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StructureDataset-metadata.json
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StructureDataset-metadata.json
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{
"@context": [
"http://www.w3.org/ns/csvw",
{
"@language": "en"
}
],
"dc:bibliographicCitation": "Lima-Ribeiro MS; Varela S; Gonz\u00e1lez-Hern\u00e1ndez J; Oliveira G; Diniz-Filho JAF; Terribile LC. 2015. ecoClimate: a database of climate data from multiple models for past, present, and future for Macroecologists and Biogeographers Biodiversity Informatics 10, 1-21. DOI: 10.17161/bi.v10i0.4955\n\nLima-Ribeiro MS; Varela S; Gonz\u00e1lez-Hern\u00e1ndez J; Oliveira G; Diniz-Filho JAF; Peterson AT; Terribile LC. The ecoClimate Database, http://ecoclimate.org",
"dc:conformsTo": "http://cldf.clld.org/v1.0/terms.rdf#StructureDataset",
"dc:description": "Dataset Baseline Historical (1900-1949), CCSM ecoClimate model",
"dc:identifier": "https://www.ecoclimate.org/",
"dc:license": "https://creativecommons.org/licenses/by-nc-sa/4.0/",
"dc:references": [
"dplace-dataset-ea",
"dplace-dataset-binford",
"dplace-dataset-sccs",
"dplace-dataset-wnai"
],
"dc:title": "D-PLACE dataset derived from Lima-Ribeiro et al. 2015 'ecoClimate'",
"dcat:accessURL": "https://github.com/D-PLACE/dplace-dataset-ecoclimate",
"prov:wasDerivedFrom": [
{
"rdf:about": "https://github.com/D-PLACE/dplace-dataset-ecoclimate",
"rdf:type": "prov:Entity",
"dc:created": "v3.0",
"dc:title": "Repository"
},
{
"rdf:about": "https://github.com/glottolog/glottolog",
"rdf:type": "prov:Entity",
"dc:created": "v5.0",
"dc:title": "Glottolog"
}
],
"prov:wasGeneratedBy": [
{
"dc:title": "python",
"dc:description": "3.10.12"
},
{
"dc:title": "python-packages",
"dc:relation": "requirements.txt"
}
],
"rdf:ID": "dplace-dataset-ecoclimate",
"rdf:type": "http://www.w3.org/ns/dcat#Distribution",
"tables": [
{
"dc:conformsTo": "http://cldf.clld.org/v1.0/terms.rdf#ValueTable",
"dc:description": "Values are coded datapoints, i.e. measurements of a variable for a society.\n\n**Note:** Missing data is signaled by an empty Value column.",
"dc:extent": 19880,
"tableSchema": {
"columns": [
{
"datatype": {
"base": "string",
"format": "[a-zA-Z0-9_\\-]+"
},
"propertyUrl": "http://cldf.clld.org/v1.0/terms.rdf#id",
"required": true,
"name": "ID"
},
{
"dc:extent": "singlevalued",
"datatype": "string",
"propertyUrl": "http://cldf.clld.org/v1.0/terms.rdf#languageReference",
"required": true,
"name": "Soc_ID"
},
{
"dc:extent": "singlevalued",
"datatype": "string",
"propertyUrl": "http://cldf.clld.org/v1.0/terms.rdf#parameterReference",
"required": true,
"name": "Var_ID"
},
{
"dc:description": "Values for categorical and ordinal variables reference the corresponding code via the Code_ID column. Values for continuous variables have the measured number in the Value column and an empty Code_ID.",
"dc:extent": "singlevalued",
"datatype": "string",
"propertyUrl": "http://cldf.clld.org/v1.0/terms.rdf#value",
"required": false,
"name": "Value"
},
{
"dc:extent": "singlevalued",
"datatype": "string",
"propertyUrl": "http://cldf.clld.org/v1.0/terms.rdf#codeReference",
"required": false,
"name": "Code_ID"
},
{
"datatype": "string",
"propertyUrl": "http://cldf.clld.org/v1.0/terms.rdf#comment",
"required": false,
"name": "Comment"
},
{
"datatype": "string",
"propertyUrl": "http://cldf.clld.org/v1.0/terms.rdf#source",
"required": false,
"separator": ";",
"name": "Source"
},
{
"dc:description": "More specific description of the population the data refer to in terms of society or area.",
"name": "sub_case"
},
{
"dc:description": "Focal year, i.e. the time period to which the data refer.",
"datatype": {
"base": "string",
"format": "-?[0-9]{1,4}(-[0-9]{4})?"
},
"name": "year"
},
{
"dc:description": "The source of the coded data, which was aggregated in this dataset.",
"name": "source_coded_data"
},
{
"name": "admin_comment"
}
],
"foreignKeys": [
{
"columnReference": [
"Var_ID"
],
"reference": {
"resource": "variables.csv",
"columnReference": [
"ID"
]
}
}
],
"primaryKey": [
"ID"
]
},
"url": "data.csv"
},
{
"dc:conformsTo": "http://cldf.clld.org/v1.0/terms.rdf#ParameterTable",
"dc:description": "Variables are cultural features or practices, or environmental descriptors.",
"dc:extent": 10,
"tableSchema": {
"columns": [
{
"datatype": {
"base": "string",
"format": "[A-Za-z.0-9_]+([0-9]+)?"
},
"propertyUrl": "http://cldf.clld.org/v1.0/terms.rdf#id",
"required": true,
"name": "ID"
},
{
"datatype": "string",
"propertyUrl": "http://cldf.clld.org/v1.0/terms.rdf#name",
"required": false,
"name": "Name"
},
{
"datatype": "string",
"propertyUrl": "http://cldf.clld.org/v1.0/terms.rdf#description",
"required": false,
"name": "Description"
},
{
"datatype": "json",
"propertyUrl": "http://cldf.clld.org/v1.0/terms.rdf#columnSpec",
"required": false,
"name": "ColumnSpec"
},
{
"dc:description": "",
"separator": ", ",
"name": "category"
},
{
"dc:description": "Variables may be categorical (and then must be accompanied by a list of possible \u2018codes\u2019, i.e. rows in Codetable. Variables can also be continuous (e.g. Population size) or ordinal. Ordinal variables are accompanied by a list of codes (like categorical variables). The order of codes is encoded as `ord` column in CodeTable.",
"datatype": {
"base": "string",
"format": "Continuous|Categorical|Ordinal"
},
"name": "type"
},
{
"dc:description": "The unit of measurement",
"name": "unit"
},
{
"dc:description": "A note about the source of this variable.",
"name": "source_comment"
},
{
"dc:description": "Notes about how a variable may have been derived from the source.",
"name": "changes"
},
{
"propertyUrl": "http://cldf.clld.org/v1.0/terms.rdf#comment",
"name": "comment"
}
],
"primaryKey": [
"ID"
]
},
"url": "variables.csv"
}
]
}