use providers' name

baloola · baloola · commit e8b66d3bb4cc · 2025-01-14T09:42:51.000+01:00
diff --git a/stac_dist/ERA5_Land_monthly/ERA5_Land_monthly.json b/stac_dist/ERA5_Land_monthly/ERA5_Land_monthly.json
@@ -7,7 +7,7 @@
     "description": "ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using the laws of physics. Reanalysis produces data that goes several decades back in time, providing an accurate description of the climate of the past.\n\nERA5-Land provides a consistent view of the water and energy cycles at surface level during several decades. It contains a detailed record from 1950 onwards, with a temporal resolution of 1 hour. The native spatial resolution of the ERA5-Land reanalysis dataset is 9km on a reduced Gaussian grid (TCo1279). The data in the CDS has been regridded to a regular lat-lon grid of 0.1x0.1 degrees.\n\nThe data presented here is a post-processed subset of the full ERA5-Land dataset. Monthly-mean averages have been pre-calculated to facilitate many applications requiring easy and fast access to the data, when sub-monthly fields are not required.",
     "providers": [
       {
-        "organization": "ECMWF",
+        "name": "ECMWF",
         "doc_link": "https://confluence.ecmwf.int/display/CKB/ERA5-Land%3A+data+documentation"
       }
     ],
diff --git a/stac_dist/LGN/LGN.json b/stac_dist/LGN/LGN.json
@@ -8,7 +8,7 @@
     "providers": [
       {
         "organization_name": null,
-        "organization": "WENR",
+        "name": "WENR",
         "comments": "download via email; preprocessing by WENR to unify land use categories (which change over years)",
         "doc_link": "https://lgn.nl/, https://www.wur.nl/en/Research-Results/Research-Institutes/Environmental-Research/Facilities-Tools/Kaarten-en-GIS-bestanden/Land-use-database-of-the-Netherlands/What-is-the-LGN-database.htm",
         "organization_email": null,
diff --git a/stac_dist/Vienna_building_volume/Vienna_building_volume.json b/stac_dist/Vienna_building_volume/Vienna_building_volume.json
@@ -16,7 +16,7 @@
     "providers": [
       {
         "organization_name": "Stadt Wien",
-        "organization": "Stadt Wien",
+        "name": "Stadt Wien",
         "organization_email": "open@post.wien.gv.at",
         "roles": "licensor"
       }
diff --git a/stac_dist/Vienna_districts/Vienna_districts.json b/stac_dist/Vienna_districts/Vienna_districts.json
@@ -14,7 +14,7 @@
     "providers": [
       {
         "organization_name": "Stadt Wien",
-        "organization": "Stadt Wien",
+        "name": "Stadt Wien",
         "doc_link": "https://www.data.gv.at/katalog/dataset/2ee6b8bf-6292-413c-bb8b-bd22dbb2ad4b",
         "organization_email": "open@post.wien.gv.at",
         "roles": "licensor"
diff --git a/stac_dist/Vienna_imperviousness_density_2018/Vienna_imperviousness_density_2018.json b/stac_dist/Vienna_imperviousness_density_2018/Vienna_imperviousness_density_2018.json
@@ -11,7 +11,7 @@
     "providers": [
       {
         "organization_name": "European Environment Agency",
-        "organization": "European Environment Agency",
+        "name": "European Environment Agency",
         "comments": "",
         "doc_link": "https://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/524fa72f-61d7-4364-801e-3e271d7b10bc/formatters/xsl-view?root=div&view=advanced",
         "organization_email": "copernicus@eea.europa.eu",
diff --git a/stac_dist/Vienna_tree_cover_2018/Vienna_tree_cover_2018.json b/stac_dist/Vienna_tree_cover_2018/Vienna_tree_cover_2018.json
@@ -13,7 +13,7 @@
     "providers": [
       {
         "organization_name": "European Environment Agency",
-        "organization": "European Environment Agency",
+        "name": "European Environment Agency",
         "comments": "",
         "doc_link": "https://sdi.eea.europa.eu/catalogue/copernicus/all/catalog.search#/metadata/c7bf34ea-755c-4dbd-85b6-4efc5fd302a2",
         "organization_email": "copernicus@eea.europa.eu",
diff --git a/stac_dist/Vienna_vineyard_area/Vienna_vineyard_area.json b/stac_dist/Vienna_vineyard_area/Vienna_vineyard_area.json
@@ -8,7 +8,7 @@
     "providers": [
       {
         "organization_name": "Stadt Wien",
-        "organization": "Stadt Wien",
+        "name": "Stadt Wien",
         "organization_email": "open@post.wien.gv.at",
         "roles": "licensor"
       }
diff --git a/stac_dist/city_features_collection/city_features_collection.json b/stac_dist/city_features_collection/city_features_collection.json
@@ -7,7 +7,7 @@
     "description": "A collection of features for ~700 European cities, for the reference year 2018. The features are divided in three main thematic areas: land, climate and socioeconomic characteristics. In the current version it contains the following features:\n\n- environmental zone\n- city area ha\n- dem mean\n- imd percent 2018\n- treecover percent 2018\u00b4\n- Urban Atlas 2018 class 11100\n- Urban Atlas 2018 class 11210\n- Urban Atlas 2018 class 11220\n- Urban Atlas 2018 class 11230\n- Urban Atlas 2018 class 11240\n- Urban Atlas 2018 class 11300\n- Urban Atlas 2018 class 12100\n- Urban Atlas 2018 class 12210\n- Urban Atlas 2018 class 12220\n- Urban Atlas 2018 class 12230\n- Urban Atlas 2018 class 12300\n- Urban Atlas 2018 class 12400\n- Urban Atlas 2018 class 13100\n- Urban Atlas 2018 class 13300\n- Urban Atlas 2018 class 13400\n- Urban Atlas 2018 class 14100\n- Urban Atlas 2018 class 14200\n- Urban Atlas 2018 class 21000\n- Urban Atlas 2018 class 22000\n- Urban Atlas 2018 class 23000\n- Urban Atlas 2018 class 24000\n- Urban Atlas 2018 class 25000\n- Urban Atlas 2018 class 31000\n- Urban Atlas 2018 class 32000\n- Urban Atlas 2018 class 33000\n- Urban Atlas 2018 class 40000\n- Urban Atlas 2018 class 50000\n- urban blue percent\n- urban green percent\n- avg 2m temp kelvin 2018\n- number of summer days 2018\n- number of tropical nights 2018\n- utci heat nights 2018\n- coastal city\n- ESTAT de1001v 2018\n- ESTAT de1028v 2018\n- ESTAT de1055v 2018\n- ESTAT ec1174v 2018\n- ESTAT ec1010v 2018\n- ESTAT ec1020i 2018\n- ESTAT ec3040v 2018\n- ESTAT sa2013v 2018\n- ESTAT de1028i 2018\n- ESTAT de1055i 2018",
     "providers": [
       {
-        "organization": "FAIRiCUBE - Use Case 1",
+        "name": "FAIRiCUBE - Use Case 1",
         "comments": "Use Case 1 team processed and consolidated data from different data sources into this unique dataset.",
         "doc_link": "https://github.com/FAIRiCUBE/uc1-urban-climate",
         "roles": "processor",
diff --git a/stac_dist/land_use_luxembourg/land_use_luxembourg.json b/stac_dist/land_use_luxembourg/land_use_luxembourg.json
@@ -11,7 +11,7 @@
     "providers": [
       {
         "organization_name": "Ministre de l\u2019Environnement, du Climat et de la Biodiversit\u00e9 & Minist\u00e8re du Logement et de l\u2019Am\u00e9nagement du territoire - D\u00e9partement de l\u2019am\u00e9nagement du territoire",
-        "organization": "Ministre de l\u2019Environnement, du Climat et de la Biodiversit\u00e9 & Minist\u00e8re du Logement et de l\u2019Am\u00e9nagement du territoire - D\u00e9partement de l\u2019am\u00e9nagement du territoire",
+        "name": "Ministre de l\u2019Environnement, du Climat et de la Biodiversit\u00e9 & Minist\u00e8re du Logement et de l\u2019Am\u00e9nagement du territoire - D\u00e9partement de l\u2019am\u00e9nagement du territoire",
         "doc_link": "https://data.public.lu/fr/datasets/lis-l-land-use-2007-2015-2018/",
         "organization_email": "Patrick.Grivet@mev.etat.lu; Tom.Fourmann@mat.etat.lu; Marco.Tholl@mat.etat.lu",
         "roles": "licensor"

Original file line number	Diff line number	Diff line change
`@@ -7,7 +7,7 @@`
`7`	`7`	"description": "ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using the laws of physics. Reanalysis produces data that goes several decades back in time, providing an accurate description of the climate of the past.\n\nERA5-Land provides a consistent view of the water and energy cycles at surface level during several decades. It contains a detailed record from 1950 onwards, with a temporal resolution of 1 hour. The native spatial resolution of the ERA5-Land reanalysis dataset is 9km on a reduced Gaussian grid (TCo1279). The data in the CDS has been regridded to a regular lat-lon grid of 0.1x0.1 degrees.\n\nThe data presented here is a post-processed subset of the full ERA5-Land dataset. Monthly-mean averages have been pre-calculated to facilitate many applications requiring easy and fast access to the data, when sub-monthly fields are not required.",
`8`	`8`	`"providers": [`
`9`	`9`	`{`
`10`		`- "organization": "ECMWF",`
	`10`	`+ "name": "ECMWF",`
`11`	`11`	`"doc_link": "https://confluence.ecmwf.int/display/CKB/ERA5-Land%3A+data+documentation"`
`12`	`12`	`}`
`13`	`13`	`],`
Original file line number	Diff line number	Diff line change
`@@ -8,7 +8,7 @@`
`8`	`8`	`"providers": [`
`9`	`9`	`{`
`10`	`10`	`"organization_name": null,`
`11`		`- "organization": "WENR",`
	`11`	`+ "name": "WENR",`
`12`	`12`	`"comments": "download via email; preprocessing by WENR to unify land use categories (which change over years)",`
`13`	`13`	`"doc_link": "https://lgn.nl/, https://www.wur.nl/en/Research-Results/Research-Institutes/Environmental-Research/Facilities-Tools/Kaarten-en-GIS-bestanden/Land-use-database-of-the-Netherlands/What-is-the-LGN-database.htm",`
`14`	`14`	`"organization_email": null,`
Original file line number	Diff line number	Diff line change
`@@ -16,7 +16,7 @@`
`16`	`16`	`"providers": [`
`17`	`17`	`{`
`18`	`18`	`"organization_name": "Stadt Wien",`
`19`		`- "organization": "Stadt Wien",`
	`19`	`+ "name": "Stadt Wien",`
`20`	`20`	`"organization_email": "[email protected]",`
`21`	`21`	`"roles": "licensor"`
`22`	`22`	`}`
Original file line number	Diff line number	Diff line change
`@@ -14,7 +14,7 @@`
`14`	`14`	`"providers": [`
`15`	`15`	`{`
`16`	`16`	`"organization_name": "Stadt Wien",`
`17`		`- "organization": "Stadt Wien",`
	`17`	`+ "name": "Stadt Wien",`
`18`	`18`	`"doc_link": "https://www.data.gv.at/katalog/dataset/2ee6b8bf-6292-413c-bb8b-bd22dbb2ad4b",`
`19`	`19`	`"organization_email": "[email protected]",`
`20`	`20`	`"roles": "licensor"`
Original file line number	Diff line number	Diff line change
`@@ -11,7 +11,7 @@`
`11`	`11`	`"providers": [`
`12`	`12`	`{`
`13`	`13`	`"organization_name": "European Environment Agency",`
`14`		`- "organization": "European Environment Agency",`
	`14`	`+ "name": "European Environment Agency",`
`15`	`15`	`"comments": "",`
`16`	`16`	`"doc_link": "https://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/524fa72f-61d7-4364-801e-3e271d7b10bc/formatters/xsl-view?root=div&view=advanced",`
`17`	`17`	`"organization_email": "[email protected]",`
Original file line number	Diff line number	Diff line change
`@@ -13,7 +13,7 @@`
`13`	`13`	`"providers": [`
`14`	`14`	`{`
`15`	`15`	`"organization_name": "European Environment Agency",`
`16`		`- "organization": "European Environment Agency",`
	`16`	`+ "name": "European Environment Agency",`
`17`	`17`	`"comments": "",`
`18`	`18`	`"doc_link": "https://sdi.eea.europa.eu/catalogue/copernicus/all/catalog.search#/metadata/c7bf34ea-755c-4dbd-85b6-4efc5fd302a2",`
`19`	`19`	`"organization_email": "[email protected]",`
Original file line number	Diff line number	Diff line change
`@@ -7,7 +7,7 @@`
`7`	`7`	"description": "A collection of features for ~700 European cities, for the reference year 2018. The features are divided in three main thematic areas: land, climate and socioeconomic characteristics. In the current version it contains the following features:\n\n- environmental zone\n- city area ha\n- dem mean\n- imd percent 2018\n- treecover percent 2018\u00b4\n- Urban Atlas 2018 class 11100\n- Urban Atlas 2018 class 11210\n- Urban Atlas 2018 class 11220\n- Urban Atlas 2018 class 11230\n- Urban Atlas 2018 class 11240\n- Urban Atlas 2018 class 11300\n- Urban Atlas 2018 class 12100\n- Urban Atlas 2018 class 12210\n- Urban Atlas 2018 class 12220\n- Urban Atlas 2018 class 12230\n- Urban Atlas 2018 class 12300\n- Urban Atlas 2018 class 12400\n- Urban Atlas 2018 class 13100\n- Urban Atlas 2018 class 13300\n- Urban Atlas 2018 class 13400\n- Urban Atlas 2018 class 14100\n- Urban Atlas 2018 class 14200\n- Urban Atlas 2018 class 21000\n- Urban Atlas 2018 class 22000\n- Urban Atlas 2018 class 23000\n- Urban Atlas 2018 class 24000\n- Urban Atlas 2018 class 25000\n- Urban Atlas 2018 class 31000\n- Urban Atlas 2018 class 32000\n- Urban Atlas 2018 class 33000\n- Urban Atlas 2018 class 40000\n- Urban Atlas 2018 class 50000\n- urban blue percent\n- urban green percent\n- avg 2m temp kelvin 2018\n- number of summer days 2018\n- number of tropical nights 2018\n- utci heat nights 2018\n- coastal city\n- ESTAT de1001v 2018\n- ESTAT de1028v 2018\n- ESTAT de1055v 2018\n- ESTAT ec1174v 2018\n- ESTAT ec1010v 2018\n- ESTAT ec1020i 2018\n- ESTAT ec3040v 2018\n- ESTAT sa2013v 2018\n- ESTAT de1028i 2018\n- ESTAT de1055i 2018",
`8`	`8`	`"providers": [`
`9`	`9`	`{`
`10`		`- "organization": "FAIRiCUBE - Use Case 1",`
	`10`	`+ "name": "FAIRiCUBE - Use Case 1",`
`11`	`11`	`"comments": "Use Case 1 team processed and consolidated data from different data sources into this unique dataset.",`
`12`	`12`	`"doc_link": "https://github.com/FAIRiCUBE/uc1-urban-climate",`
`13`	`13`	`"roles": "processor",`