diff --git a/CHANGELOG.md b/CHANGELOG.md
index 1f860329..7a748969 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -11,6 +11,7 @@ and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.
- Fix usage documentation of `ItemSearch`
- Fix fields argument to CLI ([#797](https://github.com/stac-utils/pystac-client/pull/797))
+- Fix recursive search in `Client.get_items` ([#799](https://github.com/stac-utils/pystac-client/pull/799))
## [v0.8.6] - 2025-02-11
diff --git a/pystac_client/client.py b/pystac_client/client.py
index f7eb7c6c..0d2d634a 100644
--- a/pystac_client/client.py
+++ b/pystac_client/client.py
@@ -443,21 +443,34 @@ def get_collections(self) -> Iterator[Collection]:
call_modifier(self.modifier, collection)
yield collection
- def get_items(
- self, *ids: str, recursive: bool | None = None
- ) -> Iterator["Item_Type"]:
+ def get_items(self, *ids: str, recursive: bool = True) -> Iterator["Item_Type"]:
"""Return all items of this catalog.
Args:
ids: Zero or more item ids to find.
- recursive: unused in pystac-client, but needed for falling back to pystac
+ recursive : If True, search this catalog and all children for the
+ item; otherwise, only search the items of this catalog. Defaults
+ to True.
Return:
Iterator[Item]: Iterator of items whose parent is this
catalog.
"""
if self.conforms_to(ConformanceClasses.ITEM_SEARCH):
- search = self.search(ids=ids)
+ # Previously, recursive=None was treated the same as recursive=True.
+ # This if statement maintains this behaviour for backwards compatibility.
+ if recursive is not False:
+ search = self.search(ids=ids)
+ try:
+ yield from search.items()
+ return
+ except APIError:
+ child_catalogs = [catalog.id for catalog, _, _ in self.walk()]
+ search = self.search(
+ ids=ids, collections=[self.id, *child_catalogs]
+ )
+ else:
+ search = self.search(ids=ids, collections=[self.id])
yield from search.items()
else:
self._warn_about_fallback("ITEM_SEARCH")
diff --git a/tests/cassettes/test_client/test_get_items_non_recursion.yaml b/tests/cassettes/test_client/test_get_items_non_recursion.yaml
new file mode 100644
index 00000000..f3f020e9
--- /dev/null
+++ b/tests/cassettes/test_client/test_get_items_non_recursion.yaml
@@ -0,0 +1,232 @@
+interactions:
+- request:
+ body: null
+ headers:
+ Accept:
+ - '*/*'
+ Accept-Encoding:
+ - gzip, deflate
+ Connection:
+ - keep-alive
+ User-Agent:
+ - python-requests/2.32.3
+ method: GET
+ uri: https://planetarycomputer.microsoft.com/api/stac/v1/
+ response:
+ body:
+ string: '{"type":"Catalog","id":"microsoft-pc","title":"Microsoft Planetary
+ Computer STAC API","description":"Searchable spatiotemporal metadata describing
+ Earth science datasets hosted by the Microsoft Planetary Computer","stac_version":"1.0.0","conformsTo":["https://api.stacspec.org/v1.0.0/collections","https://api.stacspec.org/v1.0.0/item-search#fields","https://api.stacspec.org/v1.0.0/core","https://api.stacspec.org/v1.0.0/item-search#sort","http://www.opengis.net/spec/ogcapi-features-3/1.0/conf/filter","https://api.stacspec.org/v1.0.0/item-search","http://www.opengis.net/spec/cql2/1.0/conf/basic-cql2","http://www.opengis.net/spec/ogcapi-features-1/1.0/conf/oas30","https://api.stacspec.org/v1.0.0/ogcapi-features","https://api.stacspec.org/v1.0.0-rc.2/item-search#filter","http://www.opengis.net/spec/ogcapi-features-1/1.0/conf/core","https://api.stacspec.org/v1.0.0/item-search#query","http://www.opengis.net/spec/cql2/1.0/conf/cql2-text","http://www.opengis.net/spec/ogcapi-features-1/1.0/conf/geojson","http://www.opengis.net/spec/cql2/1.0/conf/cql2-json"],"links":[{"rel":"self","type":"application/json","href":"https://planetarycomputer.microsoft.com/api/stac/v1/"},{"rel":"root","type":"application/json","href":"https://planetarycomputer.microsoft.com/api/stac/v1/"},{"rel":"data","type":"application/json","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections"},{"rel":"conformance","type":"application/json","title":"STAC/OGC
+ conformance classes implemented by this server","href":"https://planetarycomputer.microsoft.com/api/stac/v1/conformance"},{"rel":"search","type":"application/geo+json","title":"STAC
+ search","href":"https://planetarycomputer.microsoft.com/api/stac/v1/search","method":"GET"},{"rel":"search","type":"application/geo+json","title":"STAC
+ search","href":"https://planetarycomputer.microsoft.com/api/stac/v1/search","method":"POST"},{"rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json","title":"Queryables","href":"https://planetarycomputer.microsoft.com/api/stac/v1/queryables","method":"GET"},{"rel":"child","type":"application/json","title":"Daymet
+ Annual Puerto Rico","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/daymet-annual-pr"},{"rel":"child","type":"application/json","title":"Daymet
+ Daily Hawaii","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/daymet-daily-hi"},{"rel":"child","type":"application/json","title":"USGS
+ 3DEP Seamless DEMs","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/3dep-seamless"},{"rel":"child","type":"application/json","title":"USGS
+ 3DEP Lidar Digital Surface Model","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/3dep-lidar-dsm"},{"rel":"child","type":"application/json","title":"Forest
+ Inventory and Analysis","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/fia"},{"rel":"child","type":"application/json","title":"Sentinel
+ 1 Radiometrically Terrain Corrected (RTC)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/sentinel-1-rtc"},{"rel":"child","type":"application/json","title":"gridMET","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/gridmet"},{"rel":"child","type":"application/json","title":"Daymet
+ Annual North America","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/daymet-annual-na"},{"rel":"child","type":"application/json","title":"Daymet
+ Monthly North America","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/daymet-monthly-na"},{"rel":"child","type":"application/json","title":"Daymet
+ Annual Hawaii","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/daymet-annual-hi"},{"rel":"child","type":"application/json","title":"Daymet
+ Monthly Hawaii","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/daymet-monthly-hi"},{"rel":"child","type":"application/json","title":"Daymet
+ Monthly Puerto Rico","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/daymet-monthly-pr"},{"rel":"child","type":"application/json","title":"gNATSGO
+ Soil Database - Tables","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/gnatsgo-tables"},{"rel":"child","type":"application/json","title":"HGB:
+ Harmonized Global Biomass for 2010","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/hgb"},{"rel":"child","type":"application/json","title":"Copernicus
+ DEM GLO-30","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/cop-dem-glo-30"},{"rel":"child","type":"application/json","title":"Copernicus
+ DEM GLO-90","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/cop-dem-glo-90"},{"rel":"child","type":"application/json","title":"TerraClimate","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/terraclimate"},{"rel":"child","type":"application/json","title":"Earth
+ Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/nasa-nex-gddp-cmip6"},{"rel":"child","type":"application/json","title":"GPM
+ IMERG","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/gpm-imerg-hhr"},{"rel":"child","type":"application/json","title":"gNATSGO
+ Soil Database - Rasters","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/gnatsgo-rasters"},{"rel":"child","type":"application/json","title":"USGS
+ 3DEP Lidar Height above Ground","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/3dep-lidar-hag"},{"rel":"child","type":"application/json","title":"10m
+ Annual Land Use Land Cover (9-class) V2","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/io-lulc-annual-v02"},{"rel":"child","type":"application/json","title":"GOES-R
+ Cloud & Moisture Imagery","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/goes-cmi"},{"rel":"child","type":"application/json","title":"CONUS404","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/conus404"},{"rel":"child","type":"application/json","title":"USGS
+ 3DEP Lidar Intensity","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/3dep-lidar-intensity"},{"rel":"child","type":"application/json","title":"USGS
+ 3DEP Lidar Point Source","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/3dep-lidar-pointsourceid"},{"rel":"child","type":"application/json","title":"MTBS:
+ Monitoring Trends in Burn Severity","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/mtbs"},{"rel":"child","type":"application/json","title":"C-CAP
+ Regional Land Cover and Change","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/noaa-c-cap"},{"rel":"child","type":"application/json","title":"USGS
+ 3DEP Lidar Point Cloud","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/3dep-lidar-copc"},{"rel":"child","type":"application/json","title":"MODIS
+ Burned Area Monthly","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/modis-64A1-061"},{"rel":"child","type":"application/json","title":"ALOS
+ Forest/Non-Forest Annual Mosaic","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/alos-fnf-mosaic"},{"rel":"child","type":"application/json","title":"USGS
+ 3DEP Lidar Returns","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/3dep-lidar-returns"},{"rel":"child","type":"application/json","title":"MoBI:
+ Map of Biodiversity Importance","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/mobi"},{"rel":"child","type":"application/json","title":"Landsat
+ Collection 2 Level-2","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2"},{"rel":"child","type":"application/json","title":"ERA5
+ - PDS","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/era5-pds"},{"rel":"child","type":"application/json","title":"Chloris
+ Biomass","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/chloris-biomass"},{"rel":"child","type":"application/json","title":"HydroForecast
+ - Kwando & Upper Zambezi Rivers","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/kaza-hydroforecast"},{"rel":"child","type":"application/json","title":"Planet-NICFI
+ Basemaps (Analytic)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/planet-nicfi-analytic"},{"rel":"child","type":"application/json","title":"MODIS
+ Gross Primary Productivity 8-Day","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/modis-17A2H-061"},{"rel":"child","type":"application/json","title":"MODIS
+ Land Surface Temperature/Emissivity 8-Day","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/modis-11A2-061"},{"rel":"child","type":"application/json","title":"Daymet
+ Daily Puerto Rico","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/daymet-daily-pr"},{"rel":"child","type":"application/json","title":"USGS
+ 3DEP Lidar Digital Terrain Model (Native)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/3dep-lidar-dtm-native"},{"rel":"child","type":"application/json","title":"USGS
+ 3DEP Lidar Classification","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/3dep-lidar-classification"},{"rel":"child","type":"application/json","title":"USGS
+ 3DEP Lidar Digital Terrain Model","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/3dep-lidar-dtm"},{"rel":"child","type":"application/json","title":"USGS
+ Gap Land Cover","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/gap"},{"rel":"child","type":"application/json","title":"MODIS
+ Gross Primary Productivity 8-Day Gap-Filled","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/modis-17A2HGF-061"},{"rel":"child","type":"application/json","title":"Planet-NICFI
+ Basemaps (Visual)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/planet-nicfi-visual"},{"rel":"child","type":"application/json","title":"Global
+ Biodiversity Information Facility (GBIF)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/gbif"},{"rel":"child","type":"application/json","title":"MODIS
+ Net Primary Production Yearly Gap-Filled","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/modis-17A3HGF-061"},{"rel":"child","type":"application/json","title":"MODIS
+ Surface Reflectance 8-Day (500m)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/modis-09A1-061"},{"rel":"child","type":"application/json","title":"ALOS
+ World 3D-30m","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/alos-dem"},{"rel":"child","type":"application/json","title":"ALOS
+ PALSAR Annual Mosaic","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/alos-palsar-mosaic"},{"rel":"child","type":"application/json","title":"Deltares
+ Global Water Availability","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/deltares-water-availability"},{"rel":"child","type":"application/json","title":"MODIS
+ Net Evapotranspiration Yearly Gap-Filled","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/modis-16A3GF-061"},{"rel":"child","type":"application/json","title":"MODIS
+ Land Surface Temperature/3-Band Emissivity 8-Day","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/modis-21A2-061"},{"rel":"child","type":"application/json","title":"US
+ Census","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/us-census"},{"rel":"child","type":"application/json","title":"JRC
+ Global Surface Water","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/jrc-gsw"},{"rel":"child","type":"application/json","title":"Deltares
+ Global Flood Maps","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/deltares-floods"},{"rel":"child","type":"application/json","title":"MODIS
+ Nadir BRDF-Adjusted Reflectance (NBAR) Daily","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/modis-43A4-061"},{"rel":"child","type":"application/json","title":"MODIS
+ Surface Reflectance 8-Day (250m)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/modis-09Q1-061"},{"rel":"child","type":"application/json","title":"MODIS
+ Thermal Anomalies/Fire Daily","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/modis-14A1-061"},{"rel":"child","type":"application/json","title":"HREA:
+ High Resolution Electricity Access","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/hrea"},{"rel":"child","type":"application/json","title":"MODIS
+ Vegetation Indices 16-Day (250m)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/modis-13Q1-061"},{"rel":"child","type":"application/json","title":"MODIS
+ Thermal Anomalies/Fire 8-Day","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/modis-14A2-061"},{"rel":"child","type":"application/json","title":"Sentinel-2
+ Level-2A","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/sentinel-2-l2a"},{"rel":"child","type":"application/json","title":"MODIS
+ Leaf Area Index/FPAR 8-Day","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/modis-15A2H-061"},{"rel":"child","type":"application/json","title":"MODIS
+ Land Surface Temperature/Emissivity Daily","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/modis-11A1-061"},{"rel":"child","type":"application/json","title":"MODIS
+ Leaf Area Index/FPAR 4-Day","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/modis-15A3H-061"},{"rel":"child","type":"application/json","title":"MODIS
+ Vegetation Indices 16-Day (500m)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/modis-13A1-061"},{"rel":"child","type":"application/json","title":"Daymet
+ Daily North America","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/daymet-daily-na"},{"rel":"child","type":"application/json","title":"Land
+ Cover of Canada","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/nrcan-landcover"},{"rel":"child","type":"application/json","title":"MODIS
+ Snow Cover 8-day","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/modis-10A2-061"},{"rel":"child","type":"application/json","title":"ECMWF
+ Open Data (real-time)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/ecmwf-forecast"},{"rel":"child","type":"application/json","title":"NOAA
+ MRMS QPE 24-Hour Pass 2","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/noaa-mrms-qpe-24h-pass2"},{"rel":"child","type":"application/json","title":"Sentinel
+ 1 Level-1 Ground Range Detected (GRD)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/sentinel-1-grd"},{"rel":"child","type":"application/json","title":"NASADEM
+ HGT v001","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/nasadem"},{"rel":"child","type":"application/json","title":"Esri
+ 10-Meter Land Cover (10-class)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/io-lulc"},{"rel":"child","type":"application/json","title":"Landsat
+ Collection 2 Level-1","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l1"},{"rel":"child","type":"application/json","title":"Denver
+ Regional Council of Governments Land Use Land Cover","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/drcog-lulc"},{"rel":"child","type":"application/json","title":"Chesapeake
+ Land Cover (7-class)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/chesapeake-lc-7"},{"rel":"child","type":"application/json","title":"Chesapeake
+ Land Cover (13-class)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/chesapeake-lc-13"},{"rel":"child","type":"application/json","title":"Chesapeake
+ Land Use","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/chesapeake-lu"},{"rel":"child","type":"application/json","title":"NOAA
+ MRMS QPE 1-Hour Pass 1","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/noaa-mrms-qpe-1h-pass1"},{"rel":"child","type":"application/json","title":"NOAA
+ MRMS QPE 1-Hour Pass 2","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/noaa-mrms-qpe-1h-pass2"},{"rel":"child","type":"application/json","title":"Monthly
+ NOAA U.S. Climate Gridded Dataset (NClimGrid)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/noaa-nclimgrid-monthly"},{"rel":"child","type":"application/json","title":"USDA
+ Cropland Data Layers (CDLs)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/usda-cdl"},{"rel":"child","type":"application/json","title":"Urban
+ Innovation Eclipse Sensor Data","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/eclipse"},{"rel":"child","type":"application/json","title":"ESA
+ Climate Change Initiative Land Cover Maps (Cloud Optimized GeoTIFF)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/esa-cci-lc"},{"rel":"child","type":"application/json","title":"ESA
+ Climate Change Initiative Land Cover Maps (NetCDF)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/esa-cci-lc-netcdf"},{"rel":"child","type":"application/json","title":"FWS
+ National Wetlands Inventory","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/fws-nwi"},{"rel":"child","type":"application/json","title":"USGS
+ LCMAP CONUS Collection 1.3","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/usgs-lcmap-conus-v13"},{"rel":"child","type":"application/json","title":"USGS
+ LCMAP Hawaii Collection 1.0","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/usgs-lcmap-hawaii-v10"},{"rel":"child","type":"application/json","title":"NOAA
+ US Tabular Climate Normals","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/noaa-climate-normals-tabular"},{"rel":"child","type":"application/json","title":"NOAA
+ US Gridded Climate Normals (NetCDF)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/noaa-climate-normals-netcdf"},{"rel":"child","type":"application/json","title":"GOES-R
+ Lightning Detection","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/goes-glm"},{"rel":"child","type":"application/json","title":"NOAA
+ US Gridded Climate Normals (Cloud-Optimized GeoTIFF)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/noaa-climate-normals-gridded"},{"rel":"child","type":"application/json","title":"ASTER
+ L1T","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/aster-l1t"},{"rel":"child","type":"application/json","title":"CIL
+ Global Downscaled Projections for Climate Impacts Research (CC-BY-SA-4.0)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/cil-gdpcir-cc-by-sa"},{"rel":"child","type":"application/json","title":"NAIP:
+ National Agriculture Imagery Program","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/naip"},{"rel":"child","type":"application/json","title":"10m
+ Annual Land Use Land Cover (9-class) V1","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/io-lulc-9-class"},{"rel":"child","type":"application/json","title":"Biodiversity
+ Intactness","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/io-biodiversity"},{"rel":"child","type":"application/json","title":"Sea
+ Surface Temperature - WHOI CDR","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/noaa-cdr-sea-surface-temperature-whoi"},{"rel":"child","type":"application/json","title":"Global
+ Ocean Heat Content CDR","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/noaa-cdr-ocean-heat-content"},{"rel":"child","type":"application/json","title":"CIL
+ Global Downscaled Projections for Climate Impacts Research (CC0-1.0)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/cil-gdpcir-cc0"},{"rel":"child","type":"application/json","title":"CIL
+ Global Downscaled Projections for Climate Impacts Research (CC-BY-4.0)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/cil-gdpcir-cc-by"},{"rel":"child","type":"application/json","title":"Sea
+ Surface Temperature - WHOI CDR NetCDFs","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/noaa-cdr-sea-surface-temperature-whoi-netcdf"},{"rel":"child","type":"application/json","title":"Sea
+ Surface Temperature - Optimum Interpolation CDR","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/noaa-cdr-sea-surface-temperature-optimum-interpolation"},{"rel":"child","type":"application/json","title":"MODIS
+ Snow Cover Daily","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/modis-10A1-061"},{"rel":"child","type":"application/json","title":"Sentinel-5P
+ Level-2","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/sentinel-5p-l2-netcdf"},{"rel":"child","type":"application/json","title":"Sentinel-3
+ Water (Full Resolution)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/sentinel-3-olci-wfr-l2-netcdf"},{"rel":"child","type":"application/json","title":"Global
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+ Landsat Sentinel-2 (HLS) Version 2.0, Landsat Data","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/hls2-l30"},{"rel":"child","type":"application/json","title":"Sentinel-3
+ Global Aerosol","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/sentinel-3-synergy-aod-l2-netcdf"},{"rel":"child","type":"application/json","title":"Sentinel-3
+ 10-Day Surface Reflectance and NDVI (SPOT VEGETATION)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/sentinel-3-synergy-v10-l2-netcdf"},{"rel":"child","type":"application/json","title":"Sentinel-3
+ Land (Full Resolution)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/sentinel-3-olci-lfr-l2-netcdf"},{"rel":"child","type":"application/json","title":"Sentinel-3
+ Land Radar Altimetry","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/sentinel-3-sral-lan-l2-netcdf"},{"rel":"child","type":"application/json","title":"Sentinel-3
+ Land Surface Temperature","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/sentinel-3-slstr-lst-l2-netcdf"},{"rel":"child","type":"application/json","title":"Sentinel-3
+ Sea Surface Temperature","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/sentinel-3-slstr-wst-l2-netcdf"},{"rel":"child","type":"application/json","title":"Sentinel-3
+ Ocean Radar Altimetry","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/sentinel-3-sral-wat-l2-netcdf"},{"rel":"child","type":"application/json","title":"Harmonized
+ Landsat Sentinel-2 (HLS) Version 2.0, Sentinel-2 Data","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/hls2-s30"},{"rel":"child","type":"application/json","title":"Microsoft
+ Building Footprints","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/ms-buildings"},{"rel":"child","type":"application/json","title":"Sentinel-3
+ Fire Radiative Power","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/sentinel-3-slstr-frp-l2-netcdf"},{"rel":"child","type":"application/json","title":"Sentinel-3
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+ service description","href":"https://planetarycomputer.microsoft.com/api/stac/v1/openapi.json"},{"rel":"service-doc","type":"text/html","title":"OpenAPI
+ service documentation","href":"https://planetarycomputer.microsoft.com/api/stac/v1/docs"}],"stac_extensions":[]}'
+ headers:
+ Accept-Ranges:
+ - bytes
+ Access-Control-Allow-Credentials:
+ - 'true'
+ Access-Control-Allow-Headers:
+ - X-PC-Request-Entity,DNT,Keep-Alive,User-Agent,X-Requested-With,If-Modified-Since,Cache-Control,Content-Type,Authorization
+ Access-Control-Allow-Methods:
+ - PUT, GET, POST, OPTIONS
+ Access-Control-Allow-Origin:
+ - '*'
+ Access-Control-Max-Age:
+ - '1728000'
+ Connection:
+ - keep-alive
+ Content-Length:
+ - '3361'
+ Content-Type:
+ - application/json
+ Date:
+ - Wed, 14 May 2025 18:18:56 GMT
+ Strict-Transport-Security:
+ - max-age=31536000; includeSubDomains
+ X-Cache:
+ - CONFIG_NOCACHE
+ content-encoding:
+ - gzip
+ vary:
+ - Accept-Encoding
+ x-azure-ref:
+ - 20250514T181856Z-r159ff9f48bhfp8mhC1YTO8gk00000000da0000000009414
+ status:
+ code: 200
+ message: OK
+- request:
+ body: '{"collections": ["microsoft-pc"]}'
+ headers:
+ Accept:
+ - '*/*'
+ Accept-Encoding:
+ - gzip, deflate
+ Connection:
+ - keep-alive
+ Content-Length:
+ - '33'
+ Content-Type:
+ - application/json
+ User-Agent:
+ - python-requests/2.32.3
+ method: POST
+ uri: https://planetarycomputer.microsoft.com/api/stac/v1/search
+ response:
+ body:
+ string: '{"type":"FeatureCollection","features":[],"links":[{"rel":"root","type":"application/json","href":"https://planetarycomputer.microsoft.com/api/stac/v1/"},{"rel":"self","type":"application/json","href":"https://planetarycomputer.microsoft.com/api/stac/v1/search"}]}'
+ headers:
+ Accept-Ranges:
+ - bytes
+ Access-Control-Allow-Credentials:
+ - 'true'
+ Access-Control-Allow-Headers:
+ - X-PC-Request-Entity,DNT,Keep-Alive,User-Agent,X-Requested-With,If-Modified-Since,Cache-Control,Content-Type,Authorization
+ Access-Control-Allow-Methods:
+ - PUT, GET, POST, OPTIONS
+ Access-Control-Allow-Origin:
+ - '*'
+ Access-Control-Max-Age:
+ - '1728000'
+ Connection:
+ - keep-alive
+ Content-Length:
+ - '264'
+ Content-Type:
+ - application/geo+json
+ Date:
+ - Wed, 14 May 2025 18:18:57 GMT
+ Strict-Transport-Security:
+ - max-age=31536000; includeSubDomains
+ X-Cache:
+ - CONFIG_NOCACHE
+ x-azure-ref:
+ - 20250514T181856Z-r159ff9f48b424hkhC1YTOqggg000000033000000000gr5w
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/cassettes/test_client/test_get_items_without_ids.yaml b/tests/cassettes/test_client/test_get_items_recursion_collections_required_without_ids.yaml
similarity index 57%
rename from tests/cassettes/test_client/test_get_items_without_ids.yaml
rename to tests/cassettes/test_client/test_get_items_recursion_collections_required_without_ids.yaml
index 13ba8499..c38cbb14 100644
--- a/tests/cassettes/test_client/test_get_items_without_ids.yaml
+++ b/tests/cassettes/test_client/test_get_items_recursion_collections_required_without_ids.yaml
@@ -16,7 +16,7 @@ interactions:
body:
string: '{"type":"Catalog","id":"microsoft-pc","title":"Microsoft Planetary
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@@ -34,13 +34,13 @@ interactions:
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+ Annual Land Use Land Cover (9-class) V2","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/io-lulc-annual-v02"},{"rel":"child","type":"application/json","title":"GOES-R
+ Cloud & Moisture Imagery","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/goes-cmi"},{"rel":"child","type":"application/json","title":"CONUS404","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/conus404"},{"rel":"child","type":"application/json","title":"USGS
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@@ -101,8 +101,7 @@ interactions:
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- Lightning Detection","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/goes-glm"},{"rel":"child","type":"application/json","title":"USDA
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Climate Change Initiative Land Cover Maps (Cloud Optimized GeoTIFF)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/esa-cci-lc"},{"rel":"child","type":"application/json","title":"ESA
@@ -111,7 +110,8 @@ interactions:
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US Tabular Climate Normals","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/noaa-climate-normals-tabular"},{"rel":"child","type":"application/json","title":"NOAA
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+ US Gridded Climate Normals (NetCDF)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/noaa-climate-normals-netcdf"},{"rel":"child","type":"application/json","title":"GOES-R
+ Lightning Detection","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/goes-glm"},{"rel":"child","type":"application/json","title":"NOAA
US Gridded Climate Normals (Cloud-Optimized GeoTIFF)","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/noaa-climate-normals-gridded"},{"rel":"child","type":"application/json","title":"ASTER
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+ Ocean Heat Content CDR NetCDFs","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/noaa-cdr-ocean-heat-content-netcdf"},{"rel":"child","type":"application/json","title":"Harmonized
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+ Ocean Radar Altimetry","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/sentinel-3-sral-wat-l2-netcdf"},{"rel":"child","type":"application/json","title":"Harmonized
+ Landsat Sentinel-2 (HLS) Version 2.0, Sentinel-2 Data","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/hls2-s30"},{"rel":"child","type":"application/json","title":"Microsoft
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@@ -159,11 +161,11 @@ interactions:
Connection:
- keep-alive
Content-Length:
- - '3297'
+ - '3360'
Content-Type:
- application/json
Date:
- - Fri, 09 Aug 2024 15:13:40 GMT
+ - Wed, 14 May 2025 18:17:40 GMT
Strict-Transport-Security:
- max-age=31536000; includeSubDomains
X-Cache:
@@ -173,7 +175,7 @@ interactions:
vary:
- Accept-Encoding
x-azure-ref:
- - 20240809T151340Z-1674bbd94ccr56pfqknwrbqmxg0000000ry0000000002ycs
+ - 20250514T181739Z-r15d8f49c9b8x526hC1YTOx9c00000000aug000000003cd6
status:
code: 200
message: OK
@@ -194,6 +196,16811 @@ interactions:
- python-requests/2.32.3
method: POST
uri: https://planetarycomputer.microsoft.com/api/stac/v1/search
+ response:
+ body:
+ string: collection is required
+ headers:
+ Access-Control-Allow-Credentials:
+ - 'true'
+ Access-Control-Allow-Headers:
+ - X-PC-Request-Entity,DNT,Keep-Alive,User-Agent,X-Requested-With,If-Modified-Since,Cache-Control,Content-Type,Authorization
+ Access-Control-Allow-Methods:
+ - PUT, GET, POST, OPTIONS
+ Access-Control-Allow-Origin:
+ - '*'
+ Access-Control-Max-Age:
+ - '1728000'
+ Connection:
+ - keep-alive
+ Content-Length:
+ - '22'
+ Content-Type:
+ - text/plain; charset=utf-8
+ Date:
+ - Wed, 14 May 2025 18:17:40 GMT
+ Strict-Transport-Security:
+ - max-age=31536000; includeSubDomains
+ X-Cache:
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+ x-azure-ref:
+ - 20250514T181740Z-r15d8f49c9b7zs9thC1YTOzh1n0000000aug000000002f1m
+ status:
+ code: 422
+ message: Unprocessable Entity
+- request:
+ body: null
+ headers:
+ Accept:
+ - '*/*'
+ Accept-Encoding:
+ - gzip, deflate
+ Connection:
+ - keep-alive
+ User-Agent:
+ - python-requests/2.32.3
+ method: GET
+ uri: https://planetarycomputer.microsoft.com/api/stac/v1/collections/daymet-annual-pr
+ response:
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+ survey of the forest assets of the United States. The FIA research program
+ has been in existence since 1928. FIA''s primary objective is to determine
+ the extent, condition, volume, growth, and use of trees on the nation''s forest
+ land.\n\nDomain: continental U.S., 1928-2018\n\nResolution: plot-level (irregular
+ polygon)\n\nThis dataset was curated and brought to Azure by [CarbonPlan](https://carbonplan.org/).\n","item_assets":{"data":{"type":"application/x-parquet","roles":["data"],"title":"Dataset
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+ for each periodic inventory.
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+ inventory record for a State and year to the plot records.","msft:item_name":"survey"},{"name":"County
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+ and is also a reference table for the county codes and names.
* COUNTY.CN
+ = PLOT.CTY_CN links the unique county record to the plot record.","msft:item_name":"county"},{"name":"Plot
+ Table","description":"Plot table. This table provides information relevant
+ to the entire 1-acre field plot. This table links to most other tables, and
+ the linkage is made using PLOT.CN = TABLE_NAME.PLT_CN (TABLE_NAME is the name
+ of any table containing the column name PLT_CN). Below are some examples of
+ linking PLOT to other tables.
* PLOT.CN = COND.PLT_CN links the unique
+ plot record to the condition class record(s).
* PLOT.CN = SUBPLOT.PLT_CN
+ links the unique plot record to the subplot records.
* PLOT.CN = TREE.PLT_CN
+ links the unique plot record to the tree records.
* PLOT.CN = SEEDLING.PLT_CN
+ links the unique plot record to the seedling records.","msft:item_name":"plot"},{"name":"Condition
+ Table","description":"Condition table. This table provides information on
+ the discrete combination of landscape attributes that define the condition
+ (a condition will have the same land class, reserved status, owner group,
+ forest type, stand-size class, regeneration status, and stand density).
*
+ PLOT.CN = COND.PLT_CN links the condition class record(s) to the plot table.
+
* COND.PLT_CN = SITETREE.PLT_CN and COND.CONDID = SITETREE.CONDID
+ links the condition class record to the site tree data.
* COND.PLT_CN
+ = TREE.PLT_CN and COND.CONDID = TREE.CONDID links the condition class record
+ to the tree data.","msft:item_name":"cond"},{"name":"Subplot Table","description":"Subplot
+ table. This table describes the features of a single subplot. There are multiple
+ subplots per 1-acre field plot and there can be multiple conditions sampled
+ on each subplot.
* PLOT.CN = SUBPLOT.PLT_CN links the unique plot
+ record to the subplot records.
* SUBPLOT.PLT_CN = COND.PLT_CN and
+ SUBPLOT.MACRCOND = COND.CONDID links the macroplot conditions to the condition
+ class record.
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+ = COND.CONDID links the subplot conditions to the condition class record.
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* SUBPLOT.PLT_CN = COND.PLT_CN and SUBPLOT.MICRCOND = COND.CONDID
+ links the microplot conditions to the condition class record.","msft:item_name":"subplot"},{"name":"Subplot
+ Condition Table","description":"Subplot condition table. This table contains
+ information about the proportion of a subplot in a condition.
* PLOT.CN
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+
* SUBP_COND.PLT_CN = COND.PLT_CN and SUBP_COND.CONDID = COND.CONDID
+ links the condition class records found on the four subplots to the subplot
+ description.","msft:item_name":"subp_cond"},{"name":"boundary","description":"Boundary
+ table. This table provides a description of the demarcation line between two
+ conditions that occur on a single subplot","msft:item_name":"boundary"},{"name":"Subplot
+ Condition Change Matrix","description":"Subplot condition change matrix table.
+ This table contains information about the mix of current and previous conditions
+ that occupy the same area on the subplot.
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+ links the subplot condition change matrix records to the unique plot record.
+
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+ tree 1 inch in diameter and larger found on a microplot, subplot, or core
+ optional macroplot.
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+ to the unique plot record.
* COND.PLT_CN = TREE.PLT_CN and COND.CONDID
+ = TREE.CONDID links the tree records to the unique condition record.","msft:item_name":"tree"},{"name":"Tree
+ Woodland Stems Table","description":"Tree woodland stems table. This table
+ stores data for the individual stems of a woodland species tree. Individual
+ woodland stem diameter measurements contribute to the calculation of the diameter
+ stored on the parent TREE table record.
* TREE.CN = TREE_WOODLAND_STEMS.TRE_CN
+ links a woodland stems record to the corresponding unique tree record.","msft:item_name":"tree_woodland_stems"},{"name":"Tree
+ Regional Biomass Table","description":"Tree regional biomass table. This table
+ contains biomass estimates computed using equations and methodology that varies
+ by FIA work unit. This table retains valuable information for generating biomass
+ estimates that match earlier published reports.
* TREE.CN = TREE_REGIONAL_BIOMASS.TRE_CN
+ links a tree regional biomass record to the corresponding unique tree.","msft:item_name":"tree_regional_biomass"},{"name":"Tree
+ Net Growth, Removal, and Mortality Component Table","description":"Tree net
+ growth, removal, and mortality component table. This table stores information
+ used to compute net growth, removals, and mortality estimates for remeasurement
+ trees. Each remeasurement tree has a single record in this table.
*
+ TREE_GRM_COMPONENT.TRE_CN = TREE.TRE_CN links the records in this table to
+ the corresponding tree record in the TREE table.","msft:item_name":"tree_grm_component"},{"name":"Tree
+ Net Growth, Removal, and Mortality Midpoint Table","description":"Tree net
+ growth, removal, and mortality midpoint table. This table contains information
+ about a remeasured tree at the midpoint of the remeasurement period. It does
+ not contain a record for every tree. Midpoint estimates are computed for trees
+ that experience mortality, removal, or land use diversion or reversion. The
+ information in this table is used to compute net growth, removal, and mortality
+ estimates on remeasurement trees.
* TREE_GRM_MIDPT.TRE_CN = TREE.TRE_CN
+ links the records in this table to the corresponding tree record in the TREE
+ table.","msft:item_name":"tree_grm_midpt"},{"name":"Tree Net Growth, Removal,
+ and Mortality Begin Table","description":"Tree net growth, removal, and mortality
+ begin table. This table contains information for remeasured trees where values
+ have been calculated for the beginning of the remeasurement period. Only those
+ trees where information was recalculated for time 1 (T1) are included. The
+ information in this table is used to produce net growth, removal and mortality
+ estimates on remeasured trees.
* TREE_GRM_BEGIN.TRE_CN = TREE.TRE_CN
+ links the records in this table to the corresponding tree record in the TREE
+ table.","msft:item_name":"tree_grm_begin"},{"name":"Tree Net Growth, Removal,
+ and Mortality Estimation Table","description":"Tree net growth, removal, and
+ mortality estimation table. This table contains information used to produce
+ estimates of growth, removals and mortality.
* PLOT.CN = TREE_GRM_ESTN.PLT_CN
+ links the tree GRM estimation records to the unique plot record.
*
+ TREE.CN = TREE_GRM_ESTN.TRE_CN links the tree GRM estimation records to the
+ unique tree record.","msft:item_name":"tree_grm_estn"},{"name":"Seedling Table","description":"Seedling
+ table. This table provides a count of the number of live trees of a species
+ found on a microplot that are less than 1 inch in diameter but at least 6
+ inches in length for conifer species or at least 12 inches in length for hardwood
+ species.
* PLOT.CN = SEEDLING.PLT_CN links the seedling records to
+ the unique plot record.
* COND.PLT_CN = SEEDLING.PLT_CN and COND.CONDID
+ = SEEDLING.CONDID links the condition record to the seedling record.","msft:item_name":"seedling"},{"name":"Site
+ Tree Table","description":"Site tree table. This table provides information
+ on the site tree(s) collected in order to calculate site index and/or site
+ productivity information for a condition.
* PLOT.CN = SITETREE.PLT_CN
+ links the site tree records to the unique plot record.
* SITETREE.PLT_CN
+ = COND.PLT_CN and SITETREE.CONDID = COND.CONDID links the site tree record(s)
+ to the unique condition class record.","msft:item_name":"sitetree"},{"name":"Invasive
+ Subplot Species Table","description":"Invasive subplot species table. This
+ table provides percent cover data of invasive species identified on the subplot.
+
* PLOT.CN = INVASIVE_SUBPLOT_SPP.PLT_CN links the invasive subplot
+ species record(s) to the unique plot record.
* SUBP_COND.PLT_CN =
+ INVASIVE_SUBPLOT_SPP.PLT_CN and SUBP_COND.CONDID = INVASIVE_SUBPLOT_SPP.CONDID
+ and SUBP_COND.SUBP = INVASIVE_SUBPLOT_SPP.SUBP links the invasive subplot
+ species record(s) to the unique subplot condition record.
* INVASIVE_SUBPLOT_SPP.VEG_SPCD
+ = REF_PLANT_DICTIONARY.SYMBOL links the invasive vegetation subplot NRCS species
+ code to the plant dictionary reference species code.","msft:item_name":"invasive_subplot_spp"},{"name":"Phase
+ 2 Vegetation Subplot Species Table","description":"Phase 2 Vegetation subplot
+ species table. This table provides percent cover data of vegetation species
+ identified on the subplot.
* PLOT.CN = P2VEG_SUBPLOT_SPP.PLT_CN links
+ the vegetation subplot species record(s) to the unique plot record.
*
+ SUBP_COND.PLT_CN = P2VEG_SUBPLOT_SPP.PLT_CN and SUBP_COND.CONDID = P2VEG_SUBPLOT_SPP.CONDID
+ and SUBP_COND.SUBP = P2VEG_SUBPLOT_SPP.SUBP links the vegetation subplot species
+ record(s) to the unique subplot condition record.
* P2VEG_SUBPLOT_SPP.VEG_SPCD
+ = REF_PLANT_DICTIONARY.SYMBOL links the P2 vegetation subplot NRCS species
+ code to the plant dictionary reference species code.","msft:item_name":"p2veg_subplot_spp"},{"name":"Phase
+ 2 Vegetation Subplot Structure Table","description":"Phase 2 Vegetation subplot
+ structure table. This table provides percent cover by layer by growth habit.
+
* PLOT.CN = P2VEG_SUBP_STRUCTURE. PLT_CN links the subplot structure
+ record(s) to the unique plot record.
* SUBP_COND.PLT_CN = P2VEG_SUBP_STRUCTURE.PLT_CN
+ and SUBP_COND.CONDID = P2VEG_SUBP_STRUCTURE.CONDID and SUBP_COND.SUBP = P2VEG_SUBP_STRUCTURE.SUBP
+ links the vegetation subplot structure record(s) to the unique subplot condition
+ record.","msft:item_name":"p2veg_subp_structure"},{"name":"Down Woody Material
+ Visit Table","description":"Down woody material visit table. This table provides
+ general information on down woody material indicator visit, such as the date
+ of the DWM survey.
* PLOT.CN = DWM_VISIT.PLT_CN links the down woody
+ material indicator visit record to the unique plot record.","msft:item_name":"dwm_visit"},{"name":"Down
+ Woody Material Coarse Woody Debris Table","description":"Down woody material
+ coarse woody debris table. This table provides information for each piece
+ of coarse woody debris measured along the transects.
* PLOT.CN = DWM_COARSE_WOODY_DEBRIS.PLT_CN
+ links the down woody material coarse woody debris records to the unique plot
+ record.
* COND.PLT_CN = DWM_COARSE_WOODY_DEBRIS.PLT_CN and COND.CONDID=
+ DWM_COARSE_WOODY_DEBRIS.CONDID links the coarse woody debris records to the
+ unique condition record.","msft:item_name":"dwm_coarse_woody_debris"},{"name":"Down
+ Woody Material Duff, Litter, Fuel Table","description":"Down woody material
+ duff, litter, fuel table. This table provides information on the duff, litter,
+ fuelbed depths measured at a point on the transects.
* PLOT.CN = DWM_DUFF_LITTER_FUEL.PLT_CN
+ links the duff, litter, fuelbed records to the unique plot record.
*
+ COND.PLT_CN = DWM_DUFF_LITTER_FUEL.PLT_CN and COND.CONDID= DWM_DUFF_LITTER_FUEL.CONDID
+ links the duff, litter, fuel records to the unique condition record.","msft:item_name":"dwm_duff_litter_fuel"},{"name":"Down
+ Woody Material Fine Woody Debris Table","description":"Down woody material
+ fine woody debris table. This table provides information on the fine woody
+ debris measured along a segment of the transects.
* PLOT.CN = DWM_FINE_WOODY_DEBRIS.PLT_CN
+ links the fine woody debris records to the unique plot record.
* COND.PLT_CN
+ = DWM_FINE_WOODY_DEBRIS.PLT_CN and COND.CONDID= DWM_FINE_WOODY_DEBRIS.CONDID
+ links the fine woody debris records to the unique condition record.","msft:item_name":"dwm_fine_woody_debris"},{"name":"Down
+ Woody Material Microplot Fuel Table","description":"Down woody material microplot
+ fuel table. This table provides information on the fuel loads (shrubs and
+ herbs) measured on the microplot.
* PLOT.CN = DWM_MICROPLOT_FUEL.PLT_CN
+ links the microplot fuel records to the unique plot record.","msft:item_name":"dwm_microplot_fuel"},{"name":"Down
+ Woody Material Residual Pile Table","description":"Down woody material residual
+ pile table. This table provides information on the wood piles measured on
+ the subplot.
* PLOT.CN = DWM_RESIDUAL_PILE.PLT_CN links the wood piles
+ records to the unique plot record.
* COND.PLT_CN = DWM_RESIDUAL_PILE.PLT_CN
+ and COND.CONDID= DWM_RESIDUAL_PILE.CONDID links the wood piles records to
+ the unique condition record.","msft:item_name":"dwm_residual_pile"},{"name":"Down
+ Woody Material Transect Segment Table","description":"Down woody material
+ transect segment table. This table describes the down woody material transect
+ segment lengths by condition class.
* PLOT.CN = DWM_TRANSECT_SEGMENT.PLT_CN
+ links the down woody material transect length records to the unique plot record.
+
* COND.PLT_CN = DWM_TRANSECT_SEGMENT.PLT_CN and COND.CONDID= DWM_TRANSECT_SEGMENT.CONDID
+ links the down woody material transect segment records to the unique condition
+ record.","msft:item_name":"dwm_transect_segment"},{"name":"Condition Down
+ Woody Material Calculation Table","description":"Condition down woody material
+ calculation table. This table contains calculated values and condition-level
+ estimates for down woody attributes by plot number (PLOT), condition class
+ number (CONDID), and evaluation identifier (EVALID).
* PLOT.CN = COND_DWM_CALC.PLT_CN
+ links the down woody material calculation records to the unique plot record.
+
* COND.CN = COND_DWM_CALC.CND_CN links the down woody material calculation
+ records to the unique condition record.
* POP_STRATUM. CN = COND_DWM_CALC.STRATUM_CN
+ links the down woody material calculation records to the unique population
+ stratum record.","msft:item_name":"cond_dwm_calc"},{"name":"Plot Regeneration
+ Table","description":"Plot regeneration table. This table contains the information
+ for the four subplots describing the amount of animal browse pressure exerted
+ on the regeneration of trees.
* PLOT.CN = PLOT_REGEN.PLT_CN links
+ the unique plot record to the unique plot regeneration record.","msft:item_name":"plot_regen"},{"name":"Subplot
+ Regeneration Table","description":"Subplot regeneration table. This table
+ provides information on the subplot survey status and the site survey limitations,
+ if any, for the tree regeneration study.
* PLOT.CN = SUBPLOT_REGEN.PLT_CN
+ links the unique plot record to the subplot regeneration records.
*
+ SUBPLOT.PLT_CN = SUBPLOT_REGEN.PLT_CN and SUBPLOT.SUBP = SUBPLOT_REGEN.SUBP
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+ Regeneration Table","description":"Seedling regeneration. This table contains
+ provides information on the seedling count by condition, species, source,
+ and length class for the tree regeneration study.
* PLOT.CN = SEEDLING_REGEN.PLT_CN
+ links the unique plot record to the seedling regeneration records.
*
+ COND.PLT_CN = SEEDLING_REGEN.PLT_CN and COND.CONDID = SEEDLING_REGEN.CONDID
+ links the regeneration seedling records to the unique condition record.","msft:item_name":"seedling_regen"},{"name":"Population
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+ table contains information about estimation units. An estimation unit is a
+ geographic area that can be drawn on a map. It has a known area, and the sampling
+ intensity must be the same within a stratum within an estimation unit. Generally,
+ estimation units are contiguous areas, but exceptions are made when certain
+ ownerships, usually National Forests, are sampled at different intensities.
+ One record in the POP_ESTN_UNIT table corresponds to a single estimation unit.
+ POP_ESTN_UNIT.CN = POP_STRATUM.ESTN_UNIT_CN links the unique stratified geographical
+ area (ESTN_UNIT) to the strata (STRATUMCD) that are assigned to each ESTN_UNIT.","msft:item_name":"pop_estn_unit"},{"name":"Population
+ Evaluation Table","description":"Population evaluation table. This table provides
+ information about evaluations. An evaluation is the combination of a set of
+ plots (the sample) and a set of Phase 1 data (obtained through remote sensing,
+ called a stratification) that can be used to produce population estimates
+ for a State (an evaluation may be created to produce population estimates
+ for a region other than a State, such as the Black Hills National Forest).
+ A record in the POP_EVAL table identifies one evaluation and provides some
+ descriptive information about how the evaluation may be used.
* POP_ESTN_UNIT.EVAL_CN
+ = POP_EVAL.CN links the unique evaluation identifier (EVALID) in the POP_EVAL
+ table to the unique geographical areas (ESTN_UNIT) that are stratified. Within
+ a population evaluation (EVALID) there can be multiple population estimation
+ units, or geographic areas across which there are a number of values being
+ estimated (e.g., estimation of volume across counties for a given State).","msft:item_name":"pop_eval"},{"name":"Population
+ Evaluation Attribute Table","description":"Population evaluation attribute
+ table. This table provides information as to which population estimates can
+ be provided by an evaluation. If an evaluation can produce only 22 of all
+ the population estimates in the REF_POP_ATTRIBUTE table, there will be 22
+ records in the POP_EVAL_ATTRIBUTE table (one per population estimate) for
+ that evaluation.
* POP_EVAL.CN = POP_EVAL_ATTRIBUTE.EVAL_CN links
+ the unique evaluation identifier to the list of population estimates that
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+ Evaluation Group Table","description":"Population evaluation group table.
+ This table lists and describes the evaluation groups. One record in the POP_EVAL_GRP
+ table can be linked to all the evaluations that were used in generating estimates
+ for a State inventory report.
* POP_EVAL_GRP.CN = POP_EVAL_TYP.EVAL_GRP_CN
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+ table provides information on the type of evaluations that were used to generate
+ a set of tables for an inventory report. In a typical State inventory report,
+ one evaluation is used to generate an estimate of the total land area; a second
+ evaluation is used to generate current estimates of volume, numbers of trees
+ and biomass; and a third evaluation is used for estimating growth, removals
+ and mortality.
* POP_EVAL_TYP.EVAL_CN = POP_EVAL.CN links the evaluation
+ type record to the evaluation record.
* POP_EVAL_TYP.EVAL_GRP_CN =
+ POP_EVAL_GRP.CN links the evaluation type record to the evaluation group record.
+
* POP_EVAL_TYP.EVAL_TYP = REF_POP_EVAL_TYP_DESCR.EVAL_TYP links an
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+ table. This table provides a way to assign stratum information to a plot.
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+ on the Phase 1 imagery. Plots are linked to their appropriate stratum for
+ an evaluation via the POP_PLOT_STRATUM_ASSGN table.
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+ divided into strata. The area for each stratum can be calculated by determining
+ the proportion of Phase 1 pixels/plots in each stratum and multiplying that
+ proportion by the total area in the estimation unit. Information for a single
+ stratum is stored in a single record of the POP_STRATUM table.
* POP_STRATUM.CN
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+ attributes associated with the plot location, such as the hydrological unit
+ and roadless codes.
* PLOTGEOM.CN = PLOT.CN links the unique plot
+ record between the two tables.","msft:item_name":"plotgeom"},{"name":"Plot
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+ information in the PLOT table with information in the PLOT_EVAL_GRP and POP_STRATUM
+ tables to provide a snapshot of the plot records with their associated expansion
+ and adjustment factors.
* PLOTSNAP.CN = PLOT.CN links the unique plot
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+ corrected product derived from the [Ground Range Detected (GRD) Level-1](https://planetarycomputer.microsoft.com/dataset/sentinel-1-grd)
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+ for more information.\\n\\n### Methodology\\n\\nThe Sentinel-1 GRD product
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+ in the ESA technical note ESA-EOPG-CSCOP-TN-0002, [Radiometric Calibration
+ of S-1 Level-1 Products Generated by the S-1 IPF](https://ai4edatasetspublicassets.blob.core.windows.net/assets/pdfs/sentinel-1/S1-Radiometric-Calibration-V1.0.pdf).
+ The flat earth calibration values for gamma correction (i.e. perpendicular
+ to the radar line of sight) are extracted from the GRD metadata. The calibration
+ coefficients are applied as a two-dimensional correction in range (by sample
+ number) and azimuth (by time). All available polarizations are calibrated
+ and written as separate layers of a single file. The calibrated SAR output
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+ as the elevation source. The correction algorithm is nominally based upon
+ D. Small, [\u201CFlattening Gamma: Radiometric Terrain Correction for SAR
+ Imagery\u201D](https://ai4edatasetspublicassets.blob.core.windows.net/assets/pdfs/sentinel-1/2011_Flattening_Gamma.pdf),
+ IEEE Transactions on Geoscience and Remote Sensing, Vol 49, No 8., August
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+ Collection.\n\nThe gridded National Soil Survey Geographic Database (gNATSGO)
+ is a USDA-NRCS Soil & Plant Science Division (SPSD) composite database that
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+ areas of the United States and Island Territories. It was created by combining
+ data from the Soil Survey Geographic Database (SSURGO), State Soil Geographic
+ Database (STATSGO2), and Raster Soil Survey Databases (RSS) into a single
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+ that has over 100 years of field-validated detailed soil mapping data. SSURGO
+ contains soils information for more than 90 percent of the United States and
+ island territories, but unmapped land remains. STATSGO2 is a general soil
+ map that has soils data for all of the United States and island territories,
+ but the data is not as detailed as the SSURGO data. The Raster Soil Surveys
+ (RSSs) are the next generation soil survey databases developed using advanced
+ digital soil mapping methods.\n\nThe gNATSGO database is composed primarily
+ of SSURGO data, but STATSGO2 data was used to fill in the gaps. The RSSs are
+ newer product with relatively limited spatial extent. These RSSs were merged
+ into the gNATSGO after combining the SSURGO and STATSGO2 data. The extent
+ of RSS is expected to increase in the coming years.\n\nSee the [official documentation](https://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcseprd1464625)","item_assets":{"data":{"type":"application/x-parquet","roles":["data"],"table:storage_options":{"account_name":"soils"}}},"stac_version":"1.0.0","table:tables":[{"name":"chaashto","description":"The
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+ the horizon."},{"name":"chdesgnsuffix","description":"The Horizon Designation
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+ horizon. For example, the \"h\" and \"s\" of a Bhs horizon appear as two
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+ table lists the mineral and organic fragments that generally occur in the
+ referenced horizon. If the Volume % is greater than zero (low=5, RV=10, high=15)
+ in a row, the kind and size of fragment in that row exists everywhere this
+ horizon and component occur in the map unit. If the Volume % includes zero
+ (low=0, RV=5, high=10), the kind and size of fragment may exist in some places,
+ but not in others."},{"name":"chorizon","description":"The Horizon table lists
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+ the horizon thickness is greater than zero (low=5, RV=8, high=12), the horizon
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+ zero (low=0, RV=1, high=3), the horizon may exist in some places, but not
+ in other places.\r\nHorizons that have two distinct parts, such as E/B or
+ E&Bt horizons, are recorded twice. Once for the characteristics of the first
+ part; and again on another row, using the same depths and thicknesses, for
+ the characteristics of the other part."},{"name":"chpores","description":"The
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+ a horizon may have more than one size or shape of void."},{"name":"chstruct","description":"The
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+ shape terms for the referenced horizon. Terms in this table are assembled
+ into a structure group string which is recorded in the Horizon Structure Group
+ table."},{"name":"chstructgrp","description":"The Horizon Structure Group
+ table lists the ranges of soil structure for the referenced horizon. The
+ row with the typically occurring structure is marked as being representative. The
+ entry in this table is based on grouping of entries in the Horizon Structure
+ table."},{"name":"chtext","description":"The Horizon Text table contains notes
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+ horizon. Only the unmodified texture terms are listed in the Horizon Texture
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+ a gravelly loamy sand is shown as \"GR-LS\" in the Horizon Texture Group table,
+ \"ls\" in the Horizon Texture table, and \"gr\" in the Horizon Texture Modifier
+ table."},{"name":"chtexturegrp","description":"The Horizon Texture Group table
+ lists the range of textures for the referenced horizon as a concatenation
+ of horizon texture and texture modifier(s). For example, a horizon that is
+ gravelly loamy sand in some places and gravelly loamy coarse sand in other
+ places is shown as GR-LS on one row and GR-LCOS on another row in this table. The
+ row with the typically occurring texture is identified as the RV row. Stratified
+ textures are shown in one row. For example, a horizon that is stratified
+ gravelly loamy fine sand and cobbly coarse sand is shown as SR- GR-LFS CB-COS
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+ Modifier table lists the texture modifier(s) for the referenced texture. For
+ example, a gravelly loamy sand is shown as \"GR-LS\" in the Horizon Texture
+ Group table, \"ls\" in the Horizon Texture table, and \"gr\" in this table."},{"name":"chunified","description":"The
+ Horizon Unified table contains the Unified Soil Classification(s) for the
+ referenced horizon. One row in the Horizon Unified table is marked as the
+ representative Unified classification for the horizon."},{"name":"cocanopycover","description":"The
+ Component Canopy Cover table lists the overstory plants that typically occur
+ on the referenced map unit component."},{"name":"cocropyld","description":"The
+ Component Crop Yield table lists commonly grown crops and their expected range
+ in yields when grown on the referenced map unit component. Yields for the
+ map unit as a whole are given in the Mapunit Crop Yield table."},{"name":"codiagfeatures","description":"The
+ Component Diagnostic Features table lists the typical soil features, such
+ as ochric epipedon or cambic horizon, for the referenced map unit component."},{"name":"coecoclass","description":"The
+ Component Ecological Classification table identifies the ecological sites
+ typically associated with the referenced map unit component. These may include
+ the official NRCS forestland and rangland ecological sites, as well as those
+ of other classification systems, such as the USFS Habitat Types."},{"name":"coeplants","description":"The
+ Component Existing Plants table lists the plants, either rangeland or forestland
+ plants, that typically occur on the referenced map unit component."},{"name":"coerosionacc","description":"The
+ Component Erosion Accelerated table lists the kinds of accelerated erosion
+ that occur on the referenced map unit component. One row in this table is
+ marked as the representative kind of accelerated erosion for that component."},{"name":"coforprod","description":"The
+ Component Forest Productivity table lists the site index and the annual productivity
+ in cubic feet per acre per year (CAMI) of forest overstory tree species that
+ typically occur on the referenced map unit component."},{"name":"coforprodo","description":"The
+ Component Forest Productivity - Other table lists the site index and annual
+ productivity of forest overstory tree species in units other than cubic feet
+ per acre per year for trees that typically occur on the referenced map unit
+ component."},{"name":"cogeomordesc","description":"The Component Geomorphic
+ Description table lists the geomorphic features on which the referenced map
+ unit component typically occurs."},{"name":"cohydriccriteria","description":"The
+ Component Hydric Criteria table lists the hydric soil criteria met for those
+ referenced map unit components that are classified as a \"hydric soil.\""},{"name":"cointerp","description":"The
+ Component Interpretation table lists the predictions of behavior and limiting
+ features for specified uses made for the referenced map unit component."},{"name":"comonth","description":"The
+ Component Month table lists the monthly flooding and ponding characteristics
+ for the referenced map unit component. This table has one row for each month
+ of the year."},{"name":"component","description":"The Component table lists
+ the map unit components identified in the referenced map unit, and selected
+ properties of each component. If the Component % is greater than zero (low=65,
+ RV=75, high=90) for a component, that component exists in every delineation
+ of that mapunit. If the Component % includes zero (low=0, RV=50, high=90),
+ the component may exist in some delineations, but not in others."},{"name":"copm","description":"The
+ Component Parent Material table lists the individual parent material(s) for
+ the referenced map unit component. In some cases where soils developed
+ in multiple materials in a vertical sequence, that sequence will be noted. In
+ other cases multiple entries with no vertical sequence noted indicates the
+ soil may have formed in one of the materials listed."},{"name":"copmgrp","description":"The
+ Component Parent Material Group table lists the concatenated string of parent
+ material(s) in which the referenced map unit component formed based on entries
+ in the Component Parent Material table. For example, a component formed in
+ one parent material, such as loess, or one vertical sequence of parent materials,
+ such as loamy glacial drift over silty residuum weathered from shale, has
+ one row in this table. A component formed in one parent material in some
+ locations, but another parent material (or sequence of parent materials) in
+ other locations has two rows in this table, one for each parent material (or
+ sequence of parent materials). One row is identified as the representative
+ parent material."},{"name":"copwindbreak","description":"The Component Potential
+ Windbreak table lists the windbreak plant species commonly recommended for
+ the referenced map unit component. A windbreak plant listed in this table
+ may be used alone or in combination with other plants."},{"name":"corestrictions","description":"The
+ Component Restrictions table lists the root restrictive feature(s) or layer(s)
+ for the referenced map unit component. If the thickness of the restrictive
+ layer is greater than zero (low=5, RV=8, high=10), the restrictive layer exists
+ in all delineations of the map unit where the component occurs. If the thickness
+ of the restrictive layer includes zero (low=0, RV=2, high=5), the restrictive
+ layer may exist in some delineations, but not in others. This table will
+ be empty if the component does not have restrictive features, but could have
+ several rows if several restrictive features occur in the soil."},{"name":"cosoilmoist","description":"The
+ Component Soil Moisture table describes the typical soil moisture profile
+ for the referenced map unit component during the month referenced in the Component
+ Month table. The soil moisture profiles for each month, taken as a group
+ of twelve months, describe the representative situation for the component
+ throughout the year."},{"name":"cosoiltemp","description":"The Component Soil
+ Temperature table describes the typical soil temperature profile for the referenced
+ map unit component during the month referenced in the Component Month table. The
+ soil temperature profiles for each month, taken as a group of twelve months,
+ describe the representative situation for the component throughout the year."},{"name":"cosurffrags","description":"The
+ Component Surface Fragments table lists the organic or mineral fragments that
+ generally occur on the surface of the referenced map unit component. If the
+ cover percent is greater than zero (low=0.1, RV=1, high=3) for a row in this
+ table, the fragment is in every delineation of the map unit where the referenced
+ component occurs. If the Cover % includes zero (low=0, RV=0.01, high=1) for
+ a row in this table, the fragment may exist in some delineations and not in
+ others."},{"name":"cosurfmorphgc","description":"The Component Three Dimensional
+ Surface Morphometry table lists the typical geomorphic position (s) of the
+ referenced map unit component, in three dimension terms. The geomorphic position(s)
+ listed in this table apply to the geomorphic feature referenced in the Component
+ Geomorphic Description table."},{"name":"cosurfmorphhpp","description":"The
+ Component Two Dimensional Surface Morphometry table lists the geomorphic position(s)
+ of the referenced map unit component, in two dimensional hillslope profile
+ terms. The geomorphic position(s) listed in this table apply to the geomorphic
+ feature referenced in the Component Geomorphic Description table."},{"name":"cosurfmorphmr","description":"The
+ Component Microrelief Surface Morphometry table lists microrelief features
+ associated with the referenced geomorphic (microfeature) feature shown in
+ the Component Geomorphic Description table."},{"name":"cosurfmorphss","description":"The
+ Component Slope Shape Surface Morphometry table lists the geomorphic shape(s)
+ of the referenced map unit component, in slope shape terms. The slope shape
+ terms listed in this table apply to the referenced geomorphic feature shown
+ in the Component Geomorphic Description table."},{"name":"cotaxfmmin","description":"The
+ Component Taxonomic Family Mineralogy table lists the mineralogy characteristics,
+ as defined in Soil Taxonomy, that apply to the referenced map unit component."},{"name":"cotaxmoistcl","description":"The
+ Component Taxonomic Moisture Class table provides clear identification of
+ the intended taxonomic moisture class, as defined in Soil Taxonomy, that apply
+ to the referenced map unit component, even though moisture class is implied
+ at a higher taxonomic level. The class or classes listed in this table describe
+ the representative situation for the component."},{"name":"cotext","description":"The
+ Component Text table contains notes and narrative descriptions for the referenced
+ map unit component. In many cases, the table will be empty for a particular
+ component."},{"name":"cotreestomng","description":"The Component Trees To
+ Manage table lists the trees commonly recommended for managing on the referenced
+ map unit component."},{"name":"cotxfmother","description":"The Component Taxonomic
+ Family Other Criteria table lists the other taxonomic characteristics, such
+ as classes of coatings or permanent cracks, as defined in Soil Taxonomy, that
+ apply to the referenced map unit component. The characteristics listed in
+ this table describe the representative situation for the component."},{"name":"distinterpmd","description":"The
+ Distribution Interp Metadata table records the set of NASIS fuzzy logic interpretations
+ which were generated for the map unit components included in a set of distribution
+ data."},{"name":"distlegendmd","description":"The Distribution Legend Metadata
+ table records information about the legends or soil survey areas selected
+ for inclusion in a set of distributed data. The presence of a legend in this
+ table does not imply that all of the available data for that legend was included
+ in the set of data that was distributed. Only certain map units and components
+ for that legend may have been selected. The record of the criteria used for
+ selecting map units and components may be found in the Distribution Metadata
+ table."},{"name":"distmd","description":"The Distribution Metadata table records
+ information associated with the selection of a set of data for distribution
+ to some entity or information system external to NASIS. A set of distribution
+ data may include only selected map units from a legend or legends, and only
+ selected components of those map units. This table records the criteria used
+ for selecting map units and components for inclusion in the set of distributed
+ data. Other recorded information includes the name of the NASIS user who
+ initiated a distribution request, and the times when that request was made,
+ and when that request was ultimately processed."},{"name":"laoverlap","description":"The
+ Legend Area Overlap table lists the geographic areas that are coincident with
+ the soil survey area identified in the Legend table. For example, a survey
+ area that covers two counties would have two rows in this table, one for each
+ county. Other types of geographic areas listed might include state, MLRA,
+ rainfall (R) factor area, climate (C) factor area, etc."},{"name":"legend","description":"The
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+ and related information about that legend."},{"name":"legendtext","description":"The
+ Legend Text table contains notes and narrative descriptions related to the
+ referenced legend. Legend text is optional. In many cases, this table is
+ empty."},{"name":"mapunit","description":"The Mapunit table identifies the
+ map units included in the referenced legend. Data related the map unit as
+ a whole are also given."},{"name":"muaggatt","description":"The Mapunit Aggregated
+ Attribute table records a variety of soil attributes and interpretations that
+ have been aggregated from the component level to a single value at the map
+ unit level. They have been aggregated by one or more appropriate means in
+ order to express a consolidated value or interpretation for the map unit as
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+ to review the [technote](https://www.nccs.nasa.gov/sites/default/files/NEX-GDDP-CMIP6-Tech_Note.pdf),
+ provided alongside the data set, where more detailed information, references
+ and acknowledgements can be found.\\n\\nThis collection contains many NetCDF
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+ map that has soils data for all of the United States and island territories,
+ but the data is not as detailed as the SSURGO data. The Raster Soil Surveys
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+ to the MapUnitRaster_10m raster map layer to map valu1 themes.\"},\"aws0_5\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"aws0_5\",\"description\":\"Available
+ water storage estimate (AWS) in a standard zone 1 (0-5 cm depth), expressed
+ in mm. The volume of plant available water that the soil can store in this
+ layer based on all map unit components (weighted average). NULL values are
+ presented where data are incomplete or not available.\"},\"soc0_5\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"soc0_5\",\"description\":\"Soil
+ organic carbon stock estimate (SOC) in standard layer 1 or standard zone 1
+ (0-5 cm depth). The concentration of organic carbon present in the soil expressed
+ in grams C per square meter to a depth of 5 cm. NULL values are presented
+ where data are incomplete or not available.\"},\"tk0_5a\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"tk0_5a\",\"description\":\"Thickness
+ of soil components used in standard layer 1 or standard zone 1 (0-5 cm) expressed
+ in cm (weighted average) for the available water storage calculation. NULL
+ values are presented where data are incomplete or not available.\"},\"tk0_5s\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"tk0_5s\",\"description\":\"Thickness
+ of soil components used in standard layer 1 or standard zone 1 (0-5 cm) expressed
+ in cm (weighted average) for the Soil Organic Carbon calculation. NULL values
+ are presented where data are incomplete or not available.\"},\"aws0_20\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"aws0_20\",\"description\":\"Available
+ water storage estimate (AWS) in standard zone 2 (0-20 cm depth), expressed
+ in mm. The volume of plant available water that the soil can store in this
+ zone based on all map unit components (weighted average). NULL values are
+ presented where data are incomplete or not available.\"},\"aws0_30\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"aws0_30\",\"description\":\"Available
+ water storage estimate (AWS) in standard zone 3 (0-30 cm depth), expressed
+ in mm. The volume of plant available water that the soil can store in this
+ zone based on all map unit components (weighted average). NULL values are
+ presented where data are incomplete or not available.\"},\"aws5_20\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"aws5_20\",\"description\":\"Available
+ water storage estimate (AWS) in standard layer 2 (5-20 cm depth), expressed
+ in mm. The volume of plant available water that the soil can store in this
+ layer based on all map unit components (weighted average). NULL values are
+ presented where data are incomplete or not available.\"},\"soc0_20\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"soc0_20\",\"description\":\"Soil
+ organic carbon stock estimate (SOC) in standard zone 2 (0-20 cm depth). The
+ concentration of organic carbon present in the soil expressed in grams C per
+ square meter to a depth of 20 cm. NULL values are presented where data are
+ incomplete or not available.\"},\"soc0_30\":{\"type\":\"image/tiff; application=geotiff;
+ profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"soc0_30\",\"description\":\"Soil
+ organic carbon stock estimate (SOC) in standard zone 3 (0-30 cm depth). The
+ concentration of organic carbon present in the soil expressed in grams C per
+ square meter to a depth of 30 cm. NULL values are presented where data are
+ incomplete or not available.\"},\"soc5_20\":{\"type\":\"image/tiff; application=geotiff;
+ profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"soc5_20\",\"description\":\"Soil
+ organic carbon stock estimate (SOC) in standard layer 2 (5-20 cm depth). The
+ concentration of organic carbon present in the soil expressed in grams C per
+ square meter for the 5-20 cm layer. NULL values are presented where data are
+ incomplete or not available.\"},\"tk0_20a\":{\"type\":\"image/tiff; application=geotiff;
+ profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"tk0_20a\",\"description\":\"Thickness
+ of soil components used in standard zone 2 (0-20 cm) expressed in cm (weighted
+ average) for the available water storage calculation. NULL values are presented
+ where data are incomplete or not available.\"},\"tk0_20s\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"tk0_20s\",\"description\":\"Thickness
+ of soil components used in standard zone 2 (0-20 cm) expressed in cm (weighted
+ average) for the Soil Organic Carbon calculation. NULL values are presented
+ where data are incomplete or not available.\"},\"tk0_30a\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"tk0_30a\",\"description\":\"Thickness
+ of soil components used in standard zone 3 (0-30 cm) expressed in cm (weighted
+ average) for the available water storage calculation. NULL values are presented
+ where data are incomplete or not available.\"},\"tk0_30s\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"tk0_30s\",\"description\":\"Thickness
+ of soil components used in standard zone 3 (0-30 cm) expressed in cm (weighted
+ average) for the Soil Organic Carbon calculation. NULL values are presented
+ where data are incomplete or not available.\"},\"tk5_20a\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"tk5_20a\",\"description\":\"Thickness
+ of soil components used in standard layer 2 (5-20 cm) expressed in cm (weighted
+ average) for the available water storage calculation. NULL values are presented
+ where data are incomplete or not available.\"},\"tk5_20s\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"tk5_20s\",\"description\":\"Thickness
+ of soil components used in standard layer 2 (5-20 cm) expressed in cm (weighted
+ average) for the Soil Organic Carbon calculation. NULL values are presented
+ where data are incomplete or not available.\"},\"aws0_100\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"aws0_100\",\"description\":\"Available
+ water storage estimate (AWS) in standard zone 4 (0-100 cm depth), expressed
+ in mm. The volume of plant available water that the soil can store in this
+ zone based on all map unit components (weighted average). NULL values are
+ presented where data are incomplete or not available.\"},\"aws0_150\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"aws0_150\",\"description\":\"Available
+ water storage estimate (AWS) in standard zone 5 (0-150 cm depth), expressed
+ in mm. The volume of plant available water that the soil can store in this
+ zone based on all map unit components (weighted average). NULL values are
+ presented where data are incomplete or not available.\"},\"aws0_999\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"aws0_999\",\"description\":\"Available
+ water storage estimate (AWS) in total soil profile (0 cm to the reported depth
+ of the soil profile), expressed in mm. The volume of plant available water
+ that the soil can store in this layer based on all map unit components (weighted
+ average). NULL values are presented where data are incomplete or not available.\"},\"aws20_50\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"aws20_50\",\"description\":\"Available
+ water storage estimate (AWS) in standard layer 3 (20-50 cm depth), expressed
+ in mm. The volume of plant available water that the soil can store in this
+ layer based on all map unit components (weighted average). NULL values are
+ presented where data are incomplete or not available.\"},\"droughty\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"droughty\",\"description\":\"zone
+ for commodity crops that is less than or equal to 6 inches (152 mm) expressed
+ as \\\"1\\\" for a drought vulnerable soil landscape map unit or \\\"0\\\"
+ for a non-droughty soil landscape map unit or NULL for miscellaneous areas
+ (includes water bodies) or where data were not available. It is computed as
+ a weighted average for major earthy components. Earthy components are those
+ soil series or higher level taxa components that can support crop growth (Dobos
+ et al., 2012). Major components are those soil components where the majorcompflag
+ = 'Yes'\"},\"nccpi3sg\":{\"type\":\"image/tiff; application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"nccpi3sg\",\"description\":\"National
+ Commodity Crop Productivity Index for Small Grains (weighted average) for
+ major earthy components. Values range from .01 (low productivity) to .99 (high
+ productivity). Earthy components are those soil series or higher level taxa
+ components that can support crop growth (Dobos et al., 2012). Major components
+ are those soil components where the majorcompflag = 'Yes' (SSURGO component
+ table). NULL values are presented where data are incomplete or not available.\"},\"soc0_100\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"soc0_100\",\"description\":\"Soil
+ organic carbon stock estimate (SOC) in standard zone 4 (0-100 cm depth). The
+ concentration of organic carbon present in the soil expressed in grams C per
+ square meter to a depth of 100 cm. NULL values are presented where data are
+ incomplete or not available.\"},\"soc0_150\":{\"type\":\"image/tiff; application=geotiff;
+ profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"soc0_150\",\"description\":\"Soil
+ organic carbon stock estimate (SOC) in standard zone 5 (0-150 cm depth). The
+ concentration of organic carbon present in the soil expressed in grams C per
+ square meter to a depth of 150 cm. NULL values are presented where data are
+ incomplete or not available.\"},\"soc0_999\":{\"type\":\"image/tiff; application=geotiff;
+ profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"soc0_999\",\"description\":\"Soil
+ organic carbon stock estimate (SOC) in total soil profile (0 cm to the reported
+ depth of the soil profile). The concentration of organic carbon present in
+ the soil expressed in grams C per square meter for the total reported soil
+ profile depth. NULL values are presented where data are incomplete or not
+ available.\"},\"soc20_50\":{\"type\":\"image/tiff; application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"soc20_50\",\"description\":\"Soil
+ organic carbon stock estimate (SOC) in standard layer 3 (20-50 cm depth).
+ The concentration of organic carbon present in the soil expressed in grams
+ C per square meter for the 20-50 cm layer. NULL values are presented where
+ data are incomplete or not available.\"},\"tk0_100a\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"tk0_100a\",\"description\":\"Thickness
+ of soil components used in standard zone 4 (0-100 cm) expressed in cm (weighted
+ average) for the available water storage calculation. NULL values are presented
+ where data are incomplete or not available.\"},\"tk0_100s\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"tk0_100s\",\"description\":\"Thickness
+ of soil components used in standard zone 4 (0-100 cm) expressed in cm (weighted
+ average) for the Soil Organic Carbon calculation. NULL values are presented
+ where data are incomplete or not available.\"},\"tk0_150a\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"tk0_150a\",\"description\":\"Thickness
+ of soil components used in standard zone 5 (0-150 cm) expressed in cm (weighted
+ average) for the available water storage calculation. NULL values are presented
+ where data are incomplete or not available.\"},\"tk0_150s\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"tk0_150s\",\"description\":\"Thickness
+ of soil components used in standard zone 5 (0-150 cm) expressed in cm (weighted
+ average) for the Soil Organic Carbon calculation. NULL values are presented
+ where data are incomplete or not available.\"},\"tk0_999a\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"tk0_999a\",\"description\":\"Thickness
+ of soil components used in total soil profile (0 cm to the reported depth
+ of the soil profile) expressed in cm (weighted average) for the available
+ water storage calculation. NULL values are presented where data are incomplete
+ or not available.\"},\"tk0_999s\":{\"type\":\"image/tiff; application=geotiff;
+ profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"tk0_999s\",\"description\":\"Thickness
+ of soil components used in total soil profile (0 cm to the reported depth
+ of the soil profile) expressed in cm (weighted average) for the Soil Organic
+ Carbon calculation. NULL values are presented where data are incomplete or
+ not available.\"},\"tk20_50a\":{\"type\":\"image/tiff; application=geotiff;
+ profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"tk20_50a\",\"description\":\"Thickness
+ of soil components used in standard layer 3 (20-50 cm) expressed in cm (weighted
+ average) for the available water storage calculation. NULL values are presented
+ where data are incomplete or not available.\"},\"tk20_50s\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"tk20_50s\",\"description\":\"Thickness
+ of soil components used in standard layer 3 (20-50 cm) expressed in cm (weighted
+ average) for the Soil Organic Carbon calculation. NULL values are presented
+ where data are incomplete or not available.\"},\"aws50_100\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"aws50_100\",\"description\":\"Available
+ water storage estimate (AWS) in standard layer 3 (50-100 cm depth), expressed
+ in mm. The volume of plant available water that the soil can store in this
+ layer based on all map unit components (weighted average). NULL values are
+ presented where data are incomplete or not available.\"},\"musumcpct\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"musumcpct\",\"description\":\"The
+ sum of the comppct_r (SSURGO component table) values for all listed components
+ in the map unit. Useful metadata information. NULL values are presented where
+ data are incomplete or not available.\"},\"nccpi3all\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"nccpi3all\",\"description\":\"National
+ Commodity Crop Productivity Index that has the highest value among Corn and
+ Soybeans, Small Grains, or Cotton (weighted average) for major earthy components.
+ Values range from .01 (low productivity) to .99 (high productivity). Earthy
+ components are those soil series or higher level taxa components that can
+ support crop growth (Dobos et al., 2012). Major components are those soil
+ components where the majorcompflag = 'Yes' (SSURGO component table). NULL
+ values are presented where data are incomplete or not available.\"},\"nccpi3cot\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"nccpi3cot\",\"description\":\"National
+ Commodity Crop Productivity Index for Cotton (weighted average) for major
+ earthy components. Values range from .01 (low productivity) to .99 (high productivity).
+ Earthy components are those soil series or higher level taxa components that
+ can support crop growth (Dobos et al., 2012). Major components are those soil
+ components where the majorcompflag = 'Yes' (SSURGO component table). NULL
+ values are presented where data are incomplete or not available.\"},\"nccpi3soy\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"nccpi3soy\",\"description\":\"National
+ Commodity Crop Productivity Index for Soybeans (weighted average) for major
+ earthy components. Values range from .01 (low productivity) to .99 (high productivity).
+ Earthy components are those soil series or higher level taxa components that
+ can support crop growth (Dobos et al., 2012). Major components are those soil
+ components where the majorcompflag = 'Yes' (SSURGO component table). NULL
+ values are presented where data are incomplete or not available.\"},\"pwsl1pomu\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"pwsl1pomu\",\"description\":\"Potential
+ Wetland Soil Landscapes (PWSL) is expressed as the percentage of the map unit
+ that meets the PWSL criteria. The hydric rating (soil component variable \u201Chydricrating\u201D)
+ is an indicator of wet soils. For version 1 (pwsl1), those soil components
+ that meet the following criteria are tagged as PWSL and their comppct_r values
+ are summed for each map unit. Soil components with hydricrating = 'YES' are
+ considered PWSL. Soil components with hydricrating = \u201CNO\u201D are not
+ PWSL. Soil components with hydricrating = 'UNRANKED' are tested using other
+ attributes, and will be considered PWSL if any of the following conditions
+ are met: drainagecl = 'Poorly drained' or 'Very poorly drained' or the localphase
+ or the otherph data fields contain any of the phrases \\\"drained\\\" or \\\"undrained\\\"
+ or \\\"channeled\\\" or \\\"protected\\\" or \\\"ponded\\\" or \\\"flooded\\\".
+ If these criteria do not determine the PWSL for a component and hydricrating
+ = 'UNRANKED', then the map unit will be classified as PWSL if the map unit
+ name contains any of the phrases \\\"drained\\\" or \\\"undrained\\\" or \\\"channeled\\\"
+ or \\\"protected\\\" or \\\"ponded\\\" or \\\"flooded\\\". For version 1 (pwsl1),
+ waterbodies are identified as \\\"999\\\" when map unit names match a list
+ of terms that identify water or intermittent water or map units have a sum
+ of the comppct_r for \\\"Water\\\" that is 80% or greater. NULL values are
+ presented where data are incomplete or not available.\"},\"rootznaws\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"rootznaws\",\"description\":\"Root
+ zone (commodity crop) available water storage estimate (RZAWS) , expressed
+ in mm, is the volume of plant available water that the soil can store within
+ the root zone based on all map unit earthy major components (weighted average).
+ Earthy components are those soil series or higher level taxa components that
+ can support crop growth (Dobos et al., 2012). Major components are those soil
+ components where the majorcompflag = 'Yes' (SSURGO component table). NULL
+ values are presented where data are incomplete or not available.\"},\"rootznemc\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"rootznemc\",\"description\":\"Root
+ zone depth is the depth within the soil profile that commodity crop (cc) roots
+ can effectively extract water and nutrients for growth. Root zone depth influences
+ soil productivity significantly. Soil component horizon criteria for root-limiting
+ depth include: presence of hard bedrock, soft bedrock, a fragipan, a duripan,
+ sulfuric material, a dense layer, a layer having a pH of less than 3.5, or
+ a layer having an electrical conductivity of more than 12 within the component
+ soil profile. If no root-restricting zone is identified, a depth of 150 cm
+ is used to approximate the root zone depth (Dobos et al., 2012). Root zone
+ depth is computed for all map unit major earthy components (weighted average).
+ Earthy components are those soil series or higher level taxa components that
+ can support crop growth (Dobos et al., 2012). Major components are those soil
+ components where the majorcompflag = 'Yes' (SSURGO component table). NULL
+ values are presented where data are incomplete or not available.\"},\"soc50_100\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"soc50_100\",\"description\":\"Soil
+ organic carbon stock estimate (SOC) in standard layer 4 (50-100 cm depth).
+ The concentration of organic carbon present in the soil expressed in grams
+ C per square meter for the 50-100 cm layer. NULL values are presented where
+ data are incomplete or not available.\"},\"tk50_100a\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"tk50_100a\",\"description\":\"Thickness
+ of soil components used in standard layer 4 (50-100 cm) expressed in cm (weighted
+ average) for the available water storage calculation. NULL values are presented
+ where data are incomplete or not available.\"},\"tk50_100s\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"tk50_100s\",\"description\":\"Thickness
+ of soil components used in standard layer 4 (50-100 cm) expressed in cm (weighted
+ average) for the Soil Organic Carbon calculation. NULL values are presented
+ where data are incomplete or not available.\"},\"aws100_150\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"aws100_150\",\"description\":\"Available
+ water storage estimate (AWS) in standard layer 5 (100-150 cm depth), expressed
+ in mm. The volume of plant available water that the soil can store in this
+ layer based on all map unit components (weighted average). NULL values are
+ presented where data are incomplete or not available.\"},\"aws150_999\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"aws150_999\",\"description\":\"Available
+ water storage estimate (AWS) in standard layer 6 (150 cm to the reported depth
+ of the soil profile), expressed in mm. The volume of plant available water
+ that the soil can store in this layer based on all map unit components (weighted
+ average). NULL values are presented where data are incomplete or not available.\"},\"musumcpcta\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"musumcpcta\",\"description\":\"The
+ sum of the comppct_r (SSURGO component table) values used in the available
+ water storage calculation for the map unit. Useful metadata information. NULL
+ values are presented where data are incomplete or not available.\"},\"musumcpcts\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"musumcpcts\",\"description\":\"The
+ sum of the comppct_r (SSURGO component table) values used in the soil organic
+ carbon calculation for the map unit. Useful metadata information. NULL values
+ are presented where data are incomplete or not available.\"},\"nccpi3corn\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"nccpi3corn\",\"description\":\"National
+ Commodity Crop Productivity Index for Corn (weighted average) for major earthy
+ components. Values range from .01 (low productivity) to .99 (high productivity).
+ Earthy components are those soil series or higher level taxa components that
+ can support crop growth (Dobos et al., 2012). Major components are those soil
+ components where the majorcompflag = 'Yes' (SSURGO component table). NULL
+ values are presented where data are incomplete or not available.\"},\"pctearthmc\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"pctearthmc\",\"description\":\"The
+ National Commodity Crop Productivity Index map unit percent earthy is the
+ map unit summed comppct_r for major earthy components. Earthy components are
+ those soil series or higher level taxa components that can support crop growth
+ (Dobos et al., 2012). Major components are those soil components where the
+ majorcompflag = 'Yes' (SSURGO component table). Useful metadata information.
+ NULL values are presented where data are incomplete or not available.\"},\"soc100_150\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"soc100_150\",\"description\":\"Soil
+ organic carbon stock estimate (SOC) in standard layer 5 (100-150 cm depth).
+ The concentration of organic carbon present in the soil expressed in grams
+ C per square meter for the 100-150 cm layer. NULL values are presented where
+ data are incomplete or not available.\"},\"soc150_999\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"soc150_999\",\"description\":\"Soil
+ organic carbon stock estimate (SOC) in standard layer 6 (150 cm to the reported
+ depth of the soil profile). The concentration of organic carbon present in
+ the soil expressed in grams C per square meter for the 150 cm and greater
+ depth layer. NULL values are presented where data are incomplete or not available.\"},\"tk100_150a\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"tk100_150a\",\"description\":\"Thickness
+ of soil components used in standard layer 5 (100-150 cm) expressed in cm (weighted
+ average) for the available water storage calculation. NULL values are presented
+ where data are incomplete or not available.\"},\"tk100_150s\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"tk100_150s\",\"description\":\"Thickness
+ of soil components used in standard layer 5 (100-150 cm) expressed in cm (weighted
+ average) for the Soil Organic Carbon calculation. NULL values are presented
+ where data are incomplete or not available.\"},\"tk150_999a\":{\"type\":\"image/tiff;
+ application=geotiff; profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"tk150_999a\",\"description\":\"Thickness
+ of soil components used in standard layer 6 (150 cm to the reported depth
+ of the soil profile) expressed in cm (weighted average) for the available
+ water storage calculation. NULL values are presented where data are incomplete
+ or not available.\"},\"tk150_999s\":{\"type\":\"image/tiff; application=geotiff;
+ profile=cloud-optimized\",\"roles\":[\"data\"],\"title\":\"tk150_999s\",\"description\":\"Thickness
+ of soil components used in standard layer 6 (150 cm to the reported depth
+ of the soil profile) expressed in cm (weighted average) for the Soil Organic
+ Carbon calculation. NULL values are presented where data are incomplete or
+ not available.\"}},\"stac_version\":\"1.0.0\",\"msft:group_id\":\"gnatsgo\",\"msft:container\":\"gnatsgo-stac\",\"stac_extensions\":[\"https://stac-extensions.github.io/table/v1.2.0/schema.json\"],\"msft:storage_account\":\"soils\",\"msft:short_description\":\"Raster
+ data for the gridded National Soil Survey Geographic Database (gNATSGO), a
+ USDA-NRCS Soil & Plant Science Division (SPSD) composite database that provides
+ complete coverage of the best available soils information for all areas of
+ the United States and Island Territories.\",\"msft:region\":\"westeurope\"}"
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+ storm-relative helicity\"},\"SSTSK\":{\"type\":\"data\",\"unit\":\"K\",\"attrs\":{\"units\":\"K\",\"stagger\":\"\",\"description\":\"SKIN
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+ SEA SURFACE TEMPERATURE\"},\"SWDNB\":{\"type\":\"data\",\"unit\":\"W m-2\",\"attrs\":{\"units\":\"W
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+ UPWELLING SHORTWAVE FLUX AT BOTTOM\"},\"SWUPT\":{\"type\":\"data\",\"unit\":\"W
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+ AGL U-component Wind Shear\"},\"USHR6\":{\"type\":\"data\",\"unit\":\"s-1\",\"attrs\":{\"units\":\"s-1\",\"stagger\":\"\",\"description\":\"0-6km
+ AGL U-component Wind Shear\"},\"shape\":[376944,1015,1367],\"chunks\":[1,1015,1367],\"dimensions\":[\"time\",\"south_north\",\"west_east\"],\"description\":\"0-6km
+ AGL U-component Wind Shear\"},\"VSHR1\":{\"type\":\"data\",\"unit\":\"s-1\",\"attrs\":{\"units\":\"s-1\",\"stagger\":\"\",\"description\":\"0-1km
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+ AGL V-component Wind Shear\"},\"VSHR6\":{\"type\":\"data\",\"unit\":\"s-1\",\"attrs\":{\"units\":\"s-1\",\"stagger\":\"\",\"description\":\"0-6km
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+ AGL V-component Wind Shear\"},\"ZSNSO\":{\"type\":\"data\",\"unit\":\"m\",\"attrs\":{\"units\":\"m\",\"stagger\":\"Z\",\"description\":\"layer-bottom
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+ SOUTH IS NEGATIVE\"},\"lon_u\":{\"type\":\"auxiliary\",\"unit\":\"degree_east\",\"attrs\":{\"units\":\"degree_east\",\"stagger\":\"X\",\"description\":\"LONGITUDE,
+ WEST IS NEGATIVE\"},\"shape\":[1015,1368],\"chunks\":[882,1188],\"dimensions\":[\"south_north\",\"west_east_stag\"],\"description\":\"LONGITUDE,
+ WEST IS NEGATIVE\"},\"lon_v\":{\"type\":\"auxiliary\",\"unit\":\"degree_east\",\"attrs\":{\"units\":\"degree_east\",\"stagger\":\"Y\",\"description\":\"LONGITUDE,
+ WEST IS NEGATIVE\"},\"shape\":[1016,1367],\"chunks\":[883,1187],\"dimensions\":[\"south_north_stag\",\"west_east\"],\"description\":\"LONGITUDE,
+ WEST IS NEGATIVE\"},\"ACDEWC\":{\"type\":\"data\",\"unit\":\"mm\",\"attrs\":{\"units\":\"mm\",\"stagger\":\"\",\"long_name\":\"Accumulated
+ canopy dew rate, accumulated over prior 60 minutes\",\"description\":\"acccumlated
+ QDEWC\"},\"shape\":[376944,1015,1367],\"chunks\":[1,1015,1367],\"dimensions\":[\"time\",\"south_north\",\"west_east\"],\"description\":\"acccumlated
+ QDEWC\"},\"ACECAN\":{\"type\":\"data\",\"unit\":\"mm\",\"attrs\":{\"units\":\"mm\",\"stagger\":\"\",\"long_name\":\"Accumulated
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+ canopy evaporation, accumulated over prior 60 minutes\",\"description\":\"acccumlated
+ QEVAC\"},\"shape\":[376944,1015,1367],\"chunks\":[1,1015,1367],\"dimensions\":[\"time\",\"south_north\",\"west_east\"],\"description\":\"acccumlated
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+ QINTR\"},\"shape\":[376944,1015,1367],\"chunks\":[1,1015,1367],\"dimensions\":[\"time\",\"south_north\",\"west_east\"],\"description\":\"acccumlated
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+ m-2\",\"attrs\":{\"units\":\"W m-2\",\"stagger\":\"\",\"description\":\"NORMAL
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+ downwelling longwave radiation flux at top, accumulated since last bucket_J
+ (1.0e9 J m-2) reset\",\"description\":\"ACCUMULATED DOWNWELLING LONGWAVE FLUX
+ AT TOP\"},\"shape\":[376944,1015,1367],\"chunks\":[1,1015,1367],\"dimensions\":[\"time\",\"south_north\",\"west_east\"],\"description\":\"ACCUMULATED
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+ upwelling longwave radiation flux at bottom, accumulated since last bucket_J
+ (1.0e9 J m-2) reset\",\"description\":\"ACCUMULATED UPWELLING LONGWAVE FLUX
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+ upwelling longwave radiation flux at top, accumulated since last bucket_J
+ (1.0e9 J m-2) reset\",\"description\":\"ACCUMULATED UPWELLING LONGWAVE FLUX
+ AT TOP\"},\"shape\":[376944,1015,1367],\"chunks\":[1,1015,1367],\"dimensions\":[\"time\",\"south_north\",\"west_east\"],\"description\":\"ACCUMULATED
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+ upwelling clear sky longwave radiation flux at top, accumulated since last
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+ SKY LONGWAVE FLUX AT TOP\"},\"shape\":[376944,1015,1367],\"chunks\":[1,1015,1367],\"dimensions\":[\"time\",\"south_north\",\"west_east\"],\"description\":\"ACCUMULATED
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+ m-2\",\"attrs\":{\"units\":\"J m-2\",\"stagger\":\"\",\"long_name\":\"Accumulated
+ downwelling clear sky shortwave radiation flux at top, accumulated since last
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+ upwelling clear sky shortwave radiation flux at bottom, accumulated since
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+ CLEAR SKY SHORTWAVE FLUX AT BOTTOM\"},\"shape\":[376944,1015,1367],\"chunks\":[1,1015,1367],\"dimensions\":[\"time\",\"south_north\",\"west_east\"],\"description\":\"ACCUMULATED
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+ SKY SHORTWAVE FLUX AT TOP\"},\"shape\":[376944,1015,1367],\"chunks\":[1,1015,1367],\"dimensions\":[\"time\",\"south_north\",\"west_east\"],\"description\":\"ACCUMULATED
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+ T into LSM\"},\"shape\":[376944,1015,1367],\"chunks\":[1,1015,1367],\"dimensions\":[\"time\",\"south_north\",\"west_east\"],\"description\":\"lowest
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+ wind speed into LSM\"},\"shape\":[376944,1015,1367],\"chunks\":[1,1015,1367],\"dimensions\":[\"time\",\"south_north\",\"west_east\"],\"description\":\"lowest
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+ REFLECTIVITY\"},\"shape\":[376944,1015,1367],\"chunks\":[1,1015,1367],\"dimensions\":[\"time\",\"south_north\",\"west_east\"],\"description\":\"COMPOSITE
+ REFLECTIVITY\"},\"totalIce\":{\"type\":\"data\",\"unit\":\"kg kg-1\",\"attrs\":{\"units\":\"kg
+ kg-1\",\"stagger\":\"\",\"sum_op_ncl\":\"dim_sum_n over dimension(s): bottom_top\",\"description\":\"Ice
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+ mixing ratio\"},\"totalLiq\":{\"type\":\"data\",\"unit\":\"kg kg-1\",\"attrs\":{\"units\":\"kg
+ kg-1\",\"stagger\":\"\",\"sum_op_ncl\":\"dim_sum_n over dimension(s): bottom_top\",\"description\":\"Cloud
+ water mixing ratio\"},\"shape\":[376944,1015,1367],\"chunks\":[1,1015,1367],\"dimensions\":[\"time\",\"south_north\",\"west_east\"],\"description\":\"Cloud
+ water mixing ratio\"},\"totalVap\":{\"type\":\"data\",\"unit\":\"kg kg-1\",\"attrs\":{\"units\":\"kg
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+ Domain"},{"rel":"describedby","href":"https://planetarycomputer.microsoft.com/dataset/landsat-c2-l2","title":"Human
+ readable dataset overview and reference","type":"text/html"}],"title":"Landsat
+ Collection 2 Level-2","assets":{"thumbnail":{"href":"https://ai4edatasetspublicassets.blob.core.windows.net/assets/pc_thumbnails/landsat-c2-l2-thumb.png","type":"image/png","roles":["thumbnail"],"title":"Landsat
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+ green (Enhanced Thematic Mapper Plus)","center_wavelength":0.56,"full_width_half_max":0.08},{"name":"ETM_B3","common_name":"red","description":"Visible
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+ and [surface temperature](https://www.usgs.gov/landsat-missions/landsat-collection-2-surface-temperature)
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+ application=geotiff; profile=cloud-optimized","roles":["data"],"title":"Emissivity
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+ Deviation Band (ST_EMSD) Surface Temperature Product","raster:bands":[{"unit":"emissivity
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+ application=geotiff; profile=cloud-optimized","roles":["data-mask","water-mask"],"title":"Aerosol
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+ to Use Copernicus Products"},{"rel":"describedby","href":"https://confluence.ecmwf.int/display/CKB/ERA5","type":"text/html","title":"Project
+ homepage"},{"rel":"describedby","href":"https://confluence.ecmwf.int/display/CKB/How+to+acknowledge+and+cite+a+Climate+Data+Store+%28CDS%29+catalogue+entry+and+the+data+published+as+part+of+it","type":"text/html","title":"How
+ to cite"},{"rel":"describedby","href":"https://planetarycomputer.microsoft.com/dataset/era5-pds","title":"Human
+ readable dataset overview and reference","type":"text/html"}],"title":"ERA5
+ - PDS","assets":{"thumbnail":{"href":"https://ai4edatasetspublicassets.blob.core.windows.net/assets/pc_thumbnails/era5-thumbnail.png","type":"image/png","title":"Thumbnail"},"geoparquet-items":{"href":"abfs://items/era5-pds.parquet","roles":["stac-items"],"title":"GeoParquet
+ STAC items","media_type":"application/x-parquet","description":"Snapshot of
+ the collection''s STAC items exported to GeoParquet format.","extra_fields":{"msft:partition_info":{"is_partitioned":false},"table:storage_options":{"account_name":"pcstacitems"}}}},"extent":{"spatial":{"bbox":[[-180,-90,180,90]]},"temporal":{"interval":[["1979-01-01T00:00:00Z",null]]}},"license":"proprietary","keywords":["ERA5","ECMWF","Precipitation","Temperature","Reanalysis","Weather"],"providers":[{"url":"https://www.ecmwf.int/","name":"ECMWF","roles":["producer","licensor"]},{"url":"https://planetos.com/","name":"Planet
+ OS","roles":["processor"]},{"url":"https://planetarycomputer.microsoft.com","name":"Microsoft","roles":["host"]}],"summaries":{"era5:kind":["fc","an"]},"description":"ERA5
+ is the fifth generation ECMWF atmospheric reanalysis of the global climate\ncovering
+ the period from January 1950 to present. ERA5 is produced by the\nCopernicus
+ Climate Change Service (C3S) at ECMWF.\n\nReanalysis combines model data with
+ observations from across the world into a\nglobally complete and consistent
+ dataset using the laws of physics. This\nprinciple, called data assimilation,
+ is based on the method used by numerical\nweather prediction centres, where
+ every so many hours (12 hours at ECMWF) a\nprevious forecast is combined with
+ newly available observations in an optimal\nway to produce a new best estimate
+ of the state of the atmosphere, called\nanalysis, from which an updated, improved
+ forecast is issued. Reanalysis works\nin the same way, but at reduced resolution
+ to allow for the provision of a\ndataset spanning back several decades. Reanalysis
+ does not have the constraint\nof issuing timely forecasts, so there is more
+ time to collect observations, and\nwhen going further back in time, to allow
+ for the ingestion of improved versions\nof the original observations, which
+ all benefit the quality of the reanalysis\nproduct.\n\nThis dataset was converted
+ to Zarr by [Planet OS](https://planetos.com/).\nSee [their documentation](https://github.com/planet-os/notebooks/blob/master/aws/era5-pds.md)\nfor
+ more.\n\n## STAC Metadata\n\nTwo types of data variables are provided: \"forecast\"
+ (`fc`) and \"analysis\" (`an`).\n\n* An **analysis**, of the atmospheric conditions,
+ is a blend of observations\n with a previous forecast. An analysis can only
+ provide\n [instantaneous](https://confluence.ecmwf.int/display/CKB/Model+grid+box+and+time+step)\n parameters
+ (parameters valid at a specific time, e.g temperature at 12:00),\n but not
+ accumulated parameters, mean rates or min/max parameters.\n* A **forecast**
+ starts with an analysis at a specific time (the ''initialization\n time''),
+ and a model computes the atmospheric conditions for a number of\n ''forecast
+ steps'', at increasing ''validity times'', into the future. A forecast\n can
+ provide\n [instantaneous](https://confluence.ecmwf.int/display/CKB/Model+grid+box+and+time+step)\n parameters,
+ accumulated parameters, mean rates, and min/max parameters.\n\nEach [STAC](https://stacspec.org/)
+ item in this collection covers a single month\nand the entire globe. There
+ are two STAC items per month, one for each type of data\nvariable (`fc` and
+ `an`). The STAC items include an `ecmwf:kind` properties to\nindicate which
+ kind of variables that STAC item catalogs.\n\n## How to acknowledge, cite
+ and refer to ERA5\n\nAll users of data on the Climate Data Store (CDS) disks
+ (using either the web interface or the CDS API) must provide clear and visible
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+ Florida Bayhead Swamp","South Florida Cypress Dome","South Florida Dwarf Cypress
+ Savanna","South Florida Mangrove Swamp","South Florida Hardwood Hammock","Southeast
+ Florida Coastal Strand and Maritime Hammock","Southwest Florida Coastal Strand
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+ Plain Fall-line Sandhills Longleaf Pine Woodland - Scrub/Shrub Understory","Atlantic
+ Coastal Plain Upland Longleaf Pine Woodland","Atlantic Coastal Plain Xeric
+ River Dune","East Gulf Coastal Plain Interior Upland Longleaf Pine Woodland
+ - Open Understory Modifier","East Gulf Coastal Plain Interior Upland Longleaf
+ Pine Woodland - Scrub/Shrub Modifier","Florida Longleaf Pine Sandhill - Scrub/Shrub
+ Understory Modifier","Florida Longleaf Pine Sandhill- Open Understory Modifier","West
+ Gulf Coastal Plain Upland Longleaf Pine Forest and Woodland","Atlantic Coastal
+ Plain Central Maritime Forest","Atlantic Coastal Plain Southern Maritime Forest","Central
+ and South Texas Coastal Fringe Forest and Woodland","East Gulf Coastal Plain
+ Limestone Forest","East Gulf Coastal Plain Maritime Forest","East Gulf Coastal
+ Plain Southern Loess Bluff Forest","East Gulf Coastal Plain Southern Mesic
+ Slope Forest","Mississippi Delta Maritime Forest","Southern Coastal Plain
+ Dry Upland Hardwood Forest","Southern Coastal Plain Oak Dome and Hammock","West
+ Gulf Coastal Plain Chenier and Upper Texas Coastal Fringe Forest and Woodland","West
+ Gulf Coastal Plain Mesic Hardwood Forest","East-Central Texas Plains Pine
+ Forest and Woodland","West Gulf Coastal Plain Pine-Hardwood Forest","West
+ Gulf Coastal Plain Sandhill Oak and Shortleaf Pine Forest and Woodland","Atlantic
+ Coastal Plain Fall-Line Sandhills Longleaf Pine Woodland - Loblolly Modifier","Deciduous
+ Plantations","East Gulf Coastal Plain Interior Upland Longleaf Pine Woodland
+ - Loblolly Modifier","East Gulf Coastal Plain Interior Upland Longleaf Pine
+ Woodland - Offsite Hardwood Modifier","East Gulf Coastal Plain Near-Coast
+ Pine Flatwoods - Offsite Hardwood Modifier","Evergreen Plantation or Managed
+ Pine","California Central Valley Mixed Oak Savanna","California Coastal Closed-Cone
+ Conifer Forest and Woodland","California Coastal Live Oak Woodland and Savanna","California
+ Lower Montane Blue Oak-Foothill Pine Woodland and Savanna","Central and Southern
+ California Mixed Evergreen Woodland","Mediterranean California Lower Montane
+ Black Oak-Conifer Forest and Woodland","Southern California Oak Woodland and
+ Savanna","Madrean Encinal","Madrean Pinyon-Juniper Woodland","Madrean Pine-Oak
+ Forest and Woodland","Madrean Upper Montane Conifer-Oak Forest and Woodland","Edwards
+ Plateau Dry-Mesic Slope Forest and Woodland","Edwards Plateau Limestone Savanna
+ and Woodland","Edwards Plateau Mesic Canyon","Llano Uplift Acidic Forest,
+ Woodland and Glade","East Cascades Oak-Ponderosa Pine Forest and Woodland","Mediterranean
+ California Mixed Evergreen Forest","Mediterranean California Mixed Oak Woodland","North
+ Pacific Dry Douglas-fir-(Madrone) Forest and Woodland","North Pacific Oak
+ Woodland","Edwards Plateau Limestone Shrubland","Allegheny-Cumberland Dry
+ Oak Forest and Woodland - Hardwood","Allegheny-Cumberland Dry Oak Forest and
+ Woodland - Pine Modifier","Central and Southern Appalachian Montane Oak Forest","Central
+ and Southern Appalachian Northern Hardwood Forest","Central Appalachian Oak
+ and Pine Forest","Crosstimbers Oak Forest and Woodland","East Gulf Coastal
+ Plain Black Belt Calcareous Prairie and Woodland - Woodland Modifier","East
+ Gulf Coastal Plain Northern Dry Upland Hardwood Forest","East Gulf Coastal
+ Plain Northern Loess Plain Oak-Hickory Upland - Hardwood Modifier","East Gulf
+ Coastal Plain Northern Loess Plain Oak-Hickory Upland - Juniper Modifier","East-Central
+ Texas Plains Post Oak Savanna and Woodland","Lower Mississippi River Dune
+ Woodland and Forest","Mississippi River Alluvial Plain Dry-Mesic Loess Slope
+ Forest","North-Central Interior Dry Oak Forest and Woodland","North-Central
+ Interior Dry-Mesic Oak Forest and Woodland","Northeastern Interior Dry Oak
+ Forest - Mixed Modifier","Northeastern Interior Dry Oak Forest - Virginia/Pitch
+ Pine Modifier","Northeastern Interior Dry Oak Forest-Hardwood Modifier","Northeastern
+ Interior Dry-Mesic Oak Forest","Northern Atlantic Coastal Plain Dry Hardwood
+ Forest","Crowley''s Ridge Sand Forest","Ouachita Montane Oak Forest","Ozark-Ouachita
+ Dry Oak Woodland","Ozark-Ouachita Dry-Mesic Oak Forest","Southern and Central
+ Appalachian Oak Forest","Southern and Central Appalachian Oak Forest - Xeric","Southern
+ Interior Low Plateau Dry-Mesic Oak Forest","Southern Ridge and Valley Dry
+ Calcareous Forest","Southern Ridge and Valley Dry Calcareous Forest - Pine
+ modifier","East Gulf Coastal Plain Northern Dry Upland Hardwood Forest - Offsite
+ Pine Modifier","Managed Tree Plantation","Ruderal forest","Southern Piedmont
+ Dry Oak-(Pine) Forest - Loblolly Pine Modifier","Acadian Low-Elevation Spruce-Fir-Hardwood
+ Forest","Acadian-Appalachian Montane Spruce-Fir Forest","Appalachian Hemlock-Hardwood
+ Forest","Central and Southern Appalachian Spruce-Fir Forest","0","Laurentian-Acadian
+ Northern Hardwoods Forest","Laurentian-Acadian Northern Pine-(Oak) Forest","Laurentian-Acadian
+ Pine-Hemlock-Hardwood Forest","Paleozoic Plateau Bluff and Talus","Southern
+ Appalachian Northern Hardwood Forest","Atlantic Coastal Plain Dry and Dry-Mesic
+ Oak Forest","Atlantic Coastal Plain Fall-line Sandhills Longleaf Pine Woodland
+ - Offsite Hardwood","East Gulf Coastal Plain Interior Shortleaf Pine-Oak Forest
+ - Hardwood Modifier","East Gulf Coastal Plain Interior Shortleaf Pine-Oak
+ Forest - Mixed Modifier","Ozark-Ouachita Shortleaf Pine-Bluestem Woodland","Ozark-Ouachita
+ Shortleaf Pine-Oak Forest and Woodland","Southeastern Interior Longleaf Pine
+ Woodland","Southern Appalachian Low Mountain Pine Forest","Southern Piedmont
+ Dry Oak-(Pine) Forest","Southern Piedmont Dry Oak-(Pine) Forest - Hardwood
+ Modifier","Southern Piedmont Dry Oak-(Pine) Forest - Mixed Modifier","Southern
+ Piedmont Dry Oak-Heath Forest - Mixed Modifier","Eastern Great Plains Tallgrass
+ Aspen Parkland","Northwestern Great Plains Aspen Forest and Parkland","Northwestern
+ Great Plains Shrubland","Western Great Plains Dry Bur Oak Forest and Woodland","Western
+ Great Plains Wooded Draw and Ravine","Southern Atlantic Coastal Plain Mesic
+ Hardwood Forest","East Gulf Coastal Plain Northern Loess Bluff Forest","East
+ Gulf Coastal Plain Northern Mesic Hardwood Forest","North-Central Interior
+ Beech-Maple Forest","North-Central Interior Maple-Basswood Forest","Ozark-Ouachita
+ Mesic Hardwood Forest","South-Central Interior Mesophytic Forest","Southern
+ and Central Appalachian Cove Forest","Crowley''s Ridge Mesic Loess Slope Forest","Southern
+ Piedmont Mesic Forest","Appalachian Shale Barrens","Atlantic Coastal Plain
+ Northern Maritime Forest","Laurentian Pine-Oak Barrens","Northeastern Interior
+ Pine Barrens","Northern Atlantic Coastal Plain Pitch Pine Barrens","Southern
+ Appalachian Montane Pine Forest and Woodland","East Cascades Mesic Montane
+ Mixed-Conifer Forest and Woodland","Middle Rocky Mountain Montane Douglas-fir
+ Forest and Woodland","Northern Rocky Mountain Dry-Mesic Montane Mixed Conifer
+ Forest","Northern Rocky Mountain Foothill Conifer Wooded Steppe","Northern
+ Rocky Mountain Mesic Montane Mixed Conifer Forest","Northern Rocky Mountain
+ Ponderosa Pine Woodland and Savanna","Northern Rocky Mountain Western Larch
+ Savanna","Northwestern Great Plains - Black Hills Ponderosa Pine Woodland
+ and Savanna","Rocky Mountain Foothill Limber Pine-Juniper Woodland","Inter-Mountain
+ Basins Aspen-Mixed Conifer Forest and Woodland","Inter-Mountain Basins Subalpine
+ Limber-Bristlecone Pine Woodland","Northern Rocky Mountain Subalpine Woodland
+ and Parkland","Rocky Mountain Aspen Forest and Woodland","Rocky Mountain Lodgepole
+ Pine Forest","Rocky Mountain Poor-Site Lodgepole Pine Forest","Rocky Mountain
+ Subalpine Dry-Mesic Spruce-Fir Forest and Woodland","Rocky Mountain Subalpine
+ Mesic Spruce-Fir Forest and Woodland","Rocky Mountain Subalpine-Montane Limber-Bristlecone
+ Pine Woodland","Rocky Mountain Bigtooth Maple Ravine Woodland","Southern Rocky
+ Mountain Dry-Mesic Montane Mixed Conifer Forest and Woodland","Southern Rocky
+ Mountain Mesic Montane Mixed Conifer Forest and Woodland","Southern Rocky
+ Mountain Ponderosa Pine Savanna","Southern Rocky Mountain Ponderosa Pine Woodland","California
+ Montane Jeffrey Pine-(Ponderosa Pine) Woodland","Klamath-Siskiyou Lower Montane
+ Serpentine Mixed Conifer Woodland","Klamath-Siskiyou Upper Montane Serpentine
+ Mixed Conifer Woodland","Mediterranean California Dry-Mesic Mixed Conifer
+ Forest and Woodland","Mediterranean California Mesic Mixed Conifer Forest
+ and Woodland","Sierran-Intermontane Desert Western White Pine-White Fir Woodland","California
+ Coastal Redwood Forest","North Pacific Broadleaf Landslide Forest and Shrubland","North
+ Pacific Dry-Mesic Silver Fir-Western Hemlock-Douglas-fir Forest","North Pacific
+ Hypermaritime Sitka Spruce Forest","North Pacific Hypermaritime Western Red-cedar-Western
+ Hemlock Forest","North Pacific Lowland Mixed Hardwood-Conifer Forest and Woodland","North
+ Pacific Maritime Dry-Mesic Douglas-fir-Western Hemlock Forest","North Pacific
+ Maritime Mesic-Wet Douglas-fir-Western Hemlock Forest","North Pacific Mesic
+ Western Hemlock-Silver Fir Forest","North Pacific Wooded Volcanic Flowage","Mediterranean
+ California Red Fir Forest","Mediterranean California Subalpine Woodland","North
+ Pacific Maritime Mesic Subalpine Parkland","North Pacific Mountain Hemlock
+ Forest","Northern California Mesic Subalpine Woodland","Northern Pacific Mesic
+ Subalpine Woodland","Sierra Nevada Subalpine Lodgepole Pine Forest and Woodland","Columbia
+ Plateau Western Juniper Woodland and Savanna","Great Basin Pinyon-Juniper
+ Woodland","Inter-Mountain Basins Curl-leaf Mountain Mahogany Woodland and
+ Shrubland","Inter-Mountain Basins Juniper Savanna","Colorado Plateau Pinyon-Juniper
+ Shrubland","Colorado Plateau Pinyon-Juniper Woodland","Southern Rocky Mountain
+ Juniper Woodland and Savanna","Southern Rocky Mountain Pinyon-Juniper Woodland","Northwestern
+ Great Plains Floodplain","Northwestern Great Plains Riparian","Western Great
+ Plains Floodplain","Western Great Plains Floodplain Systems","Western Great
+ Plains Riparian Woodland and Shrubland","Central Appalachian Floodplain -
+ Forest Modifier","Central Appalachian Riparian - Forest Modifier","Central
+ Interior and Appalachian Floodplain Systems","Central Interior and Appalachian
+ Riparian Systems","Laurentian-Acadian Floodplain Systems","Ozark-Ouachita
+ Riparian","South-Central Interior Large Floodplain","South-Central Interior
+ Large Floodplain - Forest Modifier","South-Central Interior Small Stream and
+ Riparian","North-Central Interior and Appalachian Rich Swamp","0","0","Laurentian-Acadian
+ Swamp Systems","North-Central Interior Wet Flatwoods","0","South-Central Interior
+ / Upper Coastal Plain Wet Flatwoods","0","Southern Piedmont/Ridge and Valley
+ Upland Depression Swamp","Atlantic Coastal Plain Blackwater Stream Floodplain
+ Forest - Forest Modifier","Atlantic Coastal Plain Brownwater Stream Floodplain
+ Forest","Atlantic Coastal Plain Northern Tidal Wooded Swamp","Atlantic Coastal
+ Plain Small Blackwater River Floodplain Forest","Atlantic Coastal Plain Small
+ Brownwater River Floodplain Forest","Atlantic Coastal Plain Southern Tidal
+ Wooded Swamp","East Gulf Coastal Plain Large River Floodplain Forest - Forest
+ Modifier","East Gulf Coastal Plain Small Stream and River Floodplain Forest","East
+ Gulf Coastal Plain Tidal Wooded Swamp","0","Southeastern Great Plains Riparian
+ Forest","Southeastern Great Plains Floodplain Forest","Mississippi River Bottomland
+ Depression","Mississippi River Floodplain and Riparian Forest","Mississippi
+ River Low Floodplain (Bottomland) Forest","Mississippi River Riparian Forest","Red
+ River Large Floodplain Forest","Southern Coastal Plain Blackwater River Floodplain
+ Forest","Southern Piedmont Large Floodplain Forest - Forest Modifier","Southern
+ Piedmont Small Floodplain and Riparian Forest","West Gulf Coastal Plain Large
+ River Floodplain Forest","West Gulf Coastal Plain Near-Coast Large River Swamp","West
+ Gulf Coastal Plain Small Stream and River Forest","Atlantic Coastal Plain
+ Streamhead Seepage Swamp - Pocosin - and Baygall","Gulf and Atlantic Coastal
+ Plain Swamp Systems","Southern Coastal Plain Hydric Hammock","Southern Coastal
+ Plain Seepage Swamp and Baygall","West Gulf Coastal Plain Seepage Swamp and
+ Baygall","Atlantic Coastal Plain Nonriverine Swamp and Wet Hardwood Forest -
+ Taxodium/Nyssa Modifier","Atlantic Coastal Plain Nonriverine Swamp and Wet
+ Hardwood Forest - Oak Dominated Modifier","East Gulf Coastal Plain Southern
+ Loblolly-Hardwood Flatwoods","Lower Mississippi River Bottomland Depressions
+ - Forest Modifier","Lower Mississippi River Flatwoods","Northern Atlantic
+ Coastal Plain Basin Swamp and Wet Hardwood Forest","Southern Coastal Plain
+ Nonriverine Basin Swamp","Southern Coastal Plain Nonriverine Basin Swamp -
+ Okefenokee Bay/Gum Modifier","Southern Coastal Plain Nonriverine Basin Swamp
+ - Okefenokee Pine Modifier","Southern Coastal Plain Nonriverine Basin Swamp
+ - Okefenokee Taxodium Modifier","West Gulf Coastal Plain Nonriverine Wet Hardwood
+ Flatwoods","West Gulf Coastal Plain Pine-Hardwood Flatwoods","Edwards Plateau
+ Riparian","Atlantic Coastal Plain Clay-Based Carolina Bay Forested Wetland","Atlantic
+ Coastal Plain Clay-Based Carolina Bay Herbaceous Wetland","Atlantic Coastal
+ Plain Southern Wet Pine Savanna and Flatwoods","Central Atlantic Coastal Plain
+ Wet Longleaf Pine Savanna and Flatwoods","Central Florida Pine Flatwoods","East
+ Gulf Coastal Plain Near-Coast Pine Flatwoods","East Gulf Coastal Plain Near-Coast
+ Pine Flatwoods - Open Understory Modifier","East Gulf Coastal Plain Near-Coast
+ Pine Flatwoods - Scrub/Shrub Understory Modifier","South Florida Pine Flatwoods","Southern
+ Coastal Plain Nonriverine Cypress Dome","West Gulf Coastal Plain Wet Longleaf
+ Pine Savanna and Flatwoods","Columbia Basin Foothill Riparian Woodland and
+ Shrubland","Great Basin Foothill and Lower Montane Riparian Woodland and Shrubland","0","Northern
+ Rocky Mountain Conifer Swamp","Northern Rocky Mountain Lower Montane Riparian
+ Woodland and Shrubland","Rocky Mountain Lower Montane Riparian Woodland and
+ Shrubland","Rocky Mountain Montane Riparian Systems","Rocky Mountain Subalpine-Montane
+ Riparian Woodland","North Pacific Hardwood-Conifer Swamp","North Pacific Lowland
+ Riparian Forest and Shrubland","North Pacific Montane Riparian Woodland and
+ Shrubland","North Pacific Shrub Swamp","California Central Valley Riparian
+ Woodland and Shrubland","Mediterranean California Foothill and Lower Montane
+ Riparian Woodland","Mediterranean California Serpentine Foothill and Lower
+ Montane Riparian Woodland and Seep","North American Warm Desert Lower Montane
+ Riparian Woodland and Shrubland","North American Warm Desert Riparian Systems","North
+ American Warm Desert Riparian Woodland and Shrubland","Tamaulipan Floodplain","Tamaulipan
+ Riparian Systems","Boreal Aspen-Birch Forest","Boreal Jack Pine-Black Spruce
+ Forest","Boreal White Spruce-Fir-Hardwood Forest","Boreal-Laurentian Conifer
+ Acidic Swamp and Treed Poor Fen","Eastern Boreal Floodplain","South Florida
+ Shell Hash Beach","Southeast Florida Beach","Southwest Florida Beach","South
+ Florida Everglades Sawgrass Marsh","South Florida Freshwater Slough and Gator
+ Hole","South Florida Wet Marl Prairie","California Maritime Chaparral","California
+ Mesic Chaparral","California Xeric Serpentine Chaparral","Klamath-Siskiyou
+ Xeromorphic Serpentine Savanna and Chaparral","Mediterranean California Mesic
+ Serpentine Woodland and Chaparral","Northern and Central California Dry-Mesic
+ Chaparral","Southern California Dry-Mesic Chaparral","Southern California
+ Coastal Scrub","California Central Valley and Southern Coastal Grassland","California
+ Mesic Serpentine Grassland","Columbia Basin Foothill and Canyon Dry Grassland","Columbia
+ Basin Palouse Prairie","North Pacific Alpine and Subalpine Dry Grassland","North
+ Pacific Montane Grassland","North Pacific Montane Shrubland","Northern Rocky
+ Mountain Lower Montane, Foothill and Valley Grassland","Northern Rocky Mountain
+ Montane-Foothill Deciduous Shrubland","Northern Rocky Mountain Subalpine Deciduous
+ Shrubland","Northern Rocky Mountain Subalpine-Upper Montane Grassland","Southern
+ Rocky Mountain Montane-Subalpine Grassland","Rocky Mountain Gambel Oak-Mixed
+ Montane Shrubland","Rocky Mountain Lower Montane-Foothill Shrubland","California
+ Northern Coastal Grassland","North Pacific Herbaceous Bald and Bluff","North
+ Pacific Hypermaritime Shrub and Herbaceous Headland","Willamette Valley Upland
+ Prairie and Savanna","Mediterranean California Subalpine Meadow","Rocky Mountain
+ Subalpine-Montane Mesic Meadow","Central Mixedgrass Prairie","Northwestern
+ Great Plains Mixedgrass Prairie","Western Great Plains Foothill and Piedmont
+ Grassland","Western Great Plains Tallgrass Prairie","Western Great Plains
+ Sand Prairie","Western Great Plains Sandhill Steppe","Western Great Plains
+ Mesquite Woodland and Shrubland","Western Great Plains Shortgrass Prairie","Arkansas
+ Valley Prairie and Woodland","Central Tallgrass Prairie","North-Central Interior
+ Oak Savanna","North-Central Interior Sand and Gravel Tallgrass Prairie","North-Central
+ Oak Barrens","Northern Tallgrass Prairie","Southeastern Great Plains Tallgrass
+ Prairie","Texas Blackland Tallgrass Prairie","Texas-Louisiana Coastal Prairie","Central
+ Appalachian Pine-Oak Rocky Woodland","Southern Appalachian Grass and Shrub
+ Bald","Southern Appalachian Grass and Shrub Bald - Herbaceous Modifier","Southern
+ Appalachian Grass and Shrub Bald - Shrub Modifier","Central Appalachian Alkaline
+ Glade and Woodland","Central Interior Highlands Calcareous Glade and Barrens","Central
+ Interior Highlands Dry Acidic Glade and Barrens","Cumberland Sandstone Glade
+ and Barrens","Great Lakes Alvar","Nashville Basin Limestone Glade","Southern
+ Ridge and Valley / Cumberland Dry Calcareous Forest","Southern Piedmont Glade
+ and Barrens","East Gulf Coastal Plain Black Belt Calcareous Prairie and Woodland
+ - Herbaceous Modifier","East Gulf Coastal Plain Jackson Prairie and Woodland","Eastern
+ Highland Rim Prairie and Barrens - Dry Modifier","Coahuilan Chaparral","Madrean
+ Oriental Chaparral","Mogollon Chaparral","Sonora-Mojave Semi-Desert Chaparral","California
+ Montane Woodland and Chaparral","Great Basin Semi-Desert Chaparral","Florida
+ Dry Prairie","Florida Peninsula Inland Scrub","West Gulf Coastal Plain Catahoula
+ Barrens","West Gulf Coastal Plain Nepheline Syenite Glade","East Gulf Coastal
+ Plain Jackson Plain Dry Flatwoods - Open Understory Modifier","West Gulf Coastal
+ Plain Northern Calcareous Prairie","West Gulf Coastal Plain Southern Calcareous
+ Prairie","Acadian-Appalachian Subalpine Woodland and Heath-Krummholz","Atlantic
+ and Gulf Coastal Plain Interdunal Wetland","Atlantic Coastal Plain Southern
+ Dune and Maritime Grassland","Central and Upper Texas Coast Dune and Coastal
+ Grassland","East Gulf Coastal Plain Dune and Coastal Grassland","Great Lakes
+ Dune","Northern Atlantic Coastal Plain Dune and Swale","Northern Atlantic
+ Coastal Plain Heathland and Grassland","South Texas Dune and Coastal Grassland","South
+ Texas Sand Sheet Grassland","Southwest Florida Dune and Coastal Grassland","North
+ Pacific Coastal Cliff and Bluff","North Pacific Maritime Coastal Sand Dune
+ and Strand","Northern California Coastal Scrub","Mediterranean California
+ Coastal Bluff","Mediterranean California Northern Coastal Dune","Mediterranean
+ California Southern Coastal Dune","Atlantic Coastal Plain Northern Sandy Beach","Atlantic
+ Coastal Plain Sea Island Beach","Atlantic Coastal Plain Southern Beach","Florida
+ Panhandle Beach Vegetation","Louisiana Beach","Northern Atlantic Coastal Plain
+ Sandy Beach","Texas Coastal Bend Beach","Upper Texas Coast Beach","0","Mediterranean
+ California Serpentine Fen","Mediterranean California Subalpine-Montane Fen","North
+ Pacific Bog and Fen","Rocky Mountain Subalpine-Montane Fen","Atlantic Coastal
+ Plain Peatland Pocosin","Southern and Central Appalachian Bog and Fen","Atlantic
+ Coastal Plain Central Fresh-Oligohaline Tidal Marsh","Atlantic Coastal Plain
+ Embayed Region Tidal Freshwater Marsh","Atlantic Coastal Plain Northern Fresh
+ and Oligohaline Tidal Marsh","Florida Big Bend Fresh-Oligohaline Tidal Marsh","Atlantic
+ Coastal Plain Depression Pondshore","Atlantic Coastal Plain Large Natural
+ Lakeshore","Central Florida Herbaceous Pondshore","Central Florida Herbaceous
+ Seep","East Gulf Coastal Plain Savanna and Wet Prairie","East Gulf Coastal
+ Plain Depression Pondshore","Floridian Highlands Freshwater Marsh","Southern
+ Coastal Plain Herbaceous Seepage Bog","Southern Coastal Plain Nonriverine
+ Basin Swamp - Okefenokee Clethra Modifier","Southern Coastal Plain Nonriverine
+ Basin Swamp - Okefenokee Nupea Modifier","Texas-Louisiana Coastal Prairie
+ Slough","Central Interior and Appalachian Shrub-Herbaceous Wetland Systems","Great
+ Lakes Coastal Marsh Systems","0","0","Laurentian-Acadian Shrub-Herbaceous
+ Wetland Systems","0","Eastern Great Plains Wet Meadow, Prairie and Marsh","Great
+ Lakes Wet-Mesic Lakeplain Prairie","Great Plains Prairie Pothole","Western
+ Great Plains Closed Depression Wetland","Western Great Plains Depressional
+ Wetland Systems","Western Great Plains Open Freshwater Depression Wetland","Cumberland
+ Riverscour","Inter-Mountain Basins Interdunal Swale Wetland","North Pacific
+ Avalanche Chute Shrubland","North Pacific Intertidal Freshwater Wetland","Temperate
+ Pacific Freshwater Emergent Marsh","Temperate Pacific Freshwater Mudflat","Columbia
+ Plateau Vernal Pool","Northern California Claypan Vernal Pool","Northern Rocky
+ Mountain Wooded Vernal Pool","Columbia Plateau Silver Sagebrush Seasonally
+ Flooded Shrub-Steppe","Rocky Mountain Alpine-Montane Wet Meadow","Rocky Mountain
+ Subalpine-Montane Riparian Shrubland","Temperate Pacific Montane Wet Meadow","Willamette
+ Valley Wet Prairie","Chihuahuan-Sonoran Desert Bottomland and Swale Grassland","North
+ American Arid West Emergent Marsh","North American Warm Desert Riparian Mesquite
+ Bosque","Western Great Plains Saline Depression Wetland","Acadian Salt Marsh
+ and Estuary Systems","Atlantic Coastal Plain Central Salt and Brackish Tidal
+ Marsh","Atlantic Coastal Plain Embayed Region Tidal Salt and Brackish Marsh","Atlantic
+ Coastal Plain Indian River Lagoon Tidal Marsh","Atlantic Coastal Plain Northern
+ Tidal Salt Marsh","Florida Big Bend Salt-Brackish Tidal Marsh","Gulf and Atlantic
+ Coastal Plain Tidal Marsh Systems","Mississippi Sound Salt and Brackish Tidal
+ Marsh","Texas Saline Coastal Prairie","Temperate Pacific Tidal Salt and Brackish
+ Marsh","Inter-Mountain Basins Alkaline Closed Depression","Inter-Mountain
+ Basins Greasewood Flat","Inter-Mountain Basins Playa","North American Warm
+ Desert Playa","Apacherian-Chihuahuan Mesquite Upland Scrub","Apacherian-Chihuahuan
+ Semi-Desert Grassland and Steppe","Chihuahuan Creosotebush, Mixed Desert and
+ Thorn Scrub","Chihuahuan Gypsophilous Grassland and Steppe","Chihuahuan Loamy
+ Plains Desert Grassland","Chihuahuan Mixed Desert and Thorn Scrub","Chihuahuan
+ Sandy Plains Semi-Desert Grassland","Chihuahuan Stabilized Coppice Dune and
+ Sand Flat Scrub","Chihuahuan Succulent Desert Scrub","Madrean Juniper Savanna","Mojave
+ Mid-Elevation Mixed Desert Scrub","North American Warm Desert Active and Stabilized
+ Dune","Sonora-Mojave Creosotebush-White Bursage Desert Scrub","Sonoran Mid-Elevation
+ Desert Scrub","Sonoran Paloverde-Mixed Cacti Desert Scrub","Chihuahuan Mixed
+ Salt Desert Scrub","Sonora-Mojave Mixed Salt Desert Scrub","North American
+ Warm Desert Wash","South Texas Lomas","Tamaulipan Calcareous Thornscrub","Tamaulipan
+ Clay Grassland","Tamaulipan Mesquite Upland Scrub","Tamaulipan Mixed Deciduous
+ Thornscrub","Tamaulipan Savanna Grassland","Inter-Mountain Basins Mat Saltbush
+ Shrubland","Inter-Mountain Basins Mixed Salt Desert Scrub","Inter-Mountain
+ Basins Wash","Columbia Plateau Steppe and Grassland","Great Basin Xeric Mixed
+ Sagebrush Shrubland","Inter-Mountain Basins Big Sagebrush Shrubland","Inter-Mountain
+ Basins Big Sagebrush Steppe","Inter-Mountain Basins Montane Sagebrush Steppe","Colorado
+ Plateau Mixed Low Sagebrush Shrubland","Columbia Plateau Low Sagebrush Steppe","Columbia
+ Plateau Scabland Shrubland","Wyoming Basins Dwarf Sagebrush Shrubland and
+ Steppe","Colorado Plateau Blackbrush-Mormon-tea Shrubland","Inter-Mountain
+ Basins Semi-Desert Grassland","Inter-Mountain Basins Semi-Desert Shrub Steppe","Southern
+ Colorado Plateau Sand Shrubland","Acadian-Appalachian Alpine Tundra","Rocky
+ Mountain Alpine Dwarf-Shrubland","Rocky Mountain Alpine Fell-Field","Rocky
+ Mountain Alpine Turf","Mediterranean California Alpine Dry Tundra","Mediterranean
+ California Alpine Fell-Field","North Pacific Dry and Mesic Alpine Dwarf-Shrubland,
+ Fell-field and Meadow","Rocky Mountain Alpine Tundra/Fell-field/Dwarf-shrub
+ Map Unit","Temperate Pacific Intertidal Mudflat","Mediterranean California
+ Eelgrass Bed","North Pacific Maritime Eelgrass Bed","South-Central Interior
+ Large Floodplain - Herbaceous Modifier","East Gulf Coastal Plain Large River
+ Floodplain Forest - Herbaceous Modifier","Temperate Pacific Freshwater Aquatic
+ Bed","Central California Coast Ranges Cliff and Canyon","Mediterranean California
+ Serpentine Barrens","Southern California Coast Ranges Cliff and Canyon","Central
+ Interior Acidic Cliff and Talus","Central Interior Calcareous Cliff and Talus","East
+ Gulf Coastal Plain Dry Chalk Bluff","North-Central Appalachian Acidic Cliff
+ and Talus","North-Central Appalachian Circumneutral Cliff and Talus","Southern
+ Appalachian Montane Cliff","Southern Interior Acid Cliff","Southern Interior
+ Calcareous Cliff","Southern Piedmont Cliff","Southern Appalachian Granitic
+ Dome","Southern Appalachian Rocky Summit","Southern Piedmont Granite Flatrock","Rocky
+ Mountain Cliff, Canyon and Massive Bedrock","Klamath-Siskiyou Cliff and Outcrop","North
+ Pacific Montane Massive Bedrock, Cliff and Talus","North Pacific Serpentine
+ Barren","North Pacific Active Volcanic Rock and Cinder Land","Sierra Nevada
+ Cliff and Canyon","Western Great Plains Badland","Southwestern Great Plains
+ Canyon","Western Great Plains Cliff and Outcrop","North American Warm Desert
+ Badland","North American Warm Desert Bedrock Cliff and Outcrop","North American
+ Warm Desert Pavement","North American Warm Desert Volcanic Rockland","Colorado
+ Plateau Mixed Bedrock Canyon and Tableland","Columbia Plateau Ash and Tuff
+ Badland","Geysers and Hot Springs","Inter-Mountain Basins Active and Stabilized
+ Dune","Inter-Mountain Basins Cliff and Canyon","Inter-Mountain Basins Shale
+ Badland","Inter-Mountain Basins Volcanic Rock and Cinder Land","Rocky Mountain
+ Alpine Bedrock and Scree","Mediterranean California Alpine Bedrock and Scree","North
+ Pacific Alpine and Subalpine Bedrock and Scree","Unconsolidated Shore","Undifferentiated
+ Barren Land","North American Alpine Ice Field","Orchards Vineyards and Other
+ High Structure Agriculture","Cultivated Cropland","Pasture/Hay","Introduced
+ Upland Vegetation - Annual Grassland","Introduced Upland Vegetation - Perennial
+ Grassland and Forbland","Modified/Managed Southern Tall Grassland","Introduced
+ Upland Vegetation - Shrub","Introduced Riparian and Wetland Vegetation","Introduced
+ Upland Vegetation - Treed","0","Disturbed, Non-specific","Recently Logged
+ Areas","Harvested Forest - Grass/Forb Regeneration","Harvested Forest-Shrub
+ Regeneration","Harvested Forest - Northwestern Conifer Regeneration","Recently
+ Burned","Recently burned grassland","Recently burned shrubland","Recently
+ burned forest","Disturbed/Successional - Grass/Forb Regeneration","Disturbed/Successional
+ - Shrub Regeneration","Disturbed/Successional - Recently Chained Pinyon-Juniper","Open
+ Water (Aquaculture)","Open Water (Brackish/Salt)","Open Water (Fresh)","Quarries,
+ Mines, Gravel Pits and Oil Wells","Developed, Open Space","Developed, Low
+ Intensity","Developed, Medium Intensity","Developed, High Intensity"]}]},"description":"The
+ [USGS GAP/LANDFIRE National Terrestrial Ecosystems data](https://www.sciencebase.gov/catalog/item/573cc51be4b0dae0d5e4b0c5),
+ based on the [NatureServe Terrestrial Ecological Systems](https://www.natureserve.org/products/terrestrial-ecological-systems-united-states),
+ are the foundation of the most detailed, consistent map of vegetation available
+ for the United States. These data facilitate planning and management for
+ biological diversity on a regional and national scale.\n\nThis dataset includes
+ the [land cover](https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/science/land-cover)
+ component of the GAP/LANDFIRE project.\n\n","item_assets":{"data":{"type":"image/tiff;
+ application=geotiff; profile=cloud-optimized","roles":["data"],"title":"GeoTIFF
+ data","file:values":[{"values":[0],"summary":"0"},{"values":[1],"summary":"South
+ Florida Bayhead Swamp"},{"values":[2],"summary":"South Florida Cypress Dome"},{"values":[3],"summary":"South
+ Florida Dwarf Cypress Savanna"},{"values":[4],"summary":"South Florida Mangrove
+ Swamp"},{"values":[5],"summary":"South Florida Hardwood Hammock"},{"values":[6],"summary":"Southeast
+ Florida Coastal Strand and Maritime Hammock"},{"values":[7],"summary":"Southwest
+ Florida Coastal Strand and Maritime Hammock"},{"values":[8],"summary":"South
+ Florida Pine Rockland"},{"values":[9],"summary":"Atlantic Coastal Plain Fall-line
+ Sandhills Longleaf Pine Woodland - Open Understory"},{"values":[10],"summary":"Atlantic
+ Coastal Plain Fall-line Sandhills Longleaf Pine Woodland - Scrub/Shrub Understory"},{"values":[11],"summary":"Atlantic
+ Coastal Plain Upland Longleaf Pine Woodland"},{"values":[12],"summary":"Atlantic
+ Coastal Plain Xeric River Dune"},{"values":[13],"summary":"East Gulf Coastal
+ Plain Interior Upland Longleaf Pine Woodland - Open Understory Modifier"},{"values":[14],"summary":"East
+ Gulf Coastal Plain Interior Upland Longleaf Pine Woodland - Scrub/Shrub Modifier"},{"values":[15],"summary":"Florida
+ Longleaf Pine Sandhill - Scrub/Shrub Understory Modifier"},{"values":[16],"summary":"Florida
+ Longleaf Pine Sandhill- Open Understory Modifier"},{"values":[17],"summary":"West
+ Gulf Coastal Plain Upland Longleaf Pine Forest and Woodland"},{"values":[18],"summary":"Atlantic
+ Coastal Plain Central Maritime Forest"},{"values":[19],"summary":"Atlantic
+ Coastal Plain Southern Maritime Forest"},{"values":[20],"summary":"Central
+ and South Texas Coastal Fringe Forest and Woodland"},{"values":[21],"summary":"East
+ Gulf Coastal Plain Limestone Forest"},{"values":[22],"summary":"East Gulf
+ Coastal Plain Maritime Forest"},{"values":[23],"summary":"East Gulf Coastal
+ Plain Southern Loess Bluff Forest"},{"values":[24],"summary":"East Gulf Coastal
+ Plain Southern Mesic Slope Forest"},{"values":[25],"summary":"Mississippi
+ Delta Maritime Forest"},{"values":[26],"summary":"Southern Coastal Plain Dry
+ Upland Hardwood Forest"},{"values":[27],"summary":"Southern Coastal Plain
+ Oak Dome and Hammock"},{"values":[28],"summary":"West Gulf Coastal Plain Chenier
+ and Upper Texas Coastal Fringe Forest and Woodland"},{"values":[29],"summary":"West
+ Gulf Coastal Plain Mesic Hardwood Forest"},{"values":[30],"summary":"East-Central
+ Texas Plains Pine Forest and Woodland"},{"values":[31],"summary":"West Gulf
+ Coastal Plain Pine-Hardwood Forest"},{"values":[32],"summary":"West Gulf Coastal
+ Plain Sandhill Oak and Shortleaf Pine Forest and Woodland"},{"values":[33],"summary":"Atlantic
+ Coastal Plain Fall-Line Sandhills Longleaf Pine Woodland - Loblolly Modifier"},{"values":[34],"summary":"Deciduous
+ Plantations"},{"values":[35],"summary":"East Gulf Coastal Plain Interior Upland
+ Longleaf Pine Woodland - Loblolly Modifier"},{"values":[36],"summary":"East
+ Gulf Coastal Plain Interior Upland Longleaf Pine Woodland - Offsite Hardwood
+ Modifier"},{"values":[37],"summary":"East Gulf Coastal Plain Near-Coast Pine
+ Flatwoods - Offsite Hardwood Modifier"},{"values":[38],"summary":"Evergreen
+ Plantation or Managed Pine"},{"values":[39],"summary":"California Central
+ Valley Mixed Oak Savanna"},{"values":[40],"summary":"California Coastal Closed-Cone
+ Conifer Forest and Woodland"},{"values":[41],"summary":"California Coastal
+ Live Oak Woodland and Savanna"},{"values":[42],"summary":"California Lower
+ Montane Blue Oak-Foothill Pine Woodland and Savanna"},{"values":[43],"summary":"Central
+ and Southern California Mixed Evergreen Woodland"},{"values":[44],"summary":"Mediterranean
+ California Lower Montane Black Oak-Conifer Forest and Woodland"},{"values":[45],"summary":"Southern
+ California Oak Woodland and Savanna"},{"values":[46],"summary":"Madrean Encinal"},{"values":[47],"summary":"Madrean
+ Pinyon-Juniper Woodland"},{"values":[48],"summary":"Madrean Pine-Oak Forest
+ and Woodland"},{"values":[49],"summary":"Madrean Upper Montane Conifer-Oak
+ Forest and Woodland"},{"values":[50],"summary":"Edwards Plateau Dry-Mesic
+ Slope Forest and Woodland"},{"values":[51],"summary":"Edwards Plateau Limestone
+ Savanna and Woodland"},{"values":[52],"summary":"Edwards Plateau Mesic Canyon"},{"values":[53],"summary":"Llano
+ Uplift Acidic Forest, Woodland and Glade"},{"values":[54],"summary":"East
+ Cascades Oak-Ponderosa Pine Forest and Woodland"},{"values":[55],"summary":"Mediterranean
+ California Mixed Evergreen Forest"},{"values":[56],"summary":"Mediterranean
+ California Mixed Oak Woodland"},{"values":[57],"summary":"North Pacific Dry
+ Douglas-fir-(Madrone) Forest and Woodland"},{"values":[58],"summary":"North
+ Pacific Oak Woodland"},{"values":[59],"summary":"Edwards Plateau Limestone
+ Shrubland"},{"values":[60],"summary":"Allegheny-Cumberland Dry Oak Forest
+ and Woodland - Hardwood"},{"values":[61],"summary":"Allegheny-Cumberland Dry
+ Oak Forest and Woodland - Pine Modifier"},{"values":[62],"summary":"Central
+ and Southern Appalachian Montane Oak Forest"},{"values":[63],"summary":"Central
+ and Southern Appalachian Northern Hardwood Forest"},{"values":[64],"summary":"Central
+ Appalachian Oak and Pine Forest"},{"values":[65],"summary":"Crosstimbers Oak
+ Forest and Woodland"},{"values":[66],"summary":"East Gulf Coastal Plain Black
+ Belt Calcareous Prairie and Woodland - Woodland Modifier"},{"values":[67],"summary":"East
+ Gulf Coastal Plain Northern Dry Upland Hardwood Forest"},{"values":[68],"summary":"East
+ Gulf Coastal Plain Northern Loess Plain Oak-Hickory Upland - Hardwood Modifier"},{"values":[69],"summary":"East
+ Gulf Coastal Plain Northern Loess Plain Oak-Hickory Upland - Juniper Modifier"},{"values":[70],"summary":"East-Central
+ Texas Plains Post Oak Savanna and Woodland"},{"values":[71],"summary":"Lower
+ Mississippi River Dune Woodland and Forest"},{"values":[72],"summary":"Mississippi
+ River Alluvial Plain Dry-Mesic Loess Slope Forest"},{"values":[73],"summary":"North-Central
+ Interior Dry Oak Forest and Woodland"},{"values":[74],"summary":"North-Central
+ Interior Dry-Mesic Oak Forest and Woodland"},{"values":[75],"summary":"Northeastern
+ Interior Dry Oak Forest - Mixed Modifier"},{"values":[76],"summary":"Northeastern
+ Interior Dry Oak Forest - Virginia/Pitch Pine Modifier"},{"values":[77],"summary":"Northeastern
+ Interior Dry Oak Forest-Hardwood Modifier"},{"values":[78],"summary":"Northeastern
+ Interior Dry-Mesic Oak Forest"},{"values":[79],"summary":"Northern Atlantic
+ Coastal Plain Dry Hardwood Forest"},{"values":[80],"summary":"Crowley''s Ridge
+ Sand Forest"},{"values":[81],"summary":"Ouachita Montane Oak Forest"},{"values":[82],"summary":"Ozark-Ouachita
+ Dry Oak Woodland"},{"values":[83],"summary":"Ozark-Ouachita Dry-Mesic Oak
+ Forest"},{"values":[84],"summary":"Southern and Central Appalachian Oak Forest"},{"values":[85],"summary":"Southern
+ and Central Appalachian Oak Forest - Xeric"},{"values":[86],"summary":"Southern
+ Interior Low Plateau Dry-Mesic Oak Forest"},{"values":[87],"summary":"Southern
+ Ridge and Valley Dry Calcareous Forest"},{"values":[88],"summary":"Southern
+ Ridge and Valley Dry Calcareous Forest - Pine modifier"},{"values":[89],"summary":"East
+ Gulf Coastal Plain Northern Dry Upland Hardwood Forest - Offsite Pine Modifier"},{"values":[90],"summary":"Managed
+ Tree Plantation"},{"values":[91],"summary":"Ruderal forest"},{"values":[92],"summary":"Southern
+ Piedmont Dry Oak-(Pine) Forest - Loblolly Pine Modifier"},{"values":[93],"summary":"Acadian
+ Low-Elevation Spruce-Fir-Hardwood Forest"},{"values":[94],"summary":"Acadian-Appalachian
+ Montane Spruce-Fir Forest"},{"values":[95],"summary":"Appalachian Hemlock-Hardwood
+ Forest"},{"values":[96],"summary":"Central and Southern Appalachian Spruce-Fir
+ Forest"},{"values":[97],"summary":"0"},{"values":[98],"summary":"Laurentian-Acadian
+ Northern Hardwoods Forest"},{"values":[99],"summary":"Laurentian-Acadian Northern
+ Pine-(Oak) Forest"},{"values":[100],"summary":"Laurentian-Acadian Pine-Hemlock-Hardwood
+ Forest"},{"values":[101],"summary":"Paleozoic Plateau Bluff and Talus"},{"values":[102],"summary":"Southern
+ Appalachian Northern Hardwood Forest"},{"values":[103],"summary":"Atlantic
+ Coastal Plain Dry and Dry-Mesic Oak Forest"},{"values":[104],"summary":"Atlantic
+ Coastal Plain Fall-line Sandhills Longleaf Pine Woodland - Offsite Hardwood"},{"values":[105],"summary":"East
+ Gulf Coastal Plain Interior Shortleaf Pine-Oak Forest - Hardwood Modifier"},{"values":[106],"summary":"East
+ Gulf Coastal Plain Interior Shortleaf Pine-Oak Forest - Mixed Modifier"},{"values":[107],"summary":"Ozark-Ouachita
+ Shortleaf Pine-Bluestem Woodland"},{"values":[108],"summary":"Ozark-Ouachita
+ Shortleaf Pine-Oak Forest and Woodland"},{"values":[109],"summary":"Southeastern
+ Interior Longleaf Pine Woodland"},{"values":[110],"summary":"Southern Appalachian
+ Low Mountain Pine Forest"},{"values":[111],"summary":"Southern Piedmont Dry
+ Oak-(Pine) Forest"},{"values":[112],"summary":"Southern Piedmont Dry Oak-(Pine)
+ Forest - Hardwood Modifier"},{"values":[113],"summary":"Southern Piedmont
+ Dry Oak-(Pine) Forest - Mixed Modifier"},{"values":[114],"summary":"Southern
+ Piedmont Dry Oak-Heath Forest - Mixed Modifier"},{"values":[115],"summary":"Eastern
+ Great Plains Tallgrass Aspen Parkland"},{"values":[116],"summary":"Northwestern
+ Great Plains Aspen Forest and Parkland"},{"values":[117],"summary":"Northwestern
+ Great Plains Shrubland"},{"values":[118],"summary":"Western Great Plains Dry
+ Bur Oak Forest and Woodland"},{"values":[119],"summary":"Western Great Plains
+ Wooded Draw and Ravine"},{"values":[120],"summary":"Southern Atlantic Coastal
+ Plain Mesic Hardwood Forest"},{"values":[121],"summary":"East Gulf Coastal
+ Plain Northern Loess Bluff Forest"},{"values":[122],"summary":"East Gulf Coastal
+ Plain Northern Mesic Hardwood Forest"},{"values":[123],"summary":"North-Central
+ Interior Beech-Maple Forest"},{"values":[124],"summary":"North-Central Interior
+ Maple-Basswood Forest"},{"values":[125],"summary":"Ozark-Ouachita Mesic Hardwood
+ Forest"},{"values":[126],"summary":"South-Central Interior Mesophytic Forest"},{"values":[127],"summary":"Southern
+ and Central Appalachian Cove Forest"},{"values":[128],"summary":"Crowley''s
+ Ridge Mesic Loess Slope Forest"},{"values":[129],"summary":"Southern Piedmont
+ Mesic Forest"},{"values":[130],"summary":"Appalachian Shale Barrens"},{"values":[131],"summary":"Atlantic
+ Coastal Plain Northern Maritime Forest"},{"values":[132],"summary":"Laurentian
+ Pine-Oak Barrens"},{"values":[133],"summary":"Northeastern Interior Pine Barrens"},{"values":[134],"summary":"Northern
+ Atlantic Coastal Plain Pitch Pine Barrens"},{"values":[135],"summary":"Southern
+ Appalachian Montane Pine Forest and Woodland"},{"values":[136],"summary":"East
+ Cascades Mesic Montane Mixed-Conifer Forest and Woodland"},{"values":[137],"summary":"Middle
+ Rocky Mountain Montane Douglas-fir Forest and Woodland"},{"values":[138],"summary":"Northern
+ Rocky Mountain Dry-Mesic Montane Mixed Conifer Forest"},{"values":[139],"summary":"Northern
+ Rocky Mountain Foothill Conifer Wooded Steppe"},{"values":[140],"summary":"Northern
+ Rocky Mountain Mesic Montane Mixed Conifer Forest"},{"values":[141],"summary":"Northern
+ Rocky Mountain Ponderosa Pine Woodland and Savanna"},{"values":[142],"summary":"Northern
+ Rocky Mountain Western Larch Savanna"},{"values":[143],"summary":"Northwestern
+ Great Plains - Black Hills Ponderosa Pine Woodland and Savanna"},{"values":[144],"summary":"Rocky
+ Mountain Foothill Limber Pine-Juniper Woodland"},{"values":[145],"summary":"Inter-Mountain
+ Basins Aspen-Mixed Conifer Forest and Woodland"},{"values":[146],"summary":"Inter-Mountain
+ Basins Subalpine Limber-Bristlecone Pine Woodland"},{"values":[147],"summary":"Northern
+ Rocky Mountain Subalpine Woodland and Parkland"},{"values":[148],"summary":"Rocky
+ Mountain Aspen Forest and Woodland"},{"values":[149],"summary":"Rocky Mountain
+ Lodgepole Pine Forest"},{"values":[150],"summary":"Rocky Mountain Poor-Site
+ Lodgepole Pine Forest"},{"values":[151],"summary":"Rocky Mountain Subalpine
+ Dry-Mesic Spruce-Fir Forest and Woodland"},{"values":[152],"summary":"Rocky
+ Mountain Subalpine Mesic Spruce-Fir Forest and Woodland"},{"values":[153],"summary":"Rocky
+ Mountain Subalpine-Montane Limber-Bristlecone Pine Woodland"},{"values":[154],"summary":"Rocky
+ Mountain Bigtooth Maple Ravine Woodland"},{"values":[155],"summary":"Southern
+ Rocky Mountain Dry-Mesic Montane Mixed Conifer Forest and Woodland"},{"values":[156],"summary":"Southern
+ Rocky Mountain Mesic Montane Mixed Conifer Forest and Woodland"},{"values":[157],"summary":"Southern
+ Rocky Mountain Ponderosa Pine Savanna"},{"values":[158],"summary":"Southern
+ Rocky Mountain Ponderosa Pine Woodland"},{"values":[159],"summary":"California
+ Montane Jeffrey Pine-(Ponderosa Pine) Woodland"},{"values":[160],"summary":"Klamath-Siskiyou
+ Lower Montane Serpentine Mixed Conifer Woodland"},{"values":[161],"summary":"Klamath-Siskiyou
+ Upper Montane Serpentine Mixed Conifer Woodland"},{"values":[162],"summary":"Mediterranean
+ California Dry-Mesic Mixed Conifer Forest and Woodland"},{"values":[163],"summary":"Mediterranean
+ California Mesic Mixed Conifer Forest and Woodland"},{"values":[164],"summary":"Sierran-Intermontane
+ Desert Western White Pine-White Fir Woodland"},{"values":[165],"summary":"California
+ Coastal Redwood Forest"},{"values":[166],"summary":"North Pacific Broadleaf
+ Landslide Forest and Shrubland"},{"values":[167],"summary":"North Pacific
+ Dry-Mesic Silver Fir-Western Hemlock-Douglas-fir Forest"},{"values":[168],"summary":"North
+ Pacific Hypermaritime Sitka Spruce Forest"},{"values":[169],"summary":"North
+ Pacific Hypermaritime Western Red-cedar-Western Hemlock Forest"},{"values":[170],"summary":"North
+ Pacific Lowland Mixed Hardwood-Conifer Forest and Woodland"},{"values":[171],"summary":"North
+ Pacific Maritime Dry-Mesic Douglas-fir-Western Hemlock Forest"},{"values":[172],"summary":"North
+ Pacific Maritime Mesic-Wet Douglas-fir-Western Hemlock Forest"},{"values":[173],"summary":"North
+ Pacific Mesic Western Hemlock-Silver Fir Forest"},{"values":[174],"summary":"North
+ Pacific Wooded Volcanic Flowage"},{"values":[175],"summary":"Mediterranean
+ California Red Fir Forest"},{"values":[176],"summary":"Mediterranean California
+ Subalpine Woodland"},{"values":[177],"summary":"North Pacific Maritime Mesic
+ Subalpine Parkland"},{"values":[178],"summary":"North Pacific Mountain Hemlock
+ Forest"},{"values":[179],"summary":"Northern California Mesic Subalpine Woodland"},{"values":[180],"summary":"Northern
+ Pacific Mesic Subalpine Woodland"},{"values":[181],"summary":"Sierra Nevada
+ Subalpine Lodgepole Pine Forest and Woodland"},{"values":[182],"summary":"Columbia
+ Plateau Western Juniper Woodland and Savanna"},{"values":[183],"summary":"Great
+ Basin Pinyon-Juniper Woodland"},{"values":[184],"summary":"Inter-Mountain
+ Basins Curl-leaf Mountain Mahogany Woodland and Shrubland"},{"values":[185],"summary":"Inter-Mountain
+ Basins Juniper Savanna"},{"values":[186],"summary":"Colorado Plateau Pinyon-Juniper
+ Shrubland"},{"values":[187],"summary":"Colorado Plateau Pinyon-Juniper Woodland"},{"values":[188],"summary":"Southern
+ Rocky Mountain Juniper Woodland and Savanna"},{"values":[189],"summary":"Southern
+ Rocky Mountain Pinyon-Juniper Woodland"},{"values":[190],"summary":"Northwestern
+ Great Plains Floodplain"},{"values":[191],"summary":"Northwestern Great Plains
+ Riparian"},{"values":[192],"summary":"Western Great Plains Floodplain"},{"values":[193],"summary":"Western
+ Great Plains Floodplain Systems"},{"values":[194],"summary":"Western Great
+ Plains Riparian Woodland and Shrubland"},{"values":[195],"summary":"Central
+ Appalachian Floodplain - Forest Modifier"},{"values":[196],"summary":"Central
+ Appalachian Riparian - Forest Modifier"},{"values":[197],"summary":"Central
+ Interior and Appalachian Floodplain Systems"},{"values":[198],"summary":"Central
+ Interior and Appalachian Riparian Systems"},{"values":[199],"summary":"Laurentian-Acadian
+ Floodplain Systems"},{"values":[200],"summary":"Ozark-Ouachita Riparian"},{"values":[201],"summary":"South-Central
+ Interior Large Floodplain"},{"values":[202],"summary":"South-Central Interior
+ Large Floodplain - Forest Modifier"},{"values":[203],"summary":"South-Central
+ Interior Small Stream and Riparian"},{"values":[204],"summary":"North-Central
+ Interior and Appalachian Rich Swamp"},{"values":[205],"summary":"0"},{"values":[206],"summary":"0"},{"values":[207],"summary":"Laurentian-Acadian
+ Swamp Systems"},{"values":[208],"summary":"North-Central Interior Wet Flatwoods"},{"values":[209],"summary":"0"},{"values":[210],"summary":"South-Central
+ Interior / Upper Coastal Plain Wet Flatwoods"},{"values":[211],"summary":"0"},{"values":[212],"summary":"Southern
+ Piedmont/Ridge and Valley Upland Depression Swamp"},{"values":[213],"summary":"Atlantic
+ Coastal Plain Blackwater Stream Floodplain Forest - Forest Modifier"},{"values":[214],"summary":"Atlantic
+ Coastal Plain Brownwater Stream Floodplain Forest"},{"values":[215],"summary":"Atlantic
+ Coastal Plain Northern Tidal Wooded Swamp"},{"values":[216],"summary":"Atlantic
+ Coastal Plain Small Blackwater River Floodplain Forest"},{"values":[217],"summary":"Atlantic
+ Coastal Plain Small Brownwater River Floodplain Forest"},{"values":[218],"summary":"Atlantic
+ Coastal Plain Southern Tidal Wooded Swamp"},{"values":[219],"summary":"East
+ Gulf Coastal Plain Large River Floodplain Forest - Forest Modifier"},{"values":[220],"summary":"East
+ Gulf Coastal Plain Small Stream and River Floodplain Forest"},{"values":[221],"summary":"East
+ Gulf Coastal Plain Tidal Wooded Swamp"},{"values":[222],"summary":"0"},{"values":[223],"summary":"Southeastern
+ Great Plains Riparian Forest"},{"values":[224],"summary":"Southeastern Great
+ Plains Floodplain Forest"},{"values":[225],"summary":"Mississippi River Bottomland
+ Depression"},{"values":[226],"summary":"Mississippi River Floodplain and Riparian
+ Forest"},{"values":[227],"summary":"Mississippi River Low Floodplain (Bottomland)
+ Forest"},{"values":[228],"summary":"Mississippi River Riparian Forest"},{"values":[229],"summary":"Red
+ River Large Floodplain Forest"},{"values":[230],"summary":"Southern Coastal
+ Plain Blackwater River Floodplain Forest"},{"values":[231],"summary":"Southern
+ Piedmont Large Floodplain Forest - Forest Modifier"},{"values":[232],"summary":"Southern
+ Piedmont Small Floodplain and Riparian Forest"},{"values":[233],"summary":"West
+ Gulf Coastal Plain Large River Floodplain Forest"},{"values":[234],"summary":"West
+ Gulf Coastal Plain Near-Coast Large River Swamp"},{"values":[235],"summary":"West
+ Gulf Coastal Plain Small Stream and River Forest"},{"values":[236],"summary":"Atlantic
+ Coastal Plain Streamhead Seepage Swamp - Pocosin - and Baygall"},{"values":[237],"summary":"Gulf
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+ Coastal Plain Hydric Hammock"},{"values":[239],"summary":"Southern Coastal
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+ Coastal Plain Nonriverine Swamp and Wet Hardwood Forest - Oak Dominated Modifier"},{"values":[243],"summary":"East
+ Gulf Coastal Plain Southern Loblolly-Hardwood Flatwoods"},{"values":[244],"summary":"Lower
+ Mississippi River Bottomland Depressions - Forest Modifier"},{"values":[245],"summary":"Lower
+ Mississippi River Flatwoods"},{"values":[246],"summary":"Northern Atlantic
+ Coastal Plain Basin Swamp and Wet Hardwood Forest"},{"values":[247],"summary":"Southern
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+ Coastal Plain Nonriverine Basin Swamp - Okefenokee Bay/Gum Modifier"},{"values":[249],"summary":"Southern
+ Coastal Plain Nonriverine Basin Swamp - Okefenokee Pine Modifier"},{"values":[250],"summary":"Southern
+ Coastal Plain Nonriverine Basin Swamp - Okefenokee Taxodium Modifier"},{"values":[251],"summary":"West
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+ Gulf Coastal Plain Pine-Hardwood Flatwoods"},{"values":[253],"summary":"Edwards
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+ Coastal Plain Southern Wet Pine Savanna and Flatwoods"},{"values":[257],"summary":"Central
+ Atlantic Coastal Plain Wet Longleaf Pine Savanna and Flatwoods"},{"values":[258],"summary":"Central
+ Florida Pine Flatwoods"},{"values":[259],"summary":"East Gulf Coastal Plain
+ Near-Coast Pine Flatwoods"},{"values":[260],"summary":"East Gulf Coastal Plain
+ Near-Coast Pine Flatwoods - Open Understory Modifier"},{"values":[261],"summary":"East
+ Gulf Coastal Plain Near-Coast Pine Flatwoods - Scrub/Shrub Understory Modifier"},{"values":[262],"summary":"South
+ Florida Pine Flatwoods"},{"values":[263],"summary":"Southern Coastal Plain
+ Nonriverine Cypress Dome"},{"values":[264],"summary":"West Gulf Coastal Plain
+ Wet Longleaf Pine Savanna and Flatwoods"},{"values":[265],"summary":"Columbia
+ Basin Foothill Riparian Woodland and Shrubland"},{"values":[266],"summary":"Great
+ Basin Foothill and Lower Montane Riparian Woodland and Shrubland"},{"values":[267],"summary":"0"},{"values":[268],"summary":"Northern
+ Rocky Mountain Conifer Swamp"},{"values":[269],"summary":"Northern Rocky Mountain
+ Lower Montane Riparian Woodland and Shrubland"},{"values":[270],"summary":"Rocky
+ Mountain Lower Montane Riparian Woodland and Shrubland"},{"values":[271],"summary":"Rocky
+ Mountain Montane Riparian Systems"},{"values":[272],"summary":"Rocky Mountain
+ Subalpine-Montane Riparian Woodland"},{"values":[273],"summary":"North Pacific
+ Hardwood-Conifer Swamp"},{"values":[274],"summary":"North Pacific Lowland
+ Riparian Forest and Shrubland"},{"values":[275],"summary":"North Pacific Montane
+ Riparian Woodland and Shrubland"},{"values":[276],"summary":"North Pacific
+ Shrub Swamp"},{"values":[277],"summary":"California Central Valley Riparian
+ Woodland and Shrubland"},{"values":[278],"summary":"Mediterranean California
+ Foothill and Lower Montane Riparian Woodland"},{"values":[279],"summary":"Mediterranean
+ California Serpentine Foothill and Lower Montane Riparian Woodland and Seep"},{"values":[280],"summary":"North
+ American Warm Desert Lower Montane Riparian Woodland and Shrubland"},{"values":[281],"summary":"North
+ American Warm Desert Riparian Systems"},{"values":[282],"summary":"North American
+ Warm Desert Riparian Woodland and Shrubland"},{"values":[283],"summary":"Tamaulipan
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+ Aspen-Birch Forest"},{"values":[286],"summary":"Boreal Jack Pine-Black Spruce
+ Forest"},{"values":[287],"summary":"Boreal White Spruce-Fir-Hardwood Forest"},{"values":[288],"summary":"Boreal-Laurentian
+ Conifer Acidic Swamp and Treed Poor Fen"},{"values":[289],"summary":"Eastern
+ Boreal Floodplain"},{"values":[290],"summary":"South Florida Shell Hash Beach"},{"values":[291],"summary":"Southeast
+ Florida Beach"},{"values":[292],"summary":"Southwest Florida Beach"},{"values":[293],"summary":"South
+ Florida Everglades Sawgrass Marsh"},{"values":[294],"summary":"South Florida
+ Freshwater Slough and Gator Hole"},{"values":[295],"summary":"South Florida
+ Wet Marl Prairie"},{"values":[296],"summary":"California Maritime Chaparral"},{"values":[297],"summary":"California
+ Mesic Chaparral"},{"values":[298],"summary":"California Xeric Serpentine Chaparral"},{"values":[299],"summary":"Klamath-Siskiyou
+ Xeromorphic Serpentine Savanna and Chaparral"},{"values":[300],"summary":"Mediterranean
+ California Mesic Serpentine Woodland and Chaparral"},{"values":[301],"summary":"Northern
+ and Central California Dry-Mesic Chaparral"},{"values":[302],"summary":"Southern
+ California Dry-Mesic Chaparral"},{"values":[303],"summary":"Southern California
+ Coastal Scrub"},{"values":[304],"summary":"California Central Valley and Southern
+ Coastal Grassland"},{"values":[305],"summary":"California Mesic Serpentine
+ Grassland"},{"values":[306],"summary":"Columbia Basin Foothill and Canyon
+ Dry Grassland"},{"values":[307],"summary":"Columbia Basin Palouse Prairie"},{"values":[308],"summary":"North
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+ Pacific Montane Grassland"},{"values":[310],"summary":"North Pacific Montane
+ Shrubland"},{"values":[311],"summary":"Northern Rocky Mountain Lower Montane,
+ Foothill and Valley Grassland"},{"values":[312],"summary":"Northern Rocky
+ Mountain Montane-Foothill Deciduous Shrubland"},{"values":[313],"summary":"Northern
+ Rocky Mountain Subalpine Deciduous Shrubland"},{"values":[314],"summary":"Northern
+ Rocky Mountain Subalpine-Upper Montane Grassland"},{"values":[315],"summary":"Southern
+ Rocky Mountain Montane-Subalpine Grassland"},{"values":[316],"summary":"Rocky
+ Mountain Gambel Oak-Mixed Montane Shrubland"},{"values":[317],"summary":"Rocky
+ Mountain Lower Montane-Foothill Shrubland"},{"values":[318],"summary":"California
+ Northern Coastal Grassland"},{"values":[319],"summary":"North Pacific Herbaceous
+ Bald and Bluff"},{"values":[320],"summary":"North Pacific Hypermaritime Shrub
+ and Herbaceous Headland"},{"values":[321],"summary":"Willamette Valley Upland
+ Prairie and Savanna"},{"values":[322],"summary":"Mediterranean California
+ Subalpine Meadow"},{"values":[323],"summary":"Rocky Mountain Subalpine-Montane
+ Mesic Meadow"},{"values":[324],"summary":"Central Mixedgrass Prairie"},{"values":[325],"summary":"Northwestern
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+ Plains Sand Prairie"},{"values":[329],"summary":"Western Great Plains Sandhill
+ Steppe"},{"values":[330],"summary":"Western Great Plains Mesquite Woodland
+ and Shrubland"},{"values":[331],"summary":"Western Great Plains Shortgrass
+ Prairie"},{"values":[332],"summary":"Arkansas Valley Prairie and Woodland"},{"values":[333],"summary":"Central
+ Tallgrass Prairie"},{"values":[334],"summary":"North-Central Interior Oak
+ Savanna"},{"values":[335],"summary":"North-Central Interior Sand and Gravel
+ Tallgrass Prairie"},{"values":[336],"summary":"North-Central Oak Barrens"},{"values":[337],"summary":"Northern
+ Tallgrass Prairie"},{"values":[338],"summary":"Southeastern Great Plains Tallgrass
+ Prairie"},{"values":[339],"summary":"Texas Blackland Tallgrass Prairie"},{"values":[340],"summary":"Texas-Louisiana
+ Coastal Prairie"},{"values":[341],"summary":"Central Appalachian Pine-Oak
+ Rocky Woodland"},{"values":[342],"summary":"Southern Appalachian Grass and
+ Shrub Bald"},{"values":[343],"summary":"Southern Appalachian Grass and Shrub
+ Bald - Herbaceous Modifier"},{"values":[344],"summary":"Southern Appalachian
+ Grass and Shrub Bald - Shrub Modifier"},{"values":[345],"summary":"Central
+ Appalachian Alkaline Glade and Woodland"},{"values":[346],"summary":"Central
+ Interior Highlands Calcareous Glade and Barrens"},{"values":[347],"summary":"Central
+ Interior Highlands Dry Acidic Glade and Barrens"},{"values":[348],"summary":"Cumberland
+ Sandstone Glade and Barrens"},{"values":[349],"summary":"Great Lakes Alvar"},{"values":[350],"summary":"Nashville
+ Basin Limestone Glade"},{"values":[351],"summary":"Southern Ridge and Valley
+ / Cumberland Dry Calcareous Forest"},{"values":[352],"summary":"Southern Piedmont
+ Glade and Barrens"},{"values":[353],"summary":"East Gulf Coastal Plain Black
+ Belt Calcareous Prairie and Woodland - Herbaceous Modifier"},{"values":[354],"summary":"East
+ Gulf Coastal Plain Jackson Prairie and Woodland"},{"values":[355],"summary":"Eastern
+ Highland Rim Prairie and Barrens - Dry Modifier"},{"values":[356],"summary":"Coahuilan
+ Chaparral"},{"values":[357],"summary":"Madrean Oriental Chaparral"},{"values":[358],"summary":"Mogollon
+ Chaparral"},{"values":[359],"summary":"Sonora-Mojave Semi-Desert Chaparral"},{"values":[360],"summary":"California
+ Montane Woodland and Chaparral"},{"values":[361],"summary":"Great Basin Semi-Desert
+ Chaparral"},{"values":[362],"summary":"Florida Dry Prairie"},{"values":[363],"summary":"Florida
+ Peninsula Inland Scrub"},{"values":[364],"summary":"West Gulf Coastal Plain
+ Catahoula Barrens"},{"values":[365],"summary":"West Gulf Coastal Plain Nepheline
+ Syenite Glade"},{"values":[366],"summary":"East Gulf Coastal Plain Jackson
+ Plain Dry Flatwoods - Open Understory Modifier"},{"values":[367],"summary":"West
+ Gulf Coastal Plain Northern Calcareous Prairie"},{"values":[368],"summary":"West
+ Gulf Coastal Plain Southern Calcareous Prairie"},{"values":[369],"summary":"Acadian-Appalachian
+ Subalpine Woodland and Heath-Krummholz"},{"values":[370],"summary":"Atlantic
+ and Gulf Coastal Plain Interdunal Wetland"},{"values":[371],"summary":"Atlantic
+ Coastal Plain Southern Dune and Maritime Grassland"},{"values":[372],"summary":"Central
+ and Upper Texas Coast Dune and Coastal Grassland"},{"values":[373],"summary":"East
+ Gulf Coastal Plain Dune and Coastal Grassland"},{"values":[374],"summary":"Great
+ Lakes Dune"},{"values":[375],"summary":"Northern Atlantic Coastal Plain Dune
+ and Swale"},{"values":[376],"summary":"Northern Atlantic Coastal Plain Heathland
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+ Dune and Coastal Grassland"},{"values":[380],"summary":"North Pacific Coastal
+ Cliff and Bluff"},{"values":[381],"summary":"North Pacific Maritime Coastal
+ Sand Dune and Strand"},{"values":[382],"summary":"Northern California Coastal
+ Scrub"},{"values":[383],"summary":"Mediterranean California Coastal Bluff"},{"values":[384],"summary":"Mediterranean
+ California Northern Coastal Dune"},{"values":[385],"summary":"Mediterranean
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+ Beach"},{"values":[391],"summary":"Northern Atlantic Coastal Plain Sandy Beach"},{"values":[392],"summary":"Texas
+ Coastal Bend Beach"},{"values":[393],"summary":"Upper Texas Coast Beach"},{"values":[394],"summary":"0"},{"values":[395],"summary":"Mediterranean
+ California Serpentine Fen"},{"values":[396],"summary":"Mediterranean California
+ Subalpine-Montane Fen"},{"values":[397],"summary":"North Pacific Bog and Fen"},{"values":[398],"summary":"Rocky
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+ Tidal Marsh"},{"values":[402],"summary":"Atlantic Coastal Plain Embayed Region
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+ Northern Fresh and Oligohaline Tidal Marsh"},{"values":[404],"summary":"Florida
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+ Coastal Plain Depression Pondshore"},{"values":[406],"summary":"Atlantic Coastal
+ Plain Large Natural Lakeshore"},{"values":[407],"summary":"Central Florida
+ Herbaceous Pondshore"},{"values":[408],"summary":"Central Florida Herbaceous
+ Seep"},{"values":[409],"summary":"East Gulf Coastal Plain Savanna and Wet
+ Prairie"},{"values":[410],"summary":"East Gulf Coastal Plain Depression Pondshore"},{"values":[411],"summary":"Floridian
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+ Coastal Marsh Systems"},{"values":[418],"summary":"0"},{"values":[419],"summary":"0"},{"values":[420],"summary":"Laurentian-Acadian
+ Shrub-Herbaceous Wetland Systems"},{"values":[421],"summary":"0"},{"values":[422],"summary":"Eastern
+ Great Plains Wet Meadow, Prairie and Marsh"},{"values":[423],"summary":"Great
+ Lakes Wet-Mesic Lakeplain Prairie"},{"values":[424],"summary":"Great Plains
+ Prairie Pothole"},{"values":[425],"summary":"Western Great Plains Closed Depression
+ Wetland"},{"values":[426],"summary":"Western Great Plains Depressional Wetland
+ Systems"},{"values":[427],"summary":"Western Great Plains Open Freshwater
+ Depression Wetland"},{"values":[428],"summary":"Cumberland Riverscour"},{"values":[429],"summary":"Inter-Mountain
+ Basins Interdunal Swale Wetland"},{"values":[430],"summary":"North Pacific
+ Avalanche Chute Shrubland"},{"values":[431],"summary":"North Pacific Intertidal
+ Freshwater Wetland"},{"values":[432],"summary":"Temperate Pacific Freshwater
+ Emergent Marsh"},{"values":[433],"summary":"Temperate Pacific Freshwater Mudflat"},{"values":[434],"summary":"Columbia
+ Plateau Vernal Pool"},{"values":[435],"summary":"Northern California Claypan
+ Vernal Pool"},{"values":[436],"summary":"Northern Rocky Mountain Wooded Vernal
+ Pool"},{"values":[437],"summary":"Columbia Plateau Silver Sagebrush Seasonally
+ Flooded Shrub-Steppe"},{"values":[438],"summary":"Rocky Mountain Alpine-Montane
+ Wet Meadow"},{"values":[439],"summary":"Rocky Mountain Subalpine-Montane Riparian
+ Shrubland"},{"values":[440],"summary":"Temperate Pacific Montane Wet Meadow"},{"values":[441],"summary":"Willamette
+ Valley Wet Prairie"},{"values":[442],"summary":"Chihuahuan-Sonoran Desert
+ Bottomland and Swale Grassland"},{"values":[443],"summary":"North American
+ Arid West Emergent Marsh"},{"values":[444],"summary":"North American Warm
+ Desert Riparian Mesquite Bosque"},{"values":[445],"summary":"Western Great
+ Plains Saline Depression Wetland"},{"values":[446],"summary":"Acadian Salt
+ Marsh and Estuary Systems"},{"values":[447],"summary":"Atlantic Coastal Plain
+ Central Salt and Brackish Tidal Marsh"},{"values":[448],"summary":"Atlantic
+ Coastal Plain Embayed Region Tidal Salt and Brackish Marsh"},{"values":[449],"summary":"Atlantic
+ Coastal Plain Indian River Lagoon Tidal Marsh"},{"values":[450],"summary":"Atlantic
+ Coastal Plain Northern Tidal Salt Marsh"},{"values":[451],"summary":"Florida
+ Big Bend Salt-Brackish Tidal Marsh"},{"values":[452],"summary":"Gulf and Atlantic
+ Coastal Plain Tidal Marsh Systems"},{"values":[453],"summary":"Mississippi
+ Sound Salt and Brackish Tidal Marsh"},{"values":[454],"summary":"Texas Saline
+ Coastal Prairie"},{"values":[455],"summary":"Temperate Pacific Tidal Salt
+ and Brackish Marsh"},{"values":[456],"summary":"Inter-Mountain Basins Alkaline
+ Closed Depression"},{"values":[457],"summary":"Inter-Mountain Basins Greasewood
+ Flat"},{"values":[458],"summary":"Inter-Mountain Basins Playa"},{"values":[459],"summary":"North
+ American Warm Desert Playa"},{"values":[460],"summary":"Apacherian-Chihuahuan
+ Mesquite Upland Scrub"},{"values":[461],"summary":"Apacherian-Chihuahuan Semi-Desert
+ Grassland and Steppe"},{"values":[462],"summary":"Chihuahuan Creosotebush,
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+ Grassland and Steppe"},{"values":[464],"summary":"Chihuahuan Loamy Plains
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+ Thorn Scrub"},{"values":[466],"summary":"Chihuahuan Sandy Plains Semi-Desert
+ Grassland"},{"values":[467],"summary":"Chihuahuan Stabilized Coppice Dune
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+ Cacti Desert Scrub"},{"values":[475],"summary":"Chihuahuan Mixed Salt Desert
+ Scrub"},{"values":[476],"summary":"Sonora-Mojave Mixed Salt Desert Scrub"},{"values":[477],"summary":"North
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+ Thornscrub"},{"values":[483],"summary":"Tamaulipan Savanna Grassland"},{"values":[484],"summary":"Inter-Mountain
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+ Basins Big Sagebrush Steppe"},{"values":[491],"summary":"Inter-Mountain Basins
+ Montane Sagebrush Steppe"},{"values":[492],"summary":"Colorado Plateau Mixed
+ Low Sagebrush Shrubland"},{"values":[493],"summary":"Columbia Plateau Low
+ Sagebrush Steppe"},{"values":[494],"summary":"Columbia Plateau Scabland Shrubland"},{"values":[495],"summary":"Wyoming
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+ Semi-Desert Shrub Steppe"},{"values":[499],"summary":"Southern Colorado Plateau
+ Sand Shrubland"},{"values":[500],"summary":"Acadian-Appalachian Alpine Tundra"},{"values":[501],"summary":"Rocky
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+ Alpine Fell-Field"},{"values":[503],"summary":"Rocky Mountain Alpine Turf"},{"values":[504],"summary":"Mediterranean
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+ Alpine Fell-Field"},{"values":[506],"summary":"North Pacific Dry and Mesic
+ Alpine Dwarf-Shrubland, Fell-field and Meadow"},{"values":[507],"summary":"Rocky
+ Mountain Alpine Tundra/Fell-field/Dwarf-shrub Map Unit"},{"values":[508],"summary":"Temperate
+ Pacific Intertidal Mudflat"},{"values":[509],"summary":"Mediterranean California
+ Eelgrass Bed"},{"values":[510],"summary":"North Pacific Maritime Eelgrass
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+ Herbaceous Modifier"},{"values":[512],"summary":"East Gulf Coastal Plain Large
+ River Floodplain Forest - Herbaceous Modifier"},{"values":[513],"summary":"Temperate
+ Pacific Freshwater Aquatic Bed"},{"values":[514],"summary":"Central California
+ Coast Ranges Cliff and Canyon"},{"values":[515],"summary":"Mediterranean California
+ Serpentine Barrens"},{"values":[516],"summary":"Southern California Coast
+ Ranges Cliff and Canyon"},{"values":[517],"summary":"Central Interior Acidic
+ Cliff and Talus"},{"values":[518],"summary":"Central Interior Calcareous Cliff
+ and Talus"},{"values":[519],"summary":"East Gulf Coastal Plain Dry Chalk Bluff"},{"values":[520],"summary":"North-Central
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+ Appalachian Circumneutral Cliff and Talus"},{"values":[522],"summary":"Southern
+ Appalachian Montane Cliff"},{"values":[523],"summary":"Southern Interior Acid
+ Cliff"},{"values":[524],"summary":"Southern Interior Calcareous Cliff"},{"values":[525],"summary":"Southern
+ Piedmont Cliff"},{"values":[526],"summary":"Southern Appalachian Granitic
+ Dome"},{"values":[527],"summary":"Southern Appalachian Rocky Summit"},{"values":[528],"summary":"Southern
+ Piedmont Granite Flatrock"},{"values":[529],"summary":"Rocky Mountain Cliff,
+ Canyon and Massive Bedrock"},{"values":[530],"summary":"Klamath-Siskiyou Cliff
+ and Outcrop"},{"values":[531],"summary":"North Pacific Montane Massive Bedrock,
+ Cliff and Talus"},{"values":[532],"summary":"North Pacific Serpentine Barren"},{"values":[533],"summary":"North
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+ specimen-related data from natural history museums, observations from citizen
+ science networks, and automated environmental surveys. While these data are
+ constantly changing at [GBIF.org](https://www.gbif.org), periodic snapshots
+ are taken and made available here. \n\nData are stored in [Parquet](https://parquet.apache.org/)
+ format; the Parquet file schema is described below. Most field names correspond
+ to [terms from the Darwin Core standard](https://dwc.tdwg.org/terms/), and
+ have been interpreted by GBIF''s systems to align taxonomy, location, dates,
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+ refer to the GBIF [citation guidelines](https://www.gbif.org/citation-guidelines)
+ for information about how to cite GBIF data in publications.. For analyses
+ using the whole dataset, please use the following citation:\n\n> GBIF.org
+ ([Date]) GBIF Occurrence Data [DOI of dataset]\n\nFor analyses where data
+ are significantly filtered, please track the datasetKeys used and use a \"[derived
+ dataset](https://www.gbif.org/citation-guidelines#derivedDatasets)\" record
+ for citing the data.\n\nThe [GBIF data blog](https://data-blog.gbif.org/categories/gbif/)
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+ UUID for the [dataset](https://www.gbif.org/developer/registry#datasets) containing
+ this occurrence"},{"name":"occurrenceid","type":"byte_array","description":"See
+ [dwc:occurrenceID](https://dwc.tdwg.org/terms/#occurrenceID)."},{"name":"kingdom","type":"byte_array","description":"See
+ [dwc:kingdom](https://dwc.tdwg.org/terms/#kingdom). This field has been aligned
+ with the [GBIF backbone taxonomy](https://doi.org/10.15468/39omei)."},{"name":"phylum","type":"byte_array","description":"See
+ [dwc:phylum](https://dwc.tdwg.org/terms/#phylum). This field has been aligned
+ with the GBIF backbone taxonomy."},{"name":"class","type":"byte_array","description":"See
+ [dwc:class](https://dwc.tdwg.org/terms/#class). This field has been aligned
+ with the GBIF backbone taxonomy."},{"name":"order","type":"byte_array","description":"See
+ [dwc:order](https://dwc.tdwg.org/terms/#order). This field has been aligned
+ with the GBIF backbone taxonomy."},{"name":"family","type":"byte_array","description":"See
+ [dwc:family](https://dwc.tdwg.org/terms/#family). This field has been aligned
+ with the GBIF backbone taxonomy."},{"name":"genus","type":"byte_array","description":"See
+ [dwc:genus](https://dwc.tdwg.org/terms/#genus). This field has been aligned
+ with the GBIF backbone taxonomy."},{"name":"species","type":"byte_array","description":"See
+ [dwc:species](https://dwc.tdwg.org/terms/#species). This field has been aligned
+ with the GBIF backbone taxonomy."},{"name":"infraspecificepithet","type":"byte_array","description":"See
+ [dwc:infraspecificEpithet](https://dwc.tdwg.org/terms/#infraspecificEpithet). This
+ field has been aligned with the GBIF backbone taxonomy."},{"name":"taxonrank","type":"byte_array","description":"See
+ [dwc:taxonRank](https://dwc.tdwg.org/terms/#taxonRank). This field has been
+ aligned with the GBIF backbone taxonomy."},{"name":"scientificname","type":"byte_array","description":"See
+ [dwc:scientificName](https://dwc.tdwg.org/terms/#scientificName). This field
+ has been aligned with the GBIF backbone taxonomy."},{"name":"verbatimscientificname","type":"byte_array","description":"The
+ scientific name as provided by the data publisher"},{"name":"verbatimscientificnameauthorship","type":"byte_array","description":"The
+ scientific name authorship provided by the data publisher."},{"name":"countrycode","type":"byte_array","description":"See
+ [dwc:countryCode](https://dwc.tdwg.org/terms/#countryCode). GBIF''s interpretation
+ has set this to an ISO 3166-2 code."},{"name":"locality","type":"byte_array","description":"See
+ [dwc:locality](https://dwc.tdwg.org/terms/#locality)."},{"name":"stateprovince","type":"byte_array","description":"See
+ [dwc:stateProvince](https://dwc.tdwg.org/terms/#stateProvince)."},{"name":"occurrencestatus","type":"byte_array","description":"See
+ [dwc:occurrenceStatus](https://dwc.tdwg.org/terms/#occurrenceStatus). Either
+ the value `PRESENT` or `ABSENT`. **Many users will wish to filter for `PRESENT`
+ data.**"},{"name":"individualcount","type":"int32","description":"See [dwc:individualCount](https://dwc.tdwg.org/terms/#individualCount)."},{"name":"publishingorgkey","type":"byte_array","description":"GBIF''s
+ UUID for the [organization](https://www.gbif.org/developer/registry#organizations)
+ publishing this occurrence."},{"name":"decimallatitude","type":"double","description":"See
+ [dwc:decimalLatitude](https://dwc.tdwg.org/terms/#decimalLatitude). GBIF''s
+ interpretation has normalized this to a WGS84 coordinate."},{"name":"decimallongitude","type":"double","description":"See
+ [dwc:decimalLongitude](https://dwc.tdwg.org/terms/#decimalLongitude). GBIF''s
+ interpretation has normalized this to a WGS84 coordinate."},{"name":"coordinateuncertaintyinmeters","type":"double","description":"See
+ [dwc:coordinateUncertaintyInMeters](https://dwc.tdwg.org/terms/#coordinateUncertaintyInMeters)."},{"name":"coordinateprecision","type":"double","description":"See
+ [dwc:coordinatePrecision](https://dwc.tdwg.org/terms/#coordinatePrecision)."},{"name":"elevation","type":"double","description":"See
+ [dwc:elevation](https://dwc.tdwg.org/terms/#elevation). If provided by the
+ data publisher, GBIF''s interpretation has normalized this value to metres."},{"name":"elevationaccuracy","type":"double","description":"See
+ [dwc:elevationAccuracy](https://dwc.tdwg.org/terms/#elevationAccuracy). If
+ provided by the data publisher, GBIF''s interpretation has normalized this
+ value to metres."},{"name":"depth","type":"double","description":"See [dwc:depth](https://dwc.tdwg.org/terms/#depth). If
+ provided by the data publisher, GBIF''s interpretation has normalized this
+ value to metres."},{"name":"depthaccuracy","type":"double","description":"See
+ [dwc:depthAccuracy](https://dwc.tdwg.org/terms/#depthAccuracy). If provided
+ by the data publisher, GBIF''s interpretation has normalized this value to
+ metres."},{"name":"eventdate","type":"byte_array","description":"See [dwc:eventDate](https://dwc.tdwg.org/terms/#eventDate). GBIF''s
+ interpretation has normalized this value to an ISO 8601 date with a local
+ time."},{"name":"day","type":"int32","description":"See [dwc:day](https://dwc.tdwg.org/terms/#day)."},{"name":"month","type":"int32","description":"See
+ [dwc:month](https://dwc.tdwg.org/terms/#month)."},{"name":"year","type":"int32","description":"See
+ [dwc:year](https://dwc.tdwg.org/terms/#year)."},{"name":"taxonkey","type":"int32","description":"The
+ numeric identifier for the [taxon](https://www.gbif.org/developer/species#nameUsages)
+ in GBIF''s backbone taxonomy corresponding to `scientificname`."},{"name":"specieskey","type":"int32","description":"The
+ numeric identifier for the taxon in GBIF''s backbone taxonomy corresponding
+ to `species`."},{"name":"basisofrecord","type":"byte_array","description":"See
+ [dwc:basisOfRecord](https://dwc.tdwg.org/terms/#basisOfRecord). One of `PRESERVED_SPECIMEN`,
+ `FOSSIL_SPECIMEN`, `LIVING_SPECIMEN`, `OBSERVATION`, `HUMAN_OBSERVATION`,
+ `MACHINE_OBSERVATION`, `MATERIAL_SAMPLE`, `LITERATURE`, `UNKNOWN`."},{"name":"institutioncode","type":"byte_array","description":"See
+ [dwc:institutionCode](https://dwc.tdwg.org/terms/#institutionCode)."},{"name":"collectioncode","type":"byte_array","description":"See
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+ Act. ","msft:item_name":"cb_2020_02_anrc_500k"},{"name":"Tribal Block Groups
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+ non-contiguous areas.","msft:item_name":"cb_2020_us_ttract_500k"},{"name":"Census
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+ clusters of blocks within the same census tract that share the same first
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+ or equivalent entity. Tract population size is generally between 1,200 and
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+ or Minor Civil Division are included in a consolidated government but still
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+ fields from the ECMWF model only.\\n * `oper`: [high-resolution forecast](https://confluence.ecmwf.int/display/FUG/HRES+-+High-Resolution+Forecast),
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+ atmospheric fields (also known as \\\"high-frequency products\\\")\\n * `scwv`:
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+ products\\\") and\\n * `waef`: [ensemble forecast](https://confluence.ecmwf.int/display/FUG/ENS+-+Ensemble+Forecasts),
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+ The values are available in the `ecmwf:type` summary of the STAC collection.
+ They are:\\n * `fc`: forecast\\n * `ef`: ensemble forecast\\n * `pf`: ensemble
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+ User Guide](https://confluence.ecmwf.int/display/UDOC/ECMWF+Open+Data+-+Real+Time)
+ for more details on each of the various products.\\n\\nAssets are available
+ for the previous 30 days.\\n\\n## Asset overview\\n\\nThe data are provided
+ as [GRIB2 files](https://confluence.ecmwf.int/display/CKB/What+are+GRIB+files+and+how+can+I+read+them).\\nAdditionally,
+ [index files](https://confluence.ecmwf.int/display/UDOC/ECMWF+Open+Data+-+Real+Time#ECMWFOpenDataRealTime-IndexFilesIndexfiles)
+ are provided, which can be used to read subsets of the data from Azure Blob
+ Storage.\\n\\nWithin each `stream`, `forecast type`, `reference time`, the
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+ data variables, coordinates (aside from `time` as the *reference time* changes
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+ and `waef-ep` products, which have more `step`s in the 240-hour forecast than
+ in the 360-hour forecast. \\n\\nSee the example notebook for more on how to
+ access the data.\\n\\n## STAC metadata\\n\\nThe Planetary Computer provides
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+ every item has the same\\n`bbox` and `geometry`.\\n\\nA few custom properties
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+ example `\\\"3h\\\"` means \\\"3 hours from the reference datetime\\\". \\n*
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+ when the forecast *was made*, rather than when it's valid for.\\n* `ecmwf:forecast_datetime`:
+ The datetime for which the forecast is valid. This is also set as the item's
+ `datetime`.\\n\\nSee the example notebook for more on how to use the STAC
+ metadata to query for particular data.\\n\\n## Attribution\\n\\nThe products
+ listed and described on this page are available to the public and their use
+ is governed by the [Creative Commons CC-4.0-BY license and the ECMWF Terms
+ of Use](https://apps.ecmwf.int/datasets/licences/general/). This means that
+ the data may be redistributed and used commercially, subject to appropriate
+ attribution.\\n\\nThe following wording should be attached to the use of this
+ ECMWF dataset: \\n\\n1. Copyright statement: Copyright \\\"\xA9 [year] European
+ Centre for Medium-Range Weather Forecasts (ECMWF)\\\".\\n2. Source [www.ecmwf.int](http://www.ecmwf.int/)\\n3.
+ License Statement: This data is published under a Creative Commons Attribution
+ 4.0 International (CC BY 4.0). [https://creativecommons.org/licenses/by/4.0/](https://creativecommons.org/licenses/by/4.0/)\\n4.
+ Disclaimer: ECMWF does not accept any liability whatsoever for any error or
+ omission in the data, their availability, or for any loss or damage arising
+ from their use.\\n5. Where applicable, an indication if the material has been
+ modified and an indication of previous modifications.\\n\\nThe following wording
+ shall be attached to services created with this ECMWF dataset:\\n\\n1. Copyright
+ statement: Copyright \\\"This service is based on data and products of the
+ European Centre for Medium-Range Weather Forecasts (ECMWF)\\\".\\n2. Source
+ www.ecmwf.int\\n3. License Statement: This ECMWF data is published under a
+ Creative Commons Attribution 4.0 International (CC BY 4.0). [https://creativecommons.org/licenses/by/4.0/](https://creativecommons.org/licenses/by/4.0/)\\n4.
+ Disclaimer: ECMWF does not accept any liability whatsoever for any error or
+ omission in the data, their availability, or for any loss or damage arising
+ from their use.\\n5. Where applicable, an indication if the material has been
+ modified and an indication of previous modifications\\n\\n## More information\\n\\nFor
+ more, see the [ECMWF's User Guide](https://confluence.ecmwf.int/display/UDOC/ECMWF+Open+Data+-+Real+Time)
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+ collection is a global radiometrically terrain corrected dataset derived from
+ Sentinel-1 GRD. Additionally, users can terrain-correct on the fly using [any
+ DEM available on the Planetary Computer](https://planetarycomputer.microsoft.com/catalog?tags=DEM).
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+ products are automatically generated through integration of data from multiple
+ radars and radar networks, surface and satellite observations, numerical weather
+ prediction (NWP) models, and climatology. The products are updated hourly
+ at the top of the hour.\n\nMRMS QPE is available as a \"Pass 1\" or \"Pass
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+ minutes, but includes 99% of gauges. The Pass 1 and Pass 2 products are broken
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+ Collection contains the **1-Hour Pass 2** sub-product, i.e., 1-hour cumulative
+ precipitation accumulation with a 2-hour latency. The data are available in
+ [Cloud Optimized GeoTIFF](https://www.cogeo.org/) format as well as the original
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+ grids for the Continental United States (CONUS). \n\nNClimGrid data is available
+ in monthly and daily temporal intervals, with the daily data further differentiated
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+ within approximately three days of collection. Once a calendar month of preliminary
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+ that:\n>\"On an annual basis, approximately one year of ''final'' NClimGrid
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+ the same time period. Users should be sure to ascertain which level of data
+ is required for their research.\"\n\nThe source NetCDF files are delivered
+ to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\n\n*Note*:
+ The Planetary Computer currently has STAC metadata for just the monthly collection.
+ We''ll have STAC metadata for daily data in our next release. In the meantime,
+ you can access the daily NetCDF data directly from Blob Storage using the
+ storage container at `https://nclimgridwesteurope.blob.core.windows.net/nclimgrid`.
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+ J., Williams, Claude N. Jr., Fenimore, Chris, Gleason, Karin, and Arndt, Derek
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+ N., Jr., Fenimore, C., Gleason, K., & Arndt, D. (2014). Improved Historical
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+ Service (NASS) with the mission \"to provide timely, accurate and useful statistics
+ in service to U.S. agriculture\" (Johnson and Mueller, 2010, p. 1204). The
+ CDL is a crop-specific land cover classification product of more than 100
+ crop categories grown in the United States. CDLs are derived using a supervised
+ land cover classification of satellite imagery. The supervised classification
+ relies on first manually identifying pixels within certain images, often called
+ training sites, which represent the same crop or land cover type. Using these
+ training sites, a spectral signature is developed for each crop type that
+ is then used by the analysis software to identify all other pixels in the
+ satellite image representing the same crop. Using this method, a new CDL is
+ compiled annually and released to the public a few months after the end of
+ the growing season.\n\nThis collection includes Cropland, Confidence, Cultivated,
+ and Frequency products.\n\n- Cropland: Crop-specific land cover data created
+ annually. There are currently four individual crop frequency data layers that
+ represent four major crops: corn, cotton, soybeans, and wheat.\n- Confidence:
+ The predicted confidence associated with an output pixel. A value of zero
+ indicates low confidence, while a value of 100 indicates high confidence.\n-
+ Cultivated: cultivated and non-cultivated land cover for CONUS based on land
+ cover information derived from the 2017 through 2021 Cropland products.\n-
+ Frequency: crop specific planting frequency based on land cover information
+ derived from the 2008 through 2021 Cropland products.\n\nFor more, visit the
+ [Cropland Data Layer homepage](https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php).","item_assets":{"corn":{"type":"image/tiff;
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+ resources\\n\\nData are stored in [Parquet](https://parquet.apache.org/) files
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+ License and attribution\\nPlease cite: Daepp, Cabral, Ranganathan et al. (2022)
+ [Eclipse: An End-to-End Platform for Low-Cost, Hyperlocal Environmental Sensing
+ in Cities. ACM/IEEE Information Processing in Sensor Networks. Milan, Italy.](https://www.microsoft.com/en-us/research/uploads/prod/2022/05/ACM_2022-IPSN_FINAL_Eclipse.pdf)\\n\\n##
+ Contact\\n\\nFor questions about this dataset, contact [`msrurbanops@microsoft.com`](mailto:msrurbanops@microsoft.com?subject=eclipse%20question)
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+ data in this Collection are the original NetCDF files accessed from the [Copernicus
+ Climate Data Store](https://cds.climate.copernicus.eu/#!/home). We recommend
+ users use the [`esa-cci-lc` Collection](planetarycomputer.microsoft.com/dataset/esa-cci-lc),
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+ Trust Islands","Pennsylvania","Puerto Rico and Virgin Islands","Rhode Island","South
+ Carolina","South Dakota","Tennessee","Texas","Utah","Vermont","Virginia","Washington","West
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+ Wetlands Inventory (NWI) and its collaborators and currently contains more
+ than 35 million wetland and deepwater features. This dataset, covering the
+ conterminous United States, Hawaii, Puerto Rico, the Virgin Islands, Guam,
+ the major Northern Mariana Islands and Alaska, continues to grow at a rate
+ of 50 to 100 million acres annually as data are updated.\n\n**NOTE:** Due
+ to the variation in use and analysis of this data by the end user, each state''s
+ wetlands data extends beyond the state boundary. Each state includes wetlands
+ data that intersect the 1:24,000 quadrangles that contain part of that state
+ (1:2,000,000 source data). This allows the user to clip the data to their
+ specific analysis datasets. Beware that two adjacent states will contain some
+ of the same data along their borders.\n\nFor more information, visit the National
+ Wetlands Inventory [homepage](https://www.fws.gov/program/national-wetlands-inventory).\n\n##
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+ has its own assets unique to its wetlands. In general, each item will have
+ several assets, each linking to a [geoparquet](https://github.com/opengeospatial/geoparquet)
+ asset with data for the entire region or a sub-region within that state. Use
+ the `cloud-optimized` [role](https://github.com/radiantearth/stac-spec/blob/master/item-spec/item-spec.md#asset-roles)
+ to select just the geoparquet assets. See the Example Notebook for more.","item_assets":{"zip":{"type":"application/zip","roles":["data","archive","source"]}},"stac_version":"1.0.0","msft:container":"fws-nwi","stac_extensions":["https://stac-extensions.github.io/item-assets/v1.0.0/schema.json"],"msft:storage_account":"ai4edataeuwest","msft:short_description":"Vector
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+ [Land Change Monitoring, Assessment, and Projection](https://www.usgs.gov/special-topics/lcmap)
+ (LCMAP) product provides land cover mapping and change monitoring from the
+ U.S. Geological Survey''s [Earth Resources Observation and Science](https://www.usgs.gov/centers/eros)
+ (EROS) Center. LCMAP''s Science Products are developed by applying time-series
+ modeling on a per-pixel basis to [Landsat Analysis Ready Data](https://www.usgs.gov/landsat-missions/landsat-us-analysis-ready-data)
+ (ARD) using an implementation of the [Continuous Change Detection and Classification](https://doi.org/10.1016/j.rse.2014.01.011)
+ (CCDC) algorithm. All available clear (non-cloudy) U.S. Landsat ARD observations
+ are fit to a harmonic model to predict future Landsat-like surface reflectance.
+ Where Landsat surface reflectance observations differ significantly from those
+ predictions, a change is identified. Attributes of the resulting model sequences
+ (e.g., start/end dates, residuals, model coefficients) are then used to produce
+ a set of land surface change products and as inputs to the subsequent classification
+ to thematic land cover. \n\nThis [STAC](https://stacspec.org/en) Collection
+ contains [LCMAP CONUS Collection 1.3](https://www.usgs.gov/special-topics/lcmap/collection-13-conus-science-products),
+ which was released in August 2022 for years 1985-2021. The data are tiled
+ according to the Landsat ARD tile grid and consist of [Cloud Optimized GeoTIFFs](https://www.cogeo.org/)
+ (COGs) and corresponding metadata files. Note that the provided COGs differ
+ slightly from those in the USGS source data. They have been reprocessed to
+ add overviews, \"nodata\" values where appropriate, and an updated projection
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+ available to establish a new stable time series model following a break near
+ the end of the time series prior to July 1st of the current year. Primary
+ Land Cover assigned the last identified primary land cover class from earlier
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+ year. Secondary Land Cover assigned the last identified secondary cover class
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+ two stable time series models of the same secondary land cover class. Secondary
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+ land cover classes. If July 1st is before the ''break date'' of the earlier
+ model, Secondary Land Cover is assigned the secondary land cover class of
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+ land cover class of the subsequent model."},{"values":[213],"summary":"Insufficient
+ data available to establish a stable time series model at the beginning of
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+ A.L., Zelenak, D., Reker, R.R., and Rover, J., 2020, Lessons learned implementing
+ an operational continuous United States national land change monitoring capability-The
+ Land Change Monitoring, Assessment, and Projection (LCMAP) approach: Remote
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+ (EROS) Center. LCMAP''s Science Products are developed by applying time-series
+ modeling on a per-pixel basis to [Landsat Analysis Ready Data](https://www.usgs.gov/landsat-missions/landsat-us-analysis-ready-data)
+ (ARD) using an implementation of the [Continuous Change Detection and Classification](https://doi.org/10.1016/j.rse.2014.01.011)
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+ (e.g., start/end dates, residuals, model coefficients) are then used to produce
+ a set of land surface change products and as inputs to the subsequent classification
+ to thematic land cover. \n\nThis [STAC](https://stacspec.org/en) Collection
+ contains [LCMAP Hawaii Collection 1.0](https://www.usgs.gov/special-topics/lcmap/collection-1-hawaii-science-products),
+ which was released in January 2022 for years 2000-2020. The data are tiled
+ according to the Landsat ARD tile grid and consist of [Cloud Optimized GeoTIFFs](https://www.cogeo.org/)
+ (COGs) and corresponding metadata files. Note that the provided COGs differ
+ slightly from those in the USGS source data. They have been reprocessed to
+ add overviews, \"nodata\" values where appropriate, and an updated projection
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+ Stability Period","description":"Measure of the amount of time in days that
+ a pixel has been in its current spectral state as of July 1st. Current spectral
+ state can refer to both during stable time series segments or a period outside
+ of stable time series segments.","raster:bands":[{"sampling":"area","data_type":"uint16","spatial_resolution":30}]},"sctime":{"type":"image/tiff;
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+ application=geotiff; profile=cloud-optimized","roles":["data"],"title":"Primary
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+ the end of the time series prior to July 1st of the current year. Primary
+ Land Cover assigned the last identified primary land cover class from earlier
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+ series model identified as transition from a Grass/Shrub class to a Tree Cover
+ class in Primary Land Cover. Primary Land Cover class assignment based on
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+ data available to extend most recent time series model past July 1st of current
+ year. Secondary Land Cover assigned the last identified secondary cover class
+ from earlier year."},{"values":[211],"summary":"July 1st falls in a gap between
+ two stable time series models of the same secondary land cover class. Secondary
+ Land Cover assigned the land cover class of those before/after models."},{"values":[212],"summary":"July
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+ land cover classes. If July 1st is before the ''break date'' of the earlier
+ model, Secondary Land Cover is assigned the secondary land cover class of
+ the earlier model. Otherwise, Secondary Land Cover is assigned the secondary
+ land cover class of the subsequent model."},{"values":[213],"summary":"Insufficient
+ data available to establish a stable time series model at the beginning of
+ the time series prior to July 1st of the current year. Secondary Land Cover
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+ product metadata"}},"sci:citation":"U.S. Geological Survey (USGS), 2022, Land
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+ Journal of Applied Earth Observation and Geoinformation, v. 113, article 103015."},{"doi":"10.1016/j.rse.2019.111356","citation":"Brown,
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+ A.L., Zelenak, D., Reker, R.R., and Rover, J., 2020, Lessons learned implementing
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+ Land Change Monitoring, Assessment, and Projection (LCMAP) approach: Remote
+ Sensing of Environment, v. 238, article 111356"}],"msft:storage_account":"landcoverdata","msft:short_description":"USGS
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+ temperature, precipitation, and other climatological variables for each weather
+ station. \\n\\nNOAA produces Climate Normals in accordance with the [World
+ Meteorological Organization](https://public.wmo.int/en) (WMO), of which the
+ United States is a member. The WMO requires each member nation to compute
+ 30-year meteorological quantity averages at least every 30 years, and recommends
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+ Owen, 2012: NOAA's 1981-2010 climate normals: An overview. Bull. Amer. Meteor.
+ Soc., 93, 1687-1697. DOI: 10.1175/BAMS-D-11-00197.1.\"},{\"doi\":\"10.1175/BAMS-D-11-00173.1\",\"citation\":\"Applequist,
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+ computed from simple averages of the NClimGrid data and are provided for three
+ time-periods: 1901\u20132020, 1991\u20132020, and 2006\u20132020. Daily gridded
+ normals are smoothed for a smooth transition from one day to another and are
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+ produces Climate Normals in accordance with the [World Meteorological Organization](https://public.wmo.int/en)
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+ The NetCDF files are delivered to Azure as part of the [NOAA Open Data Dissemination
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+ activity continuously over the Americas and adjacent ocean regions with near-uniform
+ spatial resolution of approximately 10 km. GLM collects information such as
+ the frequency, location and extent of lightning discharges to identify intensifying
+ thunderstorms and tropical cyclones. Trends in total lightning available from
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+ events, groups, and flashes, and the area coverage of lightning groups and
+ flashes. The product also includes processing and data quality metadata, and
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+ [NOAA Gridded United States Climate Normals](https://www.ncei.noaa.gov/products/land-based-station/us-climate-normals#tab-1027)
+ provide a continuous grid of temperature and precipitation data across the
+ contiguous United States (CONUS). The grids are derived from NOAA's [NClimGrid
+ dataset](https://planetarycomputer.microsoft.com/dataset/group/noaa-nclimgrid),
+ and resolutions (nominal 5x5 kilometer) and spatial extents (CONUS) therefore
+ match that of NClimGrid. Monthly, seasonal, and annual gridded normals are
+ computed from simple averages of the NClimGrid data and are provided for three
+ time-periods: 1901\u20132020, 1991\u20132020, and 2006\u20132020. Daily gridded
+ normals are smoothed for a smooth transition from one day to another and are
+ provided for two time-periods: 1991\u20132020, and 2006\u20132020.\\n\\nNOAA
+ produces Climate Normals in accordance with the [World Meteorological Organization](https://public.wmo.int/en)
+ (WMO), of which the United States is a member. The WMO requires each member
+ nation to compute 30-year meteorological quantity averages at least every
+ 30 years, and recommends an update each decade, in part to incorporate newer
+ weather stations. The 1991\u20132020 U.S. Climate Normals are the latest in
+ a series of decadal normals first produced in the 1950s. \\n\\nThis Collection
+ contains gridded data for the following frequencies and time periods:\\n\\n-
+ Annual, seasonal, and monthly normals\\n - 100-year (1901\u20132000)\\n
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+ normals\\n - 30-year (1991\u20132020)\\n - 15-year (2006\u20132020)\\n\\nThe
+ data in this Collection have been converted from the original NetCDF format
+ to Cloud Optimized GeoTIFFs (COGs). The source NetCDF files are delivered
+ to Azure as part of the [NOAA Open Data Dissemination (NODD) Program](https://www.noaa.gov/information-technology/open-data-dissemination).\\n\\n##
+ STAC Metadata\\n\\nThe STAC items in this collection contain several custom
+ fields that can be used to further filter the data.\\n\\n* `noaa_climate_normals:period`:
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+ or \\\"2006-2020\\\".\\n* `noaa_climate_normals:frequency`: Climate normal
+ temporal interval (frequency). This can be \\\"daily\\\", \\\"monthly\\\",
+ \\\"seasonal\\\" , or \\\"annual\\\"\\n* `noaa_climate_normals:time_index`:
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+ time period |\\n| tmin | Minimum temperature over the time period
+ |\\n\\nAnd an \\\"aggregation\\\":\\n\\n| Abbreviation | Description
+ \ |\\n| ------------ | ------------------------------------------------------------------------------
+ |\\n| max | Maximum of the variable over the time period |\\n|
+ min | Minimum of the variable over the time period |\\n|
+ std | Standard deviation of the value over the time period |\\n|
+ flag | An count of the number of inputs (months, years, etc.) to calculate
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+ World Climate Research Programme's [6th Coupled Model Intercomparison Project
+ (CMIP6)](https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6) represents an
+ enormous advance in the quality, detail, and scope of climate modeling.\\n\\nThe
+ [Global Downscaled Projections for Climate Impacts Research](https://github.com/ClimateImpactLab/downscaleCMIP6)
+ dataset makes this modeling more applicable to understanding the impacts of
+ changes in the climate on humans and society with two key developments: trend-preserving
+ bias correction and downscaling. In this dataset, the [Climate Impact Lab](https://impactlab.org)
+ provides global, daily minimum and maximum air temperature at the surface
+ (`tasmin` and `tasmax`) and daily cumulative surface precipitation (`pr`)
+ corresponding to the CMIP6 historical, ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5
+ scenarios for 25 global climate models on a 1/4-degree regular global grid.\\n\\n##
+ Accessing the data\\n\\nGDPCIR data can be accessed on the Microsoft Planetary
+ Computer. The dataset is made of of three collections, distinguished by data
+ license:\\n* [Public domain (CC0-1.0) collection](https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc0)\\n*
+ [Attribution (CC BY 4.0) collection](https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by)\\n*
+ [Attribution-ShareAlike (CC BY SA 4.0) collection](https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by-sa)\\n\\nEach
+ modeling center with bias corrected and downscaled data in this collection
+ falls into one of these license categories - see the [table below](/dataset/cil-gdpcir-cc-by-sa#available-institutions-models-and-scenarios-by-license-collection)
+ to see which model is in each collection, and see the section below on [Citing,
+ Licensing, and using data produced by this project](/dataset/cil-gdpcir-cc-by-sa#citing-licensing-and-using-data-produced-by-this-project)
+ for citations and additional information about each license.\\n\\n## Data
+ format & contents\\n\\nThe data is stored as partitioned zarr stores (see
+ [https://zarr.readthedocs.io](https://zarr.readthedocs.io)), each of which
+ includes thousands of data and metadata files covering the full time span
+ of the experiment. Historical zarr stores contain just over 50 GB, while SSP
+ zarr stores contain nearly 70GB. Each store is stored as a 32-bit float, with
+ dimensions time (daily datetime), lat (float latitude), and lon (float longitude).
+ The data is chunked at each interval of 365 days and 90 degree interval of
+ latitude and longitude. Therefore, each chunk is `(365, 360, 360)`, with each
+ chunk occupying approximately 179MB in memory.\\n\\nHistorical data is daily,
+ excluding leap days, from Jan 1, 1950 to Dec 31, 2014; SSP data is daily,
+ excluding leap days, from Jan 1, 2015 to either Dec 31, 2099 or Dec 31, 2100,
+ depending on data availability in the source GCM.\\n\\nThe spatial domain
+ covers all 0.25-degree grid cells, indexed by the grid center, with grid edges
+ on the quarter-degree, using a -180 to 180 longitude convention. Thus, the
+ \u201Clon\u201D coordinate extends from -179.875 to 179.875, and the \u201Clat\u201D
+ coordinate extends from -89.875 to 89.875, with intermediate values at each
+ 0.25-degree increment between (e.g. -179.875, -179.625, -179.375, etc).\\n\\n##
+ Available institutions, models, and scenarios by license collection\\n\\n|
+ Modeling institution | Source model | Available experiments
+ \ | License collection |\\n| -------------------- | -----------------
+ | ------------------------------------------ | ---------------------- |\\n|
+ CAS | FGOALS-g3 [^1] | SSP2-4.5, SSP3-7.0, and SSP5-8.5
+ \ | Public domain datasets |\\n| INM | INM-CM4-8
+ \ | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | Public domain datasets
+ |\\n| INM | INM-CM5-0 | SSP1-2.6, SSP2-4.5, SSP3-7.0,
+ and SSP5-8.5 | Public domain datasets |\\n| BCC | BCC-CSM2-MR
+ \ | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40] |\\n|
+ CMCC | CMCC-CM2-SR5 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5
+ \ | CC-BY-40] |\\n| CMCC | CMCC-ESM2 |
+ ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-40] |\\n|
+ CSIRO-ARCCSS | ACCESS-CM2 | SSP2-4.5 and SSP3-7.0 |
+ CC-BY-40] |\\n| CSIRO | ACCESS-ESM1-5 | SSP1-2.6,
+ SSP2-4.5, and SSP3-7.0 | CC-BY-40] |\\n| MIROC |
+ MIROC-ES2L | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40]
+ \ |\\n| MIROC | MIROC6 | SSP1-2.6, SSP2-4.5,
+ SSP3-7.0, and SSP5-8.5 | CC-BY-40] |\\n| MOHC |
+ HadGEM3-GC31-LL | SSP1-2.6, SSP2-4.5, and SSP5-8.5 | CC-BY-40]
+ \ |\\n| MOHC | UKESM1-0-LL | SSP1-2.6, SSP2-4.5,
+ SSP3-7.0, and SSP5-8.5 | CC-BY-40] |\\n| MPI-M |
+ MPI-ESM1-2-LR | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40]
+ \ |\\n| MPI-M/DKRZ [^2] | MPI-ESM1-2-HR | SSP1-2.6 and
+ SSP5-8.5 | CC-BY-40] |\\n| NCC |
+ NorESM2-LM | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40]
+ \ |\\n| NCC | NorESM2-MM | SSP1-2.6, SSP2-4.5,
+ SSP3-7.0, and SSP5-8.5 | CC-BY-40] |\\n| NOAA-GFDL |
+ GFDL-CM4 | SSP2-4.5 and SSP5-8.5 | CC-BY-40]
+ \ |\\n| NOAA-GFDL | GFDL-ESM4 | SSP1-2.6, SSP2-4.5,
+ SSP3-7.0, and SSP5-8.5 | CC-BY-40] |\\n| NUIST |
+ NESM3 | SSP1-2.6, SSP2-4.5, and SSP5-8.5 | CC-BY-40]
+ \ |\\n| EC-Earth-Consortium | EC-Earth3 | ssp1-2.6, ssp2-4.5,
+ ssp3-7.0, and ssp5-8.5 | CC-BY-40] |\\n| EC-Earth-Consortium
+ \ | EC-Earth3-AerChem | ssp370 | CC-BY-40]
+ \ |\\n| EC-Earth-Consortium | EC-Earth3-CC | ssp245 and
+ ssp585 | CC-BY-40] |\\n| EC-Earth-Consortium
+ \ | EC-Earth3-Veg | ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40]
+ \ |\\n| EC-Earth-Consortium | EC-Earth3-Veg-LR | ssp1-2.6, ssp2-4.5,
+ ssp3-7.0, and ssp5-8.5 | CC-BY-40] |\\n| CCCma |
+ CanESM5 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-SA-40]
+ \ |\\n\\n*Notes:*\\n\\n[^1]: At the time of running, no ssp1-2.6
+ precipitation data was available. Therefore, we provide `tasmin` and `tamax`
+ for this model and experiment, but not `pr`. All other model/experiment combinations
+ in the above table include all three variables.\\n\\n[^2]: The institution
+ which ran MPI-ESM1-2-HR\u2019s historical (CMIP) simulations is `MPI-M`, while
+ the future (ScenarioMIP) simulations were run by `DKRZ`. Therefore, the institution
+ component of `MPI-ESM1-2-HR` filepaths differ between `historical` and `SSP`
+ scenarios.\\n\\n## Project methods\\n\\nThis project makes use of statistical
+ bias correction and downscaling algorithms, which are specifically designed
+ to accurately represent changes in the extremes. For this reason, we selected
+ Quantile Delta Mapping (QDM), following the method introduced by [Cannon et
+ al. (2015)](https://doi.org/10.1175/JCLI-D-14-00754.1), which preserves quantile-specific
+ trends from the GCM while fitting the full distribution for a given day-of-year
+ to a reference dataset (ERA5).\\n\\nWe then introduce a similar method tailored
+ to increase spatial resolution while preserving extreme behavior, Quantile-Preserving
+ Localized-Analog Downscaling (QPLAD).\\n\\nTogether, these methods provide
+ a robust means to handle both the central and tail behavior seen in climate
+ model output, while aligning the full distribution to a state-of-the-art reanalysis
+ dataset and providing the spatial granularity needed to study surface impacts.\\n\\nFor
+ further documentation, see [Global downscaled projections for climate impacts
+ research (GDPCIR): preserving extremes for modeling future climate impacts](https://egusphere.copernicus.org/preprints/2023/egusphere-2022-1513/)
+ (EGUsphere, 2022 [preprint]).\\n\\n## Citing, licensing, and using data produced
+ by this project\\n\\nProjects making use of the data produced as part of the
+ Climate Impact Lab Global Downscaled Projections for Climate Impacts Research
+ (CIL GDPCIR) project are requested to cite both this project and the source
+ datasets from which these results are derived. Additionally, the use of data
+ derived from some GCMs *requires* citations, and some modeling centers impose
+ licensing restrictions & requirements on derived works. See each GCM's license
+ info in the links below for more information.\\n\\n### CIL GDPCIR\\n\\nUsers
+ are requested to cite this project in derived works. Our method documentation
+ paper may be cited using the following:\\n\\n> Gergel, D. R., Malevich, S.
+ B., McCusker, K. E., Tenezakis, E., Delgado, M. T., Fish, M. A., and Kopp,
+ R. E.: Global downscaled projections for climate impacts research (GDPCIR):
+ preserving extremes for modeling future climate impacts, EGUsphere [preprint],
+ https://doi.org/10.5194/egusphere-2022-1513, 2023. \\n\\nThe code repository
+ may be cited using the following:\\n\\n> Diana Gergel, Kelly McCusker, Brewster
+ Malevich, Emile Tenezakis, Meredith Fish, Michael Delgado (2022). ClimateImpactLab/downscaleCMIP6:
+ (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.6403794\\n\\n### ERA5\\n\\nAdditionally,
+ we request you cite the historical dataset used in bias correction and downscaling,
+ ERA5. See the [ECMWF guide to citing a dataset on the Climate Data Store](https://confluence.ecmwf.int/display/CKB/How+to+acknowledge+and+cite+a+Climate+Data+Store+%28CDS%29+catalogue+entry+and+the+data+published+as+part+of+it):\\n\\n>
+ Hersbach, H, et al. The ERA5 global reanalysis. Q J R Meteorol Soc.2020; 146:
+ 1999\u20132049. DOI: [10.1002/qj.3803](https://doi.org/10.1002/qj.3803)\\n>\\n>
+ Mu\xF1oz Sabater, J., (2019): ERA5-Land hourly data from 1981 to present.
+ Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed
+ on June 4, 2021), DOI: [10.24381/cds.e2161bac](https://doi.org/10.24381/cds.e2161bac)\\n>\\n>
+ Mu\xF1oz Sabater, J., (2021): ERA5-Land hourly data from 1950 to 1980. Copernicus
+ Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on June 4,
+ 2021), DOI: [10.24381/cds.e2161bac](https://doi.org/10.24381/cds.e2161bac)\\n\\n###
+ GCM-specific citations & licenses\\n\\nThe CMIP6 simulation data made available
+ through the Earth System Grid Federation (ESGF) are subject to Creative Commons
+ [BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) or [BY-NC-SA
+ 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) licenses. The Climate
+ Impact Lab has reached out to each of the modeling institutions to request
+ waivers from these terms so the outputs of this project may be used with fewer
+ restrictions, and has been granted permission to release the data using the
+ licenses listed here.\\n\\n#### Public Domain Datasets\\n\\nThe following
+ bias corrected and downscaled model simulations are available in the public
+ domain using a [CC0 1.0 Universal Public Domain Declaration](https://creativecommons.org/publicdomain/zero/1.0/).
+ Access the collection on Planetary Computer at https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc0.\\n\\n*
+ **FGOALS-g3**\\n\\n License description: [data_licenses/FGOALS-g3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/FGOALS-g3.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Li, Lijuan **(2019)**. *CAS FGOALS-g3 model output
+ prepared for CMIP6 CMIP*. Version 20190826. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.1783\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Li, Lijuan **(2019)**. *CAS FGOALS-g3 model output prepared for CMIP6
+ ScenarioMIP*. SSP1-2.6 version 20190818; SSP2-4.5 version 20190818; SSP3-7.0
+ version 20190820; SSP5-8.5 tasmax version 20190819; SSP5-8.5 tasmin version
+ 20190819; SSP5-8.5 pr version 20190818. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2056\\n\\n\\n*
+ **INM-CM4-8**\\n\\n License description: [data_licenses/INM-CM4-8.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/INM-CM4-8.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey;
+ Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin,
+ Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**.
+ *INM INM-CM4-8 model output prepared for CMIP6 CMIP*. Version 20190530. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1422\\n\\n ScenarioMIP
+ Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov,
+ Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey;
+ Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM4-8
+ model output prepared for CMIP6 ScenarioMIP*. Version 20190603. Earth System
+ Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.12321\\n\\n\\n* **INM-CM5-0**\\n\\n
+ \ License description: [data_licenses/INM-CM5-0.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/INM-CM5-0.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey;
+ Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin,
+ Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**.
+ *INM INM-CM5-0 model output prepared for CMIP6 CMIP*. Version 20190610. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1423\\n\\n ScenarioMIP
+ Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov,
+ Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey;
+ Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM5-0
+ model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190619; SSP2-4.5
+ version 20190619; SSP3-7.0 version 20190618; SSP5-8.5 version 20190724. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.12322\\n\\n\\n####
+ CC-BY-4.0\\n\\nThe following bias corrected and downscaled model simulations
+ are licensed under a [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).
+ Note that this license requires citation of the source model output (included
+ here). Please see https://creativecommons.org/licenses/by/4.0/ for more information.
+ Access the collection on Planetary Computer at https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by.\\n\\n*
+ **ACCESS-CM2**\\n\\n License description: [data_licenses/ACCESS-CM2.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/ACCESS-CM2.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Dix, Martin; Bi, Doahua; Dobrohotoff, Peter; Fiedler,
+ Russell; Harman, Ian; Law, Rachel; Mackallah, Chloe; Marsland, Simon; O'Farrell,
+ Siobhan; Rashid, Harun; Srbinovsky, Jhan; Sullivan, Arnold; Trenham, Claire;
+ Vohralik, Peter; Watterson, Ian; Williams, Gareth; Woodhouse, Matthew; Bodman,
+ Roger; Dias, Fabio Boeira; Domingues, Catia; Hannah, Nicholas; Heerdegen,
+ Aidan; Savita, Abhishek; Wales, Scott; Allen, Chris; Druken, Kelsey; Evans,
+ Ben; Richards, Clare; Ridzwan, Syazwan Mohamed; Roberts, Dale; Smillie, Jon;
+ Snow, Kate; Ward, Marshall; Yang, Rui **(2019)**. *CSIRO-ARCCSS ACCESS-CM2
+ model output prepared for CMIP6 CMIP*. Version 20191108. Earth System Grid
+ Federation. https://doi.org/10.22033/ESGF/CMIP6.2281\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Dix, Martin; Bi, Doahua; Dobrohotoff, Peter; Fiedler, Russell; Harman,
+ Ian; Law, Rachel; Mackallah, Chloe; Marsland, Simon; O'Farrell, Siobhan; Rashid,
+ Harun; Srbinovsky, Jhan; Sullivan, Arnold; Trenham, Claire; Vohralik, Peter;
+ Watterson, Ian; Williams, Gareth; Woodhouse, Matthew; Bodman, Roger; Dias,
+ Fabio Boeira; Domingues, Catia; Hannah, Nicholas; Heerdegen, Aidan; Savita,
+ Abhishek; Wales, Scott; Allen, Chris; Druken, Kelsey; Evans, Ben; Richards,
+ Clare; Ridzwan, Syazwan Mohamed; Roberts, Dale; Smillie, Jon; Snow, Kate;
+ Ward, Marshall; Yang, Rui **(2019)**. *CSIRO-ARCCSS ACCESS-CM2 model output
+ prepared for CMIP6 ScenarioMIP*. Version 20191108. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.2285\\n\\n\\n* **ACCESS-ESM1-5**\\n\\n
+ \ License description: [data_licenses/ACCESS-ESM1-5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/ACCESS-ESM1-5.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Ziehn, Tilo; Chamberlain, Matthew; Lenton, Andrew;
+ Law, Rachel; Bodman, Roger; Dix, Martin; Wang, Yingping; Dobrohotoff, Peter;
+ Srbinovsky, Jhan; Stevens, Lauren; Vohralik, Peter; Mackallah, Chloe; Sullivan,
+ Arnold; O'Farrell, Siobhan; Druken, Kelsey **(2019)**. *CSIRO ACCESS-ESM1.5
+ model output prepared for CMIP6 CMIP*. Version 20191115. Earth System Grid
+ Federation. https://doi.org/10.22033/ESGF/CMIP6.2288\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Ziehn, Tilo; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Bodman,
+ Roger; Dix, Martin; Wang, Yingping; Dobrohotoff, Peter; Srbinovsky, Jhan;
+ Stevens, Lauren; Vohralik, Peter; Mackallah, Chloe; Sullivan, Arnold; O'Farrell,
+ Siobhan; Druken, Kelsey **(2019)**. *CSIRO ACCESS-ESM1.5 model output prepared
+ for CMIP6 ScenarioMIP*. Version 20191115. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2291\\n\\n\\n*
+ **BCC-CSM2-MR**\\n\\n License description: [data_licenses/BCC-CSM2-MR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/BCC-CSM2-MR.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Xin, Xiaoge; Zhang, Jie; Zhang, Fang; Wu, Tongwen;
+ Shi, Xueli; Li, Jianglong; Chu, Min; Liu, Qianxia; Yan, Jinghui; Ma, Qiang;
+ Wei, Min **(2018)**. *BCC BCC-CSM2MR model output prepared for CMIP6 CMIP*.
+ Version 20181126. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1725\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > Xin, Xiaoge; Wu, Tongwen; Shi, Xueli; Zhang,
+ Fang; Li, Jianglong; Chu, Min; Liu, Qianxia; Yan, Jinghui; Ma, Qiang; Wei,
+ Min **(2019)**. *BCC BCC-CSM2MR model output prepared for CMIP6 ScenarioMIP*.
+ SSP1-2.6 version 20190315; SSP2-4.5 version 20190318; SSP3-7.0 version 20190318;
+ SSP5-8.5 version 20190318. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1732\\n\\n\\n*
+ **CMCC-CM2-SR5**\\n\\n License description: [data_licenses/CMCC-CM2-SR5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CMCC-CM2-SR5.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele **(2020)**. *CMCC
+ CMCC-CM2-SR5 model output prepared for CMIP6 CMIP*. Version 20200616. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1362\\n\\n ScenarioMIP
+ Citation:\\n\\n > Lovato, Tomas; Peano, Daniele **(2020)**. *CMCC CMCC-CM2-SR5
+ model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20200717; SSP2-4.5
+ version 20200617; SSP3-7.0 version 20200622; SSP5-8.5 version 20200622. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1365\\n\\n\\n*
+ **CMCC-ESM2**\\n\\n License description: [data_licenses/CMCC-ESM2.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CMCC-ESM2.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele; Butensch\xF6n, Momme
+ **(2021)**. *CMCC CMCC-ESM2 model output prepared for CMIP6 CMIP*. Version
+ 20210114. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.13164\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele; Butensch\xF6n,
+ Momme **(2021)**. *CMCC CMCC-ESM2 model output prepared for CMIP6 ScenarioMIP*.
+ SSP1-2.6 version 20210126; SSP2-4.5 version 20210129; SSP3-7.0 version 20210202;
+ SSP5-8.5 version 20210126. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.13168\\n\\n\\n*
+ **EC-Earth3-AerChem**\\n\\n License description: [data_licenses/EC-Earth3-AerChem.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-AerChem.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium
+ EC-Earth3-AerChem model output prepared for CMIP6 CMIP*. Version 20200624.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.639\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**.
+ *EC-Earth-Consortium EC-Earth3-AerChem model output prepared for CMIP6 ScenarioMIP*.
+ Version 20200827. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.724\\n\\n\\n*
+ **EC-Earth3-CC**\\n\\n License description: [data_licenses/EC-Earth3-CC.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-CC.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium
+ EC-Earth-3-CC model output prepared for CMIP6 CMIP*. Version 20210113. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.640\\n\\n ScenarioMIP
+ Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2021)**. *EC-Earth-Consortium
+ EC-Earth3-CC model output prepared for CMIP6 ScenarioMIP*. Version 20210113.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.15327\\n\\n\\n*
+ **EC-Earth3-Veg-LR**\\n\\n License description: [data_licenses/EC-Earth3-Veg-LR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-Veg-LR.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium
+ EC-Earth3-Veg-LR model output prepared for CMIP6 CMIP*. Version 20200217.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.643\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**.
+ *EC-Earth-Consortium EC-Earth3-Veg-LR model output prepared for CMIP6 ScenarioMIP*.
+ SSP1-2.6 version 20201201; SSP2-4.5 version 20201123; SSP3-7.0 version 20201123;
+ SSP5-8.5 version 20201201. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.728\\n\\n\\n*
+ **EC-Earth3-Veg**\\n\\n License description: [data_licenses/EC-Earth3-Veg.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-Veg.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium
+ EC-Earth3-Veg model output prepared for CMIP6 CMIP*. Version 20200225. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.642\\n\\n ScenarioMIP
+ Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium
+ EC-Earth3-Veg model output prepared for CMIP6 ScenarioMIP*. Version 20200225.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.727\\n\\n\\n*
+ **EC-Earth3**\\n\\n License description: [data_licenses/EC-Earth3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium
+ EC-Earth3 model output prepared for CMIP6 CMIP*. Version 20200310. Earth System
+ Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.181\\n\\n ScenarioMIP
+ Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium
+ EC-Earth3 model output prepared for CMIP6 ScenarioMIP*. Version 20200310.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.251\\n\\n\\n*
+ **GFDL-CM4**\\n\\n License description: [data_licenses/GFDL-CM4.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/GFDL-CM4.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Guo, Huan; John, Jasmin G; Blanton, Chris; McHugh,
+ Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh,
+ Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond;
+ Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Bushuk, Mitchell; Dunne,
+ Krista A.; Dussin, Raphael; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen
+ M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Lin, Pu; Malyshev,
+ Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey;
+ Reichl, Brandon G; Schwarzkopf, Daniel M; Seman, Charles J; Shao, Andrew;
+ Silvers, Levi; Wyman, Bruce; Yan, Xiaoqin; Zeng, Yujin; Adcroft, Alistair;
+ Dunne, John P.; Held, Isaac M; Krasting, John P.; Horowitz, Larry W.; Milly,
+ P.C.D; Shevliakova, Elena; Winton, Michael; Zhao, Ming; Zhang, Rong **(2018)**.
+ *NOAA-GFDL GFDL-CM4 model output*. Version 20180701. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.1402\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Guo, Huan; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei;
+ Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta,
+ Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth;
+ Vahlenkamp, Hans; Dunne, Krista A.; Gauthier, Paul PG; Ginoux, Paul; Griffies,
+ Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Lin, Pu;
+ Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay,
+ Jeffrey; Schwarzkopf, Daniel M; Seman, Charles J; Shao, Andrew; Silvers, Levi;
+ Wyman, Bruce; Yan, Xiaoqin; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.;
+ Held, Isaac M; Krasting, John P.; Horowitz, Larry W.; Milly, Chris; Shevliakova,
+ Elena; Winton, Michael; Zhao, Ming; Zhang, Rong **(2018)**. *NOAA-GFDL GFDL-CM4
+ model output prepared for CMIP6 ScenarioMIP*. Version 20180701. Earth System
+ Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.9242\\n\\n\\n* **GFDL-ESM4**\\n\\n
+ \ License description: [data_licenses/GFDL-ESM4.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/GFDL-ESM4.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Krasting, John P.; John, Jasmin G; Blanton, Chris;
+ McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher;
+ Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond;
+ Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Dunne, Krista A.; Gauthier,
+ Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew;
+ Hurlin, William; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter,
+ David J; Ploshay, Jeffrey; Reichl, Brandon G; Schwarzkopf, Daniel M; Seman,
+ Charles J; Silvers, Levi; Wyman, Bruce; Zeng, Yujin; Adcroft, Alistair; Dunne,
+ John P.; Dussin, Raphael; Guo, Huan; He, Jian; Held, Isaac M; Horowitz, Larry
+ W.; Lin, Pu; Milly, P.C.D; Shevliakova, Elena; Stock, Charles; Winton, Michael;
+ Wittenberg, Andrew T.; Xie, Yuanyu; Zhao, Ming **(2018)**. *NOAA-GFDL GFDL-ESM4
+ model output prepared for CMIP6 CMIP*. Version 20190726. Earth System Grid
+ Federation. https://doi.org/10.22033/ESGF/CMIP6.1407\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > John, Jasmin G; Blanton, Chris; McHugh, Colleen; Radhakrishnan, Aparna;
+ Rand, Kristopher; Vahlenkamp, Hans; Wilson, Chandin; Zadeh, Niki T.; Dunne,
+ John P.; Dussin, Raphael; Horowitz, Larry W.; Krasting, John P.; Lin, Pu;
+ Malyshev, Sergey; Naik, Vaishali; Ploshay, Jeffrey; Shevliakova, Elena; Silvers,
+ Levi; Stock, Charles; Winton, Michael; Zeng, Yujin **(2018)**. *NOAA-GFDL
+ GFDL-ESM4 model output prepared for CMIP6 ScenarioMIP*. Version 20180701.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1414\\n\\n\\n*
+ **HadGEM3-GC31-LL**\\n\\n License description: [data_licenses/HadGEM3-GC31-LL.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/HadGEM3-GC31-LL.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Ridley, Jeff; Menary, Matthew; Kuhlbrodt, Till;
+ Andrews, Martin; Andrews, Tim **(2018)**. *MOHC HadGEM3-GC31-LL model output
+ prepared for CMIP6 CMIP*. Version 20190624. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.419\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Good, Peter **(2019)**. *MOHC HadGEM3-GC31-LL model output prepared for
+ CMIP6 ScenarioMIP*. SSP1-2.6 version 20200114; SSP2-4.5 version 20190908;
+ SSP5-8.5 version 20200114. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.10845\\n\\n\\n*
+ **MIROC-ES2L**\\n\\n License description: [data_licenses/MIROC-ES2L.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MIROC-ES2L.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Hajima, Tomohiro; Abe, Manabu; Arakawa, Osamu; Suzuki,
+ Tatsuo; Komuro, Yoshiki; Ogura, Tomoo; Ogochi, Koji; Watanabe, Michio; Yamamoto,
+ Akitomo; Tatebe, Hiroaki; Noguchi, Maki A.; Ohgaito, Rumi; Ito, Akinori; Yamazaki,
+ Dai; Ito, Akihiko; Takata, Kumiko; Watanabe, Shingo; Kawamiya, Michio; Tachiiri,
+ Kaoru **(2019)**. *MIROC MIROC-ES2L model output prepared for CMIP6 CMIP*.
+ Version 20191129. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.902\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > Tachiiri, Kaoru; Abe, Manabu; Hajima, Tomohiro;
+ Arakawa, Osamu; Suzuki, Tatsuo; Komuro, Yoshiki; Ogochi, Koji; Watanabe, Michio;
+ Yamamoto, Akitomo; Tatebe, Hiroaki; Noguchi, Maki A.; Ohgaito, Rumi; Ito,
+ Akinori; Yamazaki, Dai; Ito, Akihiko; Takata, Kumiko; Watanabe, Shingo; Kawamiya,
+ Michio **(2019)**. *MIROC MIROC-ES2L model output prepared for CMIP6 ScenarioMIP*.
+ Version 20200318. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.936\\n\\n\\n*
+ **MIROC6**\\n\\n License description: [data_licenses/MIROC6.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MIROC6.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Tatebe, Hiroaki; Watanabe, Masahiro **(2018)**.
+ *MIROC MIROC6 model output prepared for CMIP6 CMIP*. Version 20191016. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.881\\n\\n ScenarioMIP
+ Citation:\\n\\n > Shiogama, Hideo; Abe, Manabu; Tatebe, Hiroaki **(2019)**.
+ *MIROC MIROC6 model output prepared for CMIP6 ScenarioMIP*. Version 20191016.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.898\\n\\n\\n*
+ **MPI-ESM1-2-HR**\\n\\n License description: [data_licenses/MPI-ESM1-2-HR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MPI-ESM1-2-HR.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Jungclaus, Johann; Bittner, Matthias; Wieners, Karl-Hermann;
+ Wachsmann, Fabian; Schupfner, Martin; Legutke, Stephanie; Giorgetta, Marco;
+ Reick, Christian; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz,
+ Thomas; Esch, Monika; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens,
+ J\xF6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina;
+ Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster,
+ Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem;
+ Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao;
+ M\xFCller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten;
+ Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt,
+ Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt,
+ Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-HR model output prepared
+ for CMIP6 CMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.741\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > Schupfner, Martin; Wieners, Karl-Hermann;
+ Wachsmann, Fabian; Steger, Christian; Bittner, Matthias; Jungclaus, Johann;
+ Fr\xFCh, Barbara; Pankatz, Klaus; Giorgetta, Marco; Reick, Christian; Legutke,
+ Stephanie; Esch, Monika; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp;
+ Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\xF6rg;
+ Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler,
+ Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia;
+ Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela;
+ Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\xFCller, Wolfgang;
+ Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann,
+ Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner;
+ Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich
+ **(2019)**. *DKRZ MPI-ESM1.2-HR model output prepared for CMIP6 ScenarioMIP*.
+ Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2450\\n\\n\\n*
+ **MPI-ESM1-2-LR**\\n\\n License description: [data_licenses/MPI-ESM1-2-LR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MPI-ESM1-2-LR.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Wieners, Karl-Hermann; Giorgetta, Marco; Jungclaus,
+ Johann; Reick, Christian; Esch, Monika; Bittner, Matthias; Legutke, Stephanie;
+ Schupfner, Martin; Wachsmann, Fabian; Gayler, Veronika; Haak, Helmuth; de
+ Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song;
+ Behrens, J\xF6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast,
+ Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas;
+ Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke,
+ Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao;
+ M\xFCller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten;
+ Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt,
+ Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt,
+ Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-LR model output prepared
+ for CMIP6 CMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.742\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > Wieners, Karl-Hermann; Giorgetta, Marco;
+ Jungclaus, Johann; Reick, Christian; Esch, Monika; Bittner, Matthias; Gayler,
+ Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten;
+ von Storch, Jin-Song; Behrens, J\xF6rg; Brovkin, Victor; Claussen, Martin;
+ Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger,
+ Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh,
+ Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz,
+ Uwe; Modali, Kameswarrao; M\xFCller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von
+ Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast,
+ Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina;
+ Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-LR
+ model output prepared for CMIP6 ScenarioMIP*. Version 20190710. Earth System
+ Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.793\\n\\n\\n* **NESM3**\\n\\n
+ \ License description: [data_licenses/NESM3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NESM3.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Cao, Jian; Wang, Bin **(2019)**. *NUIST NESMv3 model
+ output prepared for CMIP6 CMIP*. Version 20190812. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.2021\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Cao, Jian **(2019)**. *NUIST NESMv3 model output prepared for CMIP6 ScenarioMIP*.
+ SSP1-2.6 version 20190806; SSP2-4.5 version 20190805; SSP5-8.5 version 20190811.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2027\\n\\n\\n*
+ **NorESM2-LM**\\n\\n License description: [data_licenses/NorESM2-LM.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NorESM2-LM.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Seland, \xD8yvind; Bentsen, Mats; Olivi\xE8, Dirk
+ Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard,
+ Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\xE5g, Alf; Schwinger,
+ J\xF6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao;
+ Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger
+ Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum;
+ Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze,
+ Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-LM model
+ output prepared for CMIP6 CMIP*. Version 20190815. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.502\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Seland, \xD8yvind; Bentsen, Mats; Olivi\xE8, Dirk Jan Leo; Toniazzo, Thomas;
+ Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok
+ Kumar; He, Yanchun; Kirkev\xE5g, Alf; Schwinger, J\xF6rg; Tjiputra, Jerry;
+ Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini,
+ Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren,
+ Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger,
+ Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz,
+ Michael **(2019)**. *NCC NorESM2-LM model output prepared for CMIP6 ScenarioMIP*.
+ Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.604\\n\\n\\n*
+ **NorESM2-MM**\\n\\n License description: [data_licenses/NorESM2-MM.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NorESM2-MM.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Bentsen, Mats; Olivi\xE8, Dirk Jan Leo; Seland,
+ \xD8yvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard,
+ Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\xE5g, Alf; Schwinger,
+ J\xF6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao;
+ Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger
+ Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum;
+ Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze,
+ Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-MM model
+ output prepared for CMIP6 CMIP*. Version 20191108. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.506\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Bentsen, Mats; Olivi\xE8, Dirk Jan Leo; Seland, \xD8yvind; Toniazzo, Thomas;
+ Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok
+ Kumar; He, Yanchun; Kirkev\xE5g, Alf; Schwinger, J\xF6rg; Tjiputra, Jerry;
+ Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini,
+ Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren,
+ Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger,
+ Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz,
+ Michael **(2019)**. *NCC NorESM2-MM model output prepared for CMIP6 ScenarioMIP*.
+ Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.608\\n\\n\\n*
+ **UKESM1-0-LL**\\n\\n License description: [data_licenses/UKESM1-0-LL.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/UKESM1-0-LL.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Tang, Yongming; Rumbold, Steve; Ellis, Rich; Kelley,
+ Douglas; Mulcahy, Jane; Sellar, Alistair; Walton, Jeremy; Jones, Colin **(2019)**.
+ *MOHC UKESM1.0-LL model output prepared for CMIP6 CMIP*. Version 20190627.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1569\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > Good, Peter; Sellar, Alistair; Tang, Yongming;
+ Rumbold, Steve; Ellis, Rich; Kelley, Douglas; Kuhlbrodt, Till; Walton, Jeremy
+ **(2019)**. *MOHC UKESM1.0-LL model output prepared for CMIP6 ScenarioMIP*.
+ SSP1-2.6 version 20190708; SSP2-4.5 version 20190715; SSP3-7.0 version 20190726;
+ SSP5-8.5 version 20190726. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1567\\n\\n\\n####
+ CC-BY-SA-4.0\\n\\nThe following bias corrected and downscaled model simulations
+ are licensed under a [Creative Commons Attribution-ShareAlike 4.0 International
+ License](https://creativecommons.org/licenses/by-sa/4.0/). Note that this
+ license requires citation of the source model output (included here) and requires
+ that derived works be shared under the same license. Please see https://creativecommons.org/licenses/by-sa/4.0/
+ for more information. Access the collection on Planetary Computer at https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by-sa.\\n\\n*
+ **CanESM5**\\n\\n License description: [data_licenses/CanESM5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CanESM5.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Swart, Neil Cameron; Cole, Jason N.S.; Kharin, Viatcheslav
+ V.; Lazare, Mike; Scinocca, John F.; Gillett, Nathan P.; Anstey, James; Arora,
+ Vivek; Christian, James R.; Jiao, Yanjun; Lee, Warren G.; Majaess, Fouad;
+ Saenko, Oleg A.; Seiler, Christian; Seinen, Clint; Shao, Andrew; Solheim,
+ Larry; von Salzen, Knut; Yang, Duo; Winter, Barbara; Sigmond, Michael **(2019)**.
+ *CCCma CanESM5 model output prepared for CMIP6 CMIP*. Version 20190429. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1303\\n\\n ScenarioMIP
+ Citation:\\n\\n > Swart, Neil Cameron; Cole, Jason N.S.; Kharin, Viatcheslav
+ V.; Lazare, Mike; Scinocca, John F.; Gillett, Nathan P.; Anstey, James; Arora,
+ Vivek; Christian, James R.; Jiao, Yanjun; Lee, Warren G.; Majaess, Fouad;
+ Saenko, Oleg A.; Seiler, Christian; Seinen, Clint; Shao, Andrew; Solheim,
+ Larry; von Salzen, Knut; Yang, Duo; Winter, Barbara; Sigmond, Michael **(2019)**.
+ *CCCma CanESM5 model output prepared for CMIP6 ScenarioMIP*. Version 20190429.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1317\\n\\n##
+ Acknowledgements\\n\\nThis work is the result of many years worth of work
+ by members of the [Climate Impact Lab](https://impactlab.org), but would not
+ have been possible without many contributions from across the wider scientific
+ and computing communities.\\n\\nSpecifically, we would like to acknowledge
+ the World Climate Research Programme's Working Group on Coupled Modeling,
+ which is responsible for CMIP, and we would like to thank the climate modeling
+ groups for producing and making their model output available. We would particularly
+ like to thank the modeling institutions whose results are included as an input
+ to this repository (listed above) for their contributions to the CMIP6 project
+ and for responding to and granting our requests for license waivers.\\n\\nWe
+ would also like to thank Lamont-Doherty Earth Observatory, the [Pangeo Consortium](https://github.com/pangeo-data)
+ (and especially the [ESGF Cloud Data Working Group](https://pangeo-data.github.io/pangeo-cmip6-cloud/#))
+ and Google Cloud and the Google Public Datasets program for making the [CMIP6
+ Google Cloud collection](https://console.cloud.google.com/marketplace/details/noaa-public/cmip6)
+ possible. In particular we're extremely grateful to [Ryan Abernathey](https://github.com/rabernat),
+ [Naomi Henderson](https://github.com/naomi-henderson), [Charles Blackmon-Luca](https://github.com/charlesbluca),
+ [Aparna Radhakrishnan](https://github.com/aradhakrishnanGFDL), [Julius Busecke](https://github.com/jbusecke),
+ and [Charles Stern](https://github.com/cisaacstern) for the huge amount of
+ work they've done to translate the ESGF CMIP6 netCDF archives into consistently-formattted,
+ analysis-ready zarr stores on Google Cloud.\\n\\nWe're also grateful to the
+ [xclim developers](https://github.com/Ouranosinc/xclim/graphs/contributors)
+ ([DOI: 10.5281/zenodo.2795043](https://doi.org/10.5281/zenodo.2795043)), in
+ particular [Pascal Bourgault](https://github.com/aulemahal), [David Huard](https://github.com/huard),
+ and [Travis Logan](https://github.com/tlogan2000), for implementing the QDM
+ bias correction method in the xclim python package, supporting our QPLAD implementation
+ into the package, and ongoing support in integrating dask into downscaling
+ workflows. For method advice and useful conversations, we would like to thank
+ Keith Dixon, Dennis Adams-Smith, and [Joe Hamman](https://github.com/jhamman).\\n\\n##
+ Financial support\\n\\nThis research has been supported by The Rockefeller
+ Foundation and the Microsoft AI for Earth Initiative.\\n\\n## Additional links:\\n\\n*
+ CIL GDPCIR project homepage: [github.com/ClimateImpactLab/downscaleCMIP6](https://github.com/ClimateImpactLab/downscaleCMIP6)\\n*
+ Project listing on zenodo: https://doi.org/10.5281/zenodo.6403794\\n* Climate
+ Impact Lab homepage: [impactlab.org](https://impactlab.org)\",\"item_assets\":{\"pr\":{\"type\":\"application/vnd+zarr\",\"roles\":[\"data\"],\"title\":\"Precipitation\",\"description\":\"Precipitation\"},\"tasmax\":{\"type\":\"application/vnd+zarr\",\"roles\":[\"data\"],\"title\":\"Daily
+ Maximum Near-Surface Air Temperature\",\"description\":\"Daily Maximum Near-Surface
+ Air Temperature\"},\"tasmin\":{\"type\":\"application/vnd+zarr\",\"roles\":[\"data\"],\"title\":\"Daily
+ Minimum Near-Surface Air Temperature\",\"description\":\"Daily Minimum Near-Surface
+ Air Temperature\"}},\"stac_version\":\"1.0.0\",\"msft:group_id\":\"cil-gdpcir\",\"cube:variables\":{\"pr\":{\"type\":\"data\",\"unit\":\"mm
+ day-1\",\"attrs\":{\"units\":\"mm day-1\"},\"dimensions\":[\"time\",\"lat\",\"lon\"]},\"tasmax\":{\"type\":\"data\",\"unit\":\"K\",\"attrs\":{\"units\":\"K\",\"comment\":\"maximum
+ near-surface (usually, 2 meter) air temperature (add cell_method attribute
+ 'time: max')\",\"long_name\":\"Daily Maximum Near-Surface Air Temperature\",\"coordinates\":\"height\",\"cell_methods\":\"area:
+ mean time: maximum (interval: 5 minutes)\",\"cell_measures\":\"area: areacella\",\"original_name\":\"TREFHTMX\",\"standard_name\":\"air_temperature\"},\"dimensions\":[\"time\",\"lat\",\"lon\"],\"description\":\"Daily
+ Maximum Near-Surface Air Temperature\"},\"tasmin\":{\"type\":\"data\",\"unit\":\"K\",\"attrs\":{\"units\":\"K\",\"comment\":\"minimum
+ near-surface (usually, 2 meter) air temperature (add cell_method attribute
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+ for spatial planning and management, monitoring the extent of biodiversity
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+ project results spatially across the globe. These methods, as well as comparisons
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+ (CMIP6)](https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6) represents an
+ enormous advance in the quality, detail, and scope of climate modeling.\\n\\nThe
+ [Global Downscaled Projections for Climate Impacts Research](https://github.com/ClimateImpactLab/downscaleCMIP6)
+ dataset makes this modeling more applicable to understanding the impacts of
+ changes in the climate on humans and society with two key developments: trend-preserving
+ bias correction and downscaling. In this dataset, the [Climate Impact Lab](https://impactlab.org)
+ provides global, daily minimum and maximum air temperature at the surface
+ (`tasmin` and `tasmax`) and daily cumulative surface precipitation (`pr`)
+ corresponding to the CMIP6 historical, ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5
+ scenarios for 25 global climate models on a 1/4-degree regular global grid.\\n\\n##
+ Accessing the data\\n\\nGDPCIR data can be accessed on the Microsoft Planetary
+ Computer. The dataset is made of of three collections, distinguished by data
+ license:\\n* [Public domain (CC0-1.0) collection](https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc0)\\n*
+ [Attribution (CC BY 4.0) collection](https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by)\\n\\nEach
+ modeling center with bias corrected and downscaled data in this collection
+ falls into one of these license categories - see the [table below](/dataset/cil-gdpcir-cc0#available-institutions-models-and-scenarios-by-license-collection)
+ to see which model is in each collection, and see the section below on [Citing,
+ Licensing, and using data produced by this project](/dataset/cil-gdpcir-cc0#citing-licensing-and-using-data-produced-by-this-project)
+ for citations and additional information about each license.\\n\\n## Data
+ format & contents\\n\\nThe data is stored as partitioned zarr stores (see
+ [https://zarr.readthedocs.io](https://zarr.readthedocs.io)), each of which
+ includes thousands of data and metadata files covering the full time span
+ of the experiment. Historical zarr stores contain just over 50 GB, while SSP
+ zarr stores contain nearly 70GB. Each store is stored as a 32-bit float, with
+ dimensions time (daily datetime), lat (float latitude), and lon (float longitude).
+ The data is chunked at each interval of 365 days and 90 degree interval of
+ latitude and longitude. Therefore, each chunk is `(365, 360, 360)`, with each
+ chunk occupying approximately 180MB in memory.\\n\\nHistorical data is daily,
+ excluding leap days, from Jan 1, 1950 to Dec 31, 2014; SSP data is daily,
+ excluding leap days, from Jan 1, 2015 to either Dec 31, 2099 or Dec 31, 2100,
+ depending on data availability in the source GCM.\\n\\nThe spatial domain
+ covers all 0.25-degree grid cells, indexed by the grid center, with grid edges
+ on the quarter-degree, using a -180 to 180 longitude convention. Thus, the
+ \u201Clon\u201D coordinate extends from -179.875 to 179.875, and the \u201Clat\u201D
+ coordinate extends from -89.875 to 89.875, with intermediate values at each
+ 0.25-degree increment between (e.g. -179.875, -179.625, -179.375, etc).\\n\\n##
+ Available institutions, models, and scenarios by license collection\\n\\n|
+ Modeling institution | Source model | Available experiments
+ \ | License collection |\\n| -------------------- | -----------------
+ | ------------------------------------------ | ---------------------- |\\n|
+ CAS | FGOALS-g3 [^1] | SSP2-4.5, SSP3-7.0, and SSP5-8.5
+ \ | Public domain datasets |\\n| INM | INM-CM4-8
+ \ | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | Public domain datasets
+ |\\n| INM | INM-CM5-0 | SSP1-2.6, SSP2-4.5, SSP3-7.0,
+ and SSP5-8.5 | Public domain datasets |\\n| BCC | BCC-CSM2-MR
+ \ | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n|
+ CMCC | CMCC-CM2-SR5 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5
+ \ | CC-BY-40 |\\n| CMCC | CMCC-ESM2 |
+ ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-40 |\\n|
+ CSIRO-ARCCSS | ACCESS-CM2 | SSP2-4.5 and SSP3-7.0 |
+ CC-BY-40 |\\n| CSIRO | ACCESS-ESM1-5 | SSP1-2.6,
+ SSP2-4.5, and SSP3-7.0 | CC-BY-40 |\\n| MIROC |
+ MIROC-ES2L | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40
+ \ |\\n| MIROC | MIROC6 | SSP1-2.6,
+ SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| MOHC |
+ HadGEM3-GC31-LL | SSP1-2.6, SSP2-4.5, and SSP5-8.5 | CC-BY-40
+ \ |\\n| MOHC | UKESM1-0-LL | SSP1-2.6,
+ SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| MPI-M |
+ MPI-ESM1-2-LR | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40
+ \ |\\n| MPI-M/DKRZ [^2] | MPI-ESM1-2-HR | SSP1-2.6 and
+ SSP5-8.5 | CC-BY-40 |\\n| NCC |
+ NorESM2-LM | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40
+ \ |\\n| NCC | NorESM2-MM | SSP1-2.6,
+ SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| NOAA-GFDL
+ \ | GFDL-CM4 | SSP2-4.5 and SSP5-8.5 |
+ CC-BY-40 |\\n| NOAA-GFDL | GFDL-ESM4 | SSP1-2.6,
+ SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| NUIST |
+ NESM3 | SSP1-2.6, SSP2-4.5, and SSP5-8.5 | CC-BY-40
+ \ |\\n| EC-Earth-Consortium | EC-Earth3 | ssp1-2.6,
+ ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40 |\\n| EC-Earth-Consortium
+ \ | EC-Earth3-AerChem | ssp370 | CC-BY-40
+ \ |\\n| EC-Earth-Consortium | EC-Earth3-CC | ssp245 and
+ ssp585 | CC-BY-40 |\\n| EC-Earth-Consortium
+ \ | EC-Earth3-Veg | ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40
+ \ |\\n| EC-Earth-Consortium | EC-Earth3-Veg-LR | ssp1-2.6,
+ ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40 |\\n| CCCma |
+ CanESM5 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-40[^3]
+ \ |\\n\\n*Notes:*\\n\\n[^1]: At the time of running, no ssp1-2.6
+ precipitation data was available. Therefore, we provide `tasmin` and `tamax`
+ for this model and experiment, but not `pr`. All other model/experiment combinations
+ in the above table include all three variables.\\n\\n[^2]: The institution
+ which ran MPI-ESM1-2-HR\u2019s historical (CMIP) simulations is `MPI-M`, while
+ the future (ScenarioMIP) simulations were run by `DKRZ`. Therefore, the institution
+ component of `MPI-ESM1-2-HR` filepaths differ between `historical` and `SSP`
+ scenarios.\\n\\n[^3]: This dataset was previously licensed as [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/),
+ but was relicensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0)
+ in March, 2023. \\n\\n## Project methods\\n\\nThis project makes use of statistical
+ bias correction and downscaling algorithms, which are specifically designed
+ to accurately represent changes in the extremes. For this reason, we selected
+ Quantile Delta Mapping (QDM), following the method introduced by [Cannon et
+ al. (2015)](https://doi.org/10.1175/JCLI-D-14-00754.1), which preserves quantile-specific
+ trends from the GCM while fitting the full distribution for a given day-of-year
+ to a reference dataset (ERA5).\\n\\nWe then introduce a similar method tailored
+ to increase spatial resolution while preserving extreme behavior, Quantile-Preserving
+ Localized-Analog Downscaling (QPLAD).\\n\\nTogether, these methods provide
+ a robust means to handle both the central and tail behavior seen in climate
+ model output, while aligning the full distribution to a state-of-the-art reanalysis
+ dataset and providing the spatial granularity needed to study surface impacts.\\n\\nFor
+ further documentation, see [Global downscaled projections for climate impacts
+ research (GDPCIR): preserving extremes for modeling future climate impacts](https://egusphere.copernicus.org/preprints/2023/egusphere-2022-1513/)
+ (EGUsphere, 2022 [preprint]).\\n\\n\\n## Citing, licensing, and using data
+ produced by this project\\n\\nProjects making use of the data produced as
+ part of the Climate Impact Lab Global Downscaled Projections for Climate Impacts
+ Research (CIL GDPCIR) project are requested to cite both this project and
+ the source datasets from which these results are derived. Additionally, the
+ use of data derived from some GCMs *requires* citations, and some modeling
+ centers impose licensing restrictions & requirements on derived works. See
+ each GCM's license info in the links below for more information.\\n\\n###
+ CIL GDPCIR\\n\\nUsers are requested to cite this project in derived works.
+ Our method documentation paper may be cited using the following:\\n\\n> Gergel,
+ D. R., Malevich, S. B., McCusker, K. E., Tenezakis, E., Delgado, M. T., Fish,
+ M. A., and Kopp, R. E.: Global downscaled projections for climate impacts
+ research (GDPCIR): preserving extremes for modeling future climate impacts,
+ EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-1513, 2023. \\n\\nThe
+ code repository may be cited using the following:\\n\\n> Diana Gergel, Kelly
+ McCusker, Brewster Malevich, Emile Tenezakis, Meredith Fish, Michael Delgado
+ (2022). ClimateImpactLab/downscaleCMIP6: (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.6403794\\n\\n###
+ ERA5\\n\\nAdditionally, we request you cite the historical dataset used in
+ bias correction and downscaling, ERA5. See the [ECMWF guide to citing a dataset
+ on the Climate Data Store](https://confluence.ecmwf.int/display/CKB/How+to+acknowledge+and+cite+a+Climate+Data+Store+%28CDS%29+catalogue+entry+and+the+data+published+as+part+of+it):\\n\\n>
+ Hersbach, H, et al. The ERA5 global reanalysis. Q J R Meteorol Soc.2020; 146:
+ 1999\u20132049. DOI: [10.1002/qj.3803](https://doi.org/10.1002/qj.3803)\\n>\\n>
+ Mu\xF1oz Sabater, J., (2019): ERA5-Land hourly data from 1981 to present.
+ Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed
+ on June 4, 2021), DOI: [10.24381/cds.e2161bac](https://doi.org/10.24381/cds.e2161bac)\\n>\\n>
+ Mu\xF1oz Sabater, J., (2021): ERA5-Land hourly data from 1950 to 1980. Copernicus
+ Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on June 4,
+ 2021), DOI: [10.24381/cds.e2161bac](https://doi.org/10.24381/cds.e2161bac)\\n\\n###
+ GCM-specific citations & licenses\\n\\nThe CMIP6 simulation data made available
+ through the Earth System Grid Federation (ESGF) are subject to Creative Commons
+ [BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) or [BY-NC-SA
+ 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) licenses. The Climate
+ Impact Lab has reached out to each of the modeling institutions to request
+ waivers from these terms so the outputs of this project may be used with fewer
+ restrictions, and has been granted permission to release the data using the
+ licenses listed here.\\n\\n#### Public Domain Datasets\\n\\nThe following
+ bias corrected and downscaled model simulations are available in the public
+ domain using a [CC0 1.0 Universal Public Domain Declaration](https://creativecommons.org/publicdomain/zero/1.0/).
+ Access the collection on Planetary Computer at https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc0.\\n\\n*
+ **FGOALS-g3**\\n\\n License description: [data_licenses/FGOALS-g3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/FGOALS-g3.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Li, Lijuan **(2019)**. *CAS FGOALS-g3 model output
+ prepared for CMIP6 CMIP*. Version 20190826. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.1783\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Li, Lijuan **(2019)**. *CAS FGOALS-g3 model output prepared for CMIP6
+ ScenarioMIP*. SSP1-2.6 version 20190818; SSP2-4.5 version 20190818; SSP3-7.0
+ version 20190820; SSP5-8.5 tasmax version 20190819; SSP5-8.5 tasmin version
+ 20190819; SSP5-8.5 pr version 20190818. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2056\\n\\n\\n*
+ **INM-CM4-8**\\n\\n License description: [data_licenses/INM-CM4-8.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/INM-CM4-8.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey;
+ Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin,
+ Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**.
+ *INM INM-CM4-8 model output prepared for CMIP6 CMIP*. Version 20190530. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1422\\n\\n ScenarioMIP
+ Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov,
+ Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey;
+ Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM4-8
+ model output prepared for CMIP6 ScenarioMIP*. Version 20190603. Earth System
+ Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.12321\\n\\n\\n* **INM-CM5-0**\\n\\n
+ \ License description: [data_licenses/INM-CM5-0.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/INM-CM5-0.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey;
+ Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin,
+ Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**.
+ *INM INM-CM5-0 model output prepared for CMIP6 CMIP*. Version 20190610. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1423\\n\\n ScenarioMIP
+ Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov,
+ Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey;
+ Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM5-0
+ model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190619; SSP2-4.5
+ version 20190619; SSP3-7.0 version 20190618; SSP5-8.5 version 20190724. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.12322\\n\\n\\n####
+ CC-BY-4.0\\n\\nThe following bias corrected and downscaled model simulations
+ are licensed under a [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).
+ Note that this license requires citation of the source model output (included
+ here). Please see https://creativecommons.org/licenses/by/4.0/ for more information.
+ Access the collection on Planetary Computer at https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by.\\n\\n*
+ **ACCESS-CM2**\\n\\n License description: [data_licenses/ACCESS-CM2.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/ACCESS-CM2.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Dix, Martin; Bi, Doahua; Dobrohotoff, Peter; Fiedler,
+ Russell; Harman, Ian; Law, Rachel; Mackallah, Chloe; Marsland, Simon; O'Farrell,
+ Siobhan; Rashid, Harun; Srbinovsky, Jhan; Sullivan, Arnold; Trenham, Claire;
+ Vohralik, Peter; Watterson, Ian; Williams, Gareth; Woodhouse, Matthew; Bodman,
+ Roger; Dias, Fabio Boeira; Domingues, Catia; Hannah, Nicholas; Heerdegen,
+ Aidan; Savita, Abhishek; Wales, Scott; Allen, Chris; Druken, Kelsey; Evans,
+ Ben; Richards, Clare; Ridzwan, Syazwan Mohamed; Roberts, Dale; Smillie, Jon;
+ Snow, Kate; Ward, Marshall; Yang, Rui **(2019)**. *CSIRO-ARCCSS ACCESS-CM2
+ model output prepared for CMIP6 CMIP*. Version 20191108. Earth System Grid
+ Federation. https://doi.org/10.22033/ESGF/CMIP6.2281\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Dix, Martin; Bi, Doahua; Dobrohotoff, Peter; Fiedler, Russell; Harman,
+ Ian; Law, Rachel; Mackallah, Chloe; Marsland, Simon; O'Farrell, Siobhan; Rashid,
+ Harun; Srbinovsky, Jhan; Sullivan, Arnold; Trenham, Claire; Vohralik, Peter;
+ Watterson, Ian; Williams, Gareth; Woodhouse, Matthew; Bodman, Roger; Dias,
+ Fabio Boeira; Domingues, Catia; Hannah, Nicholas; Heerdegen, Aidan; Savita,
+ Abhishek; Wales, Scott; Allen, Chris; Druken, Kelsey; Evans, Ben; Richards,
+ Clare; Ridzwan, Syazwan Mohamed; Roberts, Dale; Smillie, Jon; Snow, Kate;
+ Ward, Marshall; Yang, Rui **(2019)**. *CSIRO-ARCCSS ACCESS-CM2 model output
+ prepared for CMIP6 ScenarioMIP*. Version 20191108. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.2285\\n\\n\\n* **ACCESS-ESM1-5**\\n\\n
+ \ License description: [data_licenses/ACCESS-ESM1-5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/ACCESS-ESM1-5.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Ziehn, Tilo; Chamberlain, Matthew; Lenton, Andrew;
+ Law, Rachel; Bodman, Roger; Dix, Martin; Wang, Yingping; Dobrohotoff, Peter;
+ Srbinovsky, Jhan; Stevens, Lauren; Vohralik, Peter; Mackallah, Chloe; Sullivan,
+ Arnold; O'Farrell, Siobhan; Druken, Kelsey **(2019)**. *CSIRO ACCESS-ESM1.5
+ model output prepared for CMIP6 CMIP*. Version 20191115. Earth System Grid
+ Federation. https://doi.org/10.22033/ESGF/CMIP6.2288\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Ziehn, Tilo; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Bodman,
+ Roger; Dix, Martin; Wang, Yingping; Dobrohotoff, Peter; Srbinovsky, Jhan;
+ Stevens, Lauren; Vohralik, Peter; Mackallah, Chloe; Sullivan, Arnold; O'Farrell,
+ Siobhan; Druken, Kelsey **(2019)**. *CSIRO ACCESS-ESM1.5 model output prepared
+ for CMIP6 ScenarioMIP*. Version 20191115. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2291\\n\\n\\n*
+ **BCC-CSM2-MR**\\n\\n License description: [data_licenses/BCC-CSM2-MR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/BCC-CSM2-MR.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Xin, Xiaoge; Zhang, Jie; Zhang, Fang; Wu, Tongwen;
+ Shi, Xueli; Li, Jianglong; Chu, Min; Liu, Qianxia; Yan, Jinghui; Ma, Qiang;
+ Wei, Min **(2018)**. *BCC BCC-CSM2MR model output prepared for CMIP6 CMIP*.
+ Version 20181126. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1725\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > Xin, Xiaoge; Wu, Tongwen; Shi, Xueli; Zhang,
+ Fang; Li, Jianglong; Chu, Min; Liu, Qianxia; Yan, Jinghui; Ma, Qiang; Wei,
+ Min **(2019)**. *BCC BCC-CSM2MR model output prepared for CMIP6 ScenarioMIP*.
+ SSP1-2.6 version 20190315; SSP2-4.5 version 20190318; SSP3-7.0 version 20190318;
+ SSP5-8.5 version 20190318. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1732\\n\\n\\n*
+ **CMCC-CM2-SR5**\\n\\n License description: [data_licenses/CMCC-CM2-SR5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CMCC-CM2-SR5.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele **(2020)**. *CMCC
+ CMCC-CM2-SR5 model output prepared for CMIP6 CMIP*. Version 20200616. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1362\\n\\n ScenarioMIP
+ Citation:\\n\\n > Lovato, Tomas; Peano, Daniele **(2020)**. *CMCC CMCC-CM2-SR5
+ model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20200717; SSP2-4.5
+ version 20200617; SSP3-7.0 version 20200622; SSP5-8.5 version 20200622. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1365\\n\\n\\n*
+ **CMCC-ESM2**\\n\\n License description: [data_licenses/CMCC-ESM2.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CMCC-ESM2.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele; Butensch\xF6n, Momme
+ **(2021)**. *CMCC CMCC-ESM2 model output prepared for CMIP6 CMIP*. Version
+ 20210114. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.13164\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele; Butensch\xF6n,
+ Momme **(2021)**. *CMCC CMCC-ESM2 model output prepared for CMIP6 ScenarioMIP*.
+ SSP1-2.6 version 20210126; SSP2-4.5 version 20210129; SSP3-7.0 version 20210202;
+ SSP5-8.5 version 20210126. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.13168\\n\\n\\n*
+ **EC-Earth3-AerChem**\\n\\n License description: [data_licenses/EC-Earth3-AerChem.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-AerChem.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium
+ EC-Earth3-AerChem model output prepared for CMIP6 CMIP*. Version 20200624.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.639\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**.
+ *EC-Earth-Consortium EC-Earth3-AerChem model output prepared for CMIP6 ScenarioMIP*.
+ Version 20200827. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.724\\n\\n\\n*
+ **EC-Earth3-CC**\\n\\n License description: [data_licenses/EC-Earth3-CC.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-CC.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium
+ EC-Earth-3-CC model output prepared for CMIP6 CMIP*. Version 20210113. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.640\\n\\n ScenarioMIP
+ Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2021)**. *EC-Earth-Consortium
+ EC-Earth3-CC model output prepared for CMIP6 ScenarioMIP*. Version 20210113.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.15327\\n\\n\\n*
+ **EC-Earth3-Veg-LR**\\n\\n License description: [data_licenses/EC-Earth3-Veg-LR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-Veg-LR.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium
+ EC-Earth3-Veg-LR model output prepared for CMIP6 CMIP*. Version 20200217.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.643\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**.
+ *EC-Earth-Consortium EC-Earth3-Veg-LR model output prepared for CMIP6 ScenarioMIP*.
+ SSP1-2.6 version 20201201; SSP2-4.5 version 20201123; SSP3-7.0 version 20201123;
+ SSP5-8.5 version 20201201. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.728\\n\\n\\n*
+ **EC-Earth3-Veg**\\n\\n License description: [data_licenses/EC-Earth3-Veg.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-Veg.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium
+ EC-Earth3-Veg model output prepared for CMIP6 CMIP*. Version 20200225. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.642\\n\\n ScenarioMIP
+ Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium
+ EC-Earth3-Veg model output prepared for CMIP6 ScenarioMIP*. Version 20200225.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.727\\n\\n\\n*
+ **EC-Earth3**\\n\\n License description: [data_licenses/EC-Earth3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium
+ EC-Earth3 model output prepared for CMIP6 CMIP*. Version 20200310. Earth System
+ Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.181\\n\\n ScenarioMIP
+ Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium
+ EC-Earth3 model output prepared for CMIP6 ScenarioMIP*. Version 20200310.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.251\\n\\n\\n*
+ **GFDL-CM4**\\n\\n License description: [data_licenses/GFDL-CM4.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/GFDL-CM4.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Guo, Huan; John, Jasmin G; Blanton, Chris; McHugh,
+ Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh,
+ Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond;
+ Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Bushuk, Mitchell; Dunne,
+ Krista A.; Dussin, Raphael; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen
+ M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Lin, Pu; Malyshev,
+ Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey;
+ Reichl, Brandon G; Schwarzkopf, Daniel M; Seman, Charles J; Shao, Andrew;
+ Silvers, Levi; Wyman, Bruce; Yan, Xiaoqin; Zeng, Yujin; Adcroft, Alistair;
+ Dunne, John P.; Held, Isaac M; Krasting, John P.; Horowitz, Larry W.; Milly,
+ P.C.D; Shevliakova, Elena; Winton, Michael; Zhao, Ming; Zhang, Rong **(2018)**.
+ *NOAA-GFDL GFDL-CM4 model output*. Version 20180701. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.1402\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Guo, Huan; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei;
+ Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta,
+ Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth;
+ Vahlenkamp, Hans; Dunne, Krista A.; Gauthier, Paul PG; Ginoux, Paul; Griffies,
+ Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Lin, Pu;
+ Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay,
+ Jeffrey; Schwarzkopf, Daniel M; Seman, Charles J; Shao, Andrew; Silvers, Levi;
+ Wyman, Bruce; Yan, Xiaoqin; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.;
+ Held, Isaac M; Krasting, John P.; Horowitz, Larry W.; Milly, Chris; Shevliakova,
+ Elena; Winton, Michael; Zhao, Ming; Zhang, Rong **(2018)**. *NOAA-GFDL GFDL-CM4
+ model output prepared for CMIP6 ScenarioMIP*. Version 20180701. Earth System
+ Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.9242\\n\\n\\n* **GFDL-ESM4**\\n\\n
+ \ License description: [data_licenses/GFDL-ESM4.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/GFDL-ESM4.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Krasting, John P.; John, Jasmin G; Blanton, Chris;
+ McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher;
+ Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond;
+ Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Dunne, Krista A.; Gauthier,
+ Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew;
+ Hurlin, William; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter,
+ David J; Ploshay, Jeffrey; Reichl, Brandon G; Schwarzkopf, Daniel M; Seman,
+ Charles J; Silvers, Levi; Wyman, Bruce; Zeng, Yujin; Adcroft, Alistair; Dunne,
+ John P.; Dussin, Raphael; Guo, Huan; He, Jian; Held, Isaac M; Horowitz, Larry
+ W.; Lin, Pu; Milly, P.C.D; Shevliakova, Elena; Stock, Charles; Winton, Michael;
+ Wittenberg, Andrew T.; Xie, Yuanyu; Zhao, Ming **(2018)**. *NOAA-GFDL GFDL-ESM4
+ model output prepared for CMIP6 CMIP*. Version 20190726. Earth System Grid
+ Federation. https://doi.org/10.22033/ESGF/CMIP6.1407\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > John, Jasmin G; Blanton, Chris; McHugh, Colleen; Radhakrishnan, Aparna;
+ Rand, Kristopher; Vahlenkamp, Hans; Wilson, Chandin; Zadeh, Niki T.; Dunne,
+ John P.; Dussin, Raphael; Horowitz, Larry W.; Krasting, John P.; Lin, Pu;
+ Malyshev, Sergey; Naik, Vaishali; Ploshay, Jeffrey; Shevliakova, Elena; Silvers,
+ Levi; Stock, Charles; Winton, Michael; Zeng, Yujin **(2018)**. *NOAA-GFDL
+ GFDL-ESM4 model output prepared for CMIP6 ScenarioMIP*. Version 20180701.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1414\\n\\n\\n*
+ **HadGEM3-GC31-LL**\\n\\n License description: [data_licenses/HadGEM3-GC31-LL.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/HadGEM3-GC31-LL.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Ridley, Jeff; Menary, Matthew; Kuhlbrodt, Till;
+ Andrews, Martin; Andrews, Tim **(2018)**. *MOHC HadGEM3-GC31-LL model output
+ prepared for CMIP6 CMIP*. Version 20190624. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.419\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Good, Peter **(2019)**. *MOHC HadGEM3-GC31-LL model output prepared for
+ CMIP6 ScenarioMIP*. SSP1-2.6 version 20200114; SSP2-4.5 version 20190908;
+ SSP5-8.5 version 20200114. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.10845\\n\\n\\n*
+ **MIROC-ES2L**\\n\\n License description: [data_licenses/MIROC-ES2L.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MIROC-ES2L.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Hajima, Tomohiro; Abe, Manabu; Arakawa, Osamu; Suzuki,
+ Tatsuo; Komuro, Yoshiki; Ogura, Tomoo; Ogochi, Koji; Watanabe, Michio; Yamamoto,
+ Akitomo; Tatebe, Hiroaki; Noguchi, Maki A.; Ohgaito, Rumi; Ito, Akinori; Yamazaki,
+ Dai; Ito, Akihiko; Takata, Kumiko; Watanabe, Shingo; Kawamiya, Michio; Tachiiri,
+ Kaoru **(2019)**. *MIROC MIROC-ES2L model output prepared for CMIP6 CMIP*.
+ Version 20191129. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.902\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > Tachiiri, Kaoru; Abe, Manabu; Hajima, Tomohiro;
+ Arakawa, Osamu; Suzuki, Tatsuo; Komuro, Yoshiki; Ogochi, Koji; Watanabe, Michio;
+ Yamamoto, Akitomo; Tatebe, Hiroaki; Noguchi, Maki A.; Ohgaito, Rumi; Ito,
+ Akinori; Yamazaki, Dai; Ito, Akihiko; Takata, Kumiko; Watanabe, Shingo; Kawamiya,
+ Michio **(2019)**. *MIROC MIROC-ES2L model output prepared for CMIP6 ScenarioMIP*.
+ Version 20200318. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.936\\n\\n\\n*
+ **MIROC6**\\n\\n License description: [data_licenses/MIROC6.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MIROC6.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Tatebe, Hiroaki; Watanabe, Masahiro **(2018)**.
+ *MIROC MIROC6 model output prepared for CMIP6 CMIP*. Version 20191016. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.881\\n\\n ScenarioMIP
+ Citation:\\n\\n > Shiogama, Hideo; Abe, Manabu; Tatebe, Hiroaki **(2019)**.
+ *MIROC MIROC6 model output prepared for CMIP6 ScenarioMIP*. Version 20191016.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.898\\n\\n\\n*
+ **MPI-ESM1-2-HR**\\n\\n License description: [data_licenses/MPI-ESM1-2-HR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MPI-ESM1-2-HR.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Jungclaus, Johann; Bittner, Matthias; Wieners, Karl-Hermann;
+ Wachsmann, Fabian; Schupfner, Martin; Legutke, Stephanie; Giorgetta, Marco;
+ Reick, Christian; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz,
+ Thomas; Esch, Monika; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens,
+ J\xF6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina;
+ Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster,
+ Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem;
+ Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao;
+ M\xFCller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten;
+ Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt,
+ Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt,
+ Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-HR model output prepared
+ for CMIP6 CMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.741\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > Schupfner, Martin; Wieners, Karl-Hermann;
+ Wachsmann, Fabian; Steger, Christian; Bittner, Matthias; Jungclaus, Johann;
+ Fr\xFCh, Barbara; Pankatz, Klaus; Giorgetta, Marco; Reick, Christian; Legutke,
+ Stephanie; Esch, Monika; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp;
+ Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\xF6rg;
+ Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler,
+ Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia;
+ Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela;
+ Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\xFCller, Wolfgang;
+ Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann,
+ Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner;
+ Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich
+ **(2019)**. *DKRZ MPI-ESM1.2-HR model output prepared for CMIP6 ScenarioMIP*.
+ Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2450\\n\\n\\n*
+ **MPI-ESM1-2-LR**\\n\\n License description: [data_licenses/MPI-ESM1-2-LR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MPI-ESM1-2-LR.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Wieners, Karl-Hermann; Giorgetta, Marco; Jungclaus,
+ Johann; Reick, Christian; Esch, Monika; Bittner, Matthias; Legutke, Stephanie;
+ Schupfner, Martin; Wachsmann, Fabian; Gayler, Veronika; Haak, Helmuth; de
+ Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song;
+ Behrens, J\xF6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast,
+ Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas;
+ Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke,
+ Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao;
+ M\xFCller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten;
+ Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt,
+ Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt,
+ Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-LR model output prepared
+ for CMIP6 CMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.742\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > Wieners, Karl-Hermann; Giorgetta, Marco;
+ Jungclaus, Johann; Reick, Christian; Esch, Monika; Bittner, Matthias; Gayler,
+ Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten;
+ von Storch, Jin-Song; Behrens, J\xF6rg; Brovkin, Victor; Claussen, Martin;
+ Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger,
+ Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh,
+ Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz,
+ Uwe; Modali, Kameswarrao; M\xFCller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von
+ Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast,
+ Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina;
+ Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-LR
+ model output prepared for CMIP6 ScenarioMIP*. Version 20190710. Earth System
+ Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.793\\n\\n\\n* **NESM3**\\n\\n
+ \ License description: [data_licenses/NESM3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NESM3.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Cao, Jian; Wang, Bin **(2019)**. *NUIST NESMv3 model
+ output prepared for CMIP6 CMIP*. Version 20190812. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.2021\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Cao, Jian **(2019)**. *NUIST NESMv3 model output prepared for CMIP6 ScenarioMIP*.
+ SSP1-2.6 version 20190806; SSP2-4.5 version 20190805; SSP5-8.5 version 20190811.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2027\\n\\n\\n*
+ **NorESM2-LM**\\n\\n License description: [data_licenses/NorESM2-LM.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NorESM2-LM.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Seland, \xD8yvind; Bentsen, Mats; Olivi\xE8, Dirk
+ Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard,
+ Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\xE5g, Alf; Schwinger,
+ J\xF6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao;
+ Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger
+ Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum;
+ Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze,
+ Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-LM model
+ output prepared for CMIP6 CMIP*. Version 20190815. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.502\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Seland, \xD8yvind; Bentsen, Mats; Olivi\xE8, Dirk Jan Leo; Toniazzo, Thomas;
+ Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok
+ Kumar; He, Yanchun; Kirkev\xE5g, Alf; Schwinger, J\xF6rg; Tjiputra, Jerry;
+ Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini,
+ Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren,
+ Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger,
+ Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz,
+ Michael **(2019)**. *NCC NorESM2-LM model output prepared for CMIP6 ScenarioMIP*.
+ Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.604\\n\\n\\n*
+ **NorESM2-MM**\\n\\n License description: [data_licenses/NorESM2-MM.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NorESM2-MM.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Bentsen, Mats; Olivi\xE8, Dirk Jan Leo; Seland,
+ \xD8yvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard,
+ Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\xE5g, Alf; Schwinger,
+ J\xF6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao;
+ Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger
+ Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum;
+ Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze,
+ Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-MM model
+ output prepared for CMIP6 CMIP*. Version 20191108. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.506\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Bentsen, Mats; Olivi\xE8, Dirk Jan Leo; Seland, \xD8yvind; Toniazzo, Thomas;
+ Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok
+ Kumar; He, Yanchun; Kirkev\xE5g, Alf; Schwinger, J\xF6rg; Tjiputra, Jerry;
+ Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini,
+ Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren,
+ Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger,
+ Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz,
+ Michael **(2019)**. *NCC NorESM2-MM model output prepared for CMIP6 ScenarioMIP*.
+ Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.608\\n\\n\\n*
+ **UKESM1-0-LL**\\n\\n License description: [data_licenses/UKESM1-0-LL.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/UKESM1-0-LL.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Tang, Yongming; Rumbold, Steve; Ellis, Rich; Kelley,
+ Douglas; Mulcahy, Jane; Sellar, Alistair; Walton, Jeremy; Jones, Colin **(2019)**.
+ *MOHC UKESM1.0-LL model output prepared for CMIP6 CMIP*. Version 20190627.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1569\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > Good, Peter; Sellar, Alistair; Tang, Yongming;
+ Rumbold, Steve; Ellis, Rich; Kelley, Douglas; Kuhlbrodt, Till; Walton, Jeremy
+ **(2019)**. *MOHC UKESM1.0-LL model output prepared for CMIP6 ScenarioMIP*.
+ SSP1-2.6 version 20190708; SSP2-4.5 version 20190715; SSP3-7.0 version 20190726;
+ SSP5-8.5 version 20190726. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1567\\n\\n\\n*
+ **CanESM5**\\n\\n License description: [data_licenses/CanESM5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CanESM5.txt).
+ Note: this dataset was previously licensed\\n under CC BY-SA 4.0, but was
+ relicensed as CC BY 4.0 in March, 2023.\\n\\n CMIP Citation:\\n\\n > Swart,
+ Neil Cameron; Cole, Jason N.S.; Kharin, Viatcheslav V.; Lazare, Mike; Scinocca,
+ John F.; Gillett, Nathan P.; Anstey, James; Arora, Vivek; Christian, James
+ R.; Jiao, Yanjun; Lee, Warren G.; Majaess, Fouad; Saenko, Oleg A.; Seiler,
+ Christian; Seinen, Clint; Shao, Andrew; Solheim, Larry; von Salzen, Knut;
+ Yang, Duo; Winter, Barbara; Sigmond, Michael **(2019)**. *CCCma CanESM5 model
+ output prepared for CMIP6 CMIP*. Version 20190429. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.1303\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Swart, Neil Cameron; Cole, Jason N.S.; Kharin, Viatcheslav V.; Lazare,
+ Mike; Scinocca, John F.; Gillett, Nathan P.; Anstey, James; Arora, Vivek;
+ Christian, James R.; Jiao, Yanjun; Lee, Warren G.; Majaess, Fouad; Saenko,
+ Oleg A.; Seiler, Christian; Seinen, Clint; Shao, Andrew; Solheim, Larry; von
+ Salzen, Knut; Yang, Duo; Winter, Barbara; Sigmond, Michael **(2019)**. *CCCma
+ CanESM5 model output prepared for CMIP6 ScenarioMIP*. Version 20190429. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1317\\n\\n## Acknowledgements\\n\\nThis
+ work is the result of many years worth of work by members of the [Climate
+ Impact Lab](https://impactlab.org), but would not have been possible without
+ many contributions from across the wider scientific and computing communities.\\n\\nSpecifically,
+ we would like to acknowledge the World Climate Research Programme's Working
+ Group on Coupled Modeling, which is responsible for CMIP, and we would like
+ to thank the climate modeling groups for producing and making their model
+ output available. We would particularly like to thank the modeling institutions
+ whose results are included as an input to this repository (listed above) for
+ their contributions to the CMIP6 project and for responding to and granting
+ our requests for license waivers.\\n\\nWe would also like to thank Lamont-Doherty
+ Earth Observatory, the [Pangeo Consortium](https://github.com/pangeo-data)
+ (and especially the [ESGF Cloud Data Working Group](https://pangeo-data.github.io/pangeo-cmip6-cloud/#))
+ and Google Cloud and the Google Public Datasets program for making the [CMIP6
+ Google Cloud collection](https://console.cloud.google.com/marketplace/details/noaa-public/cmip6)
+ possible. In particular we're extremely grateful to [Ryan Abernathey](https://github.com/rabernat),
+ [Naomi Henderson](https://github.com/naomi-henderson), [Charles Blackmon-Luca](https://github.com/charlesbluca),
+ [Aparna Radhakrishnan](https://github.com/aradhakrishnanGFDL), [Julius Busecke](https://github.com/jbusecke),
+ and [Charles Stern](https://github.com/cisaacstern) for the huge amount of
+ work they've done to translate the ESGF CMIP6 netCDF archives into consistently-formattted,
+ analysis-ready zarr stores on Google Cloud.\\n\\nWe're also grateful to the
+ [xclim developers](https://github.com/Ouranosinc/xclim/graphs/contributors)
+ ([DOI: 10.5281/zenodo.2795043](https://doi.org/10.5281/zenodo.2795043)), in
+ particular [Pascal Bourgault](https://github.com/aulemahal), [David Huard](https://github.com/huard),
+ and [Travis Logan](https://github.com/tlogan2000), for implementing the QDM
+ bias correction method in the xclim python package, supporting our QPLAD implementation
+ into the package, and ongoing support in integrating dask into downscaling
+ workflows. For method advice and useful conversations, we would like to thank
+ Keith Dixon, Dennis Adams-Smith, and [Joe Hamman](https://github.com/jhamman).\\n\\n##
+ Financial support\\n\\nThis research has been supported by The Rockefeller
+ Foundation and the Microsoft AI for Earth Initiative.\\n\\n## Additional links:\\n\\n*
+ CIL GDPCIR project homepage: [github.com/ClimateImpactLab/downscaleCMIP6](https://github.com/ClimateImpactLab/downscaleCMIP6)\\n*
+ Project listing on zenodo: https://doi.org/10.5281/zenodo.6403794\\n* Climate
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+ World Climate Research Programme's [6th Coupled Model Intercomparison Project
+ (CMIP6)](https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6) represents an
+ enormous advance in the quality, detail, and scope of climate modeling.\\n\\nThe
+ [Global Downscaled Projections for Climate Impacts Research](https://github.com/ClimateImpactLab/downscaleCMIP6)
+ dataset makes this modeling more applicable to understanding the impacts of
+ changes in the climate on humans and society with two key developments: trend-preserving
+ bias correction and downscaling. In this dataset, the [Climate Impact Lab](https://impactlab.org)
+ provides global, daily minimum and maximum air temperature at the surface
+ (`tasmin` and `tasmax`) and daily cumulative surface precipitation (`pr`)
+ corresponding to the CMIP6 historical, ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5
+ scenarios for 25 global climate models on a 1/4-degree regular global grid.\\n\\n##
+ Accessing the data\\n\\nGDPCIR data can be accessed on the Microsoft Planetary
+ Computer. The dataset is made of of three collections, distinguished by data
+ license:\\n* [Public domain (CC0-1.0) collection](https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc0)\\n*
+ [Attribution (CC BY 4.0) collection](https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by)\\n\\nEach
+ modeling center with bias corrected and downscaled data in this collection
+ falls into one of these license categories - see the [table below](/dataset/cil-gdpcir-cc-by#available-institutions-models-and-scenarios-by-license-collection)
+ to see which model is in each collection, and see the section below on [Citing,
+ Licensing, and using data produced by this project](/dataset/cil-gdpcir-cc-by#citing-licensing-and-using-data-produced-by-this-project)
+ for citations and additional information about each license.\\n\\n## Data
+ format & contents\\n\\nThe data is stored as partitioned zarr stores (see
+ [https://zarr.readthedocs.io](https://zarr.readthedocs.io)), each of which
+ includes thousands of data and metadata files covering the full time span
+ of the experiment. Historical zarr stores contain just over 50 GB, while SSP
+ zarr stores contain nearly 70GB. Each store is stored as a 32-bit float, with
+ dimensions time (daily datetime), lat (float latitude), and lon (float longitude).
+ The data is chunked at each interval of 365 days and 90 degree interval of
+ latitude and longitude. Therefore, each chunk is `(365, 360, 360)`, with each
+ chunk occupying approximately 180MB in memory.\\n\\nHistorical data is daily,
+ excluding leap days, from Jan 1, 1950 to Dec 31, 2014; SSP data is daily,
+ excluding leap days, from Jan 1, 2015 to either Dec 31, 2099 or Dec 31, 2100,
+ depending on data availability in the source GCM.\\n\\nThe spatial domain
+ covers all 0.25-degree grid cells, indexed by the grid center, with grid edges
+ on the quarter-degree, using a -180 to 180 longitude convention. Thus, the
+ \u201Clon\u201D coordinate extends from -179.875 to 179.875, and the \u201Clat\u201D
+ coordinate extends from -89.875 to 89.875, with intermediate values at each
+ 0.25-degree increment between (e.g. -179.875, -179.625, -179.375, etc).\\n\\n##
+ Available institutions, models, and scenarios by license collection\\n\\n|
+ Modeling institution | Source model | Available experiments
+ \ | License collection |\\n| -------------------- | -----------------
+ | ------------------------------------------ | ---------------------- |\\n|
+ CAS | FGOALS-g3 [^1] | SSP2-4.5, SSP3-7.0, and SSP5-8.5
+ \ | Public domain datasets |\\n| INM | INM-CM4-8
+ \ | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | Public domain datasets
+ |\\n| INM | INM-CM5-0 | SSP1-2.6, SSP2-4.5, SSP3-7.0,
+ and SSP5-8.5 | Public domain datasets |\\n| BCC | BCC-CSM2-MR
+ \ | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n|
+ CMCC | CMCC-CM2-SR5 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5
+ \ | CC-BY-40 |\\n| CMCC | CMCC-ESM2 |
+ ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-40 |\\n|
+ CSIRO-ARCCSS | ACCESS-CM2 | SSP2-4.5 and SSP3-7.0 |
+ CC-BY-40 |\\n| CSIRO | ACCESS-ESM1-5 | SSP1-2.6,
+ SSP2-4.5, and SSP3-7.0 | CC-BY-40 |\\n| MIROC |
+ MIROC-ES2L | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40
+ \ |\\n| MIROC | MIROC6 | SSP1-2.6,
+ SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| MOHC |
+ HadGEM3-GC31-LL | SSP1-2.6, SSP2-4.5, and SSP5-8.5 | CC-BY-40
+ \ |\\n| MOHC | UKESM1-0-LL | SSP1-2.6,
+ SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| MPI-M |
+ MPI-ESM1-2-LR | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40
+ \ |\\n| MPI-M/DKRZ [^2] | MPI-ESM1-2-HR | SSP1-2.6 and
+ SSP5-8.5 | CC-BY-40 |\\n| NCC |
+ NorESM2-LM | SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40
+ \ |\\n| NCC | NorESM2-MM | SSP1-2.6,
+ SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| NOAA-GFDL
+ \ | GFDL-CM4 | SSP2-4.5 and SSP5-8.5 |
+ CC-BY-40 |\\n| NOAA-GFDL | GFDL-ESM4 | SSP1-2.6,
+ SSP2-4.5, SSP3-7.0, and SSP5-8.5 | CC-BY-40 |\\n| NUIST |
+ NESM3 | SSP1-2.6, SSP2-4.5, and SSP5-8.5 | CC-BY-40
+ \ |\\n| EC-Earth-Consortium | EC-Earth3 | ssp1-2.6,
+ ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40 |\\n| EC-Earth-Consortium
+ \ | EC-Earth3-AerChem | ssp370 | CC-BY-40
+ \ |\\n| EC-Earth-Consortium | EC-Earth3-CC | ssp245 and
+ ssp585 | CC-BY-40 |\\n| EC-Earth-Consortium
+ \ | EC-Earth3-Veg | ssp1-2.6, ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40
+ \ |\\n| EC-Earth-Consortium | EC-Earth3-Veg-LR | ssp1-2.6,
+ ssp2-4.5, ssp3-7.0, and ssp5-8.5 | CC-BY-40 |\\n| CCCma |
+ CanESM5 | ssp1-2.6, ssp2-4.5, ssp3-7.0, ssp5-8.5 | CC-BY-40[^3]
+ \ |\\n\\n*Notes:*\\n\\n[^1]: At the time of running, no ssp1-2.6
+ precipitation data was available. Therefore, we provide `tasmin` and `tamax`
+ for this model and experiment, but not `pr`. All other model/experiment combinations
+ in the above table include all three variables.\\n\\n[^2]: The institution
+ which ran MPI-ESM1-2-HR\u2019s historical (CMIP) simulations is `MPI-M`, while
+ the future (ScenarioMIP) simulations were run by `DKRZ`. Therefore, the institution
+ component of `MPI-ESM1-2-HR` filepaths differ between `historical` and `SSP`
+ scenarios.\\n\\n[^3]: This dataset was previously licensed as [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/),
+ but was relicensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0)
+ in March, 2023. \\n\\n## Project methods\\n\\nThis project makes use of statistical
+ bias correction and downscaling algorithms, which are specifically designed
+ to accurately represent changes in the extremes. For this reason, we selected
+ Quantile Delta Mapping (QDM), following the method introduced by [Cannon et
+ al. (2015)](https://doi.org/10.1175/JCLI-D-14-00754.1), which preserves quantile-specific
+ trends from the GCM while fitting the full distribution for a given day-of-year
+ to a reference dataset (ERA5).\\n\\nWe then introduce a similar method tailored
+ to increase spatial resolution while preserving extreme behavior, Quantile-Preserving
+ Localized-Analog Downscaling (QPLAD).\\n\\nTogether, these methods provide
+ a robust means to handle both the central and tail behavior seen in climate
+ model output, while aligning the full distribution to a state-of-the-art reanalysis
+ dataset and providing the spatial granularity needed to study surface impacts.\\n\\nFor
+ further documentation, see [Global downscaled projections for climate impacts
+ research (GDPCIR): preserving extremes for modeling future climate impacts](https://egusphere.copernicus.org/preprints/2023/egusphere-2022-1513/)
+ (EGUsphere, 2022 [preprint]).\\n\\n## Citing, licensing, and using data produced
+ by this project\\n\\nProjects making use of the data produced as part of the
+ Climate Impact Lab Global Downscaled Projections for Climate Impacts Research
+ (CIL GDPCIR) project are requested to cite both this project and the source
+ datasets from which these results are derived. Additionally, the use of data
+ derived from some GCMs *requires* citations, and some modeling centers impose
+ licensing restrictions & requirements on derived works. See each GCM's license
+ info in the links below for more information.\\n\\n### CIL GDPCIR\\n\\nUsers
+ are requested to cite this project in derived works. Our method documentation
+ paper may be cited using the following:\\n\\n> Gergel, D. R., Malevich, S.
+ B., McCusker, K. E., Tenezakis, E., Delgado, M. T., Fish, M. A., and Kopp,
+ R. E.: Global downscaled projections for climate impacts research (GDPCIR):
+ preserving extremes for modeling future climate impacts, EGUsphere [preprint],
+ https://doi.org/10.5194/egusphere-2022-1513, 2023. \\n\\nThe code repository
+ may be cited using the following:\\n\\n> Diana Gergel, Kelly McCusker, Brewster
+ Malevich, Emile Tenezakis, Meredith Fish, Michael Delgado (2022). ClimateImpactLab/downscaleCMIP6:
+ (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.6403794\\n\\n### ERA5\\n\\nAdditionally,
+ we request you cite the historical dataset used in bias correction and downscaling,
+ ERA5. See the [ECMWF guide to citing a dataset on the Climate Data Store](https://confluence.ecmwf.int/display/CKB/How+to+acknowledge+and+cite+a+Climate+Data+Store+%28CDS%29+catalogue+entry+and+the+data+published+as+part+of+it):\\n\\n>
+ Hersbach, H, et al. The ERA5 global reanalysis. Q J R Meteorol Soc.2020; 146:
+ 1999\u20132049. DOI: [10.1002/qj.3803](https://doi.org/10.1002/qj.3803)\\n>\\n>
+ Mu\xF1oz Sabater, J., (2019): ERA5-Land hourly data from 1981 to present.
+ Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed
+ on June 4, 2021), DOI: [10.24381/cds.e2161bac](https://doi.org/10.24381/cds.e2161bac)\\n>\\n>
+ Mu\xF1oz Sabater, J., (2021): ERA5-Land hourly data from 1950 to 1980. Copernicus
+ Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on June 4,
+ 2021), DOI: [10.24381/cds.e2161bac](https://doi.org/10.24381/cds.e2161bac)\\n\\n###
+ GCM-specific citations & licenses\\n\\nThe CMIP6 simulation data made available
+ through the Earth System Grid Federation (ESGF) are subject to Creative Commons
+ [BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) or [BY-NC-SA
+ 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) licenses. The Climate
+ Impact Lab has reached out to each of the modeling institutions to request
+ waivers from these terms so the outputs of this project may be used with fewer
+ restrictions, and has been granted permission to release the data using the
+ licenses listed here.\\n\\n#### Public Domain Datasets\\n\\nThe following
+ bias corrected and downscaled model simulations are available in the public
+ domain using a [CC0 1.0 Universal Public Domain Declaration](https://creativecommons.org/publicdomain/zero/1.0/).
+ Access the collection on Planetary Computer at https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc0.\\n\\n*
+ **FGOALS-g3**\\n\\n License description: [data_licenses/FGOALS-g3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/FGOALS-g3.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Li, Lijuan **(2019)**. *CAS FGOALS-g3 model output
+ prepared for CMIP6 CMIP*. Version 20190826. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.1783\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Li, Lijuan **(2019)**. *CAS FGOALS-g3 model output prepared for CMIP6
+ ScenarioMIP*. SSP1-2.6 version 20190818; SSP2-4.5 version 20190818; SSP3-7.0
+ version 20190820; SSP5-8.5 tasmax version 20190819; SSP5-8.5 tasmin version
+ 20190819; SSP5-8.5 pr version 20190818. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2056\\n\\n\\n*
+ **INM-CM4-8**\\n\\n License description: [data_licenses/INM-CM4-8.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/INM-CM4-8.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey;
+ Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin,
+ Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**.
+ *INM INM-CM4-8 model output prepared for CMIP6 CMIP*. Version 20190530. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1422\\n\\n ScenarioMIP
+ Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov,
+ Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey;
+ Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM4-8
+ model output prepared for CMIP6 ScenarioMIP*. Version 20190603. Earth System
+ Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.12321\\n\\n\\n* **INM-CM5-0**\\n\\n
+ \ License description: [data_licenses/INM-CM5-0.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/INM-CM5-0.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey;
+ Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin,
+ Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**.
+ *INM INM-CM5-0 model output prepared for CMIP6 CMIP*. Version 20190610. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1423\\n\\n ScenarioMIP
+ Citation:\\n\\n > Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov,
+ Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey;
+ Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana **(2019)**. *INM INM-CM5-0
+ model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20190619; SSP2-4.5
+ version 20190619; SSP3-7.0 version 20190618; SSP5-8.5 version 20190724. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.12322\\n\\n\\n####
+ CC-BY-4.0\\n\\nThe following bias corrected and downscaled model simulations
+ are licensed under a [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).
+ Note that this license requires citation of the source model output (included
+ here). Please see https://creativecommons.org/licenses/by/4.0/ for more information.
+ Access the collection on Planetary Computer at https://planetarycomputer.microsoft.com/dataset/cil-gdpcir-cc-by.\\n\\n*
+ **ACCESS-CM2**\\n\\n License description: [data_licenses/ACCESS-CM2.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/ACCESS-CM2.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Dix, Martin; Bi, Doahua; Dobrohotoff, Peter; Fiedler,
+ Russell; Harman, Ian; Law, Rachel; Mackallah, Chloe; Marsland, Simon; O'Farrell,
+ Siobhan; Rashid, Harun; Srbinovsky, Jhan; Sullivan, Arnold; Trenham, Claire;
+ Vohralik, Peter; Watterson, Ian; Williams, Gareth; Woodhouse, Matthew; Bodman,
+ Roger; Dias, Fabio Boeira; Domingues, Catia; Hannah, Nicholas; Heerdegen,
+ Aidan; Savita, Abhishek; Wales, Scott; Allen, Chris; Druken, Kelsey; Evans,
+ Ben; Richards, Clare; Ridzwan, Syazwan Mohamed; Roberts, Dale; Smillie, Jon;
+ Snow, Kate; Ward, Marshall; Yang, Rui **(2019)**. *CSIRO-ARCCSS ACCESS-CM2
+ model output prepared for CMIP6 CMIP*. Version 20191108. Earth System Grid
+ Federation. https://doi.org/10.22033/ESGF/CMIP6.2281\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Dix, Martin; Bi, Doahua; Dobrohotoff, Peter; Fiedler, Russell; Harman,
+ Ian; Law, Rachel; Mackallah, Chloe; Marsland, Simon; O'Farrell, Siobhan; Rashid,
+ Harun; Srbinovsky, Jhan; Sullivan, Arnold; Trenham, Claire; Vohralik, Peter;
+ Watterson, Ian; Williams, Gareth; Woodhouse, Matthew; Bodman, Roger; Dias,
+ Fabio Boeira; Domingues, Catia; Hannah, Nicholas; Heerdegen, Aidan; Savita,
+ Abhishek; Wales, Scott; Allen, Chris; Druken, Kelsey; Evans, Ben; Richards,
+ Clare; Ridzwan, Syazwan Mohamed; Roberts, Dale; Smillie, Jon; Snow, Kate;
+ Ward, Marshall; Yang, Rui **(2019)**. *CSIRO-ARCCSS ACCESS-CM2 model output
+ prepared for CMIP6 ScenarioMIP*. Version 20191108. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.2285\\n\\n\\n* **ACCESS-ESM1-5**\\n\\n
+ \ License description: [data_licenses/ACCESS-ESM1-5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/ACCESS-ESM1-5.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Ziehn, Tilo; Chamberlain, Matthew; Lenton, Andrew;
+ Law, Rachel; Bodman, Roger; Dix, Martin; Wang, Yingping; Dobrohotoff, Peter;
+ Srbinovsky, Jhan; Stevens, Lauren; Vohralik, Peter; Mackallah, Chloe; Sullivan,
+ Arnold; O'Farrell, Siobhan; Druken, Kelsey **(2019)**. *CSIRO ACCESS-ESM1.5
+ model output prepared for CMIP6 CMIP*. Version 20191115. Earth System Grid
+ Federation. https://doi.org/10.22033/ESGF/CMIP6.2288\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Ziehn, Tilo; Chamberlain, Matthew; Lenton, Andrew; Law, Rachel; Bodman,
+ Roger; Dix, Martin; Wang, Yingping; Dobrohotoff, Peter; Srbinovsky, Jhan;
+ Stevens, Lauren; Vohralik, Peter; Mackallah, Chloe; Sullivan, Arnold; O'Farrell,
+ Siobhan; Druken, Kelsey **(2019)**. *CSIRO ACCESS-ESM1.5 model output prepared
+ for CMIP6 ScenarioMIP*. Version 20191115. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2291\\n\\n\\n*
+ **BCC-CSM2-MR**\\n\\n License description: [data_licenses/BCC-CSM2-MR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/BCC-CSM2-MR.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Xin, Xiaoge; Zhang, Jie; Zhang, Fang; Wu, Tongwen;
+ Shi, Xueli; Li, Jianglong; Chu, Min; Liu, Qianxia; Yan, Jinghui; Ma, Qiang;
+ Wei, Min **(2018)**. *BCC BCC-CSM2MR model output prepared for CMIP6 CMIP*.
+ Version 20181126. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1725\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > Xin, Xiaoge; Wu, Tongwen; Shi, Xueli; Zhang,
+ Fang; Li, Jianglong; Chu, Min; Liu, Qianxia; Yan, Jinghui; Ma, Qiang; Wei,
+ Min **(2019)**. *BCC BCC-CSM2MR model output prepared for CMIP6 ScenarioMIP*.
+ SSP1-2.6 version 20190315; SSP2-4.5 version 20190318; SSP3-7.0 version 20190318;
+ SSP5-8.5 version 20190318. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1732\\n\\n\\n*
+ **CMCC-CM2-SR5**\\n\\n License description: [data_licenses/CMCC-CM2-SR5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CMCC-CM2-SR5.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele **(2020)**. *CMCC
+ CMCC-CM2-SR5 model output prepared for CMIP6 CMIP*. Version 20200616. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1362\\n\\n ScenarioMIP
+ Citation:\\n\\n > Lovato, Tomas; Peano, Daniele **(2020)**. *CMCC CMCC-CM2-SR5
+ model output prepared for CMIP6 ScenarioMIP*. SSP1-2.6 version 20200717; SSP2-4.5
+ version 20200617; SSP3-7.0 version 20200622; SSP5-8.5 version 20200622. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1365\\n\\n\\n*
+ **CMCC-ESM2**\\n\\n License description: [data_licenses/CMCC-ESM2.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CMCC-ESM2.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele; Butensch\xF6n, Momme
+ **(2021)**. *CMCC CMCC-ESM2 model output prepared for CMIP6 CMIP*. Version
+ 20210114. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.13164\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > Lovato, Tomas; Peano, Daniele; Butensch\xF6n,
+ Momme **(2021)**. *CMCC CMCC-ESM2 model output prepared for CMIP6 ScenarioMIP*.
+ SSP1-2.6 version 20210126; SSP2-4.5 version 20210129; SSP3-7.0 version 20210202;
+ SSP5-8.5 version 20210126. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.13168\\n\\n\\n*
+ **EC-Earth3-AerChem**\\n\\n License description: [data_licenses/EC-Earth3-AerChem.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-AerChem.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium
+ EC-Earth3-AerChem model output prepared for CMIP6 CMIP*. Version 20200624.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.639\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**.
+ *EC-Earth-Consortium EC-Earth3-AerChem model output prepared for CMIP6 ScenarioMIP*.
+ Version 20200827. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.724\\n\\n\\n*
+ **EC-Earth3-CC**\\n\\n License description: [data_licenses/EC-Earth3-CC.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-CC.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium
+ EC-Earth-3-CC model output prepared for CMIP6 CMIP*. Version 20210113. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.640\\n\\n ScenarioMIP
+ Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2021)**. *EC-Earth-Consortium
+ EC-Earth3-CC model output prepared for CMIP6 ScenarioMIP*. Version 20210113.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.15327\\n\\n\\n*
+ **EC-Earth3-Veg-LR**\\n\\n License description: [data_licenses/EC-Earth3-Veg-LR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-Veg-LR.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**. *EC-Earth-Consortium
+ EC-Earth3-Veg-LR model output prepared for CMIP6 CMIP*. Version 20200217.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.643\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2020)**.
+ *EC-Earth-Consortium EC-Earth3-Veg-LR model output prepared for CMIP6 ScenarioMIP*.
+ SSP1-2.6 version 20201201; SSP2-4.5 version 20201123; SSP3-7.0 version 20201123;
+ SSP5-8.5 version 20201201. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.728\\n\\n\\n*
+ **EC-Earth3-Veg**\\n\\n License description: [data_licenses/EC-Earth3-Veg.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3-Veg.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium
+ EC-Earth3-Veg model output prepared for CMIP6 CMIP*. Version 20200225. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.642\\n\\n ScenarioMIP
+ Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium
+ EC-Earth3-Veg model output prepared for CMIP6 ScenarioMIP*. Version 20200225.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.727\\n\\n\\n*
+ **EC-Earth3**\\n\\n License description: [data_licenses/EC-Earth3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/EC-Earth3.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium
+ EC-Earth3 model output prepared for CMIP6 CMIP*. Version 20200310. Earth System
+ Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.181\\n\\n ScenarioMIP
+ Citation:\\n\\n > EC-Earth Consortium (EC-Earth) **(2019)**. *EC-Earth-Consortium
+ EC-Earth3 model output prepared for CMIP6 ScenarioMIP*. Version 20200310.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.251\\n\\n\\n*
+ **GFDL-CM4**\\n\\n License description: [data_licenses/GFDL-CM4.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/GFDL-CM4.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Guo, Huan; John, Jasmin G; Blanton, Chris; McHugh,
+ Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh,
+ Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond;
+ Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Bushuk, Mitchell; Dunne,
+ Krista A.; Dussin, Raphael; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen
+ M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Lin, Pu; Malyshev,
+ Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey;
+ Reichl, Brandon G; Schwarzkopf, Daniel M; Seman, Charles J; Shao, Andrew;
+ Silvers, Levi; Wyman, Bruce; Yan, Xiaoqin; Zeng, Yujin; Adcroft, Alistair;
+ Dunne, John P.; Held, Isaac M; Krasting, John P.; Horowitz, Larry W.; Milly,
+ P.C.D; Shevliakova, Elena; Winton, Michael; Zhao, Ming; Zhang, Rong **(2018)**.
+ *NOAA-GFDL GFDL-CM4 model output*. Version 20180701. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.1402\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Guo, Huan; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei;
+ Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta,
+ Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth;
+ Vahlenkamp, Hans; Dunne, Krista A.; Gauthier, Paul PG; Ginoux, Paul; Griffies,
+ Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Lin, Pu;
+ Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay,
+ Jeffrey; Schwarzkopf, Daniel M; Seman, Charles J; Shao, Andrew; Silvers, Levi;
+ Wyman, Bruce; Yan, Xiaoqin; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.;
+ Held, Isaac M; Krasting, John P.; Horowitz, Larry W.; Milly, Chris; Shevliakova,
+ Elena; Winton, Michael; Zhao, Ming; Zhang, Rong **(2018)**. *NOAA-GFDL GFDL-CM4
+ model output prepared for CMIP6 ScenarioMIP*. Version 20180701. Earth System
+ Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.9242\\n\\n\\n* **GFDL-ESM4**\\n\\n
+ \ License description: [data_licenses/GFDL-ESM4.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/GFDL-ESM4.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Krasting, John P.; John, Jasmin G; Blanton, Chris;
+ McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher;
+ Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond;
+ Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Dunne, Krista A.; Gauthier,
+ Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew;
+ Hurlin, William; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter,
+ David J; Ploshay, Jeffrey; Reichl, Brandon G; Schwarzkopf, Daniel M; Seman,
+ Charles J; Silvers, Levi; Wyman, Bruce; Zeng, Yujin; Adcroft, Alistair; Dunne,
+ John P.; Dussin, Raphael; Guo, Huan; He, Jian; Held, Isaac M; Horowitz, Larry
+ W.; Lin, Pu; Milly, P.C.D; Shevliakova, Elena; Stock, Charles; Winton, Michael;
+ Wittenberg, Andrew T.; Xie, Yuanyu; Zhao, Ming **(2018)**. *NOAA-GFDL GFDL-ESM4
+ model output prepared for CMIP6 CMIP*. Version 20190726. Earth System Grid
+ Federation. https://doi.org/10.22033/ESGF/CMIP6.1407\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > John, Jasmin G; Blanton, Chris; McHugh, Colleen; Radhakrishnan, Aparna;
+ Rand, Kristopher; Vahlenkamp, Hans; Wilson, Chandin; Zadeh, Niki T.; Dunne,
+ John P.; Dussin, Raphael; Horowitz, Larry W.; Krasting, John P.; Lin, Pu;
+ Malyshev, Sergey; Naik, Vaishali; Ploshay, Jeffrey; Shevliakova, Elena; Silvers,
+ Levi; Stock, Charles; Winton, Michael; Zeng, Yujin **(2018)**. *NOAA-GFDL
+ GFDL-ESM4 model output prepared for CMIP6 ScenarioMIP*. Version 20180701.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1414\\n\\n\\n*
+ **HadGEM3-GC31-LL**\\n\\n License description: [data_licenses/HadGEM3-GC31-LL.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/HadGEM3-GC31-LL.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Ridley, Jeff; Menary, Matthew; Kuhlbrodt, Till;
+ Andrews, Martin; Andrews, Tim **(2018)**. *MOHC HadGEM3-GC31-LL model output
+ prepared for CMIP6 CMIP*. Version 20190624. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.419\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Good, Peter **(2019)**. *MOHC HadGEM3-GC31-LL model output prepared for
+ CMIP6 ScenarioMIP*. SSP1-2.6 version 20200114; SSP2-4.5 version 20190908;
+ SSP5-8.5 version 20200114. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.10845\\n\\n\\n*
+ **MIROC-ES2L**\\n\\n License description: [data_licenses/MIROC-ES2L.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MIROC-ES2L.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Hajima, Tomohiro; Abe, Manabu; Arakawa, Osamu; Suzuki,
+ Tatsuo; Komuro, Yoshiki; Ogura, Tomoo; Ogochi, Koji; Watanabe, Michio; Yamamoto,
+ Akitomo; Tatebe, Hiroaki; Noguchi, Maki A.; Ohgaito, Rumi; Ito, Akinori; Yamazaki,
+ Dai; Ito, Akihiko; Takata, Kumiko; Watanabe, Shingo; Kawamiya, Michio; Tachiiri,
+ Kaoru **(2019)**. *MIROC MIROC-ES2L model output prepared for CMIP6 CMIP*.
+ Version 20191129. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.902\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > Tachiiri, Kaoru; Abe, Manabu; Hajima, Tomohiro;
+ Arakawa, Osamu; Suzuki, Tatsuo; Komuro, Yoshiki; Ogochi, Koji; Watanabe, Michio;
+ Yamamoto, Akitomo; Tatebe, Hiroaki; Noguchi, Maki A.; Ohgaito, Rumi; Ito,
+ Akinori; Yamazaki, Dai; Ito, Akihiko; Takata, Kumiko; Watanabe, Shingo; Kawamiya,
+ Michio **(2019)**. *MIROC MIROC-ES2L model output prepared for CMIP6 ScenarioMIP*.
+ Version 20200318. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.936\\n\\n\\n*
+ **MIROC6**\\n\\n License description: [data_licenses/MIROC6.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MIROC6.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Tatebe, Hiroaki; Watanabe, Masahiro **(2018)**.
+ *MIROC MIROC6 model output prepared for CMIP6 CMIP*. Version 20191016. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.881\\n\\n ScenarioMIP
+ Citation:\\n\\n > Shiogama, Hideo; Abe, Manabu; Tatebe, Hiroaki **(2019)**.
+ *MIROC MIROC6 model output prepared for CMIP6 ScenarioMIP*. Version 20191016.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.898\\n\\n\\n*
+ **MPI-ESM1-2-HR**\\n\\n License description: [data_licenses/MPI-ESM1-2-HR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MPI-ESM1-2-HR.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Jungclaus, Johann; Bittner, Matthias; Wieners, Karl-Hermann;
+ Wachsmann, Fabian; Schupfner, Martin; Legutke, Stephanie; Giorgetta, Marco;
+ Reick, Christian; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz,
+ Thomas; Esch, Monika; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens,
+ J\xF6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina;
+ Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster,
+ Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem;
+ Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao;
+ M\xFCller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten;
+ Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt,
+ Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt,
+ Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-HR model output prepared
+ for CMIP6 CMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.741\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > Schupfner, Martin; Wieners, Karl-Hermann;
+ Wachsmann, Fabian; Steger, Christian; Bittner, Matthias; Jungclaus, Johann;
+ Fr\xFCh, Barbara; Pankatz, Klaus; Giorgetta, Marco; Reick, Christian; Legutke,
+ Stephanie; Esch, Monika; Gayler, Veronika; Haak, Helmuth; de Vrese, Philipp;
+ Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song; Behrens, J\xF6rg;
+ Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast, Irina; Fiedler,
+ Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas; Kloster, Silvia;
+ Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela;
+ Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; M\xFCller, Wolfgang;
+ Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten; Pincus, Robert; Pohlmann,
+ Holger; Pongratz, Julia; Rast, Sebastian; Schmidt, Hauke; Schnur, Reiner;
+ Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich
+ **(2019)**. *DKRZ MPI-ESM1.2-HR model output prepared for CMIP6 ScenarioMIP*.
+ Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2450\\n\\n\\n*
+ **MPI-ESM1-2-LR**\\n\\n License description: [data_licenses/MPI-ESM1-2-LR.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/MPI-ESM1-2-LR.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Wieners, Karl-Hermann; Giorgetta, Marco; Jungclaus,
+ Johann; Reick, Christian; Esch, Monika; Bittner, Matthias; Legutke, Stephanie;
+ Schupfner, Martin; Wachsmann, Fabian; Gayler, Veronika; Haak, Helmuth; de
+ Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten; von Storch, Jin-Song;
+ Behrens, J\xF6rg; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Fast,
+ Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger, Cathy; Jahns, Thomas;
+ Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh, Luis; Marotzke,
+ Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao;
+ M\xFCller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von Gehlen, Karsten;
+ Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast, Sebastian; Schmidt,
+ Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina; Stevens, Bjorn; Voigt,
+ Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-LR model output prepared
+ for CMIP6 CMIP*. Version 20190710. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.742\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > Wieners, Karl-Hermann; Giorgetta, Marco;
+ Jungclaus, Johann; Reick, Christian; Esch, Monika; Bittner, Matthias; Gayler,
+ Veronika; Haak, Helmuth; de Vrese, Philipp; Raddatz, Thomas; Mauritsen, Thorsten;
+ von Storch, Jin-Song; Behrens, J\xF6rg; Brovkin, Victor; Claussen, Martin;
+ Crueger, Traute; Fast, Irina; Fiedler, Stephanie; Hagemann, Stefan; Hohenegger,
+ Cathy; Jahns, Thomas; Kloster, Silvia; Kinne, Stefan; Lasslop, Gitta; Kornblueh,
+ Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz,
+ Uwe; Modali, Kameswarrao; M\xFCller, Wolfgang; Nabel, Julia; Notz, Dirk; Peters-von
+ Gehlen, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Rast,
+ Sebastian; Schmidt, Hauke; Schnur, Reiner; Schulzweida, Uwe; Six, Katharina;
+ Stevens, Bjorn; Voigt, Aiko; Roeckner, Erich **(2019)**. *MPI-M MPIESM1.2-LR
+ model output prepared for CMIP6 ScenarioMIP*. Version 20190710. Earth System
+ Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.793\\n\\n\\n* **NESM3**\\n\\n
+ \ License description: [data_licenses/NESM3.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NESM3.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Cao, Jian; Wang, Bin **(2019)**. *NUIST NESMv3 model
+ output prepared for CMIP6 CMIP*. Version 20190812. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.2021\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Cao, Jian **(2019)**. *NUIST NESMv3 model output prepared for CMIP6 ScenarioMIP*.
+ SSP1-2.6 version 20190806; SSP2-4.5 version 20190805; SSP5-8.5 version 20190811.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2027\\n\\n\\n*
+ **NorESM2-LM**\\n\\n License description: [data_licenses/NorESM2-LM.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NorESM2-LM.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Seland, \xD8yvind; Bentsen, Mats; Olivi\xE8, Dirk
+ Jan Leo; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard,
+ Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\xE5g, Alf; Schwinger,
+ J\xF6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao;
+ Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger
+ Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum;
+ Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze,
+ Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-LM model
+ output prepared for CMIP6 CMIP*. Version 20190815. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.502\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Seland, \xD8yvind; Bentsen, Mats; Olivi\xE8, Dirk Jan Leo; Toniazzo, Thomas;
+ Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok
+ Kumar; He, Yanchun; Kirkev\xE5g, Alf; Schwinger, J\xF6rg; Tjiputra, Jerry;
+ Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini,
+ Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren,
+ Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger,
+ Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz,
+ Michael **(2019)**. *NCC NorESM2-LM model output prepared for CMIP6 ScenarioMIP*.
+ Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.604\\n\\n\\n*
+ **NorESM2-MM**\\n\\n License description: [data_licenses/NorESM2-MM.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/NorESM2-MM.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Bentsen, Mats; Olivi\xE8, Dirk Jan Leo; Seland,
+ \xD8yvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard,
+ Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkev\xE5g, Alf; Schwinger,
+ J\xF6rg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao;
+ Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger
+ Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum;
+ Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze,
+ Christoph; Iversen, Trond; Schulz, Michael **(2019)**. *NCC NorESM2-MM model
+ output prepared for CMIP6 CMIP*. Version 20191108. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.506\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Bentsen, Mats; Olivi\xE8, Dirk Jan Leo; Seland, \xD8yvind; Toniazzo, Thomas;
+ Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok
+ Kumar; He, Yanchun; Kirkev\xE5g, Alf; Schwinger, J\xF6rg; Tjiputra, Jerry;
+ Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini,
+ Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren,
+ Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger,
+ Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz,
+ Michael **(2019)**. *NCC NorESM2-MM model output prepared for CMIP6 ScenarioMIP*.
+ Version 20191108. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.608\\n\\n\\n*
+ **UKESM1-0-LL**\\n\\n License description: [data_licenses/UKESM1-0-LL.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/UKESM1-0-LL.txt)\\n\\n
+ \ CMIP Citation:\\n\\n > Tang, Yongming; Rumbold, Steve; Ellis, Rich; Kelley,
+ Douglas; Mulcahy, Jane; Sellar, Alistair; Walton, Jeremy; Jones, Colin **(2019)**.
+ *MOHC UKESM1.0-LL model output prepared for CMIP6 CMIP*. Version 20190627.
+ Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1569\\n\\n
+ \ ScenarioMIP Citation:\\n\\n > Good, Peter; Sellar, Alistair; Tang, Yongming;
+ Rumbold, Steve; Ellis, Rich; Kelley, Douglas; Kuhlbrodt, Till; Walton, Jeremy
+ **(2019)**. *MOHC UKESM1.0-LL model output prepared for CMIP6 ScenarioMIP*.
+ SSP1-2.6 version 20190708; SSP2-4.5 version 20190715; SSP3-7.0 version 20190726;
+ SSP5-8.5 version 20190726. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1567\\n\\n*
+ **CanESM5**\\n\\n License description: [data_licenses/CanESM5.txt](https://raw.githubusercontent.com/ClimateImpactLab/downscaleCMIP6/master/data_licenses/CanESM5.txt).
+ Note: this dataset was previously licensed\\n under CC BY-SA 4.0, but was
+ relicensed as CC BY 4.0 in March, 2023.\\n\\n CMIP Citation:\\n\\n > Swart,
+ Neil Cameron; Cole, Jason N.S.; Kharin, Viatcheslav V.; Lazare, Mike; Scinocca,
+ John F.; Gillett, Nathan P.; Anstey, James; Arora, Vivek; Christian, James
+ R.; Jiao, Yanjun; Lee, Warren G.; Majaess, Fouad; Saenko, Oleg A.; Seiler,
+ Christian; Seinen, Clint; Shao, Andrew; Solheim, Larry; von Salzen, Knut;
+ Yang, Duo; Winter, Barbara; Sigmond, Michael **(2019)**. *CCCma CanESM5 model
+ output prepared for CMIP6 CMIP*. Version 20190429. Earth System Grid Federation.
+ https://doi.org/10.22033/ESGF/CMIP6.1303\\n\\n ScenarioMIP Citation:\\n\\n
+ \ > Swart, Neil Cameron; Cole, Jason N.S.; Kharin, Viatcheslav V.; Lazare,
+ Mike; Scinocca, John F.; Gillett, Nathan P.; Anstey, James; Arora, Vivek;
+ Christian, James R.; Jiao, Yanjun; Lee, Warren G.; Majaess, Fouad; Saenko,
+ Oleg A.; Seiler, Christian; Seinen, Clint; Shao, Andrew; Solheim, Larry; von
+ Salzen, Knut; Yang, Duo; Winter, Barbara; Sigmond, Michael **(2019)**. *CCCma
+ CanESM5 model output prepared for CMIP6 ScenarioMIP*. Version 20190429. Earth
+ System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1317\\n\\n## Acknowledgements\\n\\nThis
+ work is the result of many years worth of work by members of the [Climate
+ Impact Lab](https://impactlab.org), but would not have been possible without
+ many contributions from across the wider scientific and computing communities.\\n\\nSpecifically,
+ we would like to acknowledge the World Climate Research Programme's Working
+ Group on Coupled Modeling, which is responsible for CMIP, and we would like
+ to thank the climate modeling groups for producing and making their model
+ output available. We would particularly like to thank the modeling institutions
+ whose results are included as an input to this repository (listed above) for
+ their contributions to the CMIP6 project and for responding to and granting
+ our requests for license waivers.\\n\\nWe would also like to thank Lamont-Doherty
+ Earth Observatory, the [Pangeo Consortium](https://github.com/pangeo-data)
+ (and especially the [ESGF Cloud Data Working Group](https://pangeo-data.github.io/pangeo-cmip6-cloud/#))
+ and Google Cloud and the Google Public Datasets program for making the [CMIP6
+ Google Cloud collection](https://console.cloud.google.com/marketplace/details/noaa-public/cmip6)
+ possible. In particular we're extremely grateful to [Ryan Abernathey](https://github.com/rabernat),
+ [Naomi Henderson](https://github.com/naomi-henderson), [Charles Blackmon-Luca](https://github.com/charlesbluca),
+ [Aparna Radhakrishnan](https://github.com/aradhakrishnanGFDL), [Julius Busecke](https://github.com/jbusecke),
+ and [Charles Stern](https://github.com/cisaacstern) for the huge amount of
+ work they've done to translate the ESGF CMIP6 netCDF archives into consistently-formattted,
+ analysis-ready zarr stores on Google Cloud.\\n\\nWe're also grateful to the
+ [xclim developers](https://github.com/Ouranosinc/xclim/graphs/contributors)
+ ([DOI: 10.5281/zenodo.2795043](https://doi.org/10.5281/zenodo.2795043)), in
+ particular [Pascal Bourgault](https://github.com/aulemahal), [David Huard](https://github.com/huard),
+ and [Travis Logan](https://github.com/tlogan2000), for implementing the QDM
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+ CIL GDPCIR project homepage: [github.com/ClimateImpactLab/downscaleCMIP6](https://github.com/ClimateImpactLab/downscaleCMIP6)\\n*
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+ parameters at super-pixel (4.5 km x 4.5 km) resolution in a single NetCDF
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+ high cloud fraction data. The retrieved and derived aerosol parameters are:\n\n-
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+ More information about the product and data processing can be found in the
+ [User Guide](https://sentinels.copernicus.eu/web/sentinel/level-2-aod) and
+ [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-synergy/products-algorithms/level-2-aod-algorithms-and-products).\n\nThis
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+ Normalized Difference Vegetation Index (NDVI) composite, which is derived
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+ bands.\n\n## Data files\n\nThe four reflectance bands and NDVI values are
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+ and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-synergy/vgt-s/v10-product).\n\nThis
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+ collection provides Sentinel-3 Full Resolution [OLCI Level-2 Land][olci-l2]
+ products containing data on global vegetation, chlorophyll, and water vapor.\n\n##
+ Data files\n\nThis dataset includes data on three primary variables:\n\n*
+ OLCI global vegetation index file\n* terrestrial Chlorophyll index file\n*
+ integrated water vapor over water file.\n\nEach variable is contained within
+ a separate NetCDF file, and is cataloged as an asset in each Item.\n\nSeveral
+ associated variables are also provided in the annotations data files:\n\n*
+ rectified reflectance for red and NIR channels (RC681 and RC865)\n* classification,
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+ of land pixels, solar and satellite angles, atmospheric and meteorological
+ data, time stamp or instrument information. These variables are inherited
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+ of approximately 300 m.\n\n## Processing overview\n\nThe values in the data
+ files have been converted from Top of Atmosphere radiance to reflectance,
+ and include various corrections for gaseous absorption and pixel classification.
+ More information about the product and data processing can be found in the
+ [User Guide](https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-olci/product-types/level-2-land)
+ and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-olci/level-2/processing).\n\nThis
+ Collection contains Level-2 data in NetCDF files from April 2016 to present.\n\n[olci-l2]:
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+ and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-slstr/level-2/sst-processing).\n\nThis
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+ Maxar and Airbus imagery. The data is freely available for download and use
+ under ODbL. This dataset complements our other releases.\\n\\nFor more information,
+ see the [GlobalMLBuildingFootprints](https://github.com/microsoft/GlobalMLBuildingFootprints/)
+ repository on GitHub.\\n\\n## Building footprint creation\\n\\nThe building
+ extraction is done in two stages:\\n\\n1. Semantic Segmentation \u2013 Recognizing
+ building pixels on an aerial image using deep neural networks (DNNs)\\n2.
+ Polygonization \u2013 Converting building pixel detections into polygons\\n\\n**Stage
+ 1: Semantic Segmentation**\\n\\n\\n\\n**Stage
+ 2: Polygonization**\\n\\n\\n\\n##
+ Data assets\\n\\nThe building footprints are provided as a set of [geoparquet](https://github.com/opengeospatial/geoparquet)
+ datasets in [Delta][delta] table format.\\nThe data are partitioned by\\n\\n1.
+ Region\\n2. quadkey at [Bing Map Tiles][tiles] level 9\\n\\nEach `(Region,
+ quadkey)` pair will have one or more geoparquet files, depending on the density
+ of the of the buildings in that area.\\n\\nNote that older items in this dataset
+ are *not* spatially partitioned. We recommend using data with a processing
+ date\\nof 2023-04-25 or newer. This processing date is part of the URL for
+ each parquet file and is captured in the STAC metadata\\nfor each item (see
+ below).\\n\\n## Delta Format\\n\\nThe collection-level asset under the `delta`
+ key gives you the fsspec-style URL\\nto the Delta table. This can be used
+ to efficiently query for matching partitions\\nby `Region` and `quadkey`.
+ See the notebook for an example using Python.\\n\\n## STAC metadata\\n\\nThis
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+ can be used to filter items to a specific region, and the `msbuildings:quadkey`\\nproperty
+ can be used to filter items to a specific quadkey (though you can also search\\nby
+ the `geometry`).\\n\\nNote that older STAC items are not spatially partitioned.
+ We recommend filtering on\\nitems with an `msbuildings:processing-date` of
+ `2023-04-25` or newer. See the collection\\nsummary for `msbuildings:processing-date`
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+ Data files\n\nThe primary measurement data is contained in the `FRP_in.nc`
+ file and provides FRP and uncertainties, projected onto a 1km grid, for fires
+ detected in the thermal infrared (TIR) spectrum over land. Since February
+ 2022, FRP and uncertainties are also provided for fires detected in the short
+ wave infrared (SWIR) spectrum over both land and ocean, with the delivered
+ data projected onto a 500m grid. The latter SWIR-detected fire data is only
+ available for night-time measurements and is contained in the `FRP_an.nc`
+ or `FRP_bn.nc` files.\n\nIn addition to the measurement data files, a standard
+ set of annotation data files provide meteorological information, geolocation
+ and time coordinates, geometry information, and quality flags.\n\n## Processing\n\nThe
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+ [SLSTR instrument](https://sentinels.copernicus.eu/web/sentinel/technical-guides/sentinel-3-slstr/instrument);
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+ the product and data processing can be found in the [User Guide](https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-slstr/product-types/level-2-frp)
+ and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-slstr/level-2/frp-processing).\n\nThis
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+ and Aerosol](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-synergy/product-types/level-2-syn)
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+ (SDR) with their associated error estimates for the sun-reflective [SLSTR](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-slstr)
+ channels (S1 to S6 for both nadir and oblique views, except S4) and for all
+ [OLCI](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-olci)
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+ water vapor bands Oa19 and Oa20.\n- Aerosol optical thickness at 550nm with
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+ the product and data processing can be found in the [User Guide](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-synergy/product-types/level-2-syn)
+ and [Technical Guide](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-synergy/level-2/syn-level-2-product).\n\nThis
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+ ozone columns, and the aerosol optical depth.\n\nMore information about the
+ product and data processing can be found in the [User Guide](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-synergy/product-types/level-2-vgp)
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+ radar data and [Sentinel-2](https://sentinel.esa.int/web/sentinel/missions/sentinel-2)
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+ (UN) Food and Agriculture Organization (FAO). The map images are stored in
+ [cloud-optimized GeoTIFF](https://www.cogeo.org/) format.\n\nThe WorldCover
+ product is developed by a consortium of European service providers and research
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headers:
Accept-Ranges:
- bytes
@@ -10539,11 +27346,11 @@ interactions:
Connection:
- keep-alive
Content-Length:
- - '51136'
+ - '52177'
Content-Type:
- application/geo+json
Date:
- - Fri, 09 Aug 2024 15:13:42 GMT
+ - Wed, 14 May 2025 18:18:55 GMT
Strict-Transport-Security:
- max-age=31536000; includeSubDomains
X-Cache:
@@ -10553,7 +27360,7 @@ interactions:
vary:
- Accept-Encoding
x-azure-ref:
- - 20240809T151340Z-1674bbd94ccvvjpbkqgpgkat000000000af0000000006p7g
+ - 20250514T181853Z-r159ff9f48brw5k4hC1YTOfee40000000cxg0000000006uv
status:
code: 200
message: OK
diff --git a/tests/cassettes/test_client/test_get_items_recursion_no_collections_without_ids.yaml b/tests/cassettes/test_client/test_get_items_recursion_no_collections_without_ids.yaml
new file mode 100644
index 00000000..41ab2def
--- /dev/null
+++ b/tests/cassettes/test_client/test_get_items_recursion_no_collections_without_ids.yaml
@@ -0,0 +1,516 @@
+interactions:
+- request:
+ body: null
+ headers:
+ Accept:
+ - '*/*'
+ Accept-Encoding:
+ - gzip, deflate
+ Connection:
+ - keep-alive
+ User-Agent:
+ - python-requests/2.32.3
+ method: GET
+ uri: https://paituli.csc.fi/geoserver/ogc/stac/v1/
+ response:
+ body:
+ string: '{"title":"Paituli STAC","description":"Paituli STAC with Finnish data.
+ More info: https://paituli.csc.fi/stac.html","links":[{"href":"https://paituli.csc.fi/geoserver/ogc/stac/v1/?f=application%2Fjson","rel":"self","type":"application/json","title":"This
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+ document as application/x-yaml"},{"href":"https://paituli.csc.fi/geoserver/ogc/stac/v1/?f=text%2Fhtml","rel":"alternate","type":"text/html","title":"This
+ document as text/html"},{"href":"https://paituli.csc.fi/geoserver/ogc/stac/v1/openapi?f=application%2Fvnd.oai.openapi%2Bjson%3Bversion%3D3.0","rel":"service-desc","type":"application/vnd.oai.openapi+json;version=3.0","title":"API
+ definition for this endpoint as application/vnd.oai.openapi+json;version=3.0"},{"href":"https://paituli.csc.fi/geoserver/ogc/stac/v1/openapi?f=application%2Fx-yaml","rel":"service-desc","type":"application/x-yaml","title":"API
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+ definition for this endpoint as text/html"},{"href":"https://paituli.csc.fi/geoserver/ogc/stac/v1/conformance?f=application%2Fjson","rel":"conformance","type":"application/json","title":"Conformance
+ declaration as application/json"},{"href":"https://paituli.csc.fi/geoserver/ogc/stac/v1/conformance?f=application%2Fx-yaml","rel":"conformance","type":"application/x-yaml","title":"Conformance
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+ declaration as text/html"},{"href":"https://paituli.csc.fi/geoserver/ogc/stac/v1/collections?f=application%2Fjson","rel":"data","type":"application/json","title":"Collections
+ Metadata as application/json"},{"href":"https://paituli.csc.fi/geoserver/ogc/stac/v1/collections?f=text%2Fhtml","rel":"data","type":"text/html","title":"Collections
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+ \ \"type\": \"image/tiff\",\n \"title\": \"Band 1 (coastal)\",\n
+ \ \"href\": \"https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/014/033/LC08_L1TP_014033_20180615_20180703_01_T1/LC08_L1TP_014033_20180615_20180703_01_T1_B1.TIF\",\n
+ \ \"roles\": [],\n \"eo:bands\": [\n {\n \"name\"
+ : \"B1\",\n \"full_width_half_max\" : 0.02,\n \"center_wavelength\"
+ : 0.44,\n \"common_name\" : \"coastal\"\n }\n ]\n },\n
+ \ \"B2\": {\n \"type\": \"image/tiff\",\n \"title\": \"Band 2
+ (blue)\",\n \"href\": \"https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/014/033/LC08_L1TP_014033_20180615_20180703_01_T1/LC08_L1TP_014033_20180615_20180703_01_T1_B2.TIF\",\n
+ \ \"roles\": [],\n \"eo:bands\": [\n {\n \"name\"
+ : \"B2\",\n \"full_width_half_max\" : 0.06,\n \"center_wavelength\"
+ : 0.48,\n \"common_name\" : \"blue\"\n }\n ]\n },\n
+ \ \"B3\": {\n \"type\": \"image/tiff\",\n \"title\": \"Band 3
+ (green)\",\n \"href\": \"https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/014/033/LC08_L1TP_014033_20180615_20180703_01_T1/LC08_L1TP_014033_20180615_20180703_01_T1_B3.TIF\",\n
+ \ \"roles\": [],\n \"eo:bands\": [\n {\n \"name\"
+ : \"B3\",\n \"full_width_half_max\" : 0.06,\n \"center_wavelength\"
+ : 0.56,\n \"common_name\" : \"green\"\n }\n ]\n },\n
+ \ \"B4\": {\n \"type\": \"image/tiff\",\n \"title\": \"Band 4
+ (red)\",\n \"href\": \"https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/014/033/LC08_L1TP_014033_20180615_20180703_01_T1/LC08_L1TP_014033_20180615_20180703_01_T1_B4.TIF\",\n
+ \ \"roles\": [],\n \"eo:bands\": [\n {\n \"name\"
+ : \"B4\",\n \"full_width_half_max\" : 0.04,\n \"center_wavelength\"
+ : 0.65,\n \"common_name\" : \"red\"\n }\n ]\n },\n
+ \ \"B5\": {\n \"type\": \"image/tiff\",\n \"title\": \"Band 5
+ (nir)\",\n \"href\": \"https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/014/033/LC08_L1TP_014033_20180615_20180703_01_T1/LC08_L1TP_014033_20180615_20180703_01_T1_B5.TIF\",\n
+ \ \"roles\": [],\n \"eo:bands\": [\n {\n \"name\"
+ : \"B5\",\n \"full_width_half_max\" : 0.03,\n \"center_wavelength\"
+ : 0.86,\n \"common_name\" : \"nir\"\n }\n ]\n },\n
+ \ \"B6\": {\n \"type\": \"image/tiff\",\n \"title\": \"Band 6
+ (swir16)\",\n \"href\": \"https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/014/033/LC08_L1TP_014033_20180615_20180703_01_T1/LC08_L1TP_014033_20180615_20180703_01_T1_B6.TIF\",\n
+ \ \"roles\": [],\n \"eo:bands\": [\n {\n \"name\"
+ : \"B6\",\n \"full_width_half_max\" : 0.08,\n \"center_wavelength\"
+ : 1.6,\n \"common_name\" : \"swir16\"\n }\n ]\n },\n
+ \ \"B7\": {\n \"type\": \"image/tiff\",\n \"title\": \"Band 7
+ (swir22)\",\n \"href\": \"https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/014/033/LC08_L1TP_014033_20180615_20180703_01_T1/LC08_L1TP_014033_20180615_20180703_01_T1_B7.TIF\",\n
+ \ \"roles\": [],\n \"eo:bands\": [\n {\n \"name\"
+ : \"B7\",\n \"full_width_half_max\" : 0.22,\n \"center_wavelength\"
+ : 2.2,\n \"common_name\" : \"swir22\"\n }\n ]\n },\n
+ \ \"B8\": {\n \"type\": \"image/tiff\",\n \"title\": \"Band 8
+ (pan)\",\n \"href\": \"https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/014/033/LC08_L1TP_014033_20180615_20180703_01_T1/LC08_L1TP_014033_20180615_20180703_01_T1_B8.TIF\",\n
+ \ \"roles\": [],\n \"eo:bands\": [\n {\n \"name\"
+ : \"B8\",\n \"full_width_half_max\" : 0.18,\n \"center_wavelength\"
+ : 0.59,\n \"common_name\" : \"pan\"\n }\n ]\n },\n
+ \ \"B9\": {\n \"type\": \"image/tiff\",\n \"title\": \"Band 9
+ (cirrus)\",\n \"href\": \"https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/014/033/LC08_L1TP_014033_20180615_20180703_01_T1/LC08_L1TP_014033_20180615_20180703_01_T1_B9.TIF\",\n
+ \ \"roles\": [],\n \"eo:bands\": [\n {\n \"name\"
+ : \"B9\",\n \"full_width_half_max\" : 0.02,\n \"center_wavelength\"
+ : 1.37,\n \"common_name\" : \"cirrus\"\n }\n ]\n },\n
+ \ \"B10\": {\n \"type\": \"image/tiff\",\n \"title\": \"Band 10
+ (lwir)\",\n \"href\": \"https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/014/033/LC08_L1TP_014033_20180615_20180703_01_T1/LC08_L1TP_014033_20180615_20180703_01_T1_B10.TIF\",\n
+ \ \"roles\": [],\n \"eo:bands\": [\n {\n \"name\"
+ : \"B10\",\n \"full_width_half_max\" : 0.8,\n \"center_wavelength\"
+ : 10.9,\n \"common_name\" : \"lwir11\"\n }\n ]\n },\n
+ \ \"B11\": {\n \"type\": \"image/tiff\",\n \"title\": \"Band 11
+ (lwir)\",\n \"href\": \"https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/014/033/LC08_L1TP_014033_20180615_20180703_01_T1/LC08_L1TP_014033_20180615_20180703_01_T1_B11.TIF\",\n
+ \ \"roles\": [],\n \"eo:bands\": [\n {\n \"name\"
+ : \"B11\",\n \"full_width_half_max\" : 1,\n \"center_wavelength\"
+ : 12,\n \"common_name\" : \"lwir2\"\n }\n ]\n },\n
+ \ \"ANG\": {\n \"title\": \"Angle coefficients file\",\n \"type\":
+ \"text/plain\",\n \"href\": \"https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/014/033/LC08_L1TP_014033_20180615_20180703_01_T1/LC08_L1TP_014033_20180615_20180703_01_T1_ANG.txt\",\n
+ \ \"roles\": []\n },\n \"MTL\": {\n \"title\": \"original metadata
+ file\",\n \"type\": \"text/plain\",\n \"href\": \"https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/014/033/LC08_L1TP_014033_20180615_20180703_01_T1/LC08_L1TP_014033_20180615_20180703_01_T1_MTL.txt\",\n
+ \ \"roles\": []\n },\n \"BQA\": {\n \"title\": \"Band quality
+ data\",\n \"type\": \"image/tiff\",\n \"href\": \"https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/014/033/LC08_L1TP_014033_20180615_20180703_01_T1/LC08_L1TP_014033_20180615_20180703_01_T1_BQA.TIF\",\n
+ \ \"roles\": []\n }\n },\n \"links\": [\n {\n \"rel\": \"self\",\n
+ \ \"href\": \"./LC80140332018166LGN00.json\"\n },\n {\n \"rel\":
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diff --git a/tests/test_client.py b/tests/test_client.py
index c1851e26..9cd1ce82 100644
--- a/tests/test_client.py
+++ b/tests/test_client.py
@@ -738,19 +738,58 @@ def test_collections_are_clients() -> None:
@pytest.mark.vcr
-def test_get_items_without_ids() -> None:
+def test_get_items_recursion_collections_required_without_ids() -> None:
+ """
+ Make sure recursion using /search works when the server requires collections
+ when searching
+ """
client = Client.open(
"https://planetarycomputer.microsoft.com/api/stac/v1/",
)
next(client.get_items())
+@pytest.mark.vcr
+def test_get_items_recursion_no_collections_without_ids() -> None:
+ """
+ Make sure recursion using /search works when the server does not require collections
+ when searching
+ """
+ client = Client.open(
+ "https://paituli.csc.fi/geoserver/ogc/stac/v1/",
+ )
+ next(client.get_items())
+
+
+@pytest.mark.vcr
+def test_get_items_non_recursion() -> None:
+ """Make sure that non-recursive search is used when using /search"""
+ client = Client.open(
+ "https://planetarycomputer.microsoft.com/api/stac/v1/",
+ )
+ with pytest.raises(StopIteration):
+ next(client.get_items(recursive=False))
+
+
@pytest.mark.vcr
def test_non_recursion_on_fallback() -> None:
+ """
+ Make sure that non-recursive search using fallback only looks for
+ non-recursive items
+ """
+ path = "https://raw.githubusercontent.com/stac-utils/pystac/v1.9.0/docs/example-catalog/catalog.json"
+ catalog = Client.from_file(path)
+ with pytest.warns(FallbackToPystac), pytest.raises(StopIteration):
+ next(catalog.get_items(recursive=False))
+
+
+@pytest.mark.vcr
+def test_recursion_on_fallback() -> None:
+ """Make sure that recursive search using fallback looks for recursive items"""
path = "https://raw.githubusercontent.com/stac-utils/pystac/v1.9.0/docs/example-catalog/catalog.json"
catalog = Client.from_file(path)
with pytest.warns(FallbackToPystac):
- [i for i in catalog.get_items()]
+ next(catalog.get_items())
@pytest.mark.vcr