diff --git a/hda/utils.py b/hda/utils.py
index e247f6b..538f208 100644
--- a/hda/utils.py
+++ b/hda/utils.py
@@ -2,6 +2,41 @@
 
 logger = logging.getLogger(__name__)
 
+DATASET_MAPPING = {
+    "EO:CLMS:DAT:CGLS_DAILY10_LST_DC_GLOBAL_V1": "EO:CLMS:DAT:CLMS_GLOBAL_LST_5KM_V1_10DAILY-DAILY-CYCLE_NETCDF",
+    "EO:CLMS:DAT:CGLS_DAILY10_LST_DC_GLOBAL_V2": "EO:CLMS:DAT:CLMS_GLOBAL_LST_5KM_V2_10DAILY-DAILY-CYCLE_NETCDF",
+    "EO:CLMS:DAT:CGLS_DAILY10_LST_TCI_GLOBAL_V1": "EO:CLMS:DAT:CLMS_GLOBAL_LST_5KM_V1_10DAILY-TCI_NETCDF",
+    "EO:CLMS:DAT:CGLS_DAILY10_LST_TCI_GLOBAL_V2": "EO:CLMS:DAT:CLMS_GLOBAL_LST_5KM_V2_10DAILY-TCI_NETCDF",
+    "EO:CLMS:DAT:CGLS_GLOBAL_ALBH_V1_1KM": "EO:CLMS:DAT:CLMS_GLOBAL_ALBH_1KM_V1_10DAILY_NETCDF",
+    "EO:CLMS:DAT:CGLS_GLOBAL_ALDH_V1_1KM": "EO:CLMS:DAT:CLMS_GLOBAL_ALDH_1KM_V1_10DAILY_NETCDF",
+    "EO:CLMS:DAT:CGLS_GLOBAL_DMP300_V1_333M": "EO:CLMS:DAT:CLMS_GLOBAL_DMP_300M_V1_10DAILY_NETCDF",
+    "EO:CLMS:DAT:CGLS_GLOBAL_DMP_V2_1KM": "EO:CLMS:DAT:CLMS_GLOBAL_DMP_1KM_V2_10DAILY_NETCDF",
+    "EO:CLMS:DAT:CGLS_GLOBAL_FAPAR300_V1_333M": "EO:CLMS:DAT:CLMS_GLOBAL_FAPAR_300M_V1_10DAILY_NETCDF",
+    "EO:CLMS:DAT:CGLS_GLOBAL_FAPAR_V1_1KM": "EO:CLMS:DAT:CLMS_GLOBAL_FAPAR_1KM_V1_10DAILY_NETCDF",
+    "EO:CLMS:DAT:CGLS_GLOBAL_FAPAR_V2_1KM": "EO:CLMS:DAT:CLMS_GLOBAL_FAPAR_1KM_V2_10DAILY_NETCDF",
+    "EO:CLMS:DAT:CGLS_GLOBAL_FCOVER300_V1_333M": "EO:CLMS:DAT:CLMS_GLOBAL_FCOVER_300M_V1_10DAILY_NETCDF",
+    "EO:CLMS:DAT:CGLS_GLOBAL_FCOVER_V1_1KM": "EO:CLMS:DAT:CLMS_GLOBAL_FCOVER_1KM_V1_10DAILY_NETCDF",
+    "EO:CLMS:DAT:CGLS_GLOBAL_FCOVER_V2_1KM": "EO:CLMS:DAT:CLMS_GLOBAL_FCOVER_1KM_V2_10DAILY_NETCDF",
+    "EO:CLMS:DAT:CGLS_GLOBAL_GDMP300_V1_333M": "EO:CLMS:DAT:CLMS_GLOBAL_GDMP_300M_V1_10DAILY_NETCDF",
+    "EO:CLMS:DAT:CGLS_GLOBAL_GDMP_V2_1KM": "EO:CLMS:DAT:CLMS_GLOBAL_GDMP_1KM_V2_10DAILY_NETCDF",
+    "EO:CLMS:DAT:CGLS_GLOBAL_LAI300_V1_333M": "EO:CLMS:DAT:CLMS_GLOBAL_LAI_300M_V1_10DAILY_NETCDF",
+    "EO:CLMS:DAT:CGLS_GLOBAL_LAI_V1_1KM": "EO:CLMS:DAT:CLMS_GLOBAL_LAI_1KM_V1_10DAILY_NETCDF",
+    "EO:CLMS:DAT:CGLS_GLOBAL_LAI_V2_1KM": "EO:CLMS:DAT:CLMS_GLOBAL_LAI_1KM_V2_10DAILY_NETCDF",
+    "EO:CLMS:DAT:CGLS_GLOBAL_NDVI300_V1_333M": "EO:CLMS:DAT:CLMS_GLOBAL_NDVI_300M_V1_10DAILY_NETCDF",
+    "EO:CLMS:DAT:CGLS_GLOBAL_NDVI300_V2_333M": "EO:CLMS:DAT:CLMS_GLOBAL_NDVI_300M_V2_10DAILY_NETCDF",
+    "EO:CLMS:DAT:CGLS_GLOBAL_NDVI_V2_1KM": "EO:CLMS:DAT:CLMS_GLOBAL_NDVI_1KM_V2_10DAILY_NETCDF",
+    "EO:CLMS:DAT:CGLS_GLOBAL_NDVI_V3_1KM": "EO:CLMS:DAT:CLMS_GLOBAL_NDVI_1KM_V3_10DAILY_NETCDF",
+    "EO:CLMS:DAT:CGLS_GLOBAL_SWI10_V3_0.1DEGREE": "EO:CLMS:DAT:CLMS_GLOBAL_SWI_12.5KM_V3_10DAILY_NETCDF",
+    "EO:CLMS:DAT:CGLS_HOURLY_LST_GLOBAL_V1": "EO:CLMS:DAT:CLMS_GLOBAL_LST_5KM_V1_HOURLY_NETCDF",
+    "EO:CLMS:DAT:CGLS_HOURLY_LST_GLOBAL_V2": "EO:CLMS:DAT:CLMS_GLOBAL_LST_5KM_V2_HOURLY_NETCDF",
+    "EO:EEA:DAT:VEGETATION_DAILY_SWI_12.5KM_GLOBAL_V3": "EO:CLMS:DAT:CLMS_GLOBAL_SWI_12.5KM_V3_DAILY_NETCDF",
+    "EO:EEA:DAT:VEGETATION:DAILY_SWI_1KM_EUROPE_V1": "EO:CLMS:DAT:CLMS_GLOBAL_SWI_1KM_V1_DAILY_NETCDF",
+    "EO:EEA:DAT:ENERGY_TOCR_1KM_GLOBAL_V1": "EO:CLMS:DAT:CLMS_GLOBAL_TOCR_1KM_V1_10DAILY_NETCDF",
+    "EO:EEA:DAT:VEGETATION:DAILY_SWI_12.5KM_GLOBAL_V3": "EO:CLMS:DAT:CLMS_GLOBAL_SSM_1KM_V1_DAILY_NETCDF",
+    "EO:ESA:DAT:SENTINEL-1:SAR": "EO:ESA:DAT:SENTINEL-1",
+    "EO:ESA:DAT:SENTINEL-2:MSI": "EO:ESA:DAT:SENTINEL-2",
+}
+
 
 def convert(query):
     """Converts a query in HDA v1 format into an HDA v2 one.
@@ -19,6 +54,7 @@ def convert(query):
     )
 
     # Modify the JSON query according to the new structure
+    dataset_id = DATASET_MAPPING.get(dataset_id, dataset_id)
     new_query = {"dataset_id": dataset_id}
 
     # Check if the original JSON has the "dateRangeSelectValues" field
@@ -32,7 +68,7 @@ def convert(query):
             if dataset_id.startswith("EO:ECMWF:DAT:CAMS_"):
                 new_query["dtstart"] = start
                 new_query["dtend"] = end
-            elif dataset_id.startswith("EO:CLMS:DAT:CGLS"):
+            elif dataset_id.startswith("EO:CLMS:DAT:"):
                 new_query["start"] = start
                 new_query["end"] = end
             elif dataset_id.startswith("EO:MO:DAT:"):