska the opportunity to review and update the ANRC boundaries before each decennial census. The ANRC boundaries are those reported as of January 1, 2010",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Current Alaska Native Regional Corporation (ANRC)",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/anrc/",
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+ "metadata_created": "2020-11-10T18:26:54.545177",
+ "metadata_modified": "2020-11-10T22:35:56.231870",
+ "name": "2017cart-aiannhkml",
+ "notes": "The American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas file includes the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs). Joint use areas included in this file refer to areas that are administered jointly and/or claimed by two or more American Indian tribes. The Census Bureau designates both legal and statistical joint use areas as unique geographic entities for the purpose of presenting statistical data. Note that tribal subdivisions and Alaska Native Regional Corporations (ANRCs) are additional types of American Indian/Alaska Native areas stored by the Census Bureau, but are displayed in separate files because of how they fall within the Census Bureau's geographic hierarchy. The State of Hawaii's Office of Hawaiian Home Lands provides the legal boundaries for the HHLs.",
+ "organization": {
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+ "name": "census-gov",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
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+ "metadata_modified": "2021-10-13T00:14:51.495787",
+ "name": "2019-roads",
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+ "metadata_created": "2020-11-10T18:02:22.292326",
+ "metadata_modified": "2020-11-10T22:19:12.457647",
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+ "metadata_modified": "2020-11-10T22:59:32.223102",
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+ "notes": " Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. ",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/SeriesInfoFiles/SeriesCollection_tl_2015_prisecroads.shp.iso.xml\", \"private_datasets\": \"False\"}",
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+ "metadata_created": "2020-11-10T17:00:46.592564",
+ "metadata_modified": "2020-11-10T21:48:07.263629",
+ "name": "2015tigerprisecroads",
+ "notes": "Primary roads are generally divided, limited-access highways within the interstate highway system or under State management, and are distinguished by the presence of interchanges. ",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "is_organization": true,
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2015TigerPrisecroads",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/prisecroads/",
+ "resources": [],
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+ "metadata_created": "2020-11-10T18:02:36.589506",
+ "metadata_modified": "2020-11-10T22:19:30.567540",
+ "name": "2017-county-within-cd115-500kml",
+ "notes": " The records in this file allow users to map the parts of the 115th Congressional Districts that overlap a particular county",
+ "organization": {
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+ "name": "census-gov",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_county_within_cd115_500kml",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/county_within_cd115_500kml/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/SeriesInfoFiles/SeriesCollection_tl_2015_sldu.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/SeriesInfoFiles/SeriesCollection_tl_2015_sldu.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T17:29:25.473050",
+ "metadata_modified": "2020-11-10T21:49:09.517353",
+ "name": "2015tigersldu",
+ "notes": "State Legislative Districts (SLDs) are the areas from which members are elected to State legislatures.",
+ "organization": {
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+ "name": "census-gov",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2015TigerSldu",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/sldu/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T17:47:53.931231",
+ "metadata_modified": "2020-11-10T22:07:11.834883",
+ "name": "2016-csa",
+ "notes": "Combined Statistical Areas (CSAs) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent Core Based Statistical Areas (CBSAs) that have significant employment interchanges. The CBSAs that combine to create a CSA retain separate identities within the larger CSA. Because CSAs represent groupings of CBSAs, they should not be ranked or compared with individual CBSAs. \r\n\r\n The CSA boundaries are those defined by OMB based on the 2010 Census and published in 2013.\r\n ",
+ "organization": {
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+ "name": "census-gov",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "is_organization": true,
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+ "source_type": "waf",
+ "state": "active",
+ "title": "2016_csa",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/csa/",
+ "resources": [],
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+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/ParentFiles/SeriesCollection_cb_2016_puma10_500k.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_modified": "2020-11-10T22:24:09.362139",
+ "name": "2017-puma10-500",
+ "notes": "After each decennial census, the Census Bureau delineates Public Use Microdata Areas (PUMAs) for the tabulation and dissemination of decennial census Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) PUMS data, and ACS period estimates. Nesting within states, or equivalent entities, PUMAs cover the entirety of the United States, Puerto Rico, Guam, and the U.S. Virgin Islands. PUMA delineations are subject to population, building block geography, geographic nesting, and contiguity criteria. Each PUMA is identified by a 5-character numeric census code that may contain leading zeros and a descriptive name.",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "is_organization": true,
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+ "source_type": "waf-collection",
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+ "metadata_modified": "2020-11-10T22:49:41.491279",
+ "name": "2019-rails",
+ "notes": "The Rails Shapefile includes all features within the MTDB Super Class \"Rail Features\" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begin with \"R\". This includes main lines such as spur lines, rail yards, mass transit rail lines such as carlines, streetcar track, monorail or other mass transit rail and special purpose rail lines such as cog rail lines, incline rail lines and trams.",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Tiger2019/rails/",
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+ "metadata_created": "2020-11-10T18:01:53.584457",
+ "metadata_modified": "2020-11-10T22:18:36.485680",
+ "name": "2017-county-5",
+ "notes": "The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation.",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "state": "active",
+ "title": "2017_county_5",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/county_5/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019county_within_ua.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019county_within_ua.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "cc1dcc18-c70b-4636-89f0-8ee04c4b331e",
+ "metadata_created": "2020-11-10T18:45:18.297119",
+ "metadata_modified": "2020-11-10T22:54:53.732800",
+ "name": "2019cb-county-withn-ua",
+ "notes": " The records in this file allow users to map the parts of Urban Areas that overlap a particular county. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the \"\"urban footprint.\"\" There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019cb_county-withn_ua",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/county_within_ua/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "cf521a68-eb4b-402e-9d03-d2001e5c0516",
+ "metadata_created": "2020-11-10T17:56:21.842592",
+ "metadata_modified": "2020-11-10T22:17:52.276083",
+ "name": "2017-cnecta-500",
+ "notes": " Combined New England City and Town Areas (CNECTA) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent New England City and Town Areas (NECTA) that have significant employment interchanges. The NECTAs that combine to create a CNECTA retain separate identities within the larger combined statistical area.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_cnecta_500",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/cnecta_500/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "7e7d4970-2efc-4f0b-99ca-d35822eca441",
+ "metadata_created": "2020-11-10T18:03:41.818692",
+ "metadata_modified": "2020-11-10T22:20:52.460573",
+ "name": "2017-csa-20",
+ "notes": "Combined Statistical Areas (CSAs) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent Core Based Statistical Areas (CBSAs) that have significant employment interchanges. The CBSAs that combine to create a CSA retain separate identities within the larger CSA. Because CSAs represent groupings of CBSAs, they should not be ranked or compared with individual CBSAs. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_csa_20",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/csa_20/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "9489d40c-a905-4dbb-83c7-917ca909c1f3",
+ "metadata_created": "2020-11-10T18:11:04.697666",
+ "metadata_modified": "2020-11-10T22:29:45.766444",
+ "name": "2017-cd115",
+ "notes": "Congressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the States based on census population counts, each State is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a State as practicable.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_cd115",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/cd115/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Tiger2019/SeriesInfo/SeriesCollection_tl_2019_featnames.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Tiger2019/SeriesInfo/SeriesCollection_tl_2019_featnames.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "9540aab9-c558-4923-9434-802a31895683",
+ "metadata_created": "2020-11-10T18:38:32.578384",
+ "metadata_modified": "2020-11-10T22:48:02.572737",
+ "name": "2019-featnames",
+ "notes": "Each feature name can be linked to the corresponding edges that make up that feature in the All Lines Shapefile (EDGES.shp), where applicable to the corresponding address range or ranges in the Address Ranges Relationship File (ADDR.dbf), or to both files.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019_featnames",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Tiger2019/featnames/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "6ef11f74-ddf5-4544-a4e9-76eb99402eab",
+ "metadata_created": "2020-11-10T18:02:07.923769",
+ "metadata_modified": "2020-11-10T22:18:54.587942",
+ "name": "2017-county-20",
+ "notes": "The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau.The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_county_20",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/county_20/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "6086b996-1f4f-4833-9650-946d3706cc27",
+ "metadata_created": "2020-11-10T18:33:54.717776",
+ "metadata_modified": "2020-11-10T22:43:00.195404",
+ "name": "2018-uac",
+ "notes": "After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the \"urban footprint.\" ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2018_uac",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/uac/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "74680dd0-789f-4177-8c34-18996c5e07af",
+ "metadata_created": "2020-11-10T18:29:40.860612",
+ "metadata_modified": "2020-11-10T22:38:50.225115",
+ "name": "2018-csa",
+ "notes": "Combined Statistical Areas (CSAs) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent Core Based Statistical Areas (CBSAs) that have significant employment interchanges. The CBSAs that combine to create a CSA retain separate identities within the larger CSA.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2018-csa",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/csa/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/ISOParent/SeriesCollection_cb_2015_place_500k.kml.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/ISOParent/SeriesCollection_cb_2015_place_500k.kml.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "130c9ce4-7f03-4462-8f6c-83a4e29d6c57",
+ "metadata_created": "2020-11-10T17:45:44.368123",
+ "metadata_modified": "2020-11-10T22:04:29.419707",
+ "name": "2016-kml-place-500",
+ "notes": "The cartographic boundary files include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population.\r\n Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population.\r\n ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2016_kml_place_500",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/kml_place_500/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019scsd.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019scsd.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "fe4a45c0-9d21-4ed1-ba19-083e305e7a64",
+ "metadata_created": "2020-11-10T18:48:02.943550",
+ "metadata_modified": "2020-11-10T22:58:02.449934",
+ "name": "2019cb-scsd",
+ "notes": " School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019cb_SCSD",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/scsd/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/ParentFiles/SeriesCollection_tl_2017_edges.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/ParentFiles/SeriesCollection_tl_2017_edges.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "c80096fe-c755-4e46-9f81-d60121b0dcc4",
+ "metadata_created": "2020-11-10T18:26:10.550223",
+ "metadata_modified": "2020-11-10T22:35:09.419965",
+ "name": "2017-edges",
+ "notes": "Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value. \r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2017_edges",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/edges/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_tabblock10.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_tabblock10.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "0c062498-ab68-458a-91b4-a2e7171d4f81",
+ "metadata_created": "2020-11-10T17:52:10.081708",
+ "metadata_modified": "2020-11-10T22:12:37.566583",
+ "name": "2016-tabblock10",
+ "notes": "Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by invisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks. As a result, all 2010 Census blocks nest within every other 2010 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropriate geographic areas. Census blocks cover all territory in the United States, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands). Blocks are the smallest geographic areas for which the Census Bureau publishes data from the decennial census. A block may consist of one or more faces. \r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2016_tabblock10",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/tabblock10/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
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+ "id": "7f683fff-cafe-4f7f-a989-133c9169a6ff",
+ "metadata_created": "2020-11-10T18:39:57.645814",
+ "metadata_modified": "2021-10-12T20:43:52.595914",
+ "name": "2019-puma",
+ "notes": "After each decennial census, the Census Bureau delineates Public Use Microdata Areas (PUMAs) for the tabulation and dissemination of decennial census Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) PUMS data, and ACS period estimates. Nesting within states, or equivalent entities, PUMAs cover the entirety of the United States, Puerto Rico, Guam, and the U.S. Virgin Islands. PUMA delineations are subject to population, building block geography, geographic nesting, and contiguity criteria. Each PUMA is identified by a 5-character numeric census code that may contain leading zeros and a descriptive name. \r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019 PUMA10",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Collections/2019/puma10/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "f7482be9-b39f-459c-b9d5-e0a88af6e1b0",
+ "metadata_created": "2020-11-10T17:34:40.705278",
+ "metadata_modified": "2020-11-10T21:54:52.992565",
+ "name": "2016-anrc-500",
+ "notes": "Alaska Native Regional Corporations (ANRCs) were created pursuant to the Alaska Native Claims Settlement Act (ANCSA), which is federal legislation (Pub. L. 92-203, 85 Stat. 688 (1971);\r\n43 U.S.C. 1602 et seq. (2000)) enacted in 1971, as a \"Regional Corporation\" and organized under the laws of the State of Alaska to conduct both the for-profit and non-profit affairs of Alaska Natives within a defined region of Alaska. For the Census Bureau, ANRCs are considered legal geographic entities. Twelve ANRCs cover the entire state of Alaska except for the area within the Annette Island Reserve (a federally recognized American Indian reservation under the governmental authority of the Metlakatla Indian Community). A thirteenth ANRC represents Alaska Natives who do not live in Alaska and do not identify with any of the twelve corporations. The Census Bureau does not provide data for this thirteenth ANRC because it has no defined geographic extent and thus it does not appear in the Cartographic Boundary Files. The Census Bureau offers representatives of the twelve non-profit ANRCs in Alaska the opportunity to review and update the ANRC boundaries before each decennial census.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2016_anrc_500",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/anrc_500/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "896e7391-ff4b-447a-b31a-5edbab4c1073",
+ "metadata_created": "2020-11-10T17:34:33.897624",
+ "metadata_modified": "2020-11-10T21:54:43.975512",
+ "name": "2016-aiannh-500",
+ "notes": "The American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas cartographic boundary file includes generalized versions of the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs). Joint use areas are also included in this shapefile refer to areas that are administered jointly and/or claimed by two or more American Indian tribes. The Census Bureau designates both legal and statistical joint use areas as unique geographic entities for the purpose of presenting statistical data. Note that tribal subdivisions and Alaska Native Regional Corporations (ANRCs) are additional types of American Indian/Alaska Native areas stored by the Census Bureau, but are displayed in separate files because of how they fall within the Census Bureau's geographic hierarchy.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2016_aiannh_500",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/aiannh_500/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/ParentFiles/SeriesCollection_cb_2016_bg_500k.kml.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/ParentFiles/SeriesCollection_cb_2016_bg_500k.kml.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "eec16e33-a128-403b-8a86-dbe90fa9ab52",
+ "metadata_created": "2020-11-10T17:54:56.234883",
+ "metadata_modified": "2020-11-10T22:16:04.220738",
+ "name": "2017-bg-500kml",
+ "notes": "Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2017_bg_500kml",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/bg_500kml/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_sldl.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_sldl.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "d7b0fbf5-4a89-47cf-a11b-a958621d61b4",
+ "metadata_created": "2020-11-10T18:31:28.950243",
+ "metadata_modified": "2020-11-10T22:40:37.843157",
+ "name": "2018-sldl",
+ "notes": "State Legislative Districts (SLDs) are the areas from which members are elected to State legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2018_sldl",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/sldl/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "c24020a2-4da0-4c8c-b558-629c65c5c356",
+ "metadata_created": "2020-11-10T17:39:39.545559",
+ "metadata_modified": "2023-10-03T18:11:46.974440",
+ "name": "ocspp-opp-non-geo-records",
+ "notes": "OCSPP-OPP Non-Geo Records",
+ "organization": {
+ "id": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "name": "epa-gov",
+ "title": "U.S. Environmental Protection Agency",
+ "type": "organization",
+ "description": "Our mission is to protect human health and the environment. ",
+ "image_url": "https://edg.epa.gov/EPALogo.svg",
+ "created": "2020-11-10T15:10:42.298896",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "private": false,
+ "source_type": "datajson",
+ "state": "active",
+ "title": "OCSPP-OPP Non-Geo Records",
+ "type": "harvest",
+ "url": "https://edg.epa.gov/data/PUBLIC/OCSPP/OPP/metadata/OCSPP-OPP.json",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "9f4c5788-4967-4ea6-a713-1933c2796472",
+ "metadata_created": "2020-11-10T17:55:10.460344",
+ "metadata_modified": "2020-11-10T22:16:22.203952",
+ "name": "2017-cbsa-5kml",
+ "notes": "Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_cbsa_5kml",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/cbsa_5kml/",
+ "resources": [],
+ "tags": [],
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+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_roads.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_roads.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "61950d7e-4d78-4ea5-84e5-b45f9c794521",
+ "metadata_created": "2020-11-10T15:06:23.945029",
+ "metadata_modified": "2020-11-10T20:06:47.294776",
+ "name": "all-roads-county-based-shapefile",
+ "notes": "The All Roads Shapefile includes all features within the MTDB Super Class \"Road/Path Features\" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with \"S\". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "All Roads County-based Shapefile",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/roads/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_sldu.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_sldu.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "39fbff93-6f3b-4f06-9100-b2b5864baf3d",
+ "metadata_created": "2020-11-10T17:51:47.800413",
+ "metadata_modified": "2020-11-10T22:12:10.616749",
+ "name": "2016-sldu",
+ "notes": "State Legislative Districts (SLDs) are the areas from which members are elected to State legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by State participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, Maine, Maryland, Massachusetts, Michigan, Ohio, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code \"ZZZ\" has been assigned, which is treated as a single SLD for purposes of data presentation. \r\n\r\n \r\nThe boundaries of the 2014 State legislative districts were provided by state-level participants through the RDP and reflect the districts used to elect members in or prior to the November 2014 election.\r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2016_sldu",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/sldu/",
+ "resources": [],
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+ "frequency": "MANUAL",
+ "id": "7732f8e2-d7ac-4356-8436-163050397f28",
+ "metadata_created": "2020-11-10T18:37:10.207752",
+ "metadata_modified": "2021-10-12T22:41:33.791822",
+ "name": "2019-concity",
+ "notes": "A consolidated city is a unit of local government for which the functions of an incorporated place and its county or minor civil division (MCD) have merged. This action results in both the primary incorporated place and the county or MCD continuing to exist as legal entities, even though the county or MCD performs few or no governmental functions and has few or no elected officials. Where this occurs, and where one or more other incorporated places in the county or MCD continue to function as separate governments, even though they have been included in the consolidated government, the primary incorporated place is referred to as a consolidated city. The Census Bureau classifies the separately incorporated places within the consolidated city as place entities and creates a separate place (balance) record for the portion of the consolidated city not within any other place.\r\n\r\nThe boundaries of the consolidated cities are those as of January 1, 2019, as reported through the Census Bureau's Boundary and Annexation Survey (BAS).",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019_concity",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Collections/2019/concity/",
+ "resources": [],
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+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019unsdKML.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T18:50:05.043801",
+ "metadata_modified": "2020-11-10T23:00:17.581632",
+ "name": "2019cb-unsdkml",
+ "notes": "The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts. The cartographic boundary files include separate files for elementary, secondary and unified school districts. The generalized school district boundaries in this file are based on those in effect for the 2018-2019 school year, i.e., in operation as of January 1, 2019.\r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019cb_unsdKML",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/unsd_kml/",
+ "resources": [],
+ "tags": [],
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+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "7c12936c-90a0-4497-9695-d7147bc52629",
+ "metadata_created": "2020-11-10T17:47:04.841299",
+ "metadata_modified": "2020-11-10T22:06:08.715885",
+ "name": "2016-aiannh",
+ "notes": "The American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas Shapefile includes the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs). Joint use areas are also included in this shapefile refer to areas that are administered jointly and/or claimed by two or more American Indian tribes. The Census Bureau designates both legal and statistical joint use areas as unique geographic entities for the purpose of presenting statistical data. Note that tribal subdivisions and Alaska Native Regional Corporations (ANRCs) are additional types of American Indian/Alaska Native areas stored by the Census Bureau, but are displayed in separate shapefiles because of how they fall within the Census Bureau's geographic hierarchy. The State of Hawaii's Office of Hawaiian Home Lands provides the legal boundaries for the HHLs. The boundaries for ANVSAs, OTSAs, and TDSAs were delineated for the 2010 Census through the Tribal Statistical Areas Program (TSAP) by participants from the federally recognized tribal governments. The Bureau of Indian Affairs (BIA) within the U.S. Department of the Interior (DOI) provides the list of federally recognized tribes and only provides legal boundary information when the tribes need supporting records, if a boundary is based on treaty or another document that is historical or open to legal interpretation, or when another tribal, state, or local government challenges the depiction of a reservation or off-reservation trust land. \r\n\r\nThe boundaries for federally recognized American Indian reservations and off-reservation trust lands are as of January 1, 2015, as reported by the federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey (BAS).\r\n\r\nThe boundaries for state-recognized American Indian reservations and for SDTSAs were delineated by a state governor-appointed liaisons for the 2010 Census through the State American Indian Reservation Program and TSAP respectively.\r\n ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2016_aiannh",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/aiannh/",
+ "resources": [],
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+ "config": "{\"private_datasets\": \"False\"}",
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+ "frequency": "MANUAL",
+ "id": "7bb7b320-7f2f-4470-8661-ebb06db43d05",
+ "metadata_created": "2020-11-10T18:28:24.582450",
+ "metadata_modified": "2020-11-10T22:37:29.105377",
+ "name": "2018-aiannh",
+ "notes": "The American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas Shapefile includes the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs). ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2018_aiannh",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/aiannh/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
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+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "eefccb28-0fa9-4242-a0e4-d59020ee7474",
+ "metadata_created": "2020-11-10T18:30:12.304112",
+ "metadata_modified": "2020-11-10T22:39:17.255291",
+ "name": "2018-metdiv",
+ "notes": "\r\n\r\nMetropolitan Divisions subdivide a Metropolitan Statistical Area containing a single core urban area that has a population of at least 2.5 million to form smaller groupings of counties or equivalent entities. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2018_metdiv",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/metdiv/",
+ "resources": [],
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+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "4638c2a5-52e7-4620-bfe4-b69cd7835a17",
+ "metadata_created": "2020-11-10T17:36:03.597918",
+ "metadata_modified": "2020-11-10T21:56:41.250421",
+ "name": "2016-county-within-cd114-500",
+ "notes": "\r\nCongressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. The 114th Congress is seated from January 2015 to 2017. The TIGER/Line shapefiles for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts are provided to the Census Bureau through the Redistricting Data Program (RDP).\r\n\r\nThe primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the state of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities.\r\n\r\nThe boundaries for counties and equivalent entities are mostly as of January 1, 2013, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS). However, some changes made after January 2013, including the addition and deletion of counties, are included.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2016_county_within_cd114_500",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/county_within_cd114_500/",
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+ "metadata_created": "2020-11-10T17:54:13.477134",
+ "metadata_modified": "2023-10-03T19:05:55.705535",
+ "name": "oei-oic-non-geo-records",
+ "notes": "OEI-OIC Non-Geo Records",
+ "organization": {
+ "id": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "name": "epa-gov",
+ "title": "U.S. Environmental Protection Agency",
+ "type": "organization",
+ "description": "Our mission is to protect human health and the environment. ",
+ "image_url": "https://edg.epa.gov/EPALogo.svg",
+ "created": "2020-11-10T15:10:42.298896",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "private": false,
+ "source_type": "datajson",
+ "state": "active",
+ "title": "OEI-OIC Non-Geo Records",
+ "type": "harvest",
+ "url": "https://edg.epa.gov/data/PUBLIC/OEI/metadata/OEI-OIC.json",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019elsd.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019elsd.shp.iso.xml\", \"private_datasets\": \"True\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T18:46:22.141723",
+ "metadata_modified": "2020-11-10T22:56:05.768316",
+ "name": "2019cb-elsd",
+ "notes": "School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts",
+ "organization": {
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+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "True",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019cb_elsd",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/elsd/",
+ "resources": [],
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+ "metadata_created": "2020-11-10T17:46:29.461213",
+ "metadata_modified": "2020-11-10T22:05:23.772703",
+ "name": "2016-kml-region-20",
+ "notes": "Regions are four groupings of States (Northeast, South, Midwest, and West) established by the Census Bureau in 1942 for the presentation of census data.\r\n ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2016_kml_region_20",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/kml_region_20/",
+ "resources": [],
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+ "metadata_created": "2020-11-10T17:36:53.533083",
+ "metadata_modified": "2020-11-10T21:57:44.514322",
+ "name": "2016-csa-5",
+ "notes": ".\r\n\r\nCombined Statistical Areas (CSAs) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent Core Based Statistical Areas (CBSAs) that have significant employment interchanges. The CBSAs that combine to create a CSA retain separate identities within the larger CSA. Because CSAs represent groupings of CBSAs, they should not be ranked or compared with individual CBSAs.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2016_csa_5",
+ "type": "harvest",
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+ "metadata_created": "2020-11-10T18:42:35.798937",
+ "metadata_modified": "2020-11-10T22:52:21.997621",
+ "name": "json-test-waf",
+ "notes": "Test harvest source for JSON data onto data.gov",
+ "organization": {
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+ "name": "fgdc-gov",
+ "title": "Federal Geographic Data Committee",
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+ "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/ab/US-FederalGeographicDataCommittee-Logo.svg/220px-US-FederalGeographicDataCommittee-Logo.svg.png",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "datajson",
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+ "title": "JSON Test WAF",
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+ "url": "https://apps.usgs.gov/fgdc/WAF_JSON/combined.json",
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+ "metadata_created": "2020-11-10T17:37:35.438001",
+ "metadata_modified": "2020-11-10T21:58:38.389519",
+ "name": "2016-kml-anrc-500",
+ "notes": "\r\nAlaska Native Regional Corporations (ANRCs) were created pursuant to the Alaska Native Claims Settlement Act (ANCSA), which is federal legislation (Pub. L. 92-203, 85 Stat. 688 (1971);\r\n43 U.S.C. 1602 et seq. (2000)) enacted in 1971, as a \"Regional Corporation\" and organized under the laws of the State of Alaska to conduct both the for-profit and non-profit affairs of Alaska Natives within a defined region of Alaska. For the Census Bureau, ANRCs are considered legal geographic entities. Twelve ANRCs cover the entire state of Alaska except for the area within the Annette Island Reserve (a federally recognized American Indian reservation under the governmental authority of the Metlakatla Indian Community). A thirteenth ANRC represents Alaska Natives who do not live in Alaska and do not identify with any of the twelve corporations. The Census Bureau does not provide data for this thirteenth ANRC because it has no defined geographic extent and thus it does not appear in the Cartographic Boundary Files. The Census Bureau offers representatives of the twelve non-profit ANRCs in Alaska the opportunity to review and update the ANRC boundaries before each decennial census.",
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+ "state": "active",
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+ "type": "harvest",
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+ "metadata_created": "2020-11-10T17:38:17.658664",
+ "metadata_modified": "2020-11-10T21:59:32.214433",
+ "name": "2016-kml-cd114-20",
+ "notes": "Congressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. The 114th Congress is seated from January 2015 to 2017. The cartographic boundary files for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts are provided to the Census Bureau through the Redistricting Data Program (RDP).\r\n ",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/kml_cd114_20/",
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+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_facesal.dbf.iso.xml\", \"private_datasets\": \"False\"}",
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+ "metadata_modified": "2020-11-10T22:42:07.574500",
+ "name": "2018-facesal",
+ "notes": ".\r\n\r\n\r\nThe Topological Faces / Area Landmark Relationship File (FACESAL.dbf) contains a record for each face / area landmark relationship.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
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+ "private_datasets": "True",
+ "source_type": "single-doc",
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+ "url": "http://fasgis.maps.arcgis.com/sharing/rest/content/items/9644aa43e73f4e18b6efd0a0d44d2d78/info/metadata/metadata.xml?token=pWJQbGx_U-_cu8irH5wbeDxM30xNO4zHb7tUtpcvqrgEJcBJ6uhndFhnCUm5cjQPVlbGvXe1rCDoN3l36i7rBkzZ-WJJyNR5o4Kg-jw72K9T8ip96LhpSim7kmkGsKuV6r5B5SaIqM5VCjPuLyYJsuO6dSA96_a3HeS73S8AvHkSaqdSSasM_eZDeDzx5oYt",
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+ "metadata_created": "2020-11-10T17:56:00.379475",
+ "metadata_modified": "2020-11-10T22:17:25.321835",
+ "name": "2017-cd115-20kml",
+ "notes": "Congressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable.",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "metadata_created": "2020-11-10T17:53:57.935999",
+ "metadata_modified": "2023-10-03T19:06:51.489624",
+ "name": "oei-non-geo-records",
+ "notes": "OEI Non-Geo Records",
+ "organization": {
+ "id": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "name": "epa-gov",
+ "title": "U.S. Environmental Protection Agency",
+ "type": "organization",
+ "description": "Our mission is to protect human health and the environment. ",
+ "image_url": "https://edg.epa.gov/EPALogo.svg",
+ "created": "2020-11-10T15:10:42.298896",
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+ "private": false,
+ "source_type": "datajson",
+ "state": "active",
+ "title": "OEI Non-Geo Records",
+ "type": "harvest",
+ "url": "https://edg.epa.gov/data/PUBLIC/OEI/metadata/OEI.json",
+ "resources": [],
+ "tags": [],
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+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_pointlm.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_pointlm.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T17:51:19.399614",
+ "metadata_modified": "2020-11-10T22:11:32.159758",
+ "name": "2016-pointlm",
+ "notes": "The Census Bureau includes landmarks in the MTDB for locating special features and to help enumerators during field operations. Some of the more common landmark types include area landmarks such as airports, cemeteries, parks, mountain peaks/summits, schools, and churches and other religious institutions. The Census Bureau has added landmark features to MTDB on an as-needed basis and made no attempt to ensure that all instances of a particular feature were included. The presence or absence of a landmark such as a hospital or prison does not mean that the living quarters associated with that landmark were geocoded to that census tabulation block or excluded from the census enumeration. \r\n",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "state": "active",
+ "title": "2016_pointlm",
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+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019CD116.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T18:43:55.585367",
+ "metadata_modified": "2020-11-10T22:53:24.566239",
+ "name": "2019cb-cd116",
+ "notes": "Congressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. The 116th Congress is seated from January 2019 to 2021.",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019cb_cd116",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/cd116/",
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+ "metadata_created": "2020-11-10T17:55:17.559613",
+ "metadata_modified": "2020-11-10T22:16:31.186766",
+ "name": "2017-cbsa-20",
+ "notes": "Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core.",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "approval_status": "approved",
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+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_cbsa_20",
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+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/cbsa_20/",
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+ "metadata_created": "2020-11-10T17:35:35.838345",
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+ "name": "2016-concity-500",
+ "notes": "A consolidated city is a unit of local government for which the functions of an incorporated place and its county or minor civil division (MCD) have merged. This action results in both the primary incorporated place and the county or MCD continuing to exist as legal entities, even though the county or MCD performs few or no governmental functions and has few or no elected officials. Where this occurs, and where one or more other incorporated places in the county or MCD continue to function as separate governments, even though they have been included in the consolidated government, the primary incorporated place is referred to as a consolidated city. The Census Bureau classifies the separately incorporated places within the consolidated city as place entities and creates a separate place (balance) record for the portion of the consolidated city not within any other place.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2016_concity_500",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/concity_500/",
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+ "metadata_created": "2020-11-10T18:12:03.237730",
+ "metadata_modified": "2020-11-10T22:30:57.444268",
+ "name": "2017-estate",
+ "notes": ". Estates are subdivisions of the three major islands in the United States Virgin Islands (USVI). The estates have legally defined boundaries and are much smaller in area than the Census Subdistricts (county subdivisions), but do not necessarily nest within these districts. The boundaries of the estates are primarily those of the former agricultural plantations that existed at the time Denmark transferred the islands to the United States in 1917. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_estate",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/estate/",
+ "resources": [],
+ "tags": [],
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+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019National.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019National.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T18:46:44.949333",
+ "metadata_modified": "2020-11-10T22:56:32.556333",
+ "name": "2019cb-nation",
+ "notes": "his file depicts the shape of the United States clipped back to a generalized coastline. This nation layer covers the extent of the fifty states, the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) when scale appropriate.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019cb_nation",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/nation/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
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+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/ParentFiles/SeriesCollection_cb_2016_scsd_500k.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/ParentFiles/SeriesCollection_cb_2016_scsd_500k.shp.iso.xml\", \"private_datasets\": \"True\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
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+ "metadata_created": "2020-11-10T18:07:41.209240",
+ "metadata_modified": "2020-11-10T22:25:48.156021",
+ "name": "2017-scsd-500",
+ "notes": "School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
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+ "private": false,
+ "private_datasets": "True",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2017_scsd_500",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/scsd_500/",
+ "resources": [],
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+ "metadata_created": "2020-11-10T18:35:31.607715",
+ "metadata_modified": "2021-08-24T14:15:49.610701",
+ "name": "2019-addr",
+ "notes": "\r\n\r\nThe Address Ranges Relationship File (ADDR.dbf) contains the attributes of each address range. Each address range applies to a single edge and has a unique address range identifier (ARID) value. The edge to which an address range applies can be determined by linking the address range to the All Lines Shapefile (EDGES.shp) using the permanent topological edge identifier (TLID) attribute. Multiple address ranges can apply to the same edge since an edge can have multiple address ranges. Note that the most inclusive address range associated with each side of a street edge already appears in the All Lines Shapefile (EDGES.shp). The TIGER/Line Files contain potential address ranges, not individual addresses. The term \"address range\" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. The address ranges in the TIGER/Line Files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019_addr",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Tiger2019/addr/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
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+ "metadata_created": "2020-11-10T17:45:07.169440",
+ "metadata_modified": "2023-10-03T18:15:56.845291",
+ "name": "region-1-non-geo-records",
+ "notes": "Region 1 Non-Geo Records",
+ "organization": {
+ "id": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "name": "epa-gov",
+ "title": "U.S. Environmental Protection Agency",
+ "type": "organization",
+ "description": "Our mission is to protect human health and the environment. ",
+ "image_url": "https://edg.epa.gov/EPALogo.svg",
+ "created": "2020-11-10T15:10:42.298896",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "private": false,
+ "source_type": "datajson",
+ "state": "active",
+ "title": "Region 1 Non-Geo Records",
+ "type": "harvest",
+ "url": "https://edg.epa.gov/data/PUBLIC/R1/metadata/Region1.json",
+ "resources": [],
+ "tags": [],
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+ "frequency": "MANUAL",
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+ "metadata_created": "2020-11-10T18:04:17.946829",
+ "metadata_modified": "2020-11-10T22:21:37.766373",
+ "name": "2017-division-5kml",
+ "notes": "\r\n\r\nDivisions are groupings of states within a census geographic region, established by the Census Bureau for the presentation of census data. The current nine divisions (East North Central, East South Central, Middle Atlantic, Mountain, New England, Pacific, South Atlantic, West North Central, and West South Central) are intended to represent relatively homogeneous areas that are subdivisions of the four census geographic regions.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_division_5kml",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/division_5kml/",
+ "resources": [],
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+ "metadata_created": "2020-11-10T18:25:14.281224",
+ "metadata_modified": "2020-11-10T22:34:15.501457",
+ "name": "2017-ttract",
+ "notes": "A tribal census tract is a relatively permanent statistical subdivision of a federally recognized American Indian reservation and/or off-reservation trust land, delineated by the American Indian tribal government and/or the Census Bureau for the purpose of presenting demographic data. For the 2010 Census, tribal census tracts are defined independently of the standard county-based census tract delineation.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_ttract",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/ttract/",
+ "resources": [],
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+ "metadata_created": "2020-11-10T18:59:20.929302",
+ "metadata_modified": "2023-12-13T21:21:48.155472",
+ "name": "nesdis-ngdc-mgg-nos-h08001-h10000",
+ "notes": "",
+ "organization": {
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+ "name": "noaa-gov",
+ "title": "National Oceanic and Atmospheric Administration, Department of Commerce",
+ "type": "organization",
+ "description": "",
+ "image_url": "https://fortress.wa.gov/dfw/score/score/images/noaa_logo.png",
+ "created": "2020-11-10T15:36:13.098184",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "5f4f1195-e770-4a2a-8f75-195cd98860ce",
+ "private": false,
+ "source_type": "waf",
+ "state": "active",
+ "title": "NESDIS/NGDC/MGG/NOS/H08001-H10000",
+ "type": "harvest",
+ "url": "https://data.noaa.gov/waf/NOAA/NESDIS/NGDC/MGG/NOS/H08001-H10000/iso/xml/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/ISOParent/SeriesCollection_cb_2015_cousub_500k.kml.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/ISOParent/SeriesCollection_cb_2015_cousub_500k.kml.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
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+ "metadata_created": "2020-11-10T17:40:08.823385",
+ "metadata_modified": "2020-11-10T22:01:46.788494",
+ "name": "2016-kml-cousub-500",
+ "notes": "County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas is covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2013, as reported through the Census Bureau's Boundary and Annexation Survey (BAS).\r\n ",
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+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2016_kml_cousub_500",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/kml_cousub_500/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
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+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/ParentFiles/SeriesCollection_cb_2016_cousub_500k.kml.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/ParentFiles/SeriesCollection_cb_2016_cousub_500k.kml.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
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+ "metadata_created": "2020-11-10T18:03:20.408904",
+ "metadata_modified": "2020-11-10T22:20:25.319868",
+ "name": "2017-cousub-500kmla",
+ "notes": "County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2017_cousub_500kmla",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/cousub_500kmla/",
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+ "metadata_created": "2020-11-10T18:27:57.879013",
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+ "notes": "Congressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. The 114th Congress is seated from January 2015 to 2017. The cartographic boundary files for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts are provided to the Census Bureau through the Redistricting Data Program (RDP).",
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+ "name": "epa-gov",
+ "title": "U.S. Environmental Protection Agency",
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+ "image_url": "https://edg.epa.gov/EPALogo.svg",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/ISOParent/SeriesCollection_cb_2015_puma10_500k.kml.iso.xml\", \"private_datasets\": \"False\"}",
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+ "notes": "After each decennial census, the Census Bureau delineates Public Use Microdata Areas (PUMAs) for the tabulation and dissemination of decennial census Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) PUMS data, and ACS period estimates. Nesting within states, or equivalent entities, PUMAs cover the entirety of the United States, Puerto Rico, Guam, and the U.S. Virgin Islands. PUMA delineations are subject to population, building block geography, geographic nesting, and contiguity criteria. Each PUMA is identified by a 5-character numeric census code that may contain leading zeros and a descriptive name.\r\n ",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "notes": "Divisions are groupings of states within a census geographic region, established by the Census Bureau for the presentation of census data. The current nine divisions (East North Central, East South Central, Middle Atlantic, Mountain, New England, Pacific, South Atlantic, West North Central, and West South Central) are intended to represent relatively homogeneous areas that are subdivisions of the four census geographic regions.",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "notes": "Combined Statistical Areas (CSAs) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent Core Based Statistical Areas (CBSAs) that have significant employment interchanges. The CBSAs that combine to create a CSA retain separate identities within the larger CSA. Because CSAs represent groupings of CBSAs, they should not be ranked or compared with individual CBSAs.",
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+ "notes": "States and equivalent entities are the primary governmental divisions of the United States. In addition to the fifty States, the Census Bureau treats the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) as the statistical equivalents of States for the purpose of data presentation.\r\n ",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/ISOParent/Cart/SeriesCollection_cb_2014_puma10_500k.shp.iso.xml\", \"private_datasets\": \"False\"}",
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+ "metadata_modified": "2020-11-10T21:35:56.044275",
+ "name": "2014-puma10-500k",
+ "notes": "After each decennial census, the Census Bureau delineates Public Use Microdata Areas (PUMAs) for the tabulation and dissemination of decennial census Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) PUMS data, and ACS period estimates. Nesting within states, or equivalent entities, PUMAs cover the entirety of the United States, Puerto Rico, Guam, and the U.S. Virgin Islands. PUMA delineations are subject to population, building block geography, geographic nesting, and contiguity criteria. Each PUMA is identified by a 5-character numeric census code that may contain leading zeros and a descriptive name.",
+ "organization": {
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+ "name": "census-gov",
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+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
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+ "source_type": "waf-collection",
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+ "title": "2014_puma10_500k",
+ "type": "harvest",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_csa_5m.xml\", \"private_datasets\": \"False\"}",
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+ "metadata_created": "2020-11-10T15:33:45.799237",
+ "metadata_modified": "2020-11-10T20:22:16.654768",
+ "name": "2014csa5m",
+ "notes": "2013 Cartographic Boundary File, Combined Statistical Area , 1:5,000,000",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014csa5m",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/csa_5m/",
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+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_subbarrio.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_subbarrio.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T15:11:23.283514",
+ "metadata_modified": "2020-11-10T20:12:55.319077",
+ "name": "subb",
+ "notes": " For the 2010 Census, subMCDs only exist in Puerto Rico. In Puerto Rico the subMCDs are termed subbarrios and are legally defined subdivisions of the minor civil division (MCD) named barrios-pueblo and barrios. The boundaries of the subbarrios are as of January 1, 2010 and were provided to the Census Bureau by the Puerto Rico Planning Board",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Current Subbarrio (Subminor Civil Division)",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/subbarrio/",
+ "extras": [
+ {
+ "key": "__category_tag_9a350fa9-bc49-43d4-8e77-270b9714976d",
+ "value": "[\"State\",\"County\"]"
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+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_tabblock10.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T18:31:45.815694",
+ "metadata_modified": "2020-11-10T22:40:55.746003",
+ "name": "2018-tabblock10",
+ "notes": "\r\n\r\n\r\nCensus Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by invisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2018_tabblock10",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/tabblock10/",
+ "resources": [],
+ "tags": [],
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+ "relationships_as_object": []
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+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/ISOParent/SeriesCollection_cb_2014_bg_500k.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/ISOParent/SeriesCollection_cb_2014_bg_500k.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T16:45:39.491205",
+ "metadata_modified": "2020-11-10T21:30:48.801999",
+ "name": "2015-bg500k",
+ "notes": "Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2015_bg500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/bg_500k/",
+ "resources": [],
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+ "relationships_as_object": []
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+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_facesah.dbf.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_facesah.dbf.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T17:50:58.047539",
+ "metadata_modified": "2020-11-10T22:11:05.609706",
+ "name": "2016-facesah",
+ "notes": "The Topological Faces / Area Hydrography Relationship File (FACESAH.dbf) contains a record for each face / area hydrography feature relationship. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The face to which a record in the Topological Faces / Area Hydrography Relationship File (FACESAH.dbf) applies can be determined by linking to the Topological Faces Shapefile (FACES.shp) using the permanent topological face identifier (TFID) attribute. The area hydrography feature to which a record in the Topological Faces / Area Hydrography Relationship File (FACESAH.dbf) applies can be determined by linking to the Area Hydrography Shapefile (AREAWATER.shp) using the area hydrography identifier (HYDROID) attribute. A face may be part of multiple area water features. An area water feature may consist of multiple faces. \r\n",
+ "organization": {
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+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2016_facesah",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/facesah/",
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+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/ParentFiles/SeriesCollection_tl_2017_tract.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "6f960023-aea3-4cb6-819e-b50f3aabf6e5",
+ "metadata_created": "2020-11-10T18:25:39.442591",
+ "metadata_modified": "2020-11-10T22:34:42.409555",
+ "name": "2017-tract",
+ "notes": "Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2017_tract",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/tract/",
+ "resources": [],
+ "tags": [],
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+ "relationships_as_subject": [],
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+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/ParentFiles/SeriesCollection_tl_2017_puma10.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/ParentFiles/SeriesCollection_tl_2017_puma10.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
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+ "metadata_created": "2020-11-10T18:13:46.279648",
+ "metadata_modified": "2020-11-10T22:33:03.453692",
+ "name": "2017-puma10",
+ "notes": "\r\n\r\nAfter each decennial census, the Census Bureau delineates Public Use Microdata Areas (PUMAs) for the tabulation and dissemination of decennial census Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) PUMS data, and ACS period estimates. Nesting within states, or equivalent entities, PUMAs cover the entirety of the United States, Puerto Rico, Guam, and the U.S. Virgin Islands. PUMA delineations are subject to population, building block geography, geographic nesting, and contiguity criteria. Each PUMA is identified by a 5-character numeric census code that may contain leading zeros and a descriptive name. \r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2017_puma10",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/puma10/",
+ "resources": [],
+ "tags": [],
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+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019sldlKML.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019sldlKML.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "d6557503-2186-4568-b4b9-40fcb4a0ed71",
+ "metadata_created": "2020-11-10T18:48:26.130410",
+ "metadata_modified": "2020-11-10T22:58:29.338127",
+ "name": "2019cb-sldlkml",
+ "notes": " SLDL stands for State Legislative District Lower Chamber. State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019cb_sldlKML",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/sldl_kml/",
+ "resources": [],
+ "tags": [],
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+ "notes": "Regions are four groupings of states (Northeast, South, Midwest, and West) established by the Census Bureau in 1942 for the presentation of census data.",
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+ "metadata_modified": "2020-11-10T22:03:16.944612",
+ "name": "2016-kml-nation-5",
+ "notes": "This file depicts the shape of the United States clipped back to a generalized coastline. This nation layer covers the extent of the fifty states, the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) when scale appropriate.",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "state": "active",
+ "title": "2016_kml_nation_5",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/kml_nation_5/",
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+ "metadata_modified": "2023-10-03T19:28:59.371396",
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+ "notes": "\r\nSchool Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents.",
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+ "metadata_modified": "2023-04-20T21:52:41.700237",
+ "name": "library-of-congress-data-json",
+ "notes": "Library of Congress Data.json Harvest Source",
+ "organization": {
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+ "description": "The Library of Congress is the world\u2019s largest library, offering access to the creative record of the United States and extensive materials from around the world both on site and online.",
+ "image_url": "https://raw.githubusercontent.com/GSA/logo/master/loc.png",
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+ "name": "2016-anrc",
+ "notes": "Alaska Native Regional Corporations (ANRCs) were created pursuant to the Alaska Native Claims Settlement Act (ANCSA), which is federal legislation (Pub. L. 92-203, 85 Stat. 688 (1971); 43 U.S.C. 1602 et seq. (2000)) enacted in 1971, as a 'Regional Corporation' and organized ",
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+ "name": "2013-state-state-legislative-district-upper-chamber-1-500-000",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "title": "2013 State-State Legislative District (Upper Chamber) 1:500,000",
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+ "name": "2017-bg",
+ "notes": "\r\n\r\n\r\nBlock Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census.",
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+ "metadata_created": "2020-11-10T17:49:39.865761",
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+ "name": "2016-addrfeat",
+ "notes": "The Address Ranges Feature Shapefile (ADDRFEAT.dbf) contains the geospatial edge geometry and attributes of all unsuppressed address ranges for a county or county equivalent area. The term \"address range\" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. Single-address address ranges have been suppressed to maintain the confidentiality of the addresses they describe. Multiple coincident address range feature edge records are represented in the shapefile if more than one left or right address ranges are associated to the edge. The ADDRFEAT shapefile contains a record for each address range to street name combination. Address range associated to more than one street name are also represented by multiple coincident address range feature edge records. Note that the ADDRFEAT shapefile includes all unsuppressed address ranges compared to the All Lines Shapefile (EDGES.shp) which only includes the most inclusive address range associated with each side of a street edge. The TIGER/Line shapefile contain potential address ranges, not individual addresses. The address ranges in the TIGER/Line Files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.",
+ "organization": {
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+ "name": "census-gov",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "metadata_modified": "2020-11-10T21:50:12.477752",
+ "name": "2015tigeruac10",
+ "notes": "After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the \"urban footprint.\"",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "private_datasets": "False",
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+ "title": "2015TIGERUac10",
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+ "source_type": "waf",
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+ "title": "NGDC STP Ionosphere",
+ "type": "harvest",
+ "url": "https://data.noaa.gov/waf/NOAA/NESDIS/NGDC/STP/Ionosphere/iso/xml/",
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+ "private_datasets": "False",
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+}
diff --git a/tests/harvest-sources/dcatus/all_harvest_sources/3.json b/tests/harvest-sources/dcatus/all_harvest_sources/3.json
new file mode 100644
index 00000000..39224287
--- /dev/null
+++ b/tests/harvest-sources/dcatus/all_harvest_sources/3.json
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+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_scsd.shp.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_scsd.shp.xml\", \"private_datasets\": \"False\"}",
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+ "metadata_modified": "2020-11-10T19:56:21.411707",
+ "name": "census-tiger-2012-secondary-school-districts",
+ "notes": "",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Census TIGER 2012 Secondary School Districts",
+ "type": "harvest",
+ "url": "http://www2.census.gov/geo/datadotgov/scsd/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ "metadata_created": "2020-11-10T17:48:15.159463",
+ "metadata_modified": "2020-11-10T22:07:38.866898",
+ "name": "2016-mil",
+ "notes": "The Census Bureau includes landmarks such as military installations in the MTDB for locating special features and to help enumerators during field operations. In 2012, the Census Bureau obtained the inventory and boundaries of most military installations from the U.S.Department of Defense (DOD) for Air Force, Army, Marine, and Navy installations and from the U.S. Department of Homeland Security (DHS) for Coast Guard installations. \r\n\r\nThe military installation boundaries in this release represent the updates the Census Bureau made in 2012 in collaboration with DoD.\r\n ",
+ "organization": {
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2016_mil",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/mil/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019PlaceKML.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019PlaceKML.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T18:47:23.679947",
+ "metadata_modified": "2020-11-10T22:57:17.360754",
+ "name": "2019cb-placekml",
+ "notes": " An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries.",
+ "organization": {
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019cb_placekml",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/place_kml/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "68851ee3-5c67-4d4d-9b7d-f40895335af2",
+ "metadata_created": "2020-11-10T17:47:11.824841",
+ "metadata_modified": "2020-11-10T22:06:17.745663",
+ "name": "2016-aitsn",
+ "notes": "American Indian tribal subdivisions are administrative subdivisions of federally recognized American Indian reservations/off-reservation trust lands or Oklahoma tribal statistical areas (OTSAs). These entities are internal units of self-government and/or administration that serve social, cultural, and/or economic purposes for the American Indian tribe or tribes on the reservations/off-reservation trust lands or OTSAs. The Census Bureau obtains the boundary and attribute information for tribal subdivisions on federally recognized American Indian reservations and off-reservation trust lands from federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey (BAS). For the 2010 Census, the boundaries for tribal subdivisions on OTSAs were also obtained from federally recognized tribal governments through the Tribal Statistical Areas Program (TSAP). Note that tribal subdivisions do not exist on all reservations/off-reservation trust lands or OTSAs, rather only where they were submitted to the Census Bureau by the federally recognized tribal government for that area. \r\n\r\nThe boundaries for American Indian tribal subdivisions are as of January 1, 2015, as reported by the federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey (BAS).\r\n\r\nThe boundaries for tribal subdivisions on OTSAs are those reported as of January 1, 2010 through TSAP.\r\n ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2016_aitsn",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/aitsn/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "59f1dd34-0d17-4a15-8401-16e5fa3d983a",
+ "metadata_created": "2020-11-10T16:52:54.772917",
+ "metadata_modified": "2020-11-10T21:37:35.057810",
+ "name": "2014-ua10-500k",
+ "notes": "After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2014_ua10_500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/ua10_500k/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_arealm.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_arealm.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "b2c7deee-a0c9-4ae2-811e-27445cd4094b",
+ "metadata_created": "2020-11-10T14:15:49.880839",
+ "metadata_modified": "2020-11-10T20:02:22.014262",
+ "name": "current-area-landmark-shapefile",
+ "notes": "The Census Bureau includes landmarks in the MTDB for locating special features and to help enumerators during field operations. Some of the more common landmark types include area landmarks such as airports, cemeteries, parks, schools, and churches and other religious institutions. The Census Bureau added landmark features to MTDB on an as-needed basis and made no attempt to ensure that all instances of a particular feature were included. The presence or absence of a landmark such as a hospital or prison does not mean that the living quarters associated with that landmark were geocoded to that census tabulation block or excluded from the census enumeration. The Area Landmark Shapefile does not include military installations or water bodies because they each appear in their own separate shapefiles, MIL.shp and AREAWATER.shp respectively.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Current Area Landmark Shapefile",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/arealm/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_addr.dbf.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_addr.dbf.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "5c2d5dde-8dfc-49e0-82b1-e414d57fbcc4",
+ "metadata_created": "2020-11-10T18:30:56.071979",
+ "metadata_modified": "2020-11-10T22:40:01.789165",
+ "name": "2018-addr",
+ "notes": "The Address Ranges Relationship File (ADDR.dbf) contains the attributes of each address range. Each address range applies to a single edge and has a unique address range identifier (ARID) value.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2018_addr",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/addr/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "WEEKLY",
+ "id": "cc7df4cc-8036-4868-b422-5823c63957d7",
+ "metadata_created": "2020-11-10T16:31:28.715967",
+ "metadata_modified": "2023-05-22T19:30:50.973407",
+ "name": "exim-data-json",
+ "notes": "Export-Import Bank of the US Data.json harvest source.",
+ "organization": {
+ "id": "73f20c4f-0d83-4935-95a5-034c18927361",
+ "name": "exim-gov",
+ "title": "Export-Import Bank of the US",
+ "type": "organization",
+ "description": "",
+ "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/5/51/Seal_of_the_United_States_Export-Import_Bank.svg/721px-Seal_of_the_United_States_Export-Import_Bank.svg.png",
+ "created": "2020-11-10T16:31:28.190440",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "73f20c4f-0d83-4935-95a5-034c18927361",
+ "private": false,
+ "source_type": "datajson",
+ "state": "active",
+ "title": "Exim Data.json",
+ "type": "harvest",
+ "url": "https://img.exim.gov/s3fs-public/dataset/vbhv-d8am/data.json",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/ISOParent/SeriesCollection_cb_2015_sldl_500k.kml.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/ISOParent/SeriesCollection_cb_2015_sldl_500k.kml.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "7c4a1a37-c884-4485-84f5-395882424ff7",
+ "metadata_created": "2020-11-10T17:46:57.890367",
+ "metadata_modified": "2020-11-10T22:05:59.660155",
+ "name": "2016-kml-sldl-500",
+ "notes": "SLDL stands for State Legislative District Lower Chamber. State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, Maine, Maryland, Massachusetts, Michigan, Ohio, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code \"ZZZ\" has been assigned, which is treated as a single SLD for purposes of data presentation.\r\n\r\nThe boundaries of the 2014 state legislative districts were provided by state-level participants through the RDP and reflect the districts used to elect members in or prior to the November 2014 election.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2016_kml_sldl_500",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/kml_sldl_500/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "60f97a1f-c5d6-4ef8-a20f-07a03b9daf7a",
+ "metadata_created": "2020-11-10T18:40:25.191606",
+ "metadata_modified": "2021-10-12T23:25:31.973438",
+ "name": "2019-scsd",
+ "notes": " The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from State officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to States and school districts.\r\n\r\nTIGER/Line Shapefiles include separate shapefiles for elementary, secondary and unified school districts. The school district boundaries are those in effect for the 2018-2019 school year, i.e., in operation as of January 1, 2019.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019_scsd",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Collections/2019/scsd/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "bd0da298-0108-47a4-83e7-822688820736",
+ "metadata_created": "2020-11-10T18:12:32.538568",
+ "metadata_modified": "2020-11-10T22:31:33.528808",
+ "name": "2017-facesmil",
+ "notes": "The Topological Faces / Military Installation Relationship File (FACESMIL.dbf) contains a record for each face / military installation relationship. Face refers to the areal (polygon) topological primitives that make up MTDB.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_facesmil",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/facesmil/",
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+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019unsd.shp.iso.xml\", \"private_datasets\": \"False\"}",
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+ "metadata_created": "2020-11-10T18:49:51.025163",
+ "metadata_modified": "2020-11-10T23:00:08.628507",
+ "name": "2019cb-unsd",
+ "notes": " School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts. The cartographic boundary files include separate files for elementary, secondary and unified school districts. The generalized school district boundaries in this file are based on those in effect for the 2018-2019 school year, i.e., in operation as of January 1, 2019.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
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+ "state": "active",
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+ "type": "harvest",
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+ "notes": "The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities.",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "source_type": "waf",
+ "state": "active",
+ "title": "2016_county_500",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/county_500/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
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+ "relationships_as_object": []
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_ZCTA5.shp.iso.xml\", \"private_datasets\": \"False\"}",
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+ "name": "census-tiger-2012-5-digit-zip-code-tabulation-area",
+ "notes": "",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Census TIGER 2012 5-Digit ZIP Code Tabulation Area",
+ "type": "harvest",
+ "url": "http://www2.census.gov/geo/datadotgov/zcta510/",
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+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_cousub.shp.iso.xml\", \"private_datasets\": \"False\"}",
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+ "metadata_created": "2020-11-10T18:29:33.154043",
+ "metadata_modified": "2020-11-10T22:38:41.283180",
+ "name": "2018-cousub",
+ "notes": "\r\nCounty subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally- recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "state": "active"
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+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2018_cousub",
+ "type": "harvest",
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+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_addr.dbf.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_addr.dbf.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T17:47:46.941116",
+ "metadata_modified": "2020-11-10T22:07:02.725401",
+ "name": "2016-addr",
+ "notes": "The Address Ranges Relationship File (ADDR.dbf) contains the attributes of each address range. Each address range applies to a single edge and has a unique address range identifier (ARID) value. The edge to which an address range applies can be determined by linking the address range to the All Lines Shapefile (EDGES.shp) using the permanent topological edge identifier (TLID) attribute. Multiple address ranges can apply to the same edge since an edge can have multiple address ranges. Note that the most inclusive address range associated with each side of a street edge already appears in the All Lines Shapefile (EDGES.shp). The TIGER/Line Files contain potential address ranges, not individual addresses. The term \"address range\" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. The address ranges in the TIGER/Line Files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2016_addr",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/addr/",
+ "resources": [],
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+ "metadata_created": "2020-11-10T18:05:30.037787",
+ "metadata_modified": "2020-11-10T22:23:07.157744",
+ "name": "2017-nation-20",
+ "notes": "This file depicts the shape of the United States clipped back to a generalized coastline. This nation layer covers the extent of the fifty states, the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) when scale appropriate.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "True",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_nation_20",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/nation_20/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
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+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_unsd.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T18:32:09.184513",
+ "metadata_modified": "2020-11-10T22:41:22.670116",
+ "name": "2018-unsd",
+ "notes": "School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents.",
+ "organization": {
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+ "name": "census-gov",
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+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2018_unsd",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/unsd/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
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+ "metadata_created": "2020-11-10T17:35:49.667192",
+ "metadata_modified": "2020-11-10T21:56:23.250335",
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+ "notes": "\r\nThe primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities.",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "is_organization": true,
+ "approval_status": "approved",
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2016_county_5",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/county_5/",
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+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "config": "{\"private_datasets\": \"False\"}",
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+ "id": "05c194f2-8223-4974-a88b-fd22b272d9c4",
+ "metadata_created": "2020-11-10T16:53:01.287973",
+ "metadata_modified": "2020-11-10T21:37:44.075641",
+ "name": "2014-zcta510-500k",
+ "notes": "ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2014_zcta510_500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/zcta510_500k/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019Place.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019Place.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "2ce62968-a736-4df8-a381-f4d33823d72b",
+ "metadata_created": "2020-11-10T18:47:15.995669",
+ "metadata_modified": "2020-11-10T22:57:08.366452",
+ "name": "2019cb-place",
+ "notes": "An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places.",
+ "organization": {
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+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
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+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019cb_place",
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+ "metadata_created": "2020-11-10T16:53:41.122109",
+ "metadata_modified": "2020-11-10T21:38:38.358650",
+ "name": "kml-cbsa-5m",
+ "notes": "Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "is_organization": true,
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+ "private_datasets": "False",
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+ "state": "active",
+ "title": "kml_cbsa_5m",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/cbsa_5m/",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_tbg.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T15:53:17.228275",
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+ "name": "2014-current-tribal-block-group",
+ "notes": "A tribal block group is a cluster of census tabulation blocks within a single tribal census tract delineated by American Indian tribal participants or the Census Bureau for the purpose of presenting demographic data on their reservation and/or off-reservation trust land. The tribal block groups are defined independently of the standard county-based block group delineation. For federally recognized American Indian Tribes with reservations and/or off-reservation trust lands with a population less than 1,200, a single tribal block group is defined. Qualifying reservations and/or off-reservation trust lands with a population greater than 1,200 could define additional tribal block groups within their area without regard to the standard block group configuration. Tribal block groups do not necessarily contain tabulation blocks always beginning with the same number and could contain seemingly duplicate block numbers. Tabulation block numbers are still assigned by using standard block groups, not the tribal block groups. To better identify tribal block groups, the letter code range A through K (except I, which could be confused with a number 1) is used uniquely within each tribal census tract. The boundaries of tribal block groups and tribal census tracts are those delineated through the Tribal Statistical Areas Program (TSAP) for the 2010 Census. \r\n ",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "metadata_created": "2020-11-10T15:36:01.230862",
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+ "name": "zcta510-500k",
+ "notes": "2010 5-Digit ZIP Code Tabulation Area for United States, 1:500,000",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "zcta510_500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/zcta510_500k/",
+ "resources": [],
+ "tags": [],
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_cnecta.shp.iso.xml\", \"private_datasets\": \"False\"}",
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+ "metadata_created": "2020-11-10T15:51:20.539416",
+ "metadata_modified": "2020-11-10T20:31:14.430005",
+ "name": "2014-combined-new-england-city-and-town-area",
+ "notes": "Combined New England City and Town Areas (CNECTA) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent New England City and Town Areas (NECTA) that have significant employment interchanges. The NECTAs that combine to create a CNECTA retain separate identities within the larger combined statistical area. Because CNECTAs represent groupings of NECTAs, they should not be ranked or compared with individual NECTAs. \r\n\r\nThe CNECTA boundaries are those defined by OMB based on the 2010 Census and published in 2013. \r\n",
+ "organization": {
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+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014 Combined New England City and Town Area",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/cnecta/",
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+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_place.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_place.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T18:30:47.590774",
+ "metadata_modified": "2020-11-10T22:39:52.852561",
+ "name": "2018-place",
+ "notes": "\r\n\r\nThe TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2018_place",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/place/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_place.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_place.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
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+ "metadata_created": "2020-11-10T17:51:12.351671",
+ "metadata_modified": "2020-11-10T22:11:23.146998",
+ "name": "2016-place",
+ "notes": "The TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. \r\n\r\n \r\nThe boundaries of most incorporated places in this shapefile are as of January 1, 2015, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.",
+ "organization": {
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+ "title": "U.S. Census Bureau, Department of Commerce",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
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+ "private": false,
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+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2016_place",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/place/",
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+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_aiannh_500k.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_aiannh_500k.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T15:30:16.079841",
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+ "name": "2014aiannh",
+ "notes": "American Indian Area/Alaska Native Area/Hawaiian Home Land for United States, 1:500,000",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014aiannh",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/aiannh_500k/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/ISOParent/KML/SeriesCollection_kml_2014_county_within_ua_500k.kml.iso.xml\", \"private_datasets\": \"False\"}",
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+ "name": "2014-kml-county-within-ua-500k",
+ "notes": "The records in this file allow users to map the parts of Urban Areas that overlap a particular county.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
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+ "type": "organization",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
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+ "state": "active",
+ "title": "2014_kml_county_within_ua_500k",
+ "type": "harvest",
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+ "metadata_created": "2020-11-10T16:52:21.935373",
+ "metadata_modified": "2020-11-10T21:36:50.007215",
+ "name": "2014-state-20m",
+ "notes": "States and equivalent entities are the primary governmental divisions of the United States. In addition to the fifty States, the Census Bureau treats the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) as the statistical equivalents of States for the purpose of data presentation.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2014_state_20m",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/state_20m/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_tbg.shp.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_tbg.shp.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T14:11:58.841525",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Census TIGER 2012 Tribal Block",
+ "type": "harvest",
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+ "metadata_created": "2020-11-10T18:02:00.762685",
+ "metadata_modified": "2020-11-10T22:18:45.463357",
+ "name": "2017-county-5kml",
+ "notes": "The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau.",
+ "organization": {
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+ "name": "census-gov",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_county_5kml",
+ "type": "harvest",
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+ "id": "b67da466-64f3-4673-9625-ac426651d7a8",
+ "metadata_created": "2020-11-10T18:13:38.835221",
+ "metadata_modified": "2020-11-10T22:32:54.445024",
+ "name": "2017-primaryroads",
+ "notes": "\r\n\r\nPrimary roads are generally divided, limited-access highways within the interstate highway system or under State management, and are distinguished by the presence of interchanges. These highways are accessible by ramps and may include some toll highways. The MAF/TIGER Feature Classification Code (MTFCC) is S1100 for primary roads. \r\n",
+ "organization": {
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+ "name": "census-gov",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "is_organization": true,
+ "approval_status": "approved",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_primaryroads",
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+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/primaryroads/",
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+ "relationships_as_object": []
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+ {
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+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019NationalKML.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T18:46:52.645220",
+ "metadata_modified": "2020-11-10T22:56:41.488247",
+ "name": "2019cb-nationkml",
+ "notes": "This nation layer covers the extent of the fifty states, the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) when scale appropriate.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "approval_status": "approved",
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+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019cb_nationKML",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/nation_kml/",
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+ "relationships_as_object": []
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+ {
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+ "metadata_created": "2020-11-10T18:03:56.435014",
+ "metadata_modified": "2020-11-10T22:21:10.550170",
+ "name": "2017-csa-500",
+ "notes": " Combined Statistical Areas (CSAs) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent Core Based Statistical Areas (CBSAs) that have significant employment interchanges. The CBSAs that combine to create a CSA retain separate identities within the larger CSA. Because CSAs represent groupings of CBSAs, they should not be ranked or compared with individual CBSAs. ",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_csa_500",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/csa_500/",
+ "resources": [],
+ "tags": [],
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+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
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+ "id": "fac525f9-a111-4d2e-bf3d-a63d47e273bd",
+ "metadata_created": "2020-11-10T16:51:09.580485",
+ "metadata_modified": "2020-11-10T21:35:11.091647",
+ "name": "2014-division-5m",
+ "notes": "Divisions are groupings of States within a census geographic region, established by the Census Bureau for the presentation of census data. The current nine divisions (East North Central, East South Central, Middle Atlantic, Mountain, New England, Pacific, South Atlantic, West North Central, and West South Central) are intended to represent relatively homogeneous areas that are subdivisions of the four census geographic regions.",
+ "organization": {
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+ "name": "census-gov",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2014_division_5m",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/division_5m/",
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+ "tags": [],
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+ "relationships_as_object": []
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2012_metdivec.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T15:38:18.371995",
+ "metadata_modified": "2020-11-10T20:28:50.125704",
+ "name": "2012-economic-census-metropolitan-division",
+ "notes": "Not all Metropolitan Statistical Areas with urban areas of this size will contain Metropolitan Divisions. Metropolitan Division are defined by the Office of Management and Budget (OMB) and consist of one or more main counties or equivalent entities that represent an employment center or centers, plus adjacent counties associated with the main county or counties through commuting ties. Because Metropolitan Divisions represent subdivisions of larger Metropolitan Statistical Areas, it is not appropriate to rank or compare Metropolitan Divisions with Metropolitan and Micropolitan Statistical Areas. \r\n\r\nEconomic Census Metropolitan Divisions are similar to current Metropolitan Divisions, which are those that the OMB announced and published in February 2013.\r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2012 Economic Census Metropolitan Division",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/metdivec/",
+ "resources": [],
+ "tags": [],
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+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/SeriesInfoFiles/SeriesCollection_tl_2015_puma10.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/SeriesInfoFiles/SeriesCollection_tl_2015_puma10.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T17:00:53.369483",
+ "metadata_modified": "2020-11-10T21:48:16.262997",
+ "name": "2015tigerpuma10",
+ "notes": "After each decennial census, the Census Bureau delineates Public Use Microdata Areas (PUMAs) for the tabulation and dissemination of decennial census Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) PUMS data, and ACS period estimates",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2015TigerPuma10",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/puma10/",
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+ "tags": [],
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+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_addrfn.dbf.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_addrfn.dbf.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T18:28:13.617903",
+ "metadata_modified": "2020-11-10T22:37:20.022503",
+ "name": "2018-addrfn",
+ "notes": "\r\n\r\nThe Address Range / Feature Name Relationship File (ADDRFN.dbf) contains a record for each address range / linear feature name relationship. The purpose of this relationship file is to identify all street names associated with each address range. An edge can have several feature names; an address range located on an edge can be associated with one or any combination of the available feature names (an address range can be linked to multiple feature names).",
+ "organization": {
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+ "name": "census-gov",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2018_addrfn",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/addrfn/",
+ "resources": [],
+ "tags": [],
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+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/ISOParent/KML/SeriesCollection_kml_2014_tract_500k.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/ISOParent/KML/SeriesCollection_kml_2014_tract_500k.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T16:57:03.437412",
+ "metadata_modified": "2020-11-10T21:43:08.646386",
+ "name": "2014-kml-tract-500k",
+ "notes": "Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014_kml_tract_500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/tract_500k/",
+ "resources": [],
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+ {
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_nectadiv.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T15:52:09.492994",
+ "metadata_modified": "2020-11-10T20:32:26.597386",
+ "name": "2014-current-necta-division",
+ "notes": "New England City and Town Area (NECTA) Divisions subdivide a NECTA containing a single core urban area that has a population of at least 2.5 million to form smaller groupings of cities and towns.NECTA Divisions are defined by the Office of Management and Budget (OMB) and consist of a main city or town that represents an employment center, plus adjacent cities and towns associated with the main city or town through commuting ties. Each NECTA Division must contain a total population of 100,000 or more. Because NECTA Divisions represent subdivisions of larger NECTAs, it is not appropriate to rank or compare NECTA Divisions with NECTAs. Not all NECTAs with urban areas of this size will contain NECTA Divisions. The NECTA Divisions boundaries are those defined by OMB based on the 2010 Census and published in 2013.\r\n",
+ "organization": {
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014 Current NECTA Division",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/nectadiv/",
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+ "notes": "Metropolitan Divisions subdivide a Metropolitan Statistical Area containing a single core urban area that has a population of at least 2.5 million to form smaller groupings of counties or equivalent entities. Not all Metropolitan Statistical Areas with urban areas of this size will contain Metropolitan Divisions. Metropolitan Division are defined by the Office of Management and Budget (OMB) and consist of one or more main counties or equivalent entities that represent an employment center or centers, plus adjacent counties associated with the main county or counties through commuting ties. Because Metropolitan Divisions represent subdivisions of larger Metropolitan Statistical Areas, it is not appropriate to rank or compare Metropolitan Divisions with Metropolitan and Micropolitan Statistical Areas. \r\n\r\nThe Metropolitan Divisions boundaries are those defined by OMB based on the 2010 Census and published in 2013. \r\n",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "name": "2015tigerestate",
+ "notes": " Estates are subdivisions of the three major islands in the United States Virgin Islands (USVI). The estates have legally defined boundaries and are much smaller in area than the Census Subdistricts (county subdivisions), but do not necessarily nest within these districts.",
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+ "metadata_modified": "2020-11-10T22:30:21.482051",
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+ "notes": "\r\nThe primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. ",
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+ "metadata_created": "2020-11-10T18:35:03.615883",
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+ "name": "pennsylvania-geospatial-data-clearinghouse",
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+ "description": "Pennsylvania Spatial Data Access (PASDA) is Pennsylvania's official public access open geospatial data portal. PASDA was developed in 1995 by the Pennsylvania State University and has served as the geospatial data portal for Pennsylvania for over twenty three years. PASDA was developed as a service to the citizens of the Commonwealth of Pennsylvania. The purpose of PASDA is to serve as the Commonwealth's comprehensive and coordinated open geospatial data portal that provides free public access to geospatial data and information by, for, and about the Commonwealth of Pennsylvania.",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "metadata_modified": "2020-11-10T22:29:08.598747",
+ "name": "2017-arealm",
+ "notes": "The Census Bureau includes landmarks in the MTDB for locating special features and to help enumerators during field operations. Some of the more common landmark types include area landmarks such as airports, cemeteries, parks, schools, and churches and other religious institutions. The Census Bureau added landmark features to MTDB on an as-needed basis and made no attempt to ensure that all instances of a particular feature were included. The presence or absence of a landmark such as a hospital or prison does not mean that the living quarters associated with that landmark were geocoded to that census tabulation block or excluded from the census enumeration. The Area Landmark Shapefile does not include military installations or water bodies because they each appear in their own separate shapefiles, MIL.shp and AREAWATER.shp respectively. \r\n",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "metadata_created": "2020-11-10T17:55:31.830881",
+ "metadata_modified": "2020-11-10T22:16:49.309333",
+ "name": "2017-cbsa-500",
+ "notes": "Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core.",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "private_datasets": "False",
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+ "metadata_created": "2020-11-10T18:13:09.260955",
+ "metadata_modified": "2020-11-10T22:32:18.419482",
+ "name": "2017-place",
+ "notes": "\r\nThe TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population.",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "is_organization": true,
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_tract.shp.iso.xml\", \"private_datasets\": \"False\"}",
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+ "metadata_created": "2020-11-10T15:53:23.407908",
+ "metadata_modified": "2020-11-10T20:34:15.767312",
+ "name": "2014-current-census-tract",
+ "notes": "Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area. \r\n",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "private_datasets": "False",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_estate.shp.xml\", \"private_datasets\": \"False\"}",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "is_organization": true,
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+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Census TIGER 2012 Current Estate",
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+ "url": "http://www2.census.gov/geo/datadotgov/estate/",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_aitsn.shp.xml\", \"private_datasets\": \"False\"}",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "title": "Census TIGER 2012 American Indian Tribal Subdivision",
+ "type": "harvest",
+ "url": "http://www2.census.gov/geo/datadotgov/aitsn/",
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+ "metadata_created": "2020-11-10T16:56:43.229167",
+ "metadata_modified": "2020-11-10T21:42:41.801699",
+ "name": "2014-kml-state-20m",
+ "notes": "States and equivalent entities are the primary governmental divisions of the United States. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
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+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "state": "active",
+ "title": "2014_kml_state_20m",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/state_20m/",
+ "resources": [],
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+ "relationships_as_object": []
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_ttract.shp.iso.xml\", \"private_datasets\": \"False\"}",
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+ "metadata_created": "2020-11-10T15:53:29.643898",
+ "metadata_modified": "2020-11-10T20:34:24.744628",
+ "name": "2014-current-tribal-census-tract",
+ "notes": "\r\n A tribal census tract is a relatively permanent statistical subdivision of a federally recognized American Indian reservation and/or off-reservation trust land, delineated by the American Indian tribal government and/or the Census Bureau for the purpose of presenting demographic data. For the 2010 Census, tribal census tracts are defined independently of the standard county-based census tract delineation. For federally recognized American Indian Tribes with reservations and/or off-reservation trust lands with a population less than 2,400, a single tribal census tract is defined. Qualifying areas with a population greater than 2,400 could define additional tribal census tracts within their area. The tribal census tract codes for the 2010 Census are six characters long with a leading \"T\" alphabetic character followed by a five-digit numeric code, for example, T01000, which translates as tribal census tract 10. Tribal block groups nest within tribal census tracts. Since individual tabulation blocks are defined within the standard State-county-census tract geographic hierarchy, a tribal census tract can contain seemingly duplicate block numbers, thus tribal census tracts cannot be used to uniquely identify census tabulation blocks for the 2010 Census. \r\n\r\n The boundaries of tribal census tracts are those delineated through the Tribal Statistical Areas Program (TSAP) for the 2010 Census.\r\n",
+ "organization": {
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+ "name": "census-gov",
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+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_roads.shp.xml\", \"private_datasets\": \"False\"}",
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+ "metadata_created": "2020-11-10T14:11:24.735793",
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+ "name": "census-tiger-2012-roads-county-based",
+ "notes": "",
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+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Census TIGER 2012 Roads County-based",
+ "type": "harvest",
+ "url": "http://www2.census.gov/geo/datadotgov/roads/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/ISOParent/Cart/SeriesCollection_cb_2014_cousub_500k.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "18522973-f64c-482d-8187-3908e50fc2bb",
+ "metadata_created": "2020-11-10T16:50:30.084898",
+ "metadata_modified": "2020-11-10T21:34:17.293785",
+ "name": "2014-cousub-500k",
+ "notes": "County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas is covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2013, as reported through the Census Bureau's Boundary and Annexation Survey (BAS).",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014_cousub_500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/cousub_500k/",
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+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_edges.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_edges.shp.iso.xml\", \"private_datasets\": \"False\"}",
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+ "frequency": "MANUAL",
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+ "metadata_created": "2020-11-10T17:50:29.297608",
+ "metadata_modified": "2020-11-10T22:10:29.354110",
+ "name": "2016-edges",
+ "notes": "Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value. \r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2016_edges",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/edges/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019tractKML.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019tractKML.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
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+ "metadata_created": "2020-11-10T18:49:28.007713",
+ "metadata_modified": "2020-11-10T22:59:41.256459",
+ "name": "tractkml",
+ "notes": " Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "tractKML",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/tract_kml/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/ISOParent/Cart/SeriesCollection_cb_2014_county_within_ua_500k.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/ISOParent/Cart/SeriesCollection_cb_2014_county_within_ua_500k.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "fa6b1097-d6a6-499b-b2e6-f1959f3579de",
+ "metadata_created": "2020-11-10T16:46:56.840992",
+ "metadata_modified": "2020-11-10T21:32:37.246017",
+ "name": "2014-county-within-ua-500k",
+ "notes": "The records in this file allow users to map the parts of Urban Areas that overlap a particular county.\r\n\r\nAfter each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the \"urban footprint.\" There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes.\r\n\r\nThe primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. \r\n\r\nThe boundaries for counties and equivalent entities are as of January 1, 2010.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014_county_within_ua_500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/county_within_ua_500k/",
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+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_sldu.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "id": "0eeeed1a-fe32-47a4-9e12-d7f321e78632",
+ "metadata_created": "2020-11-10T18:31:36.833436",
+ "metadata_modified": "2020-11-10T22:40:46.815796",
+ "name": "2018-sldu",
+ "notes": "\r\n\r\nState Legislative Districts (SLDs) are the areas from which members are elected to State legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2018_sldu",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/sldu/",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_ua10_500k.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T15:35:55.186773",
+ "metadata_modified": "2020-11-10T20:25:25.844368",
+ "name": "2014ua10-500k",
+ "notes": "2010 Urban Area for United States,1:500,000",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014ua10_500k",
+ "type": "harvest",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "title": "2015TigerCnecta",
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+ "metadata_created": "2020-11-10T16:58:18.193121",
+ "metadata_modified": "2020-11-10T21:44:47.686282",
+ "name": "2015tigercbsa",
+ "notes": "Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core",
+ "organization": {
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+ "private_datasets": "False",
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+ "title": "2015TigerCbsa",
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+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_mil.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_mil.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "id": "8fc85a21-0e2f-4b08-84ba-b189fbbf73f0",
+ "metadata_created": "2020-11-10T14:59:57.123329",
+ "metadata_modified": "2020-11-10T20:05:16.864308",
+ "name": "military-installation-national-shapefile",
+ "notes": "The Census Bureau includes landmarks such as military installations in the MTDB for locating special features and to help enumerators during field operations. In 2012, the Census Bureau obtained the inventory and boundaries of most military installations from the U.S. Department of Defense (DOD) for Air Force, Army, Marine, and Navy installations and from the U.S. Department of Homeland Security (DHS) for Coast Guard installations. The military installation boundaries in this release represent the updates the Census Bureau made in 2012 in collaboration with DoD.",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Military Installation National Shapefile",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/mil/",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_bg.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "id": "20ab534f-9fd5-44bc-a911-14688e74e6cc",
+ "metadata_created": "2020-11-10T17:49:25.793884",
+ "metadata_modified": "2020-11-10T22:09:08.811516",
+ "name": "2016-bg",
+ "notes": "Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. \r\n\r\n\r\nThe BG boundaries in this release are those that were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census. \r\n",
+ "organization": {
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+ "approval_status": "approved",
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+ "title": "2016_bg",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/bg/",
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+ "metadata_created": "2020-11-10T16:43:46.016932",
+ "metadata_modified": "2020-11-10T21:27:31.938377",
+ "name": "census-bureau-planned-acquisition",
+ "notes": "The Census Bureau updates and maintains address data to support the correct allocation of population and housing for censuses and surveys. Boundaries, streets, addresses, structure points, and selected other features are maintained in the Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) database. The Census Bureau collects geographic and address data from tribal, state, and local governments through a Geographic Support System Initiative (GSS-I) Partnership Program and through other geographic programs, such as the annual Boundary and Annexation Survey. When the Census Bureau updates the MAF/TIGER database with new or corrected street, address and structure point data, the boundary network must be updated concurrently to preserve geographic relationships. \r\n \r\n Additional sources of data are required to ensure complete coverage of all street centerlines and addresses for the fifty States, the District of Columbia, Puerto Rico, and the Island Areas. Some government partners are unable to provide street and address data that meets the Census\r\n Bureau's requirements. Therefore, the Census Bureau is requesting proposals for provision of address data from commercial vendors that can be easily integrated into the MAF/TIGER database. \r\n ",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "is_organization": true,
+ "approval_status": "approved",
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+ "private_datasets": "False",
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+ "title": "Census Bureau Planned Acquisition",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_puma10.shp.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T14:11:19.025142",
+ "metadata_modified": "2020-11-10T19:56:03.312477",
+ "name": "census-tiger-2012-public-use-microdata-area",
+ "notes": "",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
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+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Census TIGER 2012 Public Use Microdata Area",
+ "type": "harvest",
+ "url": "http://www2.census.gov/geo/datadotgov/puma10/",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_bg.shp.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
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+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Census TIGER 2012 Block Group Data",
+ "type": "harvest",
+ "url": "http://www2.census.gov/geo/datadotgov/bg/",
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+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019CountyKML.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019CountyKML.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "id": "eb8d0508-20f0-4234-8181-87785a6f6a78",
+ "metadata_created": "2020-11-10T18:45:10.644686",
+ "metadata_modified": "2020-11-10T22:54:44.864580",
+ "name": "2019cb-countykml",
+ "notes": "he primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. I",
+ "organization": {
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019cb_countyKML",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/county_kml/",
+ "resources": [],
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+ "frequency": "MANUAL",
+ "id": "5ee2f69f-7dae-4de4-a3aa-f6d4e2fff149",
+ "metadata_created": "2020-11-10T17:55:03.341043",
+ "metadata_modified": "2020-11-10T22:16:13.321637",
+ "name": "2017-cbsa-5",
+ "notes": " Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urbanized areas of 50,000 or more population; and Micropolitan Statistical Areas, based on urban clusters of at least 10,000 population but less than 50,000 population.",
+ "organization": {
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+ "name": "census-gov",
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+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_cbsa_5",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/cbsa_5/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_scsd.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_scsd.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T18:31:19.290438",
+ "metadata_modified": "2020-11-10T22:40:28.776615",
+ "name": "2018-scsd",
+ "notes": "School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. ",
+ "organization": {
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+ "name": "census-gov",
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+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2018_scsd",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/scsd/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_concity.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_concity.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "id": "45430db0-6eed-408e-954b-869b76e6247a",
+ "metadata_created": "2020-11-10T18:29:16.958641",
+ "metadata_modified": "2020-11-10T22:38:23.158274",
+ "name": "2018-concity",
+ "notes": "A consolidated city is a unit of local government for which the functions of an incorporated place and its county or minor civil division (MCD) have merged",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "state": "active",
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+ "metadata_modified": "2021-10-12T22:49:22.448628",
+ "name": "2019-cousub",
+ "notes": "\r\nCounty subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally- recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2019, as reported through the Census Bureau's Boundary and Annexation Survey (BAS).\r\n\r\nThe boundaries of all CCDs, delineated in 20 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.",
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+ "metadata_modified": "2020-11-10T21:37:16.959633",
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+ "notes": "For the 2010 Census, subMCDs only exist in Puerto Rico. In Puerto Rico the subMCDs are termed subbarrios and are legally defined subdivisions of the minor civil division (MCD) named barrios-pueblo and barrios. The boundaries of the subbarrios are as of January 1, 2010 and were provided to the Census Bureau by the Puerto Rico Planning Board.",
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+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
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+ "type": "harvest",
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+ "metadata_created": "2020-11-10T17:47:18.835332",
+ "metadata_modified": "2020-11-10T22:06:26.823376",
+ "name": "2016-cbsa",
+ "notes": "Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urbanized areas of 50,000 or more population; and Micropolitan Statistical Areas, based on urban clusters of at least 10,000 population but less than 50,000 population\r\n The CBSAs boundaries are those defined by OMB based on the 2010 Census and published in 2013.\r\n ",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2016_cbsa",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/cbsa/",
+ "resources": [],
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+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ "metadata_created": "2020-11-10T17:55:46.087552",
+ "metadata_modified": "2020-11-10T22:17:07.454627",
+ "name": "2017-cd115-5",
+ "notes": "Congressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_cd115_5",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/cd115_5/",
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+ "metadata_created": "2020-11-10T18:05:59.743691",
+ "metadata_modified": "2020-11-10T22:23:42.486059",
+ "name": "2017-necta-500kml",
+ "notes": "In New England (Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont), the Office of Management and Budget (OMB) has defined an alternative county subdivision (generally cities and towns) based definition of Core Based Statistical Areas (CBSAs) known as New England City and Town Areas (NECTAs). NECTAs are defined using the same criteria as Metropolitan Statistical Areas and Micropolitan Statistical Areas and are identified as either metropolitan or micropolitan, based, respectively, on the presence of either an urban area of 50,000 or more population or an urban cluster of at least 10,000 and less than 50,000 population. A NECTA containing a single core urban area with a population of at least 2.5 million may be subdivided to form smaller groupings of cities and towns referred to as NECTA Divisions. The generalized boundaries in this file are based on those defined by OMB based on the 2010 Census,published in 2013, and updated in 2015.",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_necta_500kml",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/necta_500kml/",
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+ "tags": [],
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+ "relationships_as_object": []
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_csa_20m.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T15:33:33.657974",
+ "metadata_modified": "2020-11-10T20:21:58.622902",
+ "name": "2014combined-statistical-are",
+ "notes": "Combined Statistical Area",
+ "organization": {
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+ "name": "census-gov",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "approval_status": "approved",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014Combined Statistical Are",
+ "type": "harvest",
+ "url": "http://www2.census.gov/geo/tiger/GENZ2013/cb_2013_us_cbsa_20m.zip",
+ "resources": [],
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+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/ParentFiles/SeriesCollection_tl_2017_scsd.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T18:24:22.944483",
+ "metadata_modified": "2020-11-10T22:33:30.412986",
+ "name": "2017-scsd",
+ "notes": "School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. ",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2017_scsd",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/scsd/",
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+ "metadata_created": "2020-11-10T18:10:20.860723",
+ "metadata_modified": "2020-11-10T22:28:50.719272",
+ "name": "2017-aitsn",
+ "notes": "\r\n American Indian tribal subdivisions are administrative subdivisions of federally recognized American Indian reservations/off-reservation trust lands or Oklahoma tribal statistical areas (OTSAs). These entities are internal units of self-government and/or administration that serve social, cultural, and/or economic purposes for the American Indian tribe or tribes on the reservations/off-reservation trust lands or OTSAs. The Census Bureau obtains the boundary and attribute information for tribal subdivisions on federally recognized American Indian reservations and off-reservation trust lands from federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey (BAS). For the 2010 Census, the boundaries for tribal subdivisions on OTSAs were also obtained from federally recognized tribal governments through the Tribal Statistical Areas Program (TSAP). Note that tribal subdivisions do not exist on all reservations/off-reservation trust lands or OTSAs, rather only where they were submitted to the Census Bureau by the federally recognized tribal government for that area.\r\n\r\n The boundaries for American Indian tribal subdivisions are as of January 1, 2017, as reported by the federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey (BAS). \r\n\r\n The boundaries for tribal subdivisions on OTSAs are those reported as of January 1, 2010 through TSAP.",
+ "organization": {
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+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_aitsn",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/aitsn/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/ISOParent/KML/SeriesCollection_kml_2014_concity_500k-try3.kml.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/ISOParent/KML/SeriesCollection_kml_2014_concity_500k-try3.kml.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
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+ "metadata_created": "2020-11-10T16:54:07.406963",
+ "metadata_modified": "2020-11-10T21:39:14.485983",
+ "name": "2014-nation-concity-500k-try3",
+ "notes": "concity are important",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014_nation_concity_500k_try3",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/concity_500k_try3/",
+ "resources": [],
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "name": "2016-cnecta",
+ "notes": "Combined New England City and Town Areas (CNECTA) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent New England City and Town Areas (NECTA) that have significant employment interchanges. The NECTAs that combine to create a CNECTA retain separate identities within the larger combined statistical area. Because CNECTAs represent groupings of NECTAs, they should not be ranked or compared with individual NECTAs. \r\n\r\nThe CNECTA boundaries are those defined by OMB based on the 2010 Census and published in 2013.\r\n ",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "is_organization": true,
+ "approval_status": "approved",
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+ "private": false,
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+ "source_type": "waf",
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+ "type": "harvest",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_county.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_modified": "2020-11-10T20:31:32.466338",
+ "name": "2014-current-county-and-equivalent",
+ "notes": "The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. \r\n\r\nThe boundaries for counties and equivalent entities are mostly as of January 1, 2013, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS). However, some changes made after January 2013, including the addition and deletion of counties, are included.\r\n",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014 Current County and Equivalent",
+ "type": "harvest",
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+ "metadata_created": "2020-11-10T17:49:04.550962",
+ "metadata_modified": "2020-11-10T22:08:41.787978",
+ "name": "2016-ttract",
+ "notes": "A tribal census tract is a relatively permanent statistical subdivision of a federally recognized American Indian reservation and/or off-reservation trust land, delineated by the American Indian tribal government and/or the Census Bureau for the purpose of presenting demographic data. For the 2010 Census, tribal census tracts are defined independently of the standard county-based census tract delineation. For federally recognized American Indian Tribes with reservations and/or off-reservation trust lands with a population less than 2,400, a single tribal census tract is defined. Qualifying areas with a population greater than 2,400 could define additional tribal census tracts within their area. The tribal census tract codes for the 2010 Census are six characters long with a leading \"T\" alphabetic character followed by a five-digit numeric code, for example, T01000, which translates as tribal census tract 10. Tribal block groups nest within tribal census tracts. Since individual tabulation blocks are defined within the standard State-county-census tract geographic hierarchy, a tribal census tract can contain seemingly duplicate block numbers, thus tribal census tracts cannot be used to uniquely identify census tabulation blocks for the 2010 Census. \r\n\r\n The boundaries of tribal census tracts are those delineated through the Tribal Statistical Areas Program (TSAP) for the 2010 Census.\r\n",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
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+ "source_type": "waf",
+ "state": "active",
+ "title": "2016_ttract",
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+ "metadata_created": "2020-11-10T16:53:07.777139",
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+ "name": "2014-kml-aiannh-500k",
+ "notes": "he American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas cartographic boundary file includes generalized versions of the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). ",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2014_kml_aiannh_500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/aiannh_500k/",
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+ "metadata_created": "2020-11-10T17:48:22.214094",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "notes": "After each decennial census, the Census Bureau delineates Public Use Microdata Areas (PUMAs) for the tabulation and dissemination of decennial census Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) PUMS data, and ACS period estimates.",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/SeriesInfoFiles/SeriesCollection_tl_2015_place.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "name": "2015tigerplace",
+ "notes": " An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population.",
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+ "notes": "The records in this file allow users to map the parts of the 114th Congressional Districts that overlap a particular county",
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+ "notes": ". SLDU stands for State Legislative District Upper Chamber. State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures",
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+ "metadata_modified": "2020-11-10T22:41:58.462951",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2014_kml_cd114_20m",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/cd114_20m/",
+ "resources": [],
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+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_zcta510.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_zcta510.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T15:53:48.236226",
+ "metadata_modified": "2020-11-10T20:34:51.951981",
+ "name": "2014-2010-census-5-digit-zip-code-tabulation-area-zcta5",
+ "notes": "ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. The Census Bureau delineates ZCTA boundaries for the United States, Puerto Rico, American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands once each decade following the decennial census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery.The Census Bureau uses tabulation blocks as the basis for defining each ZCTA. Tabulation blocks are assigned to a ZCTA based on the most frequently occurring ZIP Code for the addresses contained within that block. The most frequently occurring ZIP Code also becomes the five-digit numeric code of the ZCTA. These codes may contain leading zeros. Blocks that do not contain addresses but are surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA. Because the Census Bureau only uses the most frequently occurring ZIP Code to assign blocks, a ZCTA may not exist for every USPS ZIP Code. Some ZIP Codes may not have a matching ZCTA because too few addresses were associated with the specific ZIP Code or the ZIP Code was not the most frequently occurring ZIP Code within any of the blocks where it exists. The ZCTA boundaries in this release are those delineated following the 2010 Census. \r\n ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014 2010 Census 5-Digit ZIP Code Tabulation Area (ZCTA5)",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/zcta510/",
+ "resources": [],
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+ "frequency": "MANUAL",
+ "id": "e9a868e2-050f-4b43-9785-ca6967bc032a",
+ "metadata_created": "2020-11-10T18:07:19.496252",
+ "metadata_modified": "2020-11-10T22:25:21.102032",
+ "name": "2017-region-20kml",
+ "notes": "Regions are four groupings of states (Northeast, South, Midwest, and West) established by the Census Bureau in 1942 for the presentation of census data.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_region_20kml",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/region_20kml/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
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+ "id": "e009bc21-4503-4117-a6a4-414a2ccfae44",
+ "metadata_created": "2021-10-12T23:00:11.614614",
+ "metadata_modified": "2021-10-12T23:00:11.614622",
+ "name": "2020-elsd",
+ "notes": "",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2020 ELSD",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Collections/2020/elsd/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "e4995a49-ef67-445d-a1eb-c02ece3f5a0a",
+ "metadata_created": "2020-11-10T18:07:33.958592",
+ "metadata_modified": "2020-11-10T22:25:39.220580",
+ "name": "2017-region-500kml",
+ "notes": "Regions are four groupings of states (Northeast, South, Midwest, and West) established by the Census Bureau in 1942 for the presentation of census data.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_region_500kml",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/region_500kml/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "f617b138-c2e0-4347-bf53-28f29d12ee1f",
+ "metadata_created": "2020-11-10T18:14:01.132758",
+ "metadata_modified": "2020-11-10T22:33:21.375107",
+ "name": "2017-state",
+ "notes": "\r\n\r\nStates and equivalent entities are the primary governmental divisions of the United States. In addition to the fifty States, the Census Bureau treats the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) as the statistical equivalents of States for the purpose of data presentation.\r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_state",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/state/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "e4eae61c-3bcd-4a91-8d06-ecc54cef36fc",
+ "metadata_created": "2020-11-10T18:04:25.204278",
+ "metadata_modified": "2020-11-10T22:21:46.768026",
+ "name": "2017-division-20",
+ "notes": "Divisions are groupings of states within a census geographic region, established by the Census Bureau for the presentation of census data. The current nine divisions (East North Central, East South Central, Middle Atlantic, Mountain, New England, Pacific, South Atlantic, West North Central, and West South Central) are intended to represent relatively homogeneous areas that are subdivisions of the four census geographic regions.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_division_20",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/division_20/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/ISOParent/SeriesCollection_cb_2015_county_within_ua_500k.kml.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/ISOParent/SeriesCollection_cb_2015_county_within_ua_500k.kml.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "dccd1870-2a91-4dec-b0d3-5ff7f968a1c7",
+ "metadata_created": "2020-11-10T17:45:29.661255",
+ "metadata_modified": "2020-11-10T22:04:11.247971",
+ "name": "2016-kml-county-within-ua-500",
+ "notes": "After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the \"urban footprint.\" There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes.\r\n
\r\nThe primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are\r\n treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and\r\n each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as\r\n equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa,\r\n Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the\r\n United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities.\r\n
\r\n The boundaries for counties and equivalent entities are as of January 1, 2010.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2016_kml_county_within_ua_500",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/kml_county_within_ua_500/",
+ "resources": [],
+ "tags": [],
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+ "relationships_as_subject": [],
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+ {
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "65e65326-5bc3-4663-86af-620759593678",
+ "metadata_created": "2020-11-10T18:35:41.552918",
+ "metadata_modified": "2021-03-25T19:30:04.829549",
+ "name": "2019-addrfeat",
+ "notes": "The Address Ranges Feature Shapefile (ADDRFEAT.dbf) contains the geospatial edge geometry and attributes of all unsuppressed address ranges for a county or county equivalent area. The term \"address range\" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. Single-address address ranges have been suppressed to maintain the confidentiality of the addresses they describe. Multiple coincident address range feature edge records are represented in the shapefile if more than one left or right address ranges are associated to the edge. The ADDRFEAT shapefile contains a record for each address range to street name combination. Address range associated to more than one street name are also represented by multiple coincident address range feature edge records. Note that the ADDRFEAT shapefile includes all unsuppressed address ranges compared to the All Lines Shapefile (EDGES.shp) which only includes the most inclusive address range associated with each side of a street edge. The TIGER/Line shapefile contain potential address ranges, not individual addresses. The address ranges in the TIGER/Line Files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019_addrfeat",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Tiger2019/addrfeat/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_featnames.dbf.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_featnames.dbf.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "0fe033a0-d34b-4bc1-ab3b-de922f57ec74",
+ "metadata_created": "2020-11-10T14:59:45.569320",
+ "metadata_modified": "2020-11-10T20:04:58.774221",
+ "name": "current-feature-names-relationship-file",
+ "notes": "The Feature Names Relationship File (FEATNAMES.dbf) contains a record for each feature name and any attributes associated with it. Each feature name can be linked to the corresponding edges that make up that feature in the All Lines Shapefile (EDGES.shp), where applicable to the corresponding address range or ranges in the Address Ranges Relationship File (ADDR.dbf), or to both files. Although this file includes feature names for all linear features, not just road features, the primary purpose of this relationship file is to identify all street names associated with each address range. An edge can have several feature names; an address range located on an edge can be associated with one or any combination of the available feature names (an address range can be linked to multiple feature names). The address range is identified by the address range identifier (ARID) attribute, which can be used to link to the Address Ranges Relationship File (ADDR.dbf). The linear feature is identified by the linear feature identifier (LINEARID) attribute, which can be used to relate the address range back to the name attributes of the feature in the Feature Names Relationship File or to the feature record in the Primary Roads, Primary and Secondary Roads, or All Roads Shapefiles. The edge to which a feature name applies can be determined by linking the feature name record to the All Lines Shapefile (EDGES.shp) using the permanent edge identifier (TLID) attribute. The address range identifier(s) (ARID) for a specific linear feature can be found by using the linear feature identifier (LINEARID) from the Feature Names Relationship File (FEATNAMES.dbf) through the Address Range / Feature Name Relationship File (ADDRFN.dbf).",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Current Feature Names Relationship File",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/featnames/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_region_500k.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_region_500k.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "1f6ed25b-59a4-45c1-9e6d-fad0f07bc2c3",
+ "metadata_created": "2020-11-10T15:35:06.582629",
+ "metadata_modified": "2020-11-10T20:24:13.657291",
+ "name": "2014500k",
+ "notes": "Region for United States, 1:500,000",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/region_500k/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/ParentFiles/SeriesCollection_cb_2016_place_500k.kml.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/ParentFiles/SeriesCollection_cb_2016_place_500k.kml.iso.xml\", \"private_datasets\": \"False\"}",
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+ "metadata_created": "2020-11-10T18:06:14.336401",
+ "metadata_modified": "2020-11-10T22:24:00.375659",
+ "name": "2017-place-500kml",
+ "notes": "The cartographic boundary files include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population.\r\n\r\nThe boundaries of most incorporated places in this shapefile are as of January 1, 2016, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
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+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2017_place_500kml",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/place_500kml/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/ISOParent/Cart/SeriesCollection_cb_2014_tract_500k.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/ISOParent/Cart/SeriesCollection_cb_2014_tract_500k.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
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+ "metadata_created": "2020-11-10T16:52:48.267061",
+ "metadata_modified": "2020-11-10T21:37:25.962403",
+ "name": "2014-tract-500k",
+ "notes": "Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014_tract_500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/tract_500k/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "1ff98810-6305-40e2-b2b9-382722e41d6f",
+ "metadata_created": "2020-11-10T17:41:24.782587",
+ "metadata_modified": "2020-11-10T22:02:58.881596",
+ "name": "kml-division-500",
+ "notes": "Divisions are groupings of states within a census geographic region, established by the Census Bureau for the presentation of census data. The current nine divisions (East North Central, East South Central, Middle Atlantic, Mountain, New England, Pacific, South Atlantic, West North Central, and West South Central) are intended to represent relatively homogeneous areas that are subdivisions of the four census geographic regions.\r\n ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "kml_division_500",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/kml_division_500/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Tiger2019/SeriesInfo/SeriesCollection_tl_2019_arealm.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Tiger2019/SeriesInfo/SeriesCollection_tl_2019_arealm.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "bf132c7d-2f36-404b-9ea1-2b6d4d91f160",
+ "metadata_created": "2020-11-10T18:36:14.056883",
+ "metadata_modified": "2020-11-10T22:45:29.686977",
+ "name": "2019-arealm",
+ "notes": "\r\n\r\n\r\nThe Census Bureau includes landmarks in the MTDB for locating special features and to help enumerators during field operations. Some of the more common landmark types include area landmarks such as airports, cemeteries, parks, schools, and churches and other religious institutions. The Census Bureau added landmark features to MTDB on an as-needed basis and made no attempt to ensure that all instances of a particular feature were included. The presence or absence of a landmark such as a hospital or prison does not mean that the living quarters associated with that landmark were geocoded to that census tabulation block or excluded from the census enumeration. The Area Landmark Shapefile does not include military installations or water bodies because they each appear in their own separate shapefiles, MIL.shp and AREAWATER.shp respectively. \r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019_arealm",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Tiger2019/arealm/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://localhost",
+ "config": "{\"collection_metadata_url\": \"http://localhost\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "40547e28-c9e1-4c14-8f10-5f32f7d99cb2",
+ "metadata_created": "2020-11-10T17:51:33.565997",
+ "metadata_modified": "2020-11-10T22:11:50.201230",
+ "name": "2016-roads",
+ "notes": "The All Roads Shapefile includes all features within the MTDB Super Class \"Road/Path Features\" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with \"S\". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways. \r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2016_roads",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/roads/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_facesal.dbf.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_facesal.dbf.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T14:17:16.234974",
+ "metadata_modified": "2020-11-10T20:04:38.324273",
+ "name": "current-topological-faces-area-landmark-relationship-file",
+ "notes": "The Topological Faces / Area Landmark Relationship File (FACESAL.dbf) contains a record for each face / area landmark relationship. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The face to which a record in the Topological Faces / Area Landmark Relationship File (FACESAL.dbf) applies can be determined by linking to the Topological Faces Shapefile (FACES.shp) on the permanent topological face identifier (TFID) attribute. The area landmark to which a record in the Topological Faces / Area Landmark Relationship File (FACESAL.dbf) applies can be determined by linking to the Area Landmark Shapefile (AREALM.shp) on the area landmark identifier (AREAID) attribute. A face may be part of multiple area landmarks. An area landmark may consist of multiple faces.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Current Topological Faces-Area Landmark Relationship File",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/facesal/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "4cbb81eb-03e6-4136-98c2-c9d52b13d8a4",
+ "metadata_created": "2020-11-10T18:04:46.753827",
+ "metadata_modified": "2020-11-10T22:22:13.247327",
+ "name": "2017-division-500",
+ "notes": " Divisions are groupings of states within a census geographic region, established by the Census Bureau for the presentation of census data. The current nine divisions (East North Central, East South Central, Middle Atlantic, Mountain, New England, Pacific, South Atlantic, West North Central, and West South Central) are intended to represent relatively homogeneous areas that are subdivisions of the four census geographic regions.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_division_500",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/division_500/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/ParentFiles/SeriesCollection_tl_2017_facesal.dbf.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/ParentFiles/SeriesCollection_tl_2017_facesal.dbf.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "e0aa3e0d-75e8-4e57-b660-b8a3f3f746cd",
+ "metadata_created": "2020-11-10T18:12:25.297247",
+ "metadata_modified": "2020-11-10T22:31:24.414111",
+ "name": "2017-facesal",
+ "notes": "\r\n\r\nThe Topological Faces / Area Landmark Relationship File (FACESAL.dbf) contains a record for each face / area landmark relationship. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2017_facesal",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/facesal/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_state_20m.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_state_20m.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "533a7a14-9adc-4c33-8818-d19fe77afd57",
+ "metadata_created": "2020-11-10T15:35:30.934491",
+ "metadata_modified": "2020-11-10T20:24:49.697865",
+ "name": "2014state-20m",
+ "notes": "State for United States, 1:20,000,000",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014state_20m",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/state_20m/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "b53e30ca-b633-4cdb-8f9f-4a191ea91b7e",
+ "metadata_created": "2020-11-10T17:41:34.164988",
+ "metadata_modified": "2020-11-10T22:03:08.023920",
+ "name": "2016-kml-nation",
+ "notes": "This file depicts the shape of the United States clipped back to a generalized coastline. This nation layer covers the extent of the fifty states, the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) when scale appropriate.\r\n ",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
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+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2016_kml_nation",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/kml_nation_20/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_necta.shp.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_necta.shp.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T14:10:39.226839",
+ "metadata_modified": "2020-11-10T19:54:59.846371",
+ "name": "census-tiger-2012-new-england-city-and-town-area",
+ "notes": "",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Census TIGER 2012 New England City and Town Area",
+ "type": "harvest",
+ "url": "http://www2.census.gov/geo/datadotgov/necta/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/ParentFiles/SeriesCollection_tl_2017_addrfn.dbf.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/ParentFiles/SeriesCollection_tl_2017_addrfn.dbf.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T18:09:58.209244",
+ "metadata_modified": "2020-11-10T22:28:22.990851",
+ "name": "2017-addrfn",
+ "notes": "\r\n\r\n\r\nThe Address Range / Feature Name Relationship File (ADDRFN.dbf) contains a record for each address range / linear feature name relationship. The purpose of this relationship file is to identify all street names associated with each address range. An edge can have several feature names; an address range located on an edge can be associated with one or any combination of the available feature names (an address range can be linked to multiple feature names). ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
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+ "title": "U.S. Census Bureau, Department of Commerce",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2017_addrfn",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/addrfn/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_cd114.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_cd114.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T15:51:14.439034",
+ "metadata_modified": "2020-11-10T20:31:05.468683",
+ "name": "2014-114th-congressional-district",
+ "notes": " Congressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the States based on census population counts, each State is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a State as practicable. The 114th Congress is seated from January 2015 to 2017.",
+ "organization": {
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014 114th Congressional District",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/cd114/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_arealm.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_arealm.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "id": "775e540d-5ba9-4541-a499-c1591daf523d",
+ "metadata_created": "2020-11-10T18:28:06.190471",
+ "metadata_modified": "2020-11-10T22:37:03.002607",
+ "name": "2018-arealm",
+ "notes": "The Census Bureau includes landmarks in the MTDB for locating special features and to help enumerators during field operations. Some of the more common landmark types include area landmarks such as airports, cemeteries, parks, schools, and churches and other religious institutions. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2018_arealm",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/arealm/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "dc90a938-4bbb-4b78-82e7-bcb9b2225cb7",
+ "metadata_created": "2020-11-10T18:24:47.798405",
+ "metadata_modified": "2020-11-10T22:33:48.543717",
+ "name": "2017-subbarrio",
+ "notes": "For the 2010 Census, subMCDs only exist in Puerto Rico. In Puerto Rico the subMCDs are termed subbarrios and are legally defined subdivisions of the minor civil division (MCD) named barrios-pueblo and barrios. The boundaries of the subbarrios are as of January 1, 2010 and were provided to the Census Bureau by the Puerto Rico Planning Board.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_subbarrio",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/subbarrio/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "cee6a2af-b94e-4607-8bd2-a513b52926cd",
+ "metadata_created": "2020-11-10T18:49:35.627897",
+ "metadata_modified": "2020-11-10T22:59:50.735758",
+ "name": "2019cb-ua10",
+ "notes": " After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the \"urban footprint.\" There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes.",
+ "organization": {
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+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2019cb_ua10",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/ua10/",
+ "resources": [],
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+ "frequency": "MANUAL",
+ "id": "4257fd9f-a936-4608-b4e0-c61d68af2d29",
+ "metadata_created": "2020-11-10T18:49:12.550397",
+ "metadata_modified": "2020-11-10T22:59:23.215350",
+ "name": "2019cb-subbariokml",
+ "notes": " For the 2010 Census, subMCDs only exist in Puerto Rico. In Puerto Rico the subMCDs are termed subbarrios and are legally defined subdivisions of the minor civil division (MCD) named barrios-pueblo and barrios. The boundaries of the subbarrios are as of January 1, 2010 and were provided to the Census Bureau by the Puerto Rico Planning Board.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2019cb_subbarioKML",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/subbarrio_kml/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ "frequency": "MANUAL",
+ "id": "ef99d717-de7c-4273-83df-1b8451326fce",
+ "metadata_created": "2021-01-14T22:33:48.883875",
+ "metadata_modified": "2021-01-14T22:33:48.883882",
+ "name": "2016_facesal",
+ "notes": "The Topological Faces / Area Landmark Relationship File (FACESAL.dbf) contains a record for each face / area landmark relationship. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The face to which a record in the Topological Faces / Area Landmark Relationship File (FACESAL.dbf) applies can be determined by linking to the Topological Faces Shapefile (FACES.shp) on the permanent topological face identifier (TFID) attribute. The area landmark to which a record in the Topological Faces / Area Landmark Relationship File (FACESAL.dbf) applies can be determined by linking to the Area Landmark Shapefile (AREALM.shp) on the area landmark identifier (AREAID) attribute. A face may be part of multiple area landmarks. An area landmark may consist of multiple faces. \r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2016_facesal",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/facesal/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/seriesinfo2019bg.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/seriesinfo2019bg.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "401ce1ee-65ba-4e2b-9811-f82b9367afdc",
+ "metadata_created": "2020-11-10T18:43:14.244649",
+ "metadata_modified": "2020-11-10T22:52:57.495567",
+ "name": "2019cd-bg",
+ "notes": "he 2019 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019cd_bg",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/bg/",
+ "resources": [],
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+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "a9ecf076-1615-40d5-967b-dd2b15a7065e",
+ "metadata_created": "2020-11-10T18:04:03.601533",
+ "metadata_modified": "2020-11-10T22:21:19.534613",
+ "name": "2017-csa-500kml",
+ "notes": "Combined Statistical Areas (CSAs) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent Core Based Statistical Areas (CBSAs) that have significant employment interchanges. The CBSAs that combine to create a CSA retain separate identities within the larger CSA. Because CSAs represent groupings of CBSAs, they should not be ranked or compared with individual CBSAs. The generalized boundaries in this file are based on those defined by OMB based on the 2010 Census, published in 2013, and updated in 2015.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_csa_500kml",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/csa_500kml/",
+ "resources": [],
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+ "metadata_modified": "2020-11-10T22:02:40.965098",
+ "name": "kml-division-5",
+ "notes": "Divisions are groupings of states within a census geographic region, established by the Census Bureau for the presentation of census data. The current nine divisions (East North Central, East South Central, Middle Atlantic, Mountain, New England, Pacific, South Atlantic, West North Central, and West South Central) are intended to represent relatively homogeneous areas that are subdivisions of the four census geographic regions.",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "name": "2017-cnecta-500kml",
+ "notes": "Combined New England City and Town Areas (CNECTA) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent New England City and Town Areas (NECTA) that have significant employment interchanges. The NECTAs that combine to create a CNECTA retain separate identities within the larger combined statistical area.",
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+ "metadata_modified": "2020-11-10T22:23:51.407686",
+ "name": "2017-place-500",
+ "notes": "The cartographic boundary files include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. ",
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+ "metadata_modified": "2020-11-10T22:19:39.597862",
+ "name": "2017-county-within-ua-500",
+ "notes": "he records in this file allow users to map the parts of Urban Areas that overlap a particular county.\r\n\r\nAfter each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses.",
+ "organization": {
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+ "metadata_modified": "2020-11-10T20:33:12.190443",
+ "name": "2014-current-secondary-school-districts",
+ "notes": "School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from State officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to States and school districts. \r\n\r\nTIGER/Line Shapefiles include separate shapefiles for elementary, secondary and unified school districts. The school district boundaries are those in effect for the 2013-2014 school year.\r\n",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
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+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014 Current Secondary School Districts",
+ "type": "harvest",
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+ "metadata_created": "2020-11-10T16:51:22.794774",
+ "metadata_modified": "2020-11-10T21:35:29.071410",
+ "name": "20",
+ "notes": "\r\nThis file depicts the shape of the United States clipped back to a generalized coastline. This Nation layer covers the extent of the fifty States, the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) when scale appropriate.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "is_organization": true,
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+ "type": "harvest",
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+ "metadata_created": "2020-11-10T16:46:11.672052",
+ "metadata_modified": "2020-11-10T21:31:33.918994",
+ "name": "2014-cd114-500k",
+ "notes": "Congressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the States based on census population counts, each State is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a State as practicable. The 114th Congress is seated from January 2015 to 2017. The cartographic boundary files for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts are provided to the Census Bureau through the Redistricting Data Program (RDP).",
+ "organization": {
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "metadata_created": "2020-11-10T17:47:39.891541",
+ "metadata_modified": "2020-11-10T22:06:53.746302",
+ "name": "2016-county",
+ "notes": "The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. \r\n\r\nThe boundaries for counties and equivalent entities are as of January 1, 2015, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).\r\n ",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/county/",
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+ "metadata_created": "2020-11-10T16:50:56.432643",
+ "metadata_modified": "2020-11-10T21:34:53.141081",
+ "name": "2014-division-20m",
+ "notes": "Divisions are groupings of States within a census geographic region, established by the Census Bureau for the presentation of census data. The current nine divisions (East North Central, East South Central, Middle Atlantic, Mountain, New England, Pacific, South Atlantic, West North Central, and West South Central) are intended to represent relatively homogeneous areas that are subdivisions of the four census geographic regions.",
+ "organization": {
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
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+ "title": "2014_division_20m",
+ "type": "harvest",
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+ "notes": "County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data.",
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+ "notes": "Congressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives.",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_division_500k.xml\", \"private_datasets\": \"True\"}",
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+ "extras": [
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+ "metadata_created": "2020-11-10T16:58:04.865366",
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+ "name": "2015tigeraitsn",
+ "notes": "American Indian tribal subdivisions are administrative subdivisions of federally recognized American Indian reservations/off-reservation trust lands or Oklahoma tribal statistical areas (OTSAs).",
+ "organization": {
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+ "metadata_created": "2020-11-10T18:29:04.512523",
+ "metadata_modified": "2020-11-10T22:38:14.137063",
+ "name": "2018-coastline",
+ "notes": "\r\n\r\n\r\nThe Coastline Shapefile includes all features within the MTDB Class \"Coastline\" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB is L4150. ",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "private": false,
+ "private_datasets": "False",
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+ "title": "2018_coastline",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/coastline/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_cd113_5m.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_cd113_5m.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "18e09491-5232-47e1-9ac7-dddca3798c21",
+ "metadata_created": "2020-11-10T15:31:03.858095",
+ "metadata_modified": "2020-11-10T20:19:35.970568",
+ "name": "2014cd1135m",
+ "notes": "State-Congressional District (113th) for United States, 1:5,000,000",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014cd1135m",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/cd113_5m/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2012_cbsaec.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2012_cbsaec.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "977eb978-ac78-4eab-8d63-a88ae5ba41ee",
+ "metadata_created": "2020-11-10T15:36:45.553156",
+ "metadata_modified": "2020-11-10T20:26:37.201971",
+ "name": "2014-economic-census-metropolitan-statistical-area-micropolitan-statistical-area",
+ "notes": "Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urbanized areas of 50,000 or more population; and Micropolitan Statistical Areas, based on urban clusters of at least 10,000 population but less than 50,000 population. \r\n\r\nEconomic Census CBSAs are similar to current CBSAs, which are those that the OMB announced and published in February 2013.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014 Economic Census Metropolitan Statistical Area/Micropolitan Statistical Area",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/cbsaec/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "9d792d07-e122-4c73-bca5-a52891f144e1",
+ "metadata_created": "2020-11-10T16:52:35.040478",
+ "metadata_modified": "2020-11-10T21:37:07.844761",
+ "name": "2014-state-5m",
+ "notes": "States and equivalent entities are the primary governmental divisions of the United States. In addition to the fifty States, the Census Bureau treats the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) as the statistical equivalents of States for the purpose of data presentation.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2014_state_5m",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/state_5m/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_addr.dbf.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/ParentFiles/SeriesCollection_tl_2014_addr.dbf.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "38b38d3d-1180-49cd-8ba4-2240cd15a828",
+ "metadata_created": "2020-11-10T15:36:39.527379",
+ "metadata_modified": "2020-11-10T20:26:28.066044",
+ "name": "2014addr",
+ "notes": "The Address Ranges Relationship File (ADDR.dbf) contains the attributes of each address range.Each address range applies to a single edge and has a unique address range identifier (ARID) value. The edge to which an address range applies can be determined by linking the address range to the All Lines Shapefile (EDGES.shp) using the permanent topological edge identifier (TLID) attribute. Multiple address ranges can apply to the same edge since an edge can have multiple address ranges. Note that the most inclusive address range associated with each side of a street edge already appears in the All Lines Shapefile (EDGES.shp). The TIGER/Line Files contain potential address\r\n ranges, not individual addresses. The term \"address range\" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. The address ranges in the TIGER/Line Files are potential ranges that include the full range of possiblestructure numbers even though the actual structures may not exist.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014addr",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/addr/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ }
+ ],
+ "sort": "views_recent desc",
+ "search_facets": {}
+ }
+}
diff --git a/tests/harvest-sources/dcatus/all_harvest_sources/4.json b/tests/harvest-sources/dcatus/all_harvest_sources/4.json
new file mode 100644
index 00000000..1781a3f6
--- /dev/null
+++ b/tests/harvest-sources/dcatus/all_harvest_sources/4.json
@@ -0,0 +1,4100 @@
+{
+ "help": "https://catalog.data.gov/api/3/action/help_show?name=package_search",
+ "success": true,
+ "result": {
+ "count": 916,
+ "facets": {},
+ "results": [
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/ISOParent/SeriesCollection_cb_2015_cousub_500k.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/ISOParent/SeriesCollection_cb_2015_cousub_500k.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "cf20cb14-d6a9-4df8-81cc-f55dee057d9e",
+ "metadata_created": "2020-11-10T17:36:39.768618",
+ "metadata_modified": "2020-11-10T21:57:26.360415",
+ "name": "2016-cousub-500k",
+ "notes": "County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas is covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2013, as reported through the Census Bureau's Boundary and Annexation Survey (BAS).",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2016_cousub_500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/cousub_500/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_puma10.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_puma10.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "f0b3f18e-9b30-4819-91c2-efe6650d0cb6",
+ "metadata_created": "2020-11-10T15:06:12.391168",
+ "metadata_modified": "2020-11-10T20:06:29.138045",
+ "name": "2010-census-public-use-microdata-area-state-based",
+ "notes": "After each decennial census, the Census Bureau delineates Public Use Microdata Areas (PUMAs) for the tabulation and dissemination of decennial census Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) PUMS data, and ACS period estimates. Nesting within states, or equivalent entities, PUMAs cover the entirety of the United States, Puerto Rico, Guam, and the U.S. Virgin Islands. PUMA delineations are subject to population, building block geography, geographic nesting, and contiguity criteria. Each PUMA is identified by a 5-character numeric census code that may contain leading zeros and a descriptive name.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2010 Census Public Use Microdata Area State-based",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/puma10/",
+ "extras": [
+ {
+ "key": "__category_tag_9a350fa9-bc49-43d4-8e77-270b9714976d",
+ "value": "[\"Pacific Islands\",\"American Samoa\"]"
+ }
+ ],
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/ParentFiles/SeriesCollection_tl_2017_concity.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/ParentFiles/SeriesCollection_tl_2017_concity.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "285c8181-6793-4014-8c3b-0dbd02625068",
+ "metadata_created": "2020-11-10T18:11:26.535824",
+ "metadata_modified": "2020-11-10T22:30:12.531321",
+ "name": "2017-concity",
+ "notes": "A consolidated city is a unit of local government for which the functions of an incorporated place and its county or minor civil division (MCD) have merged. This action results in both the primary incorporated place and the county or MCD continuing to exist as legal entities, even though the county or MCD performs few or no governmental functions and has few or no elected officials.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2017_concity",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/concity/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "99b74245-833e-48f7-9d5b-c5b21ccd5350",
+ "metadata_created": "2020-11-10T16:55:50.074544",
+ "metadata_modified": "2020-11-10T21:41:29.537449",
+ "name": "2014-kml-necta-500k",
+ "notes": "In New England (Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont), the Office of Management and Budget (OMB) has defined an alternative county subdivision (generally cities and towns) based definition of Core Based Statistical Areas (CBSAs) known as New England City and Town Areas (NECTAs).",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2014_kml_necta_500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/necta_500k/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_cd113_500k.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_cd113_500k.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "17a9d20a-089a-49e7-8334-c5894b8cd2de",
+ "metadata_created": "2020-11-10T15:30:57.885019",
+ "metadata_modified": "2020-11-10T20:19:26.936439",
+ "name": "2014cd113500k",
+ "notes": "State-Congressional District (113th) for United States, 1:500,000",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014cd113500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/cd113_500k/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "b79348f0-51e1-4976-8238-105a8106c78e",
+ "metadata_created": "2020-11-10T18:50:21.416180",
+ "metadata_modified": "2020-11-10T23:00:37.918980",
+ "name": "2019cb-zctakml",
+ "notes": "ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. The Census Bureau delineates ZCTA boundaries for the United States, Puerto Rico, American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands once each decade following the decennial census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery. The Census Bureau uses tabulation blocks as the basis for defining each ZCTA. Tabulation blocks are assigned to a ZCTA based on the most frequently occurring ZIP Code for the addresses contained within that block. The most frequently occurring ZIP Code also becomes the five-digit numeric code of the ZCTA. These codes may contain leading zeros. Blocks that do not contain addresses but are surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA. Because the Census Bureau only uses the most frequently occurring ZIP Code to assign blocks, a ZCTA may not exist for every USPS ZIP Code. Some ZIP Codes may not have a matching ZCTA because too few addresses were associated with the specific ZIP Code or the ZIP Code was not the most frequently occurring ZIP Code within any of the blocks where it exists. The generalized ZCTA boundaries in this file are based on those delineated following the 2010 Census.",
+ "organization": {
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+ "name": "census-gov",
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+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2019cb_zctaKML",
+ "type": "harvest",
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+ "metadata_created": "2020-11-10T18:11:11.994651",
+ "metadata_modified": "2020-11-10T22:29:54.627285",
+ "name": "2017-cnecta",
+ "notes": "\r\n\r\nCombined New England City and Town Areas (CNECTA) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent New England City and Town Areas (NECTA) that have significant employment interchanges. The NECTAs that combine to create a CNECTA retain separate identities within the larger combined statistical area. Because CNECTAs represent groupings of NECTAs, they should not be ranked or compared with individual NECTAs.\r\n\r\nBoundaries are those defined by OMB based on the 2010 Census, published in 2013, and updated in 2015.",
+ "organization": {
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+ "name": "census-gov",
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+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_cnecta",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/cnecta/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
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+ "metadata_created": "2020-11-10T17:49:18.581692",
+ "metadata_modified": "2020-11-10T22:08:59.764450",
+ "name": "2016-zcta510",
+ "notes": "ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. The Census Bureau delineates ZCTA boundaries for the United States, Puerto Rico, American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands once each decade following the decennial census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery.\r\n\r\nThe Census Bureau uses tabulation blocks as the basis for defining each ZCTA. Tabulation blocks are assigned to a ZCTA based on the most frequently occurring ZIP Code for the addresses contained within that block. The most frequently occurring ZIP Code also becomes the five-digit numeric code of the ZCTA. These codes may contain leading zeros.\r\n\r\nBlocks that do not contain addresses but are surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA. Because the Census Bureau only uses the most frequently occurring ZIP Code to assign blocks, a ZCTA may not exist for every USPS ZIP Code. Some ZIP Codes may not have a matching ZCTA because too few addresses were associated with the specific ZIP Code or the ZIP Code was not the most frequently occurring ZIP Code within any of the blocks where it exists. \r\n\r\nThe ZCTA boundaries in this release are those delineated following the 2010 Census. \r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2016_zcta510",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/zcta510/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
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+ {
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+ "metadata_created": "2020-11-10T20:14:31.075910",
+ "metadata_modified": "2021-08-02T19:59:10.210411",
+ "name": "ny-state-json",
+ "notes": "",
+ "organization": {
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+ "name": "state-of-new-york",
+ "title": "State of New York",
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+ "description": "",
+ "image_url": "",
+ "created": "2020-11-10T20:14:29.747011",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "dde3fc99-e074-41cf-a843-14aa9c777889",
+ "private": false,
+ "source_type": "datajson",
+ "state": "active",
+ "title": "NY State JSON",
+ "type": "harvest",
+ "url": "https://data.ny.gov/data.json?version=2",
+ "resources": [],
+ "tags": [],
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+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_faces.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "c1b07a9a-e118-42e2-a7a1-0bef427a1eb0",
+ "metadata_created": "2020-11-10T17:50:50.880845",
+ "metadata_modified": "2020-11-10T22:10:56.486055",
+ "name": "2016-faces",
+ "notes": "Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2010 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile. \r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2016_faces",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/faces/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "68901639-f17d-4785-9f92-e5f556849193",
+ "metadata_created": "2020-11-10T17:38:46.304475",
+ "metadata_modified": "2020-11-10T22:00:07.946566",
+ "name": "2016-kml-cd114-500",
+ "notes": "Congressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. The 114th Congress is seated from January 2015 to 2017. The cartographic boundary files for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts are provided to the Census Bureau through the Redistricting Data Program (RDP).\r\n ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2016_kml_cd114_500",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/kml_cd114_500/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "fc569f26-b2ac-41c7-8938-f654fef9d53d",
+ "metadata_created": "2020-11-10T18:03:49.168948",
+ "metadata_modified": "2020-11-10T22:21:01.554370",
+ "name": "2017-csa-20kml",
+ "notes": " Combined Statistical Areas (CSAs) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent Core Based Statistical Areas (CBSAs) that have significant employment interchanges. The CBSAs that combine to create a CSA retain separate identities within the larger CSA. Because CSAs represent groupings of CBSAs, they should not be ranked or compared with individual CBSAs.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_csa_20kml",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/csa_20kml/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_edges.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_edges.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "df28548c-2291-4dbd-abd7-9052a4722351",
+ "metadata_created": "2020-11-10T18:32:38.443071",
+ "metadata_modified": "2020-11-10T22:41:49.526577",
+ "name": "2018-edges",
+ "notes": "Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2018_edges",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/edges/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2013gz/SeriesCollection/SeriesCollection_cb_rd13_sldl_500k.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2013gz/SeriesCollection/SeriesCollection_cb_rd13_sldl_500k.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "31925c6a-3781-4442-93f7-8a38cb8e60bd",
+ "metadata_created": "2020-11-10T15:07:34.030844",
+ "metadata_modified": "2020-11-10T20:08:35.893737",
+ "name": "state-state-legislative-district-lower-chamber-1-500-00",
+ "notes": "The 2012 cartographic boundary shapefiles are simplified representations of selected geographic areas from the Census Bureau's MAF/TIGER geographic database. These boundary files are specifically designed for small-scale thematic mapping. When possible generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based shapefiles while others are available only as state-based files",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "State-State Legislative District (Lower Chamber) 1:500,00",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2013gz/sldl_500/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "252fac9c-49dc-4480-9220-b46ca09e2d2d",
+ "metadata_created": "2020-11-10T18:31:11.581000",
+ "metadata_modified": "2020-11-10T22:40:19.850419",
+ "name": "2018-subbarrio",
+ "notes": " In Puerto Rico the subMCDs are termed subbarrios and are legally defined subdivisions of the minor civil division (MCD) named barrios-pueblo and barrios. The boundaries of the subbarrios are as of January 1, 2010 and were provided to the Census Bureau by the Puerto Rico Planning Board.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2018_subbarrio",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/subbarrio/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "3e6425f1-82a5-4856-af59-563d28d07ed4",
+ "metadata_created": "2020-11-10T18:05:15.566210",
+ "metadata_modified": "2020-11-10T22:22:49.138417",
+ "name": "2017-nation-5",
+ "notes": "This file depicts the shape of the United States clipped back to a generalized coastline. This nation layer covers the extent of the fifty states, the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) when scale appropriate.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "U.S. Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "title": "2015TigerTract",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/SeriesInfoFiles/SeriesCollection_tl_2015_pointlm.shp.iso.xml\", \"private_datasets\": \"False\"}",
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+ "notes": "The Census Bureau includes landmarks in the MTDB for locating special features and to help enumerators during field operations.",
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+ "metadata_modified": "2020-11-10T21:41:11.424391",
+ "name": "2014-kml-nation-20m",
+ "notes": "This file depicts the shape of the United States clipped back to a generalized coastline.",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "metadata_created": "2020-11-10T17:35:21.977382",
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+ "name": "2016-cd114-20",
+ "notes": "Congressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. The 114th Congress is seated from January 2015 to 2017. The cartographic boundary files for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts are provided to the Census Bureau through the Redistricting Data Program (RDP).",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/ParentFiles/SeriesCollection_tl_2017_sldu.shp.iso.xml\", \"private_datasets\": \"False\"}",
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+ "metadata_created": "2020-11-10T18:25:21.718650",
+ "metadata_modified": "2020-11-10T22:34:24.398446",
+ "name": "2017-sldu",
+ "notes": "State Legislative Districts (SLDs) are the areas from which members are elected to State legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "title": "2017_sldu",
+ "type": "harvest",
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+ "metadata_created": "2020-11-10T18:39:01.092252",
+ "metadata_modified": "2020-11-10T22:48:29.517592",
+ "name": "2019-mil",
+ "notes": " In 2012, the Census Bureau obtained the inventory and boundaries of most military installations from the U.S. Department of Defense (DOD) for Air Force, Army, Marine, and Navy installations and from the U.S. Department of Homeland Security (DHS) for Coast Guard installations. \r\n\r\n\r\nThe military installation boundaries in this release represent the updates the Census Bureau made in 2012 in collaboration with DoD.\r\n",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
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+ "private": false,
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+ "title": "2019_mil",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Tiger2019/mil/",
+ "resources": [],
+ "tags": [],
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+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/seriesinfo2019bg.kml.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T18:43:22.243831",
+ "metadata_modified": "2020-11-10T22:53:06.577994",
+ "name": "2019cb-bgkml",
+ "notes": "Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. The generalized BG boundaries in this release are based on those that were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019cb_bgkml",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/bg_kml/",
+ "resources": [],
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+ "id": "062c2747-5802-4c83-a34f-a6c88fc1f3e7",
+ "metadata_created": "2020-11-10T16:58:51.843833",
+ "metadata_modified": "2020-11-10T21:45:32.625753",
+ "name": "2015tigercounty",
+ "notes": "The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas.",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2015TigerCounty",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/county/",
+ "resources": [],
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+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_rails.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_rails.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "id": "702bbcc8-cc91-4f51-a84d-69936cb5eaa7",
+ "metadata_created": "2020-11-10T15:06:18.203774",
+ "metadata_modified": "2020-11-10T20:06:38.142565",
+ "name": "rails-national-shapefile",
+ "notes": " The Rails Shapefile includes all features within the MTDB Super Class \"Rail Features\" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB tha begin with \"R\". This includes main lines such as spur lines, rail yards, mass transit rail lines such as carlines, streetcar track, monorail or other mass transit rail and special purpose rail lines such as cog rail lines, incline rail lines and trams.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Rails National Shapefile",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/rails/",
+ "resources": [],
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+ "id": "af107246-d7a9-42c4-9b96-b2120511744a",
+ "metadata_created": "2020-11-10T16:46:50.411096",
+ "metadata_modified": "2020-11-10T21:32:28.244434",
+ "name": "2014-county-within-cd114-500k",
+ "notes": "The records in this file allow users to map the parts of the 114th Congressional Districts that overlap a particular county.\r\n\r\nCongressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the States based on census population counts, each State is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a State as practicable. The 114th Congress is seated from January 2015 to 2017. The TIGER/Line shapefiles for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts are provided to the Census Bureau through the Redistricting Data Program (RDP).\r\n\r\nThe primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. \r\n\r\nThe boundaries for counties and equivalent entities are mostly as of January 1, 2013, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS). However, some changes made after January 2013, including the addition and deletion of counties, are included.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "US Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private_datasets": "False",
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+ "state": "active",
+ "title": "2017_necta",
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+ "metadata_created": "2020-11-10T18:29:24.627072",
+ "metadata_modified": "2020-11-10T22:38:32.322413",
+ "name": "2018-county",
+ "notes": "The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "US Census Bureau, Department of Commerce",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2018_county",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/county/",
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+ "metadata_created": "2021-01-14T22:27:51.995673",
+ "metadata_modified": "2021-01-14T22:27:51.995681",
+ "name": "2019_addrfn",
+ "notes": "The Address Range / Feature Name Relationship File (ADDRFN.dbf) contains a record for each address range / linear feature name relationship. The purpose of this relationship file is to identify all street names associated with each address range. An edge can have several feature names; an address range located on an edge can be associated with one or any combination of the available feature names (an address range can be linked to multiple feature names). The address range is identified by the address range identifier (ARID) attribute that can be used to link to the Address Ranges Relationship File (ADDR.dbf). The linear feature name is identified by the linear feature identifier (LINEARID) attribute that can be used to link to the Feature Names Relationship File (FEATNAMES.dbf).",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
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+ "state": "active",
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+ "metadata_created": "2020-11-10T17:30:06.027768",
+ "metadata_modified": "2020-11-10T21:50:03.444459",
+ "name": "2015tigerttract",
+ "notes": "A tribal census tract is a relatively permanent statistical subdivision of a federally recognized American Indian reservation and/or off-reservation trust land, delineated by the American Indian tribal government and/or the Census Bureau for the purpose of presenting demographic data",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2015TigerTtract",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/ttract/",
+ "resources": [],
+ "tags": [],
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+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ "frequency": "MANUAL",
+ "id": "8533c35e-67fd-489b-b97a-c22dc1e7602c",
+ "metadata_created": "2020-11-10T17:55:24.654791",
+ "metadata_modified": "2020-11-10T22:16:40.358617",
+ "name": "2017-cbsa-20kml",
+ "notes": "Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core.",
+ "organization": {
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2017_cbsa_20kml",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/cbsa_20kml/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
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+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_ttract.shp.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_ttract.shp.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T14:12:04.538311",
+ "metadata_modified": "2020-11-10T19:57:15.823000",
+ "name": "census-tiger-2012-tribal-tract",
+ "notes": "",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "US Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Census TIGER 2012 Tribal Tract",
+ "type": "harvest",
+ "url": "http://www2.census.gov/geo/datadotgov/ttract/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019sldu.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019sldu.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "c29b45ba-02f5-46ea-92fd-a19a26a6d014",
+ "metadata_created": "2020-11-10T18:48:33.780537",
+ "metadata_modified": "2020-11-10T22:58:38.222434",
+ "name": "2019cb-sldu",
+ "notes": "s. SLDU stands for State Legislative District Upper Chamber. State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "US Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019cb_sldu",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/sldu/",
+ "resources": [],
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+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/ISOParent/SeriesCollection_cb_2015_county_within_ua_500k.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/ISOParent/SeriesCollection_cb_2015_county_within_ua_500k.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "897d85ae-ee04-4973-a443-493b31261576",
+ "metadata_created": "2020-11-10T17:36:10.581748",
+ "metadata_modified": "2020-11-10T21:56:50.372968",
+ "name": "2016-county-within-ua-500",
+ "notes": ".\r\n\r\nAfter each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the \"urban footprint.\" There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes.\r\n\r\nThe primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities.\r\n\r\nThe boundaries for counties and equivalent entities are as of January 1, 2010.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "US Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2016_county_within_ua_500",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/county_within_ua_500/",
+ "resources": [],
+ "tags": [],
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+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "6898133b-4c29-412c-896e-4cfffad4a5ec",
+ "metadata_created": "2020-11-10T16:56:09.906576",
+ "metadata_modified": "2020-11-10T21:41:56.795610",
+ "name": "2014-kml-region-20",
+ "notes": "Regions are four groupings of States (Northeast, South, Midwest, and West) established by the Census Bureau in 1942 for the presentation of census data.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "US Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2014_kml_region_20",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/region_20/",
+ "resources": [],
+ "tags": [],
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+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/ISOParent/SeriesCollection_cb_2015_concity_500k.kml.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/ISOParent/SeriesCollection_cb_2015_concity_500k.kml.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "bfaf365f-3735-4be1-a91b-65f3398fd2cb",
+ "metadata_created": "2020-11-10T17:38:53.257217",
+ "metadata_modified": "2020-11-10T22:00:16.837502",
+ "name": "2016-kml-concity-500",
+ "notes": " A consolidated city is a unit of local government for which the functions of an incorporated place and its county or minor civil division (MCD) have merged. This action results in both the primary incorporated place and the county or MCD continuing to exist as legal entities, even though the county or MCD performs few or no governmental functions and has few or no elected officials. Where this occurs, and where one or more other incorporated places in the county or MCD continue to function as separate governments, even though they have been included in the consolidated government, the primary incorporated place is referred to as a consolidated city. The Census Bureau classifies the separately incorporated places within the consolidated city as place entities and creates a separate place (balance) record for the portion of the consolidated city not within any other place.\r\n ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "US Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2016_kml_concity_500",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/kml_concity_500/",
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+ "id": "7a9cb604-1821-4bba-8d90-adc932fca3db",
+ "metadata_created": "2021-10-12T22:29:15.260966",
+ "metadata_modified": "2021-10-12T22:29:15.260974",
+ "name": "2020-tract",
+ "notes": "",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "US Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2020 TRACT",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Collections/2020/tract/",
+ "resources": [],
+ "tags": [],
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+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_unsd.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/ParentFiles/SeriesCollection_tl_2016_unsd.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T17:52:24.415013",
+ "metadata_modified": "2020-11-10T22:12:55.548717",
+ "name": "2016-unsd",
+ "notes": "School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from State officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to States and school districts. \r\n\r\nTIGER/Line Shapefiles include separate shapefiles for elementary, secondary and unified school districts. The school district boundaries are those in effect for the 2013-2014 school year. \r\n",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "metadata_created": "2020-11-10T18:44:26.727836",
+ "metadata_modified": "2020-11-10T22:54:00.450600",
+ "name": "2019cb-cnectakml",
+ "notes": " Combined New England City and Town Areas (CNECTA) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent New England City and Town Areas (NECTA) that have significant employment interchanges. The NECTAs that combine to create a CNECTA retain separate identities within the larger combined statistical area. Because CNECTAs represent groupings of NECTAs, they should not be ranked or compared with individual NECTAs. The generalized boundaries in this file are based on those defined by OMB based on the 2010 Census, published in 2013, and updated in 2015, 2017, and 2018.",
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+ "metadata_modified": "2020-11-10T22:32:36.369329",
+ "name": "2017-zcta510",
+ "notes": "ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. ",
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+ "notes": "Combined Statistical Areas (CSAs) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent Core Based Statistical Areas (CBSAs) that have significant employment interchanges. The CBSAs that combine to create a CSA retain separate identities within the larger CSA. Because CSAs represent groupings of CBSAs, they should not be ranked or compared with individual CBSAs. ",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "metadata_modified": "2020-11-10T21:39:23.412283",
+ "name": "2014-kml-county-20m",
+ "notes": "The primary legal divisions of most states are termed counties.",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "private": false,
+ "private_datasets": "False",
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+ "title": "2014_kml_county_20m",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/county_20m/",
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+ "name": "2014-csa-20m",
+ "notes": "Combined Statistical Areas (CSAs) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent Core Based Statistical Areas (CBSAs) that have significant employment interchanges. The CBSAs that combine to create a CSA retain separate identities within the larger CSA. Because CSAs represent groupings of CBSAs, they should not be ranked or compared with individual CBSAs.",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
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+ "notes": "ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census.",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
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+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2014_kml_zcta510_500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/zcta510_500k/",
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2012/ISO/SeriesCollection/SeriesCollection_tl_2012_sldu.shp.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T14:11:41.851967",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
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+ "state": "active",
+ "title": "Census TIGER 2012 State Legislative District Upper Chamber",
+ "type": "harvest",
+ "url": "http://www2.census.gov/geo/datadotgov/sldu/",
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+ "metadata_modified": "2020-11-10T21:30:39.854624",
+ "name": "2015-anrc-500k",
+ "notes": "Alaska Native Regional Corporations (ANRCs) were created pursuant to the Alaska Native Claims Settlement Act (ANCSA), which is federal legislation (Pub. L. 92-203, 85 Stat. 688 (1971);\r\n43 U.S.C. 1602 et seq. (2000)) enacted in 1971, as a \"Regional Corporation\" and organized under the laws of the State of Alaska to conduct both the for-profit and non-profit affairs of Alaska Natives within a defined region of Alaska. For the Census Bureau, ANRCs are considered legal geographic entities. Twelve ANRCs cover the entire state of Alaska except for the area within the Annette Island Reserve (a federally recognized American Indian reservation under the governmental authority of the Metlakatla Indian Community). A thirteenth ANRC represents Alaska Natives who do not live in Alaska and do not identify with any of the twelve corporations. The Census Bureau does not provide data for this thirteenth ANRC because it has no defined geographic extent and thus it does not appear in the Cartographic Boundary Files. The Census Bureau offers representatives of the twelve non-profit ANRCs in Alaska the opportunity to review and update the ANRC boundaries before each decennial census.",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "notes": " Combined Statistical Areas (CSAs) are defined by the Office of Management and Budget (OMB) and consist of two or more adjacent Core Based Statistical Areas (CBSAs) that have significant employment interchanges.",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "title": "2019cb_csakml",
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+ "notes": " Congressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. ",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "private_datasets": "False",
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+ "state": "active",
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+ "type": "harvest",
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+ "metadata_created": "2020-11-10T18:31:53.338632",
+ "metadata_modified": "2020-11-10T22:41:04.748369",
+ "name": "2018-tbg",
+ "notes": "\r\n\r\nA tribal block group is a cluster of census tabulation blocks within a single tribal census tract delineated by American Indian tribal participants or the Census Bureau for the purpose of presenting demographic data on their reservation and/or off-reservation trust land. T",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019GDB.shp.iso.xml\", \"private_datasets\": \"False\"}",
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+ "metadata_created": "2020-11-10T18:46:37.346744",
+ "metadata_modified": "2020-11-10T22:56:23.515751",
+ "name": "2019cb-gbb",
+ "notes": ". Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "private_datasets": "False",
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+ "title": "2019cb_gbb",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/Geodatabases/",
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+ "metadata_created": "2020-11-10T17:30:26.458889",
+ "metadata_modified": "2020-11-10T21:50:30.694043",
+ "name": "2015tigerzcta",
+ "notes": "The Census Bureau delineates ZCTA boundaries for the United States, Puerto Rico, American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands once each decade following the decennial census.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2015TigerZcta",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/zcta510/",
+ "resources": [],
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+ "groups": [],
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+ "metadata_created": "2020-11-10T18:09:50.966998",
+ "metadata_modified": "2020-11-10T22:28:14.029344",
+ "name": "2017-addrfeat",
+ "notes": "The Address Ranges Feature Shapefile (ADDRFEAT.dbf) contains the geospatial edge geometry and attributes of all unsuppressed address ranges for a county or county equivalent area. The term \"address range\" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. ",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "state": "active",
+ "title": "2017_addrfeat",
+ "type": "harvest",
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+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T17:54:48.965224",
+ "metadata_modified": "2020-11-10T22:15:55.289404",
+ "name": "2017-bg-500",
+ "notes": "Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census. ",
+ "organization": {
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2017_bg_500",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/bg_500/",
+ "resources": [],
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+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
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+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "id": "1fb55496-8fbf-4b55-80de-d06ea9cf12d6",
+ "metadata_created": "2020-11-10T17:34:54.473507",
+ "metadata_modified": "2020-11-10T21:55:11.072987",
+ "name": "2016-zcta510-500",
+ "notes": "\r\n\r\nZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. The Census Bureau delineates ZCTA boundaries for the United States, Puerto Rico, American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands once each decade following the decennial census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery.\r\n\r\nThe Census Bureau uses tabulation blocks as the basis for defining each ZCTA. Tabulation blocks are assigned to a ZCTA based on the most frequently occurring ZIP Code for the addresses contained within that block. The most frequently occurring ZIP Code also becomes the five-digit numeric code of the ZCTA. These codes may contain leading zeros.\r\n\r\nBlocks that do not contain addresses but are surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA. Because the Census Bureau only uses the most frequently occurring ZIP Code to assign blocks, a ZCTA may not exist for every USPS ZIP Code. Some ZIP Codes may not have a matching ZCTA because too few addresses were associated with the specific ZIP Code or the ZIP Code was not the most frequently occurring ZIP Code within any of the blocks where it exists.\r\n\r\nThe generalized ZCTA boundaries in this file are based on those delineated following the 2010 Census.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2016_zcta510_500",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/zcta510_500/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Tiger2019/SeriesInfo/SeriesCollection_tl_2019_areawater.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Tiger2019/SeriesInfo/SeriesCollection_tl_2019_areawater.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "8a7c873b-43d8-46fa-b062-fcf62689f8eb",
+ "metadata_created": "2020-11-10T18:36:21.589999",
+ "metadata_modified": "2020-11-10T22:45:38.700202",
+ "name": "2019-areawater",
+ "notes": " The Area Hydrography Shapefile contains the geometry and attributes of both perennial and intermittent area hydrography features, including ponds, lakes, oceans, swamps (up to the U.S. nautical three-mile limit), glaciers, and the area covered by large rivers, streams, and/or canals that are represented as double-line drainage. Single-line drainage water features can be found in the Linear Hydrography Shapefile (LINEARWATER.shp). Linear water features includes single-line drainage water features and artificial path features, where they exist, that run through double-line drainage features such as rivers, streams, and/or canals, and serve as a linear representation of these features.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "US Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019_areawater",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Tiger2019/areawater/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/SeriesInfoFiles/SeriesCollection_tl_2015_concity.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/SeriesInfoFiles/SeriesCollection_tl_2015_concity.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "6992da91-9d77-46c7-96b5-f8941209e9b8",
+ "metadata_created": "2020-11-10T16:58:45.166631",
+ "metadata_modified": "2020-11-10T21:45:23.565588",
+ "name": "2015tigerconcity",
+ "notes": "A consolidated city is a unit of local government for which the functions of an incorporated place and its county or minor civil division (MCD) have merged.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "US Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2015TigerConcity",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/concity/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "7d4b2387-769b-41d0-b153-f6d4de4dd91d",
+ "metadata_created": "2020-11-10T17:48:00.971576",
+ "metadata_modified": "2020-11-10T22:07:20.788185",
+ "name": "2016-facesmil",
+ "notes": "The Topological Faces / Military Installation Relationship File (FACESMIL.dbf) contains a record for each face / military installation relationship. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The face to which a record in the Topological Faces / Military Installation Relationship File (FACESMIL.dbf) applies can be determined by linking to the Topological Faces Shapefile (FACES.shp) on the permanent topological face identifier (TFID) attribute. The military installation to which a record in the Topological Faces / Military Installation Relationship File (FACESMIL.dbf) applies can be determined by linking to the Military Installation Shapefile (MIL.shp) on the military installation identifier (AREAID) attribute. A face may be part of multiple military installations. A military installation may consist of multiple faces. \r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "US Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2016_facesmil",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/facesmil/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_elsd.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_elsd.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "115ebf5a-473f-433b-8a76-5689b5bce05a",
+ "metadata_created": "2020-11-10T18:29:51.414825",
+ "metadata_modified": "2020-11-10T22:38:59.238148",
+ "name": "2018-elsd",
+ "notes": "School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "US Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
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+ "private_datasets": "False",
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+ "state": "active",
+ "title": "2018_elsd",
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+ "metadata_created": "2020-11-10T17:35:28.813057",
+ "metadata_modified": "2020-11-10T21:55:56.125989",
+ "name": "2016-cd114-5",
+ "notes": "\r\nCongressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. The 114th Congress is seated from January 2015 to 2017. The cartographic boundary files for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts are provided to the Census Bureau through the Redistricting Data Program (RDP).",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "metadata_created": "2020-11-10T18:10:28.158853",
+ "metadata_modified": "2020-11-10T22:28:59.644957",
+ "name": "2017-anrc",
+ "notes": "Alaska Native Regional Corporations (ANRCs) were created pursuant to the Alaska Native Claims Settlement Act (ANCSA), which is federal legislation (Pub. L. 92-203, 85 Stat. 688 (1971); 43 U.S.C. 1602 et seq. (2000)) enacted in 1971, as a \"Regional Corporation\" and organized under the laws of the State of Alaska to conduct both the for-profit and non-profit affairs of Alaska Natives within a defined region of Alaska. For the Census Bureau, ANRCs are considered legal geographic entities. Twelve ANRCs cover the entire state of Alaska except for the area within the Annette Island Reserve (a federally recognized American Indian reservation under the governmental authority of the Metlakatla Indian Community). ",
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+ "metadata_created": "2020-11-10T18:26:47.196300",
+ "metadata_modified": "2020-11-10T22:35:47.223038",
+ "name": "2017cart-aiannh",
+ "notes": " The American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas file includes the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs). Joint use areas included in this file refer to areas that are administered jointly and/or claimed by two or more American Indian tribes. The Census Bureau designates both legal and statistical joint use areas as unique geographic entities for the purpose of presenting statistical data.",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2017Cartographic/aiannh/",
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+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/SeriesInfo/SeriesCollection_tl_2018_puma10.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T18:31:03.696250",
+ "metadata_modified": "2020-11-10T22:40:10.831054",
+ "name": "2018-puma10",
+ "notes": "After each decennial census, the Census Bureau delineates Public Use Microdata Areas (PUMAs) for the tabulation and dissemination of decennial census Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) PUMS data, and ACS period estimates.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2018_puma10",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/puma10/",
+ "resources": [],
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+ {
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+ "metadata_created": "2021-10-12T23:47:31.405792",
+ "metadata_modified": "2021-10-12T23:47:31.405799",
+ "name": "2020-unsd",
+ "notes": "",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "US Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2020 UNSD",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Collections/2020/unsd/",
+ "resources": [],
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+ "relationships_as_object": []
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+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/ParentFiles/SeriesCollection_cb_2016_concity_500k.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
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+ "metadata_created": "2020-11-10T17:56:36.057697",
+ "metadata_modified": "2020-11-10T22:18:10.292143",
+ "name": "2017-concity-500",
+ "notes": "A consolidated city is a unit of local government for which the functions of an incorporated place and its county or minor civil division (MCD) have merged. This action results in both the primary incorporated place and the county or MCD continuing to exist as legal entities, even though the county or MCD performs few or no governmental functions and has few or no elected officials. ",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "US Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2017_concity_500",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/concity_500/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
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+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
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+ "metadata_created": "2020-11-10T16:45:52.372209",
+ "metadata_modified": "2020-11-10T21:31:06.851598",
+ "name": "2014-cbsa-500",
+ "notes": "Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urbanized areas of 50,000 or more population; and Micropolitan Statistical Areas, based on urban clusters of at least 10,000 population but less than 50,000 population.\r\n\r\nThe CBSAs boundaries are those defined by OMB based on the 2010 Census and published in 2013.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
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+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
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+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2014_cbsa_500",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/cbsa_500k/",
+ "resources": [],
+ "tags": [],
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+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_state_5m.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_state_5m.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
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+ "metadata_created": "2020-11-10T15:35:24.840103",
+ "metadata_modified": "2020-11-10T20:24:40.778839",
+ "name": "2014state5m",
+ "notes": "State for United States, 1:5,000,000",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
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+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
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+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014State5m",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/state_5m/",
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+ "metadata_created": "2020-11-10T18:06:28.837197",
+ "metadata_modified": "2020-11-10T22:24:18.326609",
+ "name": "2017-puma10-500kml",
+ "notes": "After each decennial census, the Census Bureau delineates Public Use Microdata Areas (PUMAs) for the tabulation and dissemination of decennial census Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) PUMS data, and ACS period estimates. Nesting within states, or equivalent entities, PUMAs cover the entirety of the United States, Puerto Rico, Guam, and the U.S. Virgin Islands. PUMA delineations are subject to population, building block geography, geographic nesting, and contiguity criteria. Each PUMA is identified by a 5-character numeric census code that may contain leading zeros and a descriptive name.",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
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+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2017_puma10_500kml",
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+ "metadata_created": "2020-11-10T16:59:25.749596",
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+ "name": "2015tigerelsdfacesa",
+ "notes": "The Topological Faces / Area Hydrography Relationship File (FACESAH.dbf) contains a record for each face / area hydrography feature relationship. Face refers to the areal (polygon) topological primitives that make up MTDB.",
+ "organization": {
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+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
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+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2015TigerElsdFacesa",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/facesah/",
+ "resources": [],
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+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/SeriesCollection/SeriesCollection_tl_2013_facesmil.dbf.iso.xml\", \"private_datasets\": \"False\"}",
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+ "id": "d2e494de-e632-45ee-87d6-469783b322d7",
+ "metadata_created": "2020-11-10T14:17:21.990331",
+ "metadata_modified": "2020-11-10T20:04:49.773175",
+ "name": "topological-faces-military-installation-relationship-file",
+ "notes": "The Topological Faces / Military Installation Relationship File (FACESMIL.dbf) contains a record for each face / military installation relationship. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The face to which a record in the Topological Faces / Military Installation Relationship File (FACESMIL.dbf) applies can be determined by linking to the Topological Faces Shapefile (FACES.shp) on the permanent topological face identifier (TFID) attribute. The military installation to which a record in the Topological Faces / Military Installation Relationship File (FACESMIL.dbf) applies can be determined by linking to the Military Installation Shapefile (MIL.shp) on the military installation identifier (AREAID) attribute. A face may be part of multiple military installations. A military installation may consist of multiple faces.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "US Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "Topological Faces-Military Installation Relationship File",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/facesmil/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://localhost",
+ "config": "{\"collection_metadata_url\": \"http://localhost\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "574fcabc-5d42-4352-a5a5-983088025660",
+ "metadata_created": "2020-11-10T17:51:05.204845",
+ "metadata_modified": "2020-11-10T22:11:14.107884",
+ "name": "2016-linearwater",
+ "notes": "Linear Water Features includes single-line drainage water features and artificial path features that run through double-line drainage features such as rivers and streams, and serve as a linear representation of these features. The artificial path features may correspond to those in the USGS National Hydrographic Dataset (NHD). However, in many cases the features do not match NHD equivalent feature and will not carry the NHD metadata codes. These features have a MAF/TIGER Feature Classification Code (MTFCC) beginning with an \"H\" to indicate the super class of Hydrographic Features. \r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "US Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2016_linearwater",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/linearwater/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "a914b7a2-8a94-487e-91d6-d17a922a566f",
+ "metadata_created": "2020-11-10T17:35:42.710848",
+ "metadata_modified": "2020-11-10T21:56:14.273098",
+ "name": "2016-county-20",
+ "notes": "\r\n\r\nThe primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities.",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "US Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "2016_county_20",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/county_20/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019sstate.shp.iso.xml",
+ "config": "{\"collection_metadata_url\": \"https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/SeriesInfo/SeriesInfo2019sstate.shp.iso.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "259651df-ed00-432e-9d47-cae8f89efda4",
+ "metadata_created": "2020-11-10T18:48:49.099934",
+ "metadata_modified": "2020-11-10T22:58:56.299384",
+ "name": "2019cb-state",
+ "notes": "States and equivalent entities are the primary governmental divisions of the United States. In addition to the fifty states, the Census Bureau treats the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) as the statistical equivalents of states for the purpose of data presentation.\r\n",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "US Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2019cb_state",
+ "type": "harvest",
+ "url": "https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/state/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "collection_metadata_url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_place_500k.xml",
+ "config": "{\"collection_metadata_url\": \"http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/SeriesCollection/ISO_SeriesCollection_cb_2013_place_500k.xml\", \"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "8d260de3-bc90-4c6e-a692-7a3c6c7327c1",
+ "metadata_created": "2020-11-10T15:34:40.016015",
+ "metadata_modified": "2020-11-10T20:23:37.640322",
+ "name": "2014place500k",
+ "notes": " State-Place for 1:500,000",
+ "organization": {
+ "id": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "name": "census-gov",
+ "title": "US Census Bureau, Department of Commerce",
+ "type": "organization",
+ "description": "The Census Bureau's mission is to serve as the leading source of quality data about the nation's people and economy. We honor privacy, protect confidentiality, share our expertise globally, and conduct our work openly. We are guided on this mission by scientific objectivity, our strong and capable workforce, our devotion to research-based innovation, and our abiding commitment to our customers.",
+ "image_url": "http://www.census.gov/main/img/home/CensusLogo-white.png",
+ "created": "2020-11-10T14:08:17.917195",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "fb3131aa-ef06-4a00-ad84-67d93a71d7e3",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf-collection",
+ "state": "active",
+ "title": "2014place500k",
+ "type": "harvest",
+ "url": "http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/place_500k/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "19af1c3c-8137-421c-a51b-c42daacfbba1",
+ "metadata_created": "2020-11-10T17:45:52.226199",
+ "metadata_modified": "2023-10-03T19:35:44.443516",
+ "name": "region-6-non-geo-records",
+ "notes": "Region 6 Non-Geo Records",
+ "organization": {
+ "id": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "name": "epa-gov",
+ "title": "U.S. Environmental Protection Agency",
+ "type": "organization",
+ "description": "Our mission is to protect human health and the environment. ",
+ "image_url": "https://edg.epa.gov/EPALogo.svg",
+ "created": "2020-11-10T15:10:42.298896",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "private": false,
+ "source_type": "datajson",
+ "state": "active",
+ "title": "Region 6 Non-Geo Records",
+ "type": "harvest",
+ "url": "https://edg.epa.gov/data/Public/R6/metadata/Region6.json",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "e3a921dc-1f2d-4da2-92e2-42715b229848",
+ "metadata_created": "2020-11-10T17:45:14.826752",
+ "metadata_modified": "2023-10-03T19:21:56.797726",
+ "name": "ord-nheerl-aed-non-geo-records",
+ "notes": "ORD-NHEERL-AED Non Geo Records",
+ "organization": {
+ "id": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "name": "epa-gov",
+ "title": "U.S. Environmental Protection Agency",
+ "type": "organization",
+ "description": "Our mission is to protect human health and the environment. ",
+ "image_url": "https://edg.epa.gov/EPALogo.svg",
+ "created": "2020-11-10T15:10:42.298896",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "private": false,
+ "source_type": "datajson",
+ "state": "active",
+ "title": "ORD-NHEERL-AED Non Geo Records",
+ "type": "harvest",
+ "url": "https://edg.epa.gov/data/Public/ORD/NHEERL/metadata/ORDNHEERLAED.json",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "0742a80f-e1c1-4b7f-a0eb-22d4dd73b59c",
+ "metadata_created": "2020-11-10T17:41:17.736157",
+ "metadata_modified": "2023-10-03T19:23:09.085821",
+ "name": "ord-ncea-non-geo-records",
+ "notes": "ORD-NCEA Non-Geo Records",
+ "organization": {
+ "id": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "name": "epa-gov",
+ "title": "U.S. Environmental Protection Agency",
+ "type": "organization",
+ "description": "Our mission is to protect human health and the environment. ",
+ "image_url": "https://edg.epa.gov/EPALogo.svg",
+ "created": "2020-11-10T15:10:42.298896",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "private": false,
+ "source_type": "datajson",
+ "state": "active",
+ "title": "ORD-NCEA Non-Geo Records",
+ "type": "harvest",
+ "url": "https://edg.epa.gov/data/Public/ORD/NCEA/metadata/ORD_NCEA.json",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "4978c641-58c2-488e-946c-76d6e6246c19",
+ "metadata_created": "2020-11-10T17:39:16.402838",
+ "metadata_modified": "2023-10-03T19:24:11.773705",
+ "name": "oar-oria-non-geo-records",
+ "notes": "OAR-ORIA Non-Geo Records",
+ "organization": {
+ "id": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "name": "epa-gov",
+ "title": "U.S. Environmental Protection Agency",
+ "type": "organization",
+ "description": "Our mission is to protect human health and the environment. ",
+ "image_url": "https://edg.epa.gov/EPALogo.svg",
+ "created": "2020-11-10T15:10:42.298896",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "private": false,
+ "source_type": "datajson",
+ "state": "active",
+ "title": "OAR-ORIA Non-Geo Records",
+ "type": "harvest",
+ "url": "https://edg.epa.gov/data/PUBLIC/OAR/ORIA/metadata/OAR-ORIA.json",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "b512f783-7c42-4416-a1ff-7eb27d30e542",
+ "metadata_created": "2020-11-10T17:45:22.576642",
+ "metadata_modified": "2023-10-03T19:25:10.203684",
+ "name": "region-3-non-geo-records",
+ "notes": "Region 3 Non-Geo Records",
+ "organization": {
+ "id": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "name": "epa-gov",
+ "title": "U.S. Environmental Protection Agency",
+ "type": "organization",
+ "description": "Our mission is to protect human health and the environment. ",
+ "image_url": "https://edg.epa.gov/EPALogo.svg",
+ "created": "2020-11-10T15:10:42.298896",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "82b85475-f85d-404a-b95b-89d1a42e9f6b",
+ "private": false,
+ "source_type": "datajson",
+ "state": "active",
+ "title": "Region 3 Non-Geo Records",
+ "type": "harvest",
+ "url": "https://edg.epa.gov/data/Public/R3/metadata/Region3.json",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "MANUAL",
+ "id": "7e11285f-ca14-42c7-a538-1ed865f9fff5",
+ "metadata_created": "2020-11-10T19:00:50.563865",
+ "metadata_modified": "2023-12-13T21:18:37.196971",
+ "name": "nesdis-ngdc-mgg-nos-l02001-l04000",
+ "notes": "",
+ "organization": {
+ "id": "5f4f1195-e770-4a2a-8f75-195cd98860ce",
+ "name": "noaa-gov",
+ "title": "National Oceanic and Atmospheric Administration, Department of Commerce",
+ "type": "organization",
+ "description": "",
+ "image_url": "https://fortress.wa.gov/dfw/score/score/images/noaa_logo.png",
+ "created": "2020-11-10T15:36:13.098184",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "5f4f1195-e770-4a2a-8f75-195cd98860ce",
+ "private": false,
+ "source_type": "waf",
+ "state": "active",
+ "title": "NESDIS/NGDC/MGG/NOS/L02001-L04000",
+ "type": "harvest",
+ "url": "https://data.noaa.gov/waf/NOAA/NESDIS/NGDC/MGG/NOS/L02001-L04000/iso/xml/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": []
+ },
+ {
+ "config": "{\"private_datasets\": \"False\"}",
+ "creator_user_id": "a4aca618-886b-4597-8af0-96dfbf874935",
+ "frequency": "WEEKLY",
+ "id": "2738981c-0c63-4286-9da7-20abe8cd4700",
+ "metadata_created": "2020-11-10T19:02:38.617823",
+ "metadata_modified": "2020-11-10T23:11:05.481089",
+ "name": "ngdc-mgg-geology",
+ "notes": "",
+ "organization": {
+ "id": "5f4f1195-e770-4a2a-8f75-195cd98860ce",
+ "name": "noaa-gov",
+ "title": "National Oceanic and Atmospheric Administration, Department of Commerce",
+ "type": "organization",
+ "description": "NOAA data will be cleared and slowly reharvested starting 10/12/2020, with expected full datasets harvested by 10/16/2020.",
+ "image_url": "https://fortress.wa.gov/dfw/score/score/images/noaa_logo.png",
+ "created": "2020-11-10T15:36:13.098184",
+ "is_organization": true,
+ "approval_status": "approved",
+ "state": "active"
+ },
+ "owner_org": "5f4f1195-e770-4a2a-8f75-195cd98860ce",
+ "private": false,
+ "private_datasets": "False",
+ "source_type": "waf",
+ "state": "active",
+ "title": "NGDC MGG Geology",
+ "type": "harvest",
+ "url": "https://data.noaa.gov/waf/NOAA/NESDIS/NGDC/MGG/Geology/iso/xml/",
+ "resources": [],
+ "tags": [],
+ "groups": [],
+ "relationships_as_subject": [],
+ "relationships_as_object": [],
+ "extras": []
+ }
+ ],
+ "sort": "views_recent desc",
+ "search_facets": {}
+ }
+}
diff --git a/tests/harvest-sources/dcatus/all_harvest_sources/exceptions.txt b/tests/harvest-sources/dcatus/all_harvest_sources/exceptions.txt
new file mode 100644
index 00000000..e678833a
--- /dev/null
+++ b/tests/harvest-sources/dcatus/all_harvest_sources/exceptions.txt
@@ -0,0 +1,24319 @@
+Census 5-Digit ZIP Code Tabulation Area (ZCTA5) National http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/zcta510/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Primary and Secondary Roads State-based Shapefile http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/prisecroads/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2010 Census Traffic Analysis Zone (TAZ) State-based http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2011/taz/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Census TIGER 2012 Address Data http://www2.census.gov/geo/datadotgov/addr/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Current American Indian/Alaska Native/Native Hawaiian Areas National (AIANNH) http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/aiannh/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+New Mexico Resource Geographic Information System (NM RGIS) http://rgismetadata.unm.edu/19115/collections/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+BLS Data https://www.bls.gov/data.json
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2016_uac10 http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/uac10/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Current Combined Statistical Area (CSA) National http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/csa/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+NGDC MGG Passive Acoustic https://data.noaa.gov/waf/NOAA/NESDIS/NGDC/MGG/passive_acoustic/iso/xml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+NOS OCM https://data.noaa.gov/waf/NOAA/nos/ocm/iso/xml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Census TIGER 2012 Primary and Secondary Roads State-based http://www2.census.gov/geo/datadotgov/prisecroads/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+DOI EDI https://datainventory.doi.gov/data.json
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting ',' delimiter or ']': line 1 column 50096 (char 50095)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting ',' delimiter or ']': line 1 column 50096 (char 50095)
+
+
+USITC Data.json Source https://www.usitc.gov/data.json
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Current county and Equivlaent National Shapefile http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/county/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014region5m http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/region_5m/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014 Alaska Native Regional Corporation http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/anrc/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+NESDIS/NGDC/MGG/NOS/H06001-H08000 https://data.noaa.gov/waf/NOAA/NESDIS/NGDC/MGG/NOS/H06001-H08000/iso/xml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+NGDC STP Ionosonde https://data.noaa.gov/waf/NOAA/NESDIS/NGDC/STP/Ionosonde/iso/xml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+NMFS PIRO https://data.noaa.gov/waf/NOAA/nmfs/piro/iso/xml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Coastal Data Information Program http://cdip.ucsd.edu/data_access/metadata/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Current BG https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Collections/Current/bg/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019_prisecroads https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Tiger2019/prisecroads/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+National Transportation Atlas Database (NTAD) Metadata https://maps.dot.gov/NTADmetadata/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2015TigerCousub http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/cousub/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2018_roads https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/roads/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019cb_csa https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/csa/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Current Census Tract State-based http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/tract/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2016_cd http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/cd/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_cbsa_20m http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/cbsa_20m/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_region_500 https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/region_500/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2015tigeraiannh http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/aiannh/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_state_500k http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/state_500k/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2016_addrfn http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/addrfn/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019cb_cbsa https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/cbsa/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_cousub https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/cousub/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_mil https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/mil/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2015TigerMetdiv http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/metdiv/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2015TigerCoastline http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/coastline/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2016_cbsa_500 http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/cbsa_500/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2016_kml_csa_20 http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/kml_csa_20/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_cd115_500kml https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/cd115_500kml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_nation_5kml https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/nation_5kml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_cd114_20m http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/cd114_20m/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Cartographic Boundary Files - 2020 https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2020/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Current Topological Faces (Polygons With All Geocodes) Shapefile http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/faces/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+SEC data.json https://www.sec.gov/data.json
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019cb_concity https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/concity/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+USDOT Geospatial Metadata https://maps.dot.gov/dotgis/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_scsd_500kml https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/scsd_500kml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_cd115_20 https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/cd115_20/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019cb_county https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/county/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014cbsa500K http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/cbsa_500k/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2016_primaryroads http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/primaryroads/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2016_kml_csa_5 http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/kml_csa_5/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014 Topological Faces-Area Landmark State http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/facesal/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_elsd_500kml https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/elsd_500kml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_kml_cd114_500k http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/cd114_500k/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_metdiv https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/metdiv/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019cb_regionkml https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/region_kml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014 Topological Faces-Military Installation http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/facesmil/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_kml_anrc_500k http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/anrc_500k/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2018_estate https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/estate/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_necta_500k http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/necta_500k/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_kml_ua10_500k http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/ua10_500k/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2016_concity http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/concity/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+ISO Harvest Tests https://robinson.epa.gov/WAFer_harvest/ISOTest/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/connection.py", line 203, in _new_conn
+ sock = connection.create_connection(
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/util/connection.py", line 60, in create_connection
+ for res in socket.getaddrinfo(host, port, family, socket.SOCK_STREAM):
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/opt/homebrew/Cellar/python@3.11/3.11.4_1/Frameworks/Python.framework/Versions/3.11/lib/python3.11/socket.py", line 962, in getaddrinfo
+ for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+socket.gaierror: [Errno 8] nodename nor servname provided, or not known
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/connectionpool.py", line 790, in urlopen
+ response = self._make_request(
+ ^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/connectionpool.py", line 491, in _make_request
+ raise new_e
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/connectionpool.py", line 467, in _make_request
+ self._validate_conn(conn)
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/connectionpool.py", line 1096, in _validate_conn
+ conn.connect()
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/connection.py", line 611, in connect
+ self.sock = sock = self._new_conn()
+ ^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/connection.py", line 210, in _new_conn
+ raise NameResolutionError(self.host, self, e) from e
+urllib3.exceptions.NameResolutionError: : Failed to resolve 'robinson.epa.gov' ([Errno 8] nodename nor servname provided, or not known)
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/adapters.py", line 486, in send
+ resp = conn.urlopen(
+ ^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/connectionpool.py", line 844, in urlopen
+ retries = retries.increment(
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/util/retry.py", line 515, in increment
+ raise MaxRetryError(_pool, url, reason) from reason # type: ignore[arg-type]
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+urllib3.exceptions.MaxRetryError: HTTPSConnectionPool(host='robinson.epa.gov', port=443): Max retries exceeded with url: /WAFer_harvest/ISOTest/ (Caused by NameResolutionError(": Failed to resolve 'robinson.epa.gov' ([Errno 8] nodename nor servname provided, or not known)"))
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/api.py", line 73, in get
+ return request("get", url, params=params, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/api.py", line 59, in request
+ return session.request(method=method, url=url, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/sessions.py", line 589, in request
+ resp = self.send(prep, **send_kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/sessions.py", line 703, in send
+ r = adapter.send(request, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/adapters.py", line 519, in send
+ raise ConnectionError(e, request=request)
+requests.exceptions.ConnectionError: HTTPSConnectionPool(host='robinson.epa.gov', port=443): Max retries exceeded with url: /WAFer_harvest/ISOTest/ (Caused by NameResolutionError(": Failed to resolve 'robinson.epa.gov' ([Errno 8] nodename nor servname provided, or not known)"))
+
+
+2017_pointlm https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/pointlm/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2015TigerTbg http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/tbg/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_tabblock10 https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/tabblock10/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_anrc_500 https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/anrc_500/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2018_aitsn https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/aitsn/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_region_20m http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/region_20m/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014nation_20m http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/nation_20m/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019_sldu https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Collections/2019/sldu/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019_sldl https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Collections/2019/sldl/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014 Military Installation http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/mil/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014 Point Landmark http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/pointlm/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2016_division_20 http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/division_20/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019_elsd https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Collections/2019/elsd/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014 Current State Legislative District (SLD) Upper Chamber http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/sldu/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014 Current Combined Statistical Area (CSA) http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/csa/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Census TIGER 2012 Traffic Analysis District http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TL2011/tad/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+NOAA/NESDIS/ncei/accessions https://data.noaa.gov/waf/NOAA/NESDIS/ncei/accessions/iso/xml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+NGDC Well Logs https://data.noaa.gov/waf/NOAA/NESDIS/NGDC/MGG/Well_Logs/iso/xml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Alaska Division of Geological and Geophysical Surveys https://dggs.alaska.gov/webpubs/metadata/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+NMFS OSF https://data.noaa.gov/waf/NOAA/nmfs/osf/iso/xml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+IENC Metadata https://ienccloud.us/ienc/data/metadata/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Current Address Range-Feature Name Relationship File http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/addrfn/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019cb_subbario https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/subbarrio/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Current NGDA Standalones https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Current_19115/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+116th Congressional District https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/cd116/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+State geodata https://geodata.state.gov/geonetwork/srv/api/records/3bdb81a0-c1b9-439a-a0b1-85dac30c59b2/formatters/xml?approved=true
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 960, in json
+ return complexjson.loads(self.content.decode(encoding), **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 968, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Current SCSD https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Collections/Current/scsd/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Current ROADS https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Collections/Current/roads/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014 Primary and Secondary Roads http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/prisecroads/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014 Current Consolidated City http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/concity/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2016_cousub http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/cousub/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Census TIGER 2012 All Lines Shapefiles http://www2.census.gov/geo/datadotgov/edges/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019_place https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Collections/2019/place/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Census Bureau Regional Office Boundaries http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/CensusRegionalOfficeBoundaries/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+county_5m http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/county_5m/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_facesah https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/facesah/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2015TigerElsd http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/elsd/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_county_within_ua_500kml https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/county_within_ua_500kml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014 Current State Legislative District (SLD) Lower Chamber http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/2014sldl/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014 Current American Indian/Alaska Native/Native Hawaiian Areas http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/aiannh/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Census TIGER 2012 Consolidated Cities http://www2.census.gov/geo/datadotgov/concity/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+HHS CAS JSON https://raw.githubusercontent.com/gbinal/data/master/datasets/hhs_cas.json
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^
+TypeError: list indices must be integers or slices, not str
+
+
+Current State Legislative District (SLD) Upper Chamber http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/sldu/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2018_nectadiv https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/nectadiv/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2015TigerState http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/state/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Census TIGER 2012 Tract Data http://www2.census.gov/geo/datadotgov/tract/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019cd_aiannh_kml https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/aiannh_kml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014 Current New England City and Town Area http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/necta/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+USGS National Geologic Map Database https://ngmdb.usgs.gov/geoDataGov/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Coastlines National Shapefile http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/coastline/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019_primaryroads https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Tiger2019/primaryroads/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_elsd https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/elsd/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_roads https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/roads/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Census TIGER 2012 Urban Area State http://www2.census.gov/geo/datadotgov/uac10/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+City of Jackson, Mississippi Data.json Harvest Source https://data.jacksonms.gov/data.json
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^
+KeyError: 'dataset'
+
+
+Census TIGER 2012 Address Range-Feature http://www2.census.gov/geo/datadotgov/addrfeat/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+ncdc https://data.noaa.gov/waf/NOAA/NESDIS/ncei/ncei-nc/iso/xml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+TIGERWeb http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TigerWeb/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Environmental Dataset Gateway ISO Geospatial Metadata https://edg.epa.gov/WAFer_harvest/ISO/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019_unsd https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Collections/2019/unsd/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Toxics Release Inventory Metadata https://edg.epa.gov/data/PUBLIC/OEI/METADATA/TRI.json
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^
+KeyError: 'dataset'
+
+
+2017_region_5 https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/region_5/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+OpenTopography CSW https://portal.opentopography.org/geoportal/csw
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+hawaii json https://data.hawaii.gov/data.json?version=2
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 3 column 1 (char 2)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 3 column 1 (char 2)
+
+
+UAF WAF https://data.noaa.gov/waf/NOAA/uaf/iso/xml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+NGDC MGG Hazard Photos https://data.noaa.gov/waf/NOAA/NESDIS/NGDC/MGG/Hazard_Photos/iso/xml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+NGDC Solar Imagery https://data.noaa.gov/waf/NOAA/NESDIS/NGDC/STP/Solar_Imagery/iso/xml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Washington Geographic Information Council http://wa-node.gis.washington.edu/geoportal/csw/discovery
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/connection.py", line 203, in _new_conn
+ sock = connection.create_connection(
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/util/connection.py", line 60, in create_connection
+ for res in socket.getaddrinfo(host, port, family, socket.SOCK_STREAM):
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/opt/homebrew/Cellar/python@3.11/3.11.4_1/Frameworks/Python.framework/Versions/3.11/lib/python3.11/socket.py", line 962, in getaddrinfo
+ for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+socket.gaierror: [Errno 8] nodename nor servname provided, or not known
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/connectionpool.py", line 790, in urlopen
+ response = self._make_request(
+ ^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/connectionpool.py", line 496, in _make_request
+ conn.request(
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/connection.py", line 395, in request
+ self.endheaders()
+ File "/opt/homebrew/Cellar/python@3.11/3.11.4_1/Frameworks/Python.framework/Versions/3.11/lib/python3.11/http/client.py", line 1281, in endheaders
+ self._send_output(message_body, encode_chunked=encode_chunked)
+ File "/opt/homebrew/Cellar/python@3.11/3.11.4_1/Frameworks/Python.framework/Versions/3.11/lib/python3.11/http/client.py", line 1041, in _send_output
+ self.send(msg)
+ File "/opt/homebrew/Cellar/python@3.11/3.11.4_1/Frameworks/Python.framework/Versions/3.11/lib/python3.11/http/client.py", line 979, in send
+ self.connect()
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/connection.py", line 243, in connect
+ self.sock = self._new_conn()
+ ^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/connection.py", line 210, in _new_conn
+ raise NameResolutionError(self.host, self, e) from e
+urllib3.exceptions.NameResolutionError: : Failed to resolve 'wa-node.gis.washington.edu' ([Errno 8] nodename nor servname provided, or not known)
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/adapters.py", line 486, in send
+ resp = conn.urlopen(
+ ^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/connectionpool.py", line 844, in urlopen
+ retries = retries.increment(
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/util/retry.py", line 515, in increment
+ raise MaxRetryError(_pool, url, reason) from reason # type: ignore[arg-type]
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+urllib3.exceptions.MaxRetryError: HTTPConnectionPool(host='wa-node.gis.washington.edu', port=80): Max retries exceeded with url: /geoportal/csw/discovery (Caused by NameResolutionError(": Failed to resolve 'wa-node.gis.washington.edu' ([Errno 8] nodename nor servname provided, or not known)"))
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/api.py", line 73, in get
+ return request("get", url, params=params, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/api.py", line 59, in request
+ return session.request(method=method, url=url, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/sessions.py", line 589, in request
+ resp = self.send(prep, **send_kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/sessions.py", line 703, in send
+ r = adapter.send(request, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/adapters.py", line 519, in send
+ raise ConnectionError(e, request=request)
+requests.exceptions.ConnectionError: HTTPConnectionPool(host='wa-node.gis.washington.edu', port=80): Max retries exceeded with url: /geoportal/csw/discovery (Caused by NameResolutionError(": Failed to resolve 'wa-node.gis.washington.edu' ([Errno 8] nodename nor servname provided, or not known)"))
+
+
+FEMA-R10 https://hazards.fema.gov/filedownload/metadata/R10/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+ioos https://data.noaa.gov/waf/NOAA/ioos/iso/xml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Coa Parks http://geospatial.gatech.edu/Metadata/ParkFacilities.xml
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Current Block State-based http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/tabblock/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019cb_sldl https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/sldl/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2016_puma10 http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/puma10/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Baltimore JSON https://data.baltimorecity.gov/data.json?version=2
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Current Topological Faces-Area Hydrography Relationship File http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/facesah/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+WV GIS Technical Center http://wvgis.wvu.edu/metadata_waf/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Primary Roads National Shapefile http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/primaryroads/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+International Boundary Between United States and Mexico Approved in 2009 by Minute 315 https://gisportal.ibwc.gov/agsportal/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Current New England City and Town Area (NECTA) National Shapefile http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/necta/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Census TIGER 2012 Address Range-Feature Name http://www2.census.gov/geo/datadotgov/addrfn/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2016_subbario http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/subbarrio/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_county_20kml https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/county_20kml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019cb_divisionKML https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/division_kml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_kml_cbsa_20m http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/cbsa_20m/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019_edges https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Tiger2019/edgesb/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+NIRTD JSON https://www.nitrd.gov/data.json
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_csa_5m http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/csa_5m/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019_facesah https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Tiger2019/facesah/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014 Current Unified School District http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/unsd/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_cbsa_500kml https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/cbsa_500kml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2016_division_500 http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/division_500/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_csa https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/csa/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Current UNSD https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Collections/Current/unsd/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Current VTD https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Collections/Current/vtd/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_kml_csa_500k http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/csa_500k/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_kml_sldl_500k http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/sldl_500k/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2016_bg_500 http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/bg_500/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_necta_500 https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/necta_500/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_county_20m http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/county_20m/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_aiannh_500 https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/aiannh_500/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Tiger2015Mil http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/mil/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Census TIGER 2012 NECTA Division National http://www2.census.gov/geo/datadotgov/nectadiv/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2016_cbsa_5 http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/cbsa_5/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2016_csa_20 http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/csa_20/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014 Metropolitan Statistical Area/Micropolitan Statistical Area http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/cbsa/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Census TIGER 2012 ComCounty Subdivision State-baseds http://www2.census.gov/geo/datadotgov/cousub/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2016_arealm http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/arealm/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_kml_county_5m http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/county_5m/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+kml_aiannnh_500 http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/kml_aiannh_500/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_kml_state_500k http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/state_500k/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+20156TigerFacesal http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/facesal/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2015TigerNectadiv http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/nectadiv/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2018_prisecroads https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/prisecroads/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2015TigerRoads http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/roads/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2010 Census Urban Area for United States, 1:500,000 http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2013gz/uac10_500/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_region_5m http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/region_5m/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2018_faces https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/faces/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Census TIGER 2012 Topological Faces http://www2.census.gov/geo/datadotgov/faces/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014 Current Estate http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/estate/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014cbsa http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/cbsa_20m/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2016_cbsa_20 http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/cbsa_20/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Federal Laboratory Consortium Data.json https://federallabs.org/at-report.json
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 2 column 1 (char 2)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 2 column 1 (char 2)
+
+
+2014 2010 Census Urban Area http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/uac10/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+USGS NGA https://ngtoc-metadata.nationalmap.gov/nga/GeographicNamesServer_GNS_NGA_ISO_19115_2.xml
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2015TigerRails http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/rails/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019cb_division https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/division/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Environmental Dataset Gateway FGDC CSDGM https://edg.epa.gov/WAFer_harvest/FGDC/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2016_coastline http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/coastline/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019_tract https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Collections/2019/tract/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Census TIGER 2012 Topological Faces-Area Landmark Relationship http://www2.census.gov/geo/datadotgov/facesal/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2018_zcta https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/zcta/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+NESDIS/NGDC/MGG/NOS/L00001-L02000 https://data.noaa.gov/waf/NOAA/NESDIS/NGDC/MGG/NOS/L00001-L02000/iso/xml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+NESDIS/NGDC/MGG/NOS/T00001-T02000 https://data.noaa.gov/waf/NOAA/NESDIS/NGDC/MGG/NOS/T00001-T02000/iso/xml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+NGDC STP DMSP https://data.noaa.gov/waf/NOAA/NESDIS/NGDC/STP/DMSP/iso/xml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+NESDIS/NGDC/MGG/NOS/H02001-H04000 https://data.noaa.gov/waf/NOAA/NESDIS/NGDC/MGG/NOS/H02001-H04000/iso/xml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+CoRIS Native ISO Metadata https://data.noaa.gov/waf/NOAA/coris/native/iso/xml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Census TIGER 2012 Place http://www2.census.gov/geo/datadotgov/place/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2016_kml_cbsa_20 http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016gz/kml_cbsa_20/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_csa_5 https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/csa_5/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019_coastline https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Tiger2019/coastline/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_sldl https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/sldl/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2015TigerArealm http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/arealm/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014cd11320m http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/cd113_20m/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Archived NGDA Standalones https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Archived_19115/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+FGDC WAF (for NPS Boundary Collection record) http://data.doi.gov/WAF/NPS-boundaries
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/connection.py", line 203, in _new_conn
+ sock = connection.create_connection(
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/util/connection.py", line 60, in create_connection
+ for res in socket.getaddrinfo(host, port, family, socket.SOCK_STREAM):
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/opt/homebrew/Cellar/python@3.11/3.11.4_1/Frameworks/Python.framework/Versions/3.11/lib/python3.11/socket.py", line 962, in getaddrinfo
+ for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+socket.gaierror: [Errno 8] nodename nor servname provided, or not known
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/connectionpool.py", line 790, in urlopen
+ response = self._make_request(
+ ^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/connectionpool.py", line 496, in _make_request
+ conn.request(
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/connection.py", line 395, in request
+ self.endheaders()
+ File "/opt/homebrew/Cellar/python@3.11/3.11.4_1/Frameworks/Python.framework/Versions/3.11/lib/python3.11/http/client.py", line 1281, in endheaders
+ self._send_output(message_body, encode_chunked=encode_chunked)
+ File "/opt/homebrew/Cellar/python@3.11/3.11.4_1/Frameworks/Python.framework/Versions/3.11/lib/python3.11/http/client.py", line 1041, in _send_output
+ self.send(msg)
+ File "/opt/homebrew/Cellar/python@3.11/3.11.4_1/Frameworks/Python.framework/Versions/3.11/lib/python3.11/http/client.py", line 979, in send
+ self.connect()
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/connection.py", line 243, in connect
+ self.sock = self._new_conn()
+ ^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/connection.py", line 210, in _new_conn
+ raise NameResolutionError(self.host, self, e) from e
+urllib3.exceptions.NameResolutionError: : Failed to resolve 'data.doi.gov' ([Errno 8] nodename nor servname provided, or not known)
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/adapters.py", line 486, in send
+ resp = conn.urlopen(
+ ^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/connectionpool.py", line 844, in urlopen
+ retries = retries.increment(
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/urllib3/util/retry.py", line 515, in increment
+ raise MaxRetryError(_pool, url, reason) from reason # type: ignore[arg-type]
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+urllib3.exceptions.MaxRetryError: HTTPConnectionPool(host='data.doi.gov', port=80): Max retries exceeded with url: /WAF/NPS-boundaries (Caused by NameResolutionError(": Failed to resolve 'data.doi.gov' ([Errno 8] nodename nor servname provided, or not known)"))
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/api.py", line 73, in get
+ return request("get", url, params=params, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/api.py", line 59, in request
+ return session.request(method=method, url=url, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/sessions.py", line 589, in request
+ resp = self.send(prep, **send_kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/sessions.py", line 703, in send
+ r = adapter.send(request, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/adapters.py", line 519, in send
+ raise ConnectionError(e, request=request)
+requests.exceptions.ConnectionError: HTTPConnectionPool(host='data.doi.gov', port=80): Max retries exceeded with url: /WAF/NPS-boundaries (Caused by NameResolutionError(": Failed to resolve 'data.doi.gov' ([Errno 8] nodename nor servname provided, or not known)"))
+
+
+2015TigerAreawater http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/areawater/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_kml_subbarrio_500k http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/subbarrio_500k/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2018_cbsa https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/cbsa/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_kml_nation_5m http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/nation_5m/cb_2014_us_nation_5m.kml.iso.xml
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 2 column 1 (char 2)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 2 column 1 (char 2)
+
+
+2015TigerFacesmil http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/facesmil/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014 Current County Subdivision http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/cousub/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_concity_500k http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/concity_500k/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2016_tract http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/tract/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014Nation20m http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/nation_20m/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Current Tribal Block Group National http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/tbg/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2018_facesmil https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/facesmil/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_aiannh https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2017/aiannh/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019_facesal https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Tiger2019/facesal/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019_bg https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Collections/2019/bg/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_csa_500k http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/csa_500k/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_county_5m http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/CartographicShapefiles/county_5m/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_concity_500kml https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/concity_500kml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2015TigerUnsd http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2015/unsd/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014ANRC http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/anrc_500k//
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014csa20 http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2014gz/csa_20m/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2010 Census Urban Area National http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/uac10/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_kml_csa_5m http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/csa_5m/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014 Current Elementary School Districts http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/elsd/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019cb_cousub https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/cousub/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_kml_division_500k http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/division_500k/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_county_within_cd115_500 https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/county_within_cd115_500/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014 Rails http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2014/rails/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+Current State Legislative District (SLD) Lower Chamber http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2013/sldl/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2016_nectadiv http://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/nectadiv/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2014_kml_csa_20m http://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2015gz/KMLFiles/csa_20m/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2018_cnecta https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2018/cnecta/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2017_division_5 https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2016Cartographic/division_5/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in
+ harvest_source.get_record_changes()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 202, in get_record_changes
+ self.get_harvest_records_as_id_hash()
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 193, in get_harvest_records_as_id_hash
+ self.harvest_to_id_hash(requests.get(self.url).json()["dataset"])
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 975, in json
+ raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
+requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+
+2019cb_concityKML https://meta.geo.census.gov/data/existing/decennial/GEO/CPMB/boundary/2019cb/concity_kml/
+Traceback (most recent call last):
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/requests/models.py", line 971, in json
+ return complexjson.loads(self.text, **kwargs)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/__init__.py", line 514, in loads
+ return _default_decoder.decode(s)
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 386, in decode
+ obj, end = self.raw_decode(s)
+ ^^^^^^^^^^^^^^^^^^
+ File "/Users/reidhewitt/Library/Caches/pypoetry/virtualenvs/datagov-harvesting-logic-sySHycX5-py3.11/lib/python3.11/site-packages/simplejson/decoder.py", line 416, in raw_decode
+ return self.scan_once(s, idx=_w(s, idx).end())
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+simplejson.errors.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "/Users/reidhewitt/work/xentity/datagov/datagov-harvesting-logic/harvester/harvest.py", line 528, in