Timeline / Data.gov — Climate Datasets
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A new raw object was archived. Both versions are preserved. 7300 line(s) added, 4010 line(s) removed.
Evidence
| Source | Data.gov — Climate Datasets |
|---|---|
| Agency | Data.gov |
| URL | https://api.gsa.gov/technology/datagov/v4/search?q=climate&sort=last_harvested_date&per_page=100&api_key=${DATAGOV_API_KEY} |
| Observed by | Civic Memory, directly, on 2026-09-25T06:23:09+00:00 |
| Content type | application/json |
| Current object |
dcb7ea116d291cadc5ef5c6f45743f3c37b63c530c26556dbf6cc59fb9cb3352
download raw
metadata
|
| Previous object |
83e7fca5cb8f2773260157d05acdb406022734b7bcd0b007ac68510d6e7565e3
download raw
metadata
|
What changed derived
This diff is not evidence. It was produced by
civic-memory.diff_engine 1.1.0 at
2026-09-25T06:23:09+00:00 by normalizing the two archived objects above. The
objects are authoritative; this reading of them can be regenerated or deleted
without loss. 7300 line(s) added, 4010 line(s) removed.
--- previous +++ current @@ -1,28 +1,28 @@ { - "after": "WzE3OTAyMTEwODI3MTgsMzcuNDU5MjM2LDAsIjIzZmYwYzUzLTZlZDEtNDVmZC04MGIyLTBlYzc1MjYxMWYxNiJd", + "after": "WzE3OTAzMDc1MjgxMzMsNS43MjM0MzI1LDAsIjg5Nzc2NDU0LTAwMGUtNDZlOC1hNGFhLTYyNjZlZjI0NGU4ZCJd", "results": [ { - "_score": 14.570285, + "_score": 4.9064875, "_sort": [ - 1790294597652, - 14.570285, - 2, - "eeacaca5-74ec-4f63-97f3-ced9cd1f2aa6" + 1790317381524, + 4.9064875, + 1, + "c36eb35c-5ea7-49cb-bee0-91af5ef766d0" ], "dcat": { "@type": "dcat:Dataset", "accessLevel": "public", "contactPoint": { "@type": "vcard:Contact", - "fn": "Texas A&M University/ Department of Ocecanography", - "hasEmail": "mailto:reckert2017@fau.edu" - }, - "describedByType": "application/octet-stream", - "description": "This cruise is to establish the FGBNMS as the final of three sentinel climate and ocean acidification monitoring sites of the NOAA Coral Reef Conservation Program?s National Coral Reef Monitoring Program (NCRMP) Six plots will be established for long-term monitoring of calcium carbonate budgets as well utilizing of landscape mosaicking of the reef substrate. Temperature sensors, bioerosion monitoring units (BMUS), Artificial Reef Monitoring Structures (ARMS), Calcification Acidification Units (CAUs), and subsurface temperature recorders (STRS) will be deployed. Additionally, coral cores will be collected to ascertain long-term trends in coral calcification.", + "fn": "Axiom Data Science", + "hasEmail": "mailto:dataservices+aoos-erddap@axiomdatascience.com" + }, + "describedByType": "application/octet-stream", + "description": "Timeseries data from 'Unalakleet, AK (2221)' (gov_usda_nrcs_scan_2221)", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://gcoos5.geos.tamu.edu/erddap/tabledap/FGBNMS_FGBNMS-15-07_NCRMP1_1.html", + "accessURL": "https://erddap.aoos.org/erddap/tabledap/gov_usda_nrcs_scan_2221.html", "describedByType": "application/octet-stream", "description": "ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.", "mediaType": "text/html", @@ -32,378 +32,138 @@ "@type": "dcat:Distribution", "describedByType": "application/octet-stream", "description": "ERDDAP's Make-A-Graph .html web page for this dataset. 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"latitude", - "longitude", - "longitude", - "depth", - "thermosalinograph_temperature", - "thermosalinograph_temperature_flag", - "thermosalinograph_conductivity", - "thermosalinograph_conductivity_flag", - "thermosalinograph_salinity", - "thermosalinograph_salinity_flag", - "omnidirectional_photosynthetic_spherical_irradiance_in_sea_water", - "omnidirectional_photosynthetic_spherical_irradiance_in_sea_water", - "young_air_temperature", - "young_air_temperature_flag", - "young_barometric_pressure", - "young_barometric_pressure", - "relative_humidity", - "relative_humidity_flag", - "true_wind_direction", - "true_wind_direction_flag", - "true_wind_speed", - "true_wind_speed_flag", - "wetlab_eco_bb_fluorometer_700", - "wetlab_eco_bb_fluorometer_700_flag", - "wetlab_eco_fluorometer_chlorophyll_a", - "wetlab_eco_fluorometer_chlorophyll_a_flag", - "wetlab_eco_fluorometer_cdom", - "wetlab_eco_fluorometer_chlorophyll_a_flag", - "wetlab_eco_fluorometer_440", - "wetlab_eco_fluorometer_440_flag", - "wetlab_eco_fluorometer_470", - "wetlab_eco_fluorometer_470_flag", - "wetlab_eco_fluorometer_532", - "wetlab_eco_fluorometer_532_flag" - ], - "landingPage": "https://flowergarden.noaa.gov/science/eastwestmonitor.html", + "longitude", + "altitude", + "lwe_thickness_of_precipitation_amount", + "aggregate_quality_flag", + "quality_flag", + "solar_irradiance", + "aggregate_quality_flag", + "quality_flag", + "surface_snow_thickness", + "aggregate_quality_flag", + "quality_flag", + "soil_moisture_percent", + "aggregate_quality_flag", + "quality_flag", + "air_temperature", + "aggregate_quality_flag", + "quality_flag", + "soil_temperature", + "aggregate_quality_flag", + "quality_flag", + "wind_speed_of_gust", + "aggregate_quality_flag", + "quality_flag", + "wind_speed", + "aggregate_quality_flag", + "quality_flag", + "wind_from_direction", + "aggregate_quality_flag", + "quality_flag" + ], + "landingPage": "https://sensors.ioos.us/#metadata/104401/station", "language": [], "license": "https://creativecommons.org/publicdomain/zero/1.0/", - 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Additionally, coral cores will be collected to ascertain long-term trends in coral calcification.", + "name": "Axiom Data Science" + }, + "spatial": "-160.74973,63.91333,-160.74973,63.91333", + "temporal": "2015-08-22T00:00:00+00:00/2017-04-04T14:00:00+00:00", + "theme": [ + "geospatial" + ], + "title": "Unalakleet, AK (2221)" + }, + "description": "Timeseries data from 'Unalakleet, AK (2221)' (gov_usda_nrcs_scan_2221)", "distribution_titles": [ "Data Subset Form", "Make-A-Graph Form", "Background Information" ], - "harvest_record": "https://catalog.data.gov/harvest_record/88e2e77e-de74-4fe1-9f47-78e47e3e91b2", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/88e2e77e-de74-4fe1-9f47-78e47e3e91b2/raw", - "harvest_record_transformed": "https://catalog.data.gov/harvest_record/88e2e77e-de74-4fe1-9f47-78e47e3e91b2/transformed", + "harvest_record": "https://catalog.data.gov/harvest_record/f62d5901-3db6-42e3-b6eb-889e0e3c3f01", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/f62d5901-3db6-42e3-b6eb-889e0e3c3f01/raw", + "harvest_record_transformed": "https://catalog.data.gov/harvest_record/f62d5901-3db6-42e3-b6eb-889e0e3c3f01/transformed", "has_download": true, "has_spatial": true, - 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"Earth Science > Atmosphere > Atmospheric Water Vapor > Humidity", - "Flower Garden Banks National Marine Sanctuary Research and Monitoring", + "identifier": "https://data.noaa.gov/waf/NOAA/ioos/iso/xml/gov_usda_nrcs_scan_2221.xml", + "keyword": [ + "GCMD:Earth Science > Terrestrial Hydrosphere > Snow/Ice > Snow Depth", + "GCMD:Earth Science > Land Surface > Soils > Soil Temperature", + "GCMD:Earth Science > Cryosphere > Snow/Ice > Snow Depth", + "GCMD:Earth Science > Atmosphere > Precipitation > Snow", + "GCMD:Earth Science > Atmosphere > Precipitation > Precipitation Amount", + "GCMD:Earth Science > Atmosphere > Precipitation > Liquid Water Equivalent", + "GCMD:Earth Science > Atmosphere > Atmospheric Winds > Surface Winds", + "GCMD:Earth Science > Atmosphere > Atmospheric Temperature > Surface Air Temperature", + "GCMD:Earth Science > Atmosphere > Atmospheric Temperature > Air Temperature", + "GCMD:Earth Science > Agriculture > Soils > Soil Temperature", + "Soil Climate Analysis Network (SCAN)", "time", "latitude", - 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"wetlab_eco_fluorometer_470", - "wetlab_eco_fluorometer_470_flag", - "wetlab_eco_fluorometer_532", - "wetlab_eco_fluorometer_532_flag" - ], - "last_harvested_date": "2026-09-25T00:03:17.652253", + "longitude", + "altitude", + "lwe_thickness_of_precipitation_amount", + "aggregate_quality_flag", + "quality_flag", + "solar_irradiance", + "aggregate_quality_flag", + "quality_flag", + "surface_snow_thickness", + "aggregate_quality_flag", + "quality_flag", + "soil_moisture_percent", + "aggregate_quality_flag", + "quality_flag", + "air_temperature", + "aggregate_quality_flag", + "quality_flag", + "soil_temperature", + "aggregate_quality_flag", + "quality_flag", + "wind_speed_of_gust", + "aggregate_quality_flag", + "quality_flag", + "wind_speed", + "aggregate_quality_flag", + "quality_flag", + "wind_from_direction", + "aggregate_quality_flag", + "quality_flag" + ], + "last_harvested_date": "2026-09-25T06:23:01.524154", "organization": { "aliases": [ "" @@ -418,3947 +178,7477 @@ "slug": "noaa" }, "parent_identifier": null, - "popularity": 2, - "publisher": "TAMU", - "slug": "rv-manta-fgbnms-fgbnms-15-07_ncrmp1_1-nc-29-31n-94-82w-2015-05-31", + "popularity": 1, + "publisher": "Axiom Data Science", + "slug": "unalakleet-ak-2221", "spatial_centroid": { - "lat": 28.46114, - "lon": -94.05832000000001 + "lat": 63.91333, + "lon": -160.74973 }, "spatial_shape": { "coordinates": [ - [ - [ - -93.552, - 27.8741 - ], - [ - -93.552, - 29.3417 - ], - [ - -94.8178, - 29.3417 - ], - [ - -94.8178, - 27.8741 - ], - [ - -93.552, - 27.8741 - ] - ] - ], - "type": "Polygon" - }, - "theme": [ - "geospatial" - ], - "title": "\"RV Manta - FGBNMS - FGBNMS-15-07_NCRMP1_1.nc - 29.31N, 94.82W - 2015-05-31\"", + -160.74973, + 63.91333 + ], + "type": "Point" + }, + "theme": [ + "geospatial" + ], + "title": "Unalakleet, AK (2221)", "type": "dataset" }, { - "_score": 15.7596245, + "_score": 4.9385424, "_sort": [ - 1790284088987, - 15.7596245, - 0, - "88ce7a92-630e-459e-ae65-8e3fa635f353" - ], - "dcat": { - "@type": "dcat:Dataset", - "accessLevel": "public", - "bureauCode": [ - "000:00" - ], - "contactPoint": { - "@type": "vcard:Contact", - "fn": "OpenTopography Support", - "hasEmail": "mailto:info@opentopography.org" - }, - "description": "Small-footprint, discrete-return lidar data were collected over the La Selva protected area in Costa Rica in 2009. The data include coverage of the lowest elevation TEAM vegetation plot at the Volcan Barva TEAM site as well as low-biomass secondary forests and plantations.\n\nThe lidar data were collected and provided to TEAM by Northrop Grumman Corporation, through the Global Climate Monitoring Systems and 3001 remote sensing division.", - "distribution": [ - { - "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.5069/G9P8491K", - "mediaType": "text/html", - "title": "OpenTopography Data Download Page" - } - ], - "identifier": "OTDS.022019.32616.1", - "keyword": [ - "biomass", - "community-dataspace", - "costa rica", - "la selva", - "lidar", - "small footprint", - "team" - ], - "license": "https://creativecommons.org/licenses/by/4.0", - "modified": "2019-02-14", - "programCode": [ - "000:000" - ], - "publisher": { - "@type": "org:Organization", - "name": "OpenTopography" - }, - "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-84.11 10.34, -84.11 10.50, -83.95 10.50, -83.95 10.34, -84.11 10.34))\"}", - "title": "TEAM lidar data over La Selva, Costa Rica 2009" - }, - "description": "Small-footprint, discrete-return lidar data were collected over the La Selva protected area in Costa Rica in 2009. The data include coverage of the lowest elevation TEAM vegetation plot at the Volcan Barva TEAM site as well as low-biomass secondary forests and plantations.\n\nThe lidar data were collected and provided to TEAM by Northrop Grumman Corporation, through the Global Climate Monitoring Systems and 3001 remote sensing division.", - "distribution_titles": [ - "OpenTopography Data Download Page" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/29d74f43-9231-4795-b491-3f2b0ead8ceb", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/29d74f43-9231-4795-b491-3f2b0ead8ceb/raw", - "has_download": false, - "has_spatial": true, - "identifier": "OTDS.022019.32616.1", - "keyword": [ - "biomass", - "community-dataspace", - "costa rica", - "la selva", - "lidar", - "small footprint", - "team" - ], - "last_harvested_date": "2026-09-24T21:08:08.987666", - "organization": { - "aliases": [ - "" - ], - "code_repo_exempt": false, - "code_repo_url": null, - "description": null, - "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", - "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", - "name": "OpenTopography", - "organization_type": "University", - "slug": "opentopography" - }, - "parent_identifier": null, - "popularity": 0, - "publisher": "OpenTopography", - "slug": "team-lidar-data-over-la-selva-costa-rica-2009-a62b2", - "spatial_centroid": { - "lat": 10.404, - "lon": -84.046 - }, - "spatial_shape": { - "coordinates": [ - [ - [ - -84.11, - 10.34 - ], - [ - -83.95, - 10.34 - ], - [ - -83.95, - 10.5 - ], - [ - -84.11, - 10.5 - ], - [ - -84.11, - 10.34 - ] - ] - ], - "type": "Polygon" - }, - "theme": [], - "title": "TEAM lidar data over La Selva, Costa Rica 2009", - "type": "dataset" - }, - { - "_score": 9.127607, - "_sort": [ - 1790284048186, - 9.127607, - 0, - "757ce76b-e448-4287-bb6b-693788fca020" - ], - "dcat": { - "@type": "dcat:Dataset", - "accessLevel": "public", - "bureauCode": [ - "000:00" - ], - "contactPoint": { - "@type": "vcard:Contact", - "fn": "OpenTopography Support", - "hasEmail": "mailto:info@opentopography.org" - }, - "description": "The Global Ecosystem Dynamics Investigation (GEDI) produces high resolution laser ranging observations of the 3D structure of the Earth. GEDI's precise measurements of forest canopy height, canopy vertical structure, and surface elevation greatly advance the ability to characterize important carbon and water cycling processes, biodiversity, and habitat. GEDI was funded as a NASA Earth Ventures Instrument (EVI) mission. It was launched to the International Space Station in December 2018 and completed initial orbit checkout in April 2019.This dataset provides Global Ecosystem Dynamics Investigation (GEDI) Level 3 (L3) gridded mean ground elevation, and mean canopy height per 1 km x 1 km grid cells globally within -52 and 52 degrees latitude. These L3 gridded products were derived from Level 2 (L2) geolocated laser footprint return profile metrics from the GEDI instrument onboard the International Space Station (ISS). Ground elevation is provided as the mean elevation (in meters) of the center of the lowest waveform mode relative to the WGS84 reference ellipsoid. Canopy height is provided as the mean height (in meters) above the ground of the received waveform signal that was the first reflection off the top of the canopy (RH100). L3 gridded products can be used to characterize important carbon and water cycling processes, biodiversity, habitat and can also be of immense value for climate modeling, forest management, snow and glacier monitoring, and the generation of digital elevation models. This dataset version uses Version 2 of the input L2 data, which includes improved geolocation of the footprints as well as a modified method to predict an optimum algorithm setting group. Note: The version of the GEDI data hosted on OpenTopography has been reprojected into the World Geodetic System 1984 (EPSG:4326) For more details on the GEDI project go to the GEDI homepage For more details on the GEDI L3 Gridded Products, go to the NASA ORNL DAAC", - "distribution": [ - { - "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.5069/G9V12301", - "mediaType": "text/html", - "title": "OpenTopography Data Download Page" - } - ], - "identifier": "OT.032022.4326.1", - "keyword": [ - "ISS", - "RH100", - "biodiversity", - "canopy", - "carbon", - "ecosystem", - "lidar", - "waveform" - ], - "license": "https://creativecommons.org/licenses/by/4.0", - "modified": "2023-02-13", - "programCode": [ - "000:000" - ], - "publisher": { - "@type": "org:Organization", - "name": "OpenTopography" - }, - "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-180.00 -52.69, -180.00 52.69, 180.00 52.69, 180.00 -52.69, -180.00 -52.69))\"}", - "title": "Global Ecosystem Dynamics Investigation (GEDI) L3 Gridded Land Surface Metrics" - }, - "description": "The Global Ecosystem Dynamics Investigation (GEDI) produces high resolution laser ranging observations of the 3D structure of the Earth. 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Canopy height is provided as the mean height (in meters) above the ground of the received waveform signal that was the first reflection off the top of the canopy (RH100). L3 gridded products can be used to characterize important carbon and water cycling processes, biodiversity, habitat and can also be of immense value for climate modeling, forest management, snow and glacier monitoring, and the generation of digital elevation models. This dataset version uses Version 2 of the input L2 data, which includes improved geolocation of the footprints as well as a modified method to predict an optimum algorithm setting group. 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This data was collected in collaboration between the National Center for Airborne Laser Mapping (NCALM) project and the Boulder Creek Critical Zone Observatory (CZO), both funded by the National Science Foundation (NSF). The dataset contains 1 m Digital Surface Models (first-stop), Digital Terrain Models (bare-earth), and 10 points/m2 LAS-formated point cloud tiles. The DSMs and DTMs are available in GeoTIFF format, approx. 1-2 GB each, with associated shaded relief models, for a total of 15 GB of data. The Digital Terrain Model (DTM) is a ground-surface elevation dataset better suited for derived layers such as slope angle, aspect, and contours. Accessory layers consist of index map layers for point cloud tiles, DEM extent, and flight lines. Other LiDAR DSMs, DTMs, and point cloud data available in this series include snow-on data for 2010. Together, the LiDAR Digital Elevation Models (DEM) and point cloud data will be of interest to land managers, scientists, and others for study of topography, snow, ecosystems and environmental change. The Boulder Creek CZO will be using the LiDAR data to further their mission of focusing on how water, atmosphere, ecosystems, & soils interact and shape the Earth's surface. The \"Critical Zone\" lies between rock and sky. It is essential to life - including human food production - and helps drive Earth's carbon cycle, climate change, stream runoff, and water quality.PLEASE READ the FGDC-compliant metadata files that are available for each dataset (in .html, .txt, and .xml formats). These files provide numerous details that may be of interest. Also included are flight lines, survey reports, reference materials, and DEM extent shapefiles.Publications associated with this dataset can be found at NCALM's Data Tracking Center", - "distribution": [ - { - "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.5069/G93R0QR0", - "mediaType": "text/html", - "title": "OpenTopography Data Download Page" - } - ], - "identifier": "OT.032012.26913.1", - "keyword": [ - "Arikaree Glacier", - "Betasso Preserve", - "Bummers Gulch", - "Como Creek", - "Emerson Gulch", - "Fourmile Canyon", - "Fourmile Creek", - "Gold Run", - "Gordon Gulch", - "Green Lakes", - "Long Gulch", - "Melvin Gulch", - "NCALM", - "Schoolhouse Gulch", - "lidar" - ], - "license": "https://creativecommons.org/licenses/by/4.0", - "modified": "2012-03-13", - "programCode": [ - "000:000" - ], - "publisher": { - "@type": "org:Organization", - "name": "OpenTopography" - }, - "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-105.71 39.91, -105.71 40.16, -105.22 40.16, -105.22 39.91, -105.71 39.91))\"}", - "title": "Boulder Creek Critical Zone Observatory August 2010 Snow-Off Lidar Survey" - }, - "description": "2010 Boulder Creek, Colorado Snow-Off LiDAR SurveysLiDAR was acquired for a 600 km2 area inside the Boulder Creek watershed during a snow-off (August, 2010) time slice, near Boulder Colorado. 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Together, the LiDAR Digital Elevation Models (DEM) and point cloud data will be of interest to land managers, scientists, and others for study of topography, snow, ecosystems and environmental change. The Boulder Creek CZO will be using the LiDAR data to further their mission of focusing on how water, atmosphere, ecosystems, & soils interact and shape the Earth's surface. The \"Critical Zone\" lies between rock and sky. It is essential to life - including human food production - and helps drive Earth's carbon cycle, climate change, stream runoff, and water quality.PLEASE READ the FGDC-compliant metadata files that are available for each dataset (in .html, .txt, and .xml formats). These files provide numerous details that may be of interest. 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Each flight has 6 sub-areas defined as: Bull (Area 1), Courtwright Road (Area 2), Providence (Area 3), San Joaquin Range (Area 4), Soaproot Saddle (Area 5), and Wolverton (Area 6). This dataset includes 1m digital surface model (filtered and unfiltered), 1m digital elevation models (filtered and unfiltered), and the raw Lidar point clouds (LAS format) in 1 km by 1 km tiles. Data acquisition, ground-truthing, vegetation surveys and processing were coordinated by Dr. Qinghua Guo and funded by NSF Award (EAR-0922307 , PI. Qinghua Guo), which aims to collect Lidar data at all CZOs, including extracting vegetation characteristics from the LIDAR point cloud data. 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Data were provided by the University of Maryland and the Sonoma County Vegetation Mapping and Lidar Program under grant NNX13AP69G from NASA's Carbon Monitoring System (Dr. Ralph Dubayah, PI). The Sonoma County Vegetation Mapping and Lidar Program is NASA/UMD's local partner in this project- its members are as follows: the Sonoma County Agricultural Preservation and Open Space District, the Sonoma County Water Agency, the California Department of Fish and Wildlife, the United States Geological Survey, the Sonoma County Information Systems Department, the Sonoma County Transportation and Public Works Department, the Nature Conservancy, and the City of Petaluma.These data will be used for various research projects throughout Sonoma County. They are critical to assessing climate mitigation and adaptation strategies and benefits provided by the landscape, such as the amount of carbon sequestration in forests or the degree to which riparian areas, floodplains, and coastal habitats may buffer extreme weather events. Other research applications include groundwater, ecosystem services valuation, ecosystem resiliency, and wildlife habitat connectivity. Finally, these data sets are key to facilitating good planning and management for watershed protection, flood control, fire and fuels management and wildlife habitat conservation.The data was collected between September 28 and November 26, 2013 by Watershed Sciences, Inc. (WSI). Lidar was collected at high density greater than 8 pulses per square meter. WSI used two airplanes, one carrying a Leica ALS50 and the other a Leica ALS70; systems were flown at 900 meters above ground level, capturing a scan angle of 15 degrees from nadir (30 degree field of view). 4-band, 6-inch resolution aerial photography was collected simultaneously with the Lidar data.", - "distribution": [ - { - "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.5069/G9G73BM1", - "mediaType": "text/html", - "title": "OpenTopography Data Download Page" - } - ], - "identifier": "OT.092014.2871.1", - "keyword": [ - "Biomass Mapping", - "Carbon Mapping", - "Lidar", - "Riparian Mapping", - "Sonoma County", - "Vegetation and Habitat Mapping" - ], - "license": "https://creativecommons.org/licenses/by/4.0", - "modified": "2014-10-13", - "programCode": [ - "000:000" - ], - "publisher": { - "@type": "org:Organization", - "name": "OpenTopography" - }, - "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-123.54 38.11, -123.54 39.24, -122.35 39.24, -122.35 38.11, -123.54 38.11))\"}", - "title": "UMD-NASA Carbon Mapping /Sonoma County Vegetation Mapping and Lidar Program" - }, - "description": "This survey covers all of Sonoma County as well as two small portions of southern Mendocino County. 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They are critical to assessing climate mitigation and adaptation strategies and benefits provided by the landscape, such as the amount of carbon sequestration in forests or the degree to which riparian areas, floodplains, and coastal habitats may buffer extreme weather events. Other research applications include groundwater, ecosystem services valuation, ecosystem resiliency, and wildlife habitat connectivity. Finally, these data sets are key to facilitating good planning and management for watershed protection, flood control, fire and fuels management and wildlife habitat conservation.The data was collected between September 28 and November 26, 2013 by Watershed Sciences, Inc. (WSI). Lidar was collected at high density greater than 8 pulses per square meter. 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PIs: Kimberly Huppert, Massachusetts Institute of Technology, and Mathuei Laporte, California Institute of Technology. The requested survey area consisted of a single irregular polygon of approximately 80 square kilometers on the island of KauaI, Hawaii. Data were collected to investigate the climate control of hillslope erosion across a steep rainfall gradient on KauaI (Kimberly Huppert) and the interplay of cliff erosion, landsliding, and knickpoint retreat along the Na Pali Coast, KauaI (Mathieu Lapotre). The survey attempts took placed from February 14, 2013 through February 16, 2013. 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PI: Brendan P. Murphy, The University of Texas at Austin. The survey area consisted of a 46 square kilometer irregular polygon on the island of Hawaii covering two distinct watersheds on the Kohala Peninsula. The data were collected to quantify the role of spatially variable climate in bedrock fluvial incision on the Kohala Peninsula. Repeated efforts were made to survey this area over an 8-day span. Unfortunately the ever-present cloud cover on the wet side prevented the completion of the survey. 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For suppliers who have selected the method described in California Code of Regulations (CCR) section 974(c)(3) for identifying which commercial, industrial, and institutional (CII) customers would be offered best management practices (BMPs), it tracks information suppliers have submitted related to BMPs offered to CII customers identified as per the methodology described in CCR section 974(c)(3).", - "downloadURL": "https://data.ca.gov/dataset/7c8e8c05-b43e-4a71-84af-87194ef724fc/resource/004f409e-7373-4939-8542-1059b53700cf/download/bmps974c3.csv", - "format": "CSV", - "mediaType": "text/csv", - "title": "Best Management Practices 974(c)(3) Methodology" - }, - { - "@type": "dcat:Distribution", - "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=00bf60b0-f331-4402-8b11-f51aa5a5d643&limit=0", - "describedByType": "application/json", - "description": "This dataset is a compilation of the data submitted by urban retail water suppliers to the State Water Board via the Annual Urban Water Use Objective and Water Use Report. 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Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.", + "mediaType": "text/html", + "title": "Data Subset Form" + }, + { + "@type": "dcat:Distribution", + "describedByType": "application/octet-stream", + "description": "ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data.", + "downloadURL": "https://erddap.aoos.org/erddap/tabledap/gov_usda_nrcs_scan_2213.graph", + "mediaType": "placeholder/value", + "title": "Make-A-Graph Form" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://sensors.ioos.us/#metadata/104361/station", + "describedByType": "application/octet-stream", + "description": "Background information from the source", + "mediaType": "text/html", + "title": "Background Information" } ], - "identifier": "7c8e8c05-b43e-4a71-84af-87194ef724fc", - "issued": "2025-03-21T22:16:40.020323", - "keyword": [ - "AB1668", - "Making Conservation a California Way of Life", - "SB606", - "Urban Water Conservation Objectives", - "managing urban water use" - ], - "license": "http://www.opendefinition.org/licenses/odc-pddl", - "modified": "2026-09-10T22:21:08.961620", + "identifier": "https://data.noaa.gov/waf/NOAA/ioos/iso/xml/gov_usda_nrcs_scan_2213.xml", + "isPartOf": "Soil Climate Analysis Network (SCAN)", + "issued": "2026-09-15T00:00:00.000+00:00", + "keyword": [ + "GCMD:Earth Science > Terrestrial Hydrosphere > Snow/Ice > Snow Depth", + "GCMD:Earth Science > Land Surface > Soils > Soil Temperature", + "GCMD:Earth Science > Cryosphere > Snow/Ice > Snow Depth", + "GCMD:Earth Science > Atmosphere > Precipitation > Snow", + "GCMD:Earth Science > Atmosphere > Precipitation > Precipitation Amount", + "GCMD:Earth Science > Atmosphere > Precipitation > Liquid Water Equivalent", + "GCMD:Earth Science > Atmosphere > Atmospheric Winds > Surface Winds", + "GCMD:Earth Science > Atmosphere > Atmospheric Temperature > Surface Air Temperature", + "GCMD:Earth Science > Atmosphere > Atmospheric Temperature > Air Temperature", + "GCMD:Earth Science > Agriculture > Soils > Soil Temperature", + "Soil Climate Analysis Network (SCAN)", + "time", + "latitude", + "longitude", + "altitude", + "lwe_thickness_of_precipitation_amount", + "aggregate_quality_flag", + "quality_flag", + "solar_irradiance", + "aggregate_quality_flag", + "quality_flag", + "surface_snow_thickness", + "aggregate_quality_flag", + "quality_flag", + "soil_moisture_percent", + "aggregate_quality_flag", + "quality_flag", + "air_temperature", + "aggregate_quality_flag", + "quality_flag", + "soil_temperature", + "aggregate_quality_flag", + "quality_flag", + "wind_speed_of_gust", + "aggregate_quality_flag", + "quality_flag", + "wind_speed", + "aggregate_quality_flag", + "quality_flag", + "wind_from_direction", + "aggregate_quality_flag", + "quality_flag" + ], + "landingPage": "https://sensors.ioos.us/#metadata/104361/station", + "language": [], + "license": "https://creativecommons.org/publicdomain/zero/1.0/", + "modified": "2026-09-15T00:00:00.000+00:00", "publisher": { "@type": "org:Organization", - "name": "California State Water Resources Control Board" - }, - "title": "Urban Water Use Objectives – Compiled Report Data" - }, - "description": "The Making Conservation a California Way of Life regulation requires urban retail water suppliers to annually calculate their Urban Water Use Objective (UWUO), which is the sum of efficiency budgets for a subset of urban water uses: residential indoor water use, residential outdoor water use, real water loss and commercial, industrial and institutional landscapes with dedicated irrigation meters. Each efficiency budget will be calculated using a statewide efficiency standard and local service area characteristics such as population, climate, and landscape area. Where relevant, suppliers may also include in their objective “variances” for unique uses, or a bonus incentive for potable recycled water use.\r\n\r\nThis dataset contains the information submitted to the State Water Resources Control Board and the Department of Water Resources on the required reporting form. The values have been aggregated into individual tables that roughly correspond to the sections within the reporting form. The original submitted files can be found at the [WUE Data Portal](https://wuedata.water.ca.gov/uwuo_plans)\r\n\r\nTo view the source data that pre-filled many of the fields within the reporting form, please visit [this page](https://data.ca.gov/dataset/urban-water-use-objectives-conservation).", + "name": "Axiom Data Science" + }, + "spatial": "-164.711,65.403,-164.711,65.403", + "temporal": "2014-10-23T18:00:00+00:00/2026-07-16T17:00:00+00:00", + "theme": [ + "geospatial" + ], + "title": "Checkers Creek, AK (2213)" + }, + "description": "Timeseries data from 'Checkers Creek, AK (2213)' (gov_usda_nrcs_scan_2213)", "distribution_titles": [ - "Best Management Practices 974(c)(3) Methodology", - "Best Management Practices 974(c)(1) Methodology", - "Water Loss Budget (System)", - "Best Management Practices 974(c)(2) Methodology (10% or Less)", - "Best Management Practices 974(c)(2) Methodology", - "Calculated Objectives", - "Dedicated Irrigation Meters and In-Lieu Technologies", - "Best Management Practices 974(c)(3) Methodology (10% or Less)", - 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"ca" + "" ], "code_repo_exempt": false, "code_repo_url": null, "description": null, - "id": "ae56c24b-46d3-4688-965e-94bdc208164f", - "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/state_CA.png", - "name": "State of California", - "organization_type": "State Government", - "slug": "california" + "id": "5f4f1195-e770-4a2a-8f75-195cd98860ce", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/noaa.png", + "name": "National Oceanic and Atmospheric Administration, Department of Commerce", + "organization_type": "Federal Government", + "slug": "noaa" }, "parent_identifier": null, - "popularity": 7, - "publisher": "California State Water Resources Control Board", - "slug": "urban-water-use-objectives-compiled-report-data", - "spatial_centroid": null, - "spatial_shape": null, - "theme": [], - "title": "Urban Water Use Objectives – Compiled Report Data", + "popularity": 2, + "publisher": "Axiom Data Science", + "slug": "checkers-creek-ak-2213", + "spatial_centroid": { + "lat": 65.403, + "lon": -164.711 + }, + "spatial_shape": { + "coordinates": [ + -164.711, + 65.403 + ], + "type": "Point" + }, + "theme": [ + "geospatial" + ], + "title": "Checkers Creek, AK (2213)", "type": "dataset" }, { - 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In some cases, the points represent small, discrete sites, but in many they represent larger areas such as regions, watersheds, or stream reaches. In a few cases the points are a laboratory site in which research will be/has been conducted. An attempt has been made to assess the point extent, but this was done by CDFW personnel based on the grant title and description, not the grantee. </span></p></div></div></div>", + "fn": "Axiom Data Science", + "hasEmail": "mailto:dataservices+aoos-erddap@axiomdatascience.com" + }, + "describedByType": "application/octet-stream", + "description": "Timeseries data from 'Kanuti Lake, AK (2212)' (gov_usda_nrcs_scan_2212)", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://data-cdfw.opendata.arcgis.com/datasets/CDFW::watershed-restoration-grant-awards-cdfw-ds2663", - "format": "HTML", - "title": "ArcGIS Hub Dataset" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://wildlife.ca.gov/Data/BIOS", - "title": "BIOS Homepage" - }, - { - "@type": "dcat:Distribution", - "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=ca34d299-c551-4388-95e8-f0603341bf99&limit=0", - "describedByType": "application/json", - "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/03cbdb1f521c4d9380f69ac2672bb64c/csv?layers=0", - "format": "CSV", - "mediaType": "text/csv", - "title": "CSV" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/03cbdb1f521c4d9380f69ac2672bb64c/geojson?layers=0", - "format": "GeoJSON", - "mediaType": "application/geo+json", - "title": "GeoJSON" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/03cbdb1f521c4d9380f69ac2672bb64c/kml?layers=0", - "format": "KML", - "mediaType": "application/vnd.google-earth.kml+xml", - "title": "KML" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/03cbdb1f521c4d9380f69ac2672bb64c/shapefile?layers=0", - "format": "ZIP", - "mediaType": "application/zip", - "title": "Shapefile" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2600_2699/ds2663.zip", - "format": "ZIP", - "mediaType": "application/zip", - "title": "Source download (File Geodatabase)" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds2663_fmu/FeatureServer/0", - "format": "ArcGIS GeoServices REST API", - "mediaType": "application/octet-stream", - "title": "ArcGIS GeoService" + "accessURL": "https://erddap.aoos.org/erddap/tabledap/gov_usda_nrcs_scan_2212.html", + "describedByType": "application/octet-stream", + "description": "ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.", + "mediaType": "text/html", + "title": "Data Subset Form" + }, + { + "@type": "dcat:Distribution", + "describedByType": "application/octet-stream", + "description": "ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data.", + "downloadURL": "https://erddap.aoos.org/erddap/tabledap/gov_usda_nrcs_scan_2212.graph", + "mediaType": "placeholder/value", + "title": "Make-A-Graph Form" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://sensors.ioos.us/#metadata/104364/station", + "describedByType": "application/octet-stream", + "description": "Background information from the source", + "mediaType": "text/html", + "title": "Background Information" } ], - "identifier": "2a69855c-ca94-48d1-a812-7f3d8bb328ac", - "issued": "2022-02-02T17:00:32.000Z", - "keyword": [ - "Auth_CDFW", - "CAOpenData", - "CDFW", - "California Department of Fish And Wildlife", - "California Department of Fish and Wildlife", - "California Natural Resources Agency", - "DS2663_20260915_wm", - "Delta", - "Proposition 1", - "WRGB", - "Watershed Restoration Grant Program", - "Watershed Restoration Grants Branch", - "acquisition", - "california department of fish and wildlife", - "implementation", - "meadows", - "planning", - "restoration" - ], - "license": "http://www.opendefinition.org/licenses/cc-by", - "modified": "2026-09-15T00:00:00.000Z", + "identifier": "https://data.noaa.gov/waf/NOAA/ioos/iso/xml/gov_usda_nrcs_scan_2212.xml", + "isPartOf": "Soil Climate Analysis Network (SCAN)", + "issued": "2026-09-15T00:00:00.000+00:00", + "keyword": [ + "GCMD:Earth Science > Terrestrial Hydrosphere > Snow/Ice > Snow Depth", + "GCMD:Earth Science > Land Surface > Soils > Soil Temperature", + "GCMD:Earth Science > Cryosphere > Snow/Ice > Snow Depth", + "GCMD:Earth Science > Atmosphere > Precipitation > Snow", + "GCMD:Earth Science > Atmosphere > Precipitation > Precipitation Amount", + "GCMD:Earth Science > Atmosphere > Precipitation > Liquid Water Equivalent", + "GCMD:Earth Science > Atmosphere > Atmospheric Winds > Surface Winds", + "GCMD:Earth Science > Atmosphere > Atmospheric Temperature > Surface Air Temperature", + "GCMD:Earth Science > Atmosphere > Atmospheric Temperature > Air Temperature", + "GCMD:Earth Science > Agriculture > Soils > Soil Temperature", + "Soil Climate Analysis Network (SCAN)", + "time", + "latitude", + "longitude", + "altitude", + "lwe_thickness_of_precipitation_amount", + "aggregate_quality_flag", + "quality_flag", + "solar_irradiance", + "aggregate_quality_flag", + "quality_flag", + "surface_snow_thickness", + "aggregate_quality_flag", + "quality_flag", + "soil_moisture_percent", + "aggregate_quality_flag", + "quality_flag", + "air_temperature", + "aggregate_quality_flag", + "quality_flag", + "soil_temperature", + "aggregate_quality_flag", + "quality_flag", + "wind_speed_of_gust", + "aggregate_quality_flag", + "quality_flag", + "wind_speed", + "aggregate_quality_flag", + "quality_flag", + "wind_from_direction", + "aggregate_quality_flag", + "quality_flag" + ], + "landingPage": "https://sensors.ioos.us/#metadata/104364/station", + "language": [], + "license": "https://creativecommons.org/publicdomain/zero/1.0/", + "modified": "2026-09-15T00:00:00.000+00:00", "publisher": { "@type": "org:Organization", - "name": "California Department of Fish and Wildlife" - }, - "theme": [ - "Natural Resources" - ], - "title": "Watershed Restoration Grant Awards - CDFW [ds2663]" - }, - "description": "<div style='text-align:Left;'><div><div><p><span>PROPOSITION 1 GRANTS </span></p><p><span>The Water Quality, Supply, and Infrastructure Improvement Act of 2014 (Proposition 1) provides funding to implement the three broad objectives of the California Water Action Plan: more reliable water supplies; the restoration of important species and habitat; and a more resilient, sustainably managed water resources system (water supply, water quality, flood protection, and environment). </span></p><p><span /></p><p><span>PROPOSITION 68 GRANTS </span></p><p><span>The California Drought, Water, Parks, Climate, Coastal Protection, And Outdoor Access For All Act Of 2018 (Proposition 68) provides funding for CDFW grants for projects that: 1) improve a community's ability to adapt to the unavoidable impacts of climate change; 2) improve and protect coastal and rural economies, agricultural viability, wildlife corridors, or habitat; and/or 3) develop future recreational opportunities, or enhance drought tolerance, landscape resilience, and water retention. </span></p><p><span /></p><p><span>GREENHOUSE GAS REDUCTION FUND GRANTS </span></p><p><span>Greenhouse Gas Reduction Projects are funded under California's Cap and Trade Program's Greenhouse Gas Reduction Fund (GGRF). These projects include mountain meadow and Sacramento-San Joaquin Delta wetland restoration projects that will lead to reductions in greenhouse gases. </span></p><p><span /></p><p><span>RESTORATION GRANTS PROGRAM </span></p><p><span>This program funds projects based on their suitability for each grant, not based on specific grant applications. It began in 2022 and accepts applications on an ongoing basis, giving out grants on a monthly cycle. As of 2023, the available grants are: Drought - Protecting Salmon, Addressing Climate Impacts, Wetlands and Mountain Meadow Restoration, Wildlife Corridors, Proposition 1, and Proposition 68. </span></p><p><span /></p><p><span>FISHERIES RESTORATION GRANT PROGRAM GRANTS </span></p><p><span>The Fisheries Restoration Grant Program (FRGP) was established in 1981 in response to rapidly declining populations of wild salmon and steelhead trout and deteriorating fish habitat in California. This competitive grant program has invested millions of dollars to support projects from sediment reduction to watershed education throughout coastal California. Contributing partners include federal and local governments, tribes, water districts, fisheries organizations, watershed restoration groups, the California Conservation Corps, AmeriCorps, and private landowners. FRGP’s database began in 1999 to capture and maintain data about habitat restoration projects in California benefiting anadromous fish. The FRGP specific data is managed by the California Department of Fish and Wildlife (CDFW) and funded by NOAA Fisheries and CDFW. </span></p><p><span /></p><p><span>DATA OVERVIEW </span></p><p><span>This data set contains points provided by the grantees representing the approximate location of the projects approved by the California Department of Wildlife's Watershed Restoration Grants Branch for funding under these grants through 2025. In some cases, the points represent small, discrete sites, but in many they represent larger areas such as regions, watersheds, or stream reaches. In a few cases the points are a laboratory site in which research will be/has been conducted. 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"_score": 5.795971, + "_score": 4.9385424, "_sort": [ - 1790282152510, - 5.795971, - 0, - "1966366f-7167-4cb1-98f8-edb0b6a8a582" + 1790317375238, + 4.9385424, + 3, + "0b98d56b-1caa-4c10-8108-db0bf1572a87" ], "dcat": { "@type": "dcat:Dataset", "accessLevel": "public", "contactPoint": { "@type": "vcard:Contact", - "fn": "BIOS_Admin", - "hasEmail": "mailto:geodata@wildlife.ca.gov" - }, - "description": "<div style='text-align:Left;'><div><div><p><span>CWHR Predicted Habitat Models represent areas of predicted suitable habitat for each species within its range. These models are built from the following principal inputs: </span></p><p><span>1) a statewide, best-available vegetation map (FVEG); </span></p><p><span>2) GIS data representing a species’ range; </span></p><p><span>3) the CWHR database of habitat suitability values for over 700 terrestrial vertebrate species. </span></p><p><span>Habitat suitability ranks of Low (non-zero values less than 0.34), Medium (0.34-0.66), and High (greater than 0.66) are based on the maximum suitability value across the 3 species life requisites: reproduction, feeding, and cover. Note that previous versions of these Predicted Habitat Models used an average across the 3 life requisites in order to obtain an overall suitability score for each habitat type and stage class. Habitat suitability scores were developed based on habitat patch sizes greater than 40 acres in size and are best interpreted for habitat patches greater than 200 acres in size. The FVEG landcover dataset is an aggregation of multiple statewide landcover and regional vegetation mapping efforts, conducted at different points in time (approximately 1990 up to time of publishing) and at various resolutions, compiled by the California Department of Forestry and Fire Protection (CALFIRE). FVEG uses the most current and consistent data available for each region of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Crosswalks were used to attribute the various data sources according to the CWHR habitat-type classification system. Attributing FVEG with CWHR habitat types allows for the extraction of areas with non-zero suitability values for each species within the bounds of its range, creating a series of maps of predicted suitable habitat which are species-specific. Because FVEG is an amalgam of disparate landcover assessment efforts across the state, the predictive power for determining suitable habitat will vary between species, and possibly even regionally for species which are widely distributed. While these maps represent CDFW’s best estimate of the presence of suitable habitat for any given species in the CWHR system, these maps are also limited by several factors: 1) the accuracy and resolution of vegetation maps in a given region; 2) the dynamic nature of the landscape in which fire and other disturbance events alter conditions at a greater frequency than mapping efforts can track; 3) the currency of expert knowledge, particularly as species adapt to changing land and climate conditions and the shifting of other species’ ranges; 4) the frequency of species-specific surveys across a representative sample of a species’ entire range; 5) metapopulation dynamics, which describes the shifting of populations within their environment as result of numerous types of interactions and responses. </span></p><p><span>CWHR GIS data representing predicted suitable habitat should not be used to indicate the presence or absence of a particular species at any specific site. CWHR predicted habitat models are named according to the 4-character alpha-numeric CWHR ID assigned to each species (5 characters in the case of subspecies or other sub-taxa). There is also a “CWHR Revision Tracking Table” containing a record for each species, its CWHR ID, scientific name, common name, and range and habitat model data revision history. 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The FVEG landcover dataset is an aggregation of multiple statewide landcover and regional vegetation mapping efforts, conducted at different points in time (approximately 1990 up to time of publishing) and at various resolutions, compiled by the California Department of Forestry and Fire Protection (CALFIRE). FVEG uses the most current and consistent data available for each region of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Crosswalks were used to attribute the various data sources according to the CWHR habitat-type classification system. Attributing FVEG with CWHR habitat types allows for the extraction of areas with non-zero suitability values for each species within the bounds of its range, creating a series of maps of predicted suitable habitat which are species-specific. Because FVEG is an amalgam of disparate landcover assessment efforts across the state, the predictive power for determining suitable habitat will vary between species, and possibly even regionally for species which are widely distributed. While these maps represent CDFW’s best estimate of the presence of suitable habitat for any given species in the CWHR system, these maps are also limited by several factors: 1) the accuracy and resolution of vegetation maps in a given region; 2) the dynamic nature of the landscape in which fire and other disturbance events alter conditions at a greater frequency than mapping efforts can track; 3) the currency of expert knowledge, particularly as species adapt to changing land and climate conditions and the shifting of other species’ ranges; 4) the frequency of species-specific surveys across a representative sample of a species’ entire range; 5) metapopulation dynamics, which describes the shifting of populations within their environment as result of numerous types of interactions and responses. </span></p><p><span>CWHR GIS data representing predicted suitable habitat should not be used to indicate the presence or absence of a particular species at any specific site. CWHR predicted habitat models are named according to the 4-character alpha-numeric CWHR ID assigned to each species (5 characters in the case of subspecies or other sub-taxa). There is also a “CWHR Revision Tracking Table” containing a record for each species, its CWHR ID, scientific name, common name, and range and habitat model data revision history. 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These models are built from the following principal inputs: </span></p><p><span>1) a statewide, best-available vegetation map (FVEG); </span></p><p><span>2) GIS data representing a species’ range; </span></p><p><span>3) the CWHR database of habitat suitability values for over 700 terrestrial vertebrate species. </span></p><p><span>Habitat suitability ranks of Low (non-zero values less than 0.34), Medium (0.34-0.66), and High (greater than 0.66) are based on the maximum suitability value across the 3 species life requisites: reproduction, feeding, and cover. Note that previous versions of these Predicted Habitat Models used an average across the 3 life requisites in order to obtain an overall suitability score for each habitat type and stage class. Habitat suitability scores were developed based on habitat patch sizes greater than 40 acres in size and are best interpreted for habitat patches greater than 200 acres in size. The FVEG landcover dataset is an aggregation of multiple statewide landcover and regional vegetation mapping efforts, conducted at different points in time (approximately 1990 up to time of publishing) and at various resolutions, compiled by the California Department of Forestry and Fire Protection (CALFIRE). FVEG uses the most current and consistent data available for each region of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Crosswalks were used to attribute the various data sources according to the CWHR habitat-type classification system. Attributing FVEG with CWHR habitat types allows for the extraction of areas with non-zero suitability values for each species within the bounds of its range, creating a series of maps of predicted suitable habitat which are species-specific. Because FVEG is an amalgam of disparate landcover assessment efforts across the state, the predictive power for determining suitable habitat will vary between species, and possibly even regionally for species which are widely distributed. While these maps represent CDFW’s best estimate of the presence of suitable habitat for any given species in the CWHR system, these maps are also limited by several factors: 1) the accuracy and resolution of vegetation maps in a given region; 2) the dynamic nature of the landscape in which fire and other disturbance events alter conditions at a greater frequency than mapping efforts can track; 3) the currency of expert knowledge, particularly as species adapt to changing land and climate conditions and the shifting of other species’ ranges; 4) the frequency of species-specific surveys across a representative sample of a species’ entire range; 5) metapopulation dynamics, which describes the shifting of populations within their environment as result of numerous types of interactions and responses. </span></p><p><span>CWHR GIS data representing predicted suitable habitat should not be used to indicate the presence or absence of a particular species at any specific site. CWHR predicted habitat models are named according to the 4-character alpha-numeric CWHR ID assigned to each species (5 characters in the case of subspecies or other sub-taxa). There is also a “CWHR Revision Tracking Table” containing a record for each species, its CWHR ID, scientific name, common name, and range and habitat model data revision history. CWHR species range models, predicted habitat models, and GIS data of the statewide distribution of all CWHR habitat types, along with the CWHR revision tracking table, are available for download at </span><a href='https://www.wildlife.ca.gov/Data/CWHR' target='_blank' style='text-decoration:underline;' rel='nofollow ugc noopener noreferrer'><span>https://www.wildlife.ca.gov/Data/CWHR</span></a><span>. </span></p></div></div></div>", + "fn": "Axiom Data Science", + "hasEmail": "mailto:dataservices+aoos-erddap@axiomdatascience.com" + }, + "describedByType": "application/octet-stream", + "description": "Timeseries data from 'Kanaryagak Camp, AK (2208)' (gov_usda_nrcs_scan_2208)", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://data-cdfw.opendata.arcgis.com/content/CDFW::sanderling-predicted-habitat-cwhr-b181-ds2134", - "format": "HTML", - "title": "ArcGIS Hub Dataset" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://wildlife.ca.gov/Data/BIOS", - "title": "BIOS Homepage" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://wildlife.ca.gov/Data/CWHR", - "title": "CWHR Homepage" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2100_2199/ds2134.zip", - "format": "ZIP", - "mediaType": "application/zip", - "title": "Source download (File Geodatabase)" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://tiledimageservices2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds2134_cru/ImageServer", - "format": "ArcGIS GeoServices REST API", - "mediaType": "application/octet-stream", - "title": "ArcGIS GeoService" + "accessURL": "https://erddap.aoos.org/erddap/tabledap/gov_usda_nrcs_scan_2208.html", + "describedByType": "application/octet-stream", + "description": "ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.", + "mediaType": "text/html", + "title": "Data Subset Form" + }, + { + "@type": "dcat:Distribution", + "describedByType": "application/octet-stream", + "description": "ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data.", + "downloadURL": "https://erddap.aoos.org/erddap/tabledap/gov_usda_nrcs_scan_2208.graph", + "mediaType": "placeholder/value", + "title": "Make-A-Graph Form" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://sensors.ioos.us/#metadata/104396/station", + "describedByType": "application/octet-stream", + "description": "Background information from the source", + "mediaType": "text/html", + "title": "Background Information" } ], - "identifier": "2bb28473-9371-4eca-9f93-7f4f7e54fef6", - "issued": "2026-09-17T16:32:31.000Z", - "keyword": [ - "Auth_CDFW", - "CAOpenData", - "CDFW", - "CWHR", - "CWHR Predicted Habitat Map", - "Calidris alba", - "California", - "California Department of Fish And Wildlife", - "California Natural Resources Agency", - "DS2134_20251117_wm", - "RADMAP", - "biota", - "bird", - "california department of fish and wildlife", - "environment", - "habitat", - "natural resources", - "sanderling", - "species", - "wildlife" - ], - "license": "http://www.opendefinition.org/licenses/cc-by", - "modified": "2026-09-17T16:42:12.000Z", + "identifier": "https://data.noaa.gov/waf/NOAA/ioos/iso/xml/gov_usda_nrcs_scan_2208.xml", + "isPartOf": "Soil Climate Analysis Network (SCAN)", + "issued": "2026-09-15T00:00:00.000+00:00", + "keyword": [ + "GCMD:Earth Science > Terrestrial Hydrosphere > Snow/Ice > Snow Depth", + "GCMD:Earth Science > Land Surface > Soils > Soil Temperature", + "GCMD:Earth Science > Cryosphere > Snow/Ice > Snow Depth", + "GCMD:Earth Science > Atmosphere > Precipitation > Snow", + "GCMD:Earth Science > Atmosphere > Precipitation > Precipitation Amount", + "GCMD:Earth Science > Atmosphere > Precipitation > Liquid Water Equivalent", + "GCMD:Earth Science > Atmosphere > Atmospheric Winds > Surface Winds", + "GCMD:Earth Science > Atmosphere > Atmospheric Temperature > Surface Air Temperature", + "GCMD:Earth Science > Atmosphere > Atmospheric Temperature > Air Temperature", + "GCMD:Earth Science > Agriculture > Soils > Soil Temperature", + "Soil Climate Analysis Network (SCAN)", + "time", + "latitude", + "longitude", + "altitude", + "lwe_thickness_of_precipitation_amount", + "aggregate_quality_flag", + "quality_flag", + "solar_irradiance", + "aggregate_quality_flag", + "quality_flag", + "surface_snow_thickness", + "aggregate_quality_flag", + "quality_flag", + "soil_moisture_percent", + "aggregate_quality_flag", + "quality_flag", + "air_temperature", + "aggregate_quality_flag", + "quality_flag", + "soil_temperature", + "aggregate_quality_flag", + "quality_flag", + "wind_speed_of_gust", + "aggregate_quality_flag", + "quality_flag", + "wind_speed", + "aggregate_quality_flag", + "quality_flag", + "wind_from_direction", + "aggregate_quality_flag", + "quality_flag" + ], + "landingPage": "https://sensors.ioos.us/#metadata/104396/station", + "language": [], + "license": "https://creativecommons.org/publicdomain/zero/1.0/", + "modified": "2026-09-15T00:00:00.000+00:00", "publisher": { "@type": "org:Organization", - "name": "California Department of Fish and Wildlife" - }, - "theme": [ - "Natural Resources" - ], - "title": "Sanderling Predicted Habitat - CWHR B181 [ds2134]" - }, - "description": "<div style='text-align:Left;'><div><div><p><span>CWHR Predicted Habitat Models represent areas of predicted suitable habitat for each species within its range. These models are built from the following principal inputs: </span></p><p><span>1) a statewide, best-available vegetation map (FVEG); </span></p><p><span>2) GIS data representing a species’ range; </span></p><p><span>3) the CWHR database of habitat suitability values for over 700 terrestrial vertebrate species. </span></p><p><span>Habitat suitability ranks of Low (non-zero values less than 0.34), Medium (0.34-0.66), and High (greater than 0.66) are based on the maximum suitability value across the 3 species life requisites: reproduction, feeding, and cover. Note that previous versions of these Predicted Habitat Models used an average across the 3 life requisites in order to obtain an overall suitability score for each habitat type and stage class. Habitat suitability scores were developed based on habitat patch sizes greater than 40 acres in size and are best interpreted for habitat patches greater than 200 acres in size. The FVEG landcover dataset is an aggregation of multiple statewide landcover and regional vegetation mapping efforts, conducted at different points in time (approximately 1990 up to time of publishing) and at various resolutions, compiled by the California Department of Forestry and Fire Protection (CALFIRE). FVEG uses the most current and consistent data available for each region of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Crosswalks were used to attribute the various data sources according to the CWHR habitat-type classification system. Attributing FVEG with CWHR habitat types allows for the extraction of areas with non-zero suitability values for each species within the bounds of its range, creating a series of maps of predicted suitable habitat which are species-specific. Because FVEG is an amalgam of disparate landcover assessment efforts across the state, the predictive power for determining suitable habitat will vary between species, and possibly even regionally for species which are widely distributed. While these maps represent CDFW’s best estimate of the presence of suitable habitat for any given species in the CWHR system, these maps are also limited by several factors: 1) the accuracy and resolution of vegetation maps in a given region; 2) the dynamic nature of the landscape in which fire and other disturbance events alter conditions at a greater frequency than mapping efforts can track; 3) the currency of expert knowledge, particularly as species adapt to changing land and climate conditions and the shifting of other species’ ranges; 4) the frequency of species-specific surveys across a representative sample of a species’ entire range; 5) metapopulation dynamics, which describes the shifting of populations within their environment as result of numerous types of interactions and responses. </span></p><p><span>CWHR GIS data representing predicted suitable habitat should not be used to indicate the presence or absence of a particular species at any specific site. CWHR predicted habitat models are named according to the 4-character alpha-numeric CWHR ID assigned to each species (5 characters in the case of subspecies or other sub-taxa). There is also a “CWHR Revision Tracking Table” containing a record for each species, its CWHR ID, scientific name, common name, and range and habitat model data revision history. CWHR species range models, predicted habitat models, and GIS data of the statewide distribution of all CWHR habitat types, along with the CWHR revision tracking table, are available for download at </span><a href='https://www.wildlife.ca.gov/Data/CWHR' target='_blank' style='text-decoration:underline;' rel='nofollow ugc noopener noreferrer'><span>https://www.wildlife.ca.gov/Data/CWHR</span></a><span>. </span></p></div></div></div>", + "name": "Axiom Data Science" + }, + "spatial": "-165.12042,61.3588,-165.12042,61.3588", + "temporal": "2013-08-27T08:00:00+00:00/2017-04-04T14:00:00+00:00", + "theme": [ + "geospatial" + ], + "title": "Kanaryagak Camp, AK (2208)" + }, + "description": "Timeseries data from 'Kanaryagak Camp, AK (2208)' (gov_usda_nrcs_scan_2208)", "distribution_titles": [ - "ArcGIS Hub Dataset", - "BIOS Homepage", - "CWHR Homepage", - "Source download (File Geodatabase)", - "ArcGIS GeoService" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/2f68117d-9401-49b8-b754-c79ce1ffa8b9", - 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These models are built from the following principal inputs: </span></p><p><span>1) a statewide, best-available vegetation map (FVEG); </span></p><p><span>2) GIS data representing a species’ range; </span></p><p><span>3) the CWHR database of habitat suitability values for over 700 terrestrial vertebrate species. </span></p><p><span>Habitat suitability ranks of Low (non-zero values less than 0.34), Medium (0.34-0.66), and High (greater than 0.66) are based on the maximum suitability value across the 3 species life requisites: reproduction, feeding, and cover. Note that previous versions of these Predicted Habitat Models used an average across the 3 life requisites in order to obtain an overall suitability score for each habitat type and stage class. Habitat suitability scores were developed based on habitat patch sizes greater than 40 acres in size and are best interpreted for habitat patches greater than 200 acres in size. The FVEG landcover dataset is an aggregation of multiple statewide landcover and regional vegetation mapping efforts, conducted at different points in time (approximately 1990 up to time of publishing) and at various resolutions, compiled by the California Department of Forestry and Fire Protection (CALFIRE). FVEG uses the most current and consistent data available for each region of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Crosswalks were used to attribute the various data sources according to the CWHR habitat-type classification system. Attributing FVEG with CWHR habitat types allows for the extraction of areas with non-zero suitability values for each species within the bounds of its range, creating a series of maps of predicted suitable habitat which are species-specific. Because FVEG is an amalgam of disparate landcover assessment efforts across the state, the predictive power for determining suitable habitat will vary between species, and possibly even regionally for species which are widely distributed. While these maps represent CDFW’s best estimate of the presence of suitable habitat for any given species in the CWHR system, these maps are also limited by several factors: 1) the accuracy and resolution of vegetation maps in a given region; 2) the dynamic nature of the landscape in which fire and other disturbance events alter conditions at a greater frequency than mapping efforts can track; 3) the currency of expert knowledge, particularly as species adapt to changing land and climate conditions and the shifting of other species’ ranges; 4) the frequency of species-specific surveys across a representative sample of a species’ entire range; 5) metapopulation dynamics, which describes the shifting of populations within their environment as result of numerous types of interactions and responses. </span></p><p><span>CWHR GIS data representing predicted suitable habitat should not be used to indicate the presence or absence of a particular species at any specific site. CWHR predicted habitat models are named according to the 4-character alpha-numeric CWHR ID assigned to each species (5 characters in the case of subspecies or other sub-taxa). There is also a “CWHR Revision Tracking Table” containing a record for each species, its CWHR ID, scientific name, common name, and range and habitat model data revision history. 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The FVEG landcover dataset is an aggregation of multiple statewide landcover and regional vegetation mapping efforts, conducted at different points in time (approximately 1990 up to time of publishing) and at various resolutions, compiled by the California Department of Forestry and Fire Protection (CALFIRE). FVEG uses the most current and consistent data available for each region of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Crosswalks were used to attribute the various data sources according to the CWHR habitat-type classification system. Attributing FVEG with CWHR habitat types allows for the extraction of areas with non-zero suitability values for each species within the bounds of its range, creating a series of maps of predicted suitable habitat which are species-specific. Because FVEG is an amalgam of disparate landcover assessment efforts across the state, the predictive power for determining suitable habitat will vary between species, and possibly even regionally for species which are widely distributed. While these maps represent CDFW’s best estimate of the presence of suitable habitat for any given species in the CWHR system, these maps are also limited by several factors: 1) the accuracy and resolution of vegetation maps in a given region; 2) the dynamic nature of the landscape in which fire and other disturbance events alter conditions at a greater frequency than mapping efforts can track; 3) the currency of expert knowledge, particularly as species adapt to changing land and climate conditions and the shifting of other species’ ranges; 4) the frequency of species-specific surveys across a representative sample of a species’ entire range; 5) metapopulation dynamics, which describes the shifting of populations within their environment as result of numerous types of interactions and responses. </span></p><p><span>CWHR GIS data representing predicted suitable habitat should not be used to indicate the presence or absence of a particular species at any specific site. CWHR predicted habitat models are named according to the 4-character alpha-numeric CWHR ID assigned to each species (5 characters in the case of subspecies or other sub-taxa). There is also a “CWHR Revision Tracking Table” containing a record for each species, its CWHR ID, scientific name, common name, and range and habitat model data revision history. CWHR species range models, predicted habitat models, and GIS data of the statewide distribution of all CWHR habitat types, along with the CWHR revision tracking table, are available for download at </span><a href='https://www.wildlife.ca.gov/Data/CWHR' target='_blank' style='text-decoration:underline;' rel='nofollow ugc noopener noreferrer'><span>https://www.wildlife.ca.gov/Data/CWHR</span></a><span>. </span></p></div></div></div>", + "name": "Axiom Data Science" + }, + "spatial": "-151.38333,59.68333,-151.38333,59.68333", + "temporal": "2002-05-08T02:00:00+00:00/2026-09-15T05:00:00+00:00", + "theme": [ + "geospatial" + ], + "title": "Schor Garden, AK (2063)" + }, + "description": "Timeseries data from 'Schor Garden, AK (2063)' (gov_usda_nrcs_scan_2063)", "distribution_titles": [ - "ArcGIS Hub Dataset", - "BIOS Homepage", - "CWHR Homepage", - "Source download (File Geodatabase)", - "ArcGIS GeoService" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/4137f2f8-ebef-4c5a-9b4f-541c28c4c4c4", - 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These models are built from the following principal inputs: </span></p><p><span>1) a statewide, best-available vegetation map (FVEG); </span></p><p><span>2) GIS data representing a species’ range; </span></p><p><span>3) the CWHR database of habitat suitability values for over 700 terrestrial vertebrate species. </span></p><p><span>Habitat suitability ranks of Low (non-zero values less than 0.34), Medium (0.34-0.66), and High (greater than 0.66) are based on the maximum suitability value across the 3 species life requisites: reproduction, feeding, and cover. Note that previous versions of these Predicted Habitat Models used an average across the 3 life requisites in order to obtain an overall suitability score for each habitat type and stage class. Habitat suitability scores were developed based on habitat patch sizes greater than 40 acres in size and are best interpreted for habitat patches greater than 200 acres in size. The FVEG landcover dataset is an aggregation of multiple statewide landcover and regional vegetation mapping efforts, conducted at different points in time (approximately 1990 up to time of publishing) and at various resolutions, compiled by the California Department of Forestry and Fire Protection (CALFIRE). FVEG uses the most current and consistent data available for each region of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Crosswalks were used to attribute the various data sources according to the CWHR habitat-type classification system. Attributing FVEG with CWHR habitat types allows for the extraction of areas with non-zero suitability values for each species within the bounds of its range, creating a series of maps of predicted suitable habitat which are species-specific. Because FVEG is an amalgam of disparate landcover assessment efforts across the state, the predictive power for determining suitable habitat will vary between species, and possibly even regionally for species which are widely distributed. While these maps represent CDFW’s best estimate of the presence of suitable habitat for any given species in the CWHR system, these maps are also limited by several factors: 1) the accuracy and resolution of vegetation maps in a given region; 2) the dynamic nature of the landscape in which fire and other disturbance events alter conditions at a greater frequency than mapping efforts can track; 3) the currency of expert knowledge, particularly as species adapt to changing land and climate conditions and the shifting of other species’ ranges; 4) the frequency of species-specific surveys across a representative sample of a species’ entire range; 5) metapopulation dynamics, which describes the shifting of populations within their environment as result of numerous types of interactions and responses. </span></p><p><span>CWHR GIS data representing predicted suitable habitat should not be used to indicate the presence or absence of a particular species at any specific site. CWHR predicted habitat models are named according to the 4-character alpha-numeric CWHR ID assigned to each species (5 characters in the case of subspecies or other sub-taxa). There is also a “CWHR Revision Tracking Table” containing a record for each species, its CWHR ID, scientific name, common name, and range and habitat model data revision history. CWHR species range models, predicted habitat models, and GIS data of the statewide distribution of all CWHR habitat types, along with the CWHR revision tracking table, are available for download at </span><a href='https://www.wildlife.ca.gov/Data/CWHR' target='_blank' style='text-decoration:underline;' rel='nofollow ugc noopener noreferrer'><span>https://www.wildlife.ca.gov/Data/CWHR</span></a><span>. </span></p></div></div></div>", + "fn": "Axiom Data Science", + "hasEmail": "mailto:dataservices+aoos-erddap@axiomdatascience.com" + }, + "describedByType": "application/octet-stream", + "description": "Timeseries data from 'Moose Inc, AK (2062)' (gov_usda_nrcs_scan_2062)", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://data-cdfw.opendata.arcgis.com/content/CDFW::least-sandpiper-predicted-habitat-cwhr-b185-ds2136", - "format": "HTML", - "title": "ArcGIS Hub Dataset" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://wildlife.ca.gov/Data/BIOS", - "title": "BIOS Homepage" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://wildlife.ca.gov/Data/CWHR", - "title": "CWHR Homepage" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2100_2199/ds2136.zip", - "format": "ZIP", - "mediaType": "application/zip", - "title": "Source download (File Geodatabase)" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://tiledimageservices2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds2136_cru/ImageServer", - "format": "ArcGIS GeoServices REST API", - "mediaType": "application/octet-stream", - "title": "ArcGIS GeoService" + "accessURL": "https://erddap.aoos.org/erddap/tabledap/gov_usda_nrcs_scan_2062.html", + "describedByType": "application/octet-stream", + "description": "ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.", + "mediaType": "text/html", + "title": "Data Subset Form" + }, + { + "@type": "dcat:Distribution", + "describedByType": "application/octet-stream", + "description": "ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data.", + "downloadURL": "https://erddap.aoos.org/erddap/tabledap/gov_usda_nrcs_scan_2062.graph", + "mediaType": "placeholder/value", + "title": "Make-A-Graph Form" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://sensors.ioos.us/#metadata/104365/station", + "describedByType": "application/octet-stream", + "description": "Background information from the source", + "mediaType": "text/html", + "title": "Background Information" } ], - "identifier": "f55661f5-adbd-4958-9b47-d32fbb84caae", - "issued": "2026-09-17T18:04:20.000Z", - "keyword": [ - "Auth_CDFW", - "CAOpenData", - "CDFW", - "CWHR", - "CWHR Predicted Habitat Map", - "Calidris minutilla", - "California", - "California Department of Fish And Wildlife", - "California Natural Resources Agency", - "DS2136_20251117_wm", - "RADMAP", - "biota", - "bird", - "california department of fish and wildlife", - "environment", - "habitat", - "least sandpiper", - "natural resources", - "species", - "wildlife" - ], - "license": "http://www.opendefinition.org/licenses/cc-by", - "modified": "2026-09-17T18:14:28.000Z", + "identifier": "https://data.noaa.gov/waf/NOAA/ioos/iso/xml/gov_usda_nrcs_scan_2062.xml", + "isPartOf": "Soil Climate Analysis Network (SCAN)", + "issued": "2026-09-15T00:00:00.000+00:00", + "keyword": [ + "GCMD:Earth Science > Land Surface > Soils > Soil Temperature", + "GCMD:Earth Science > Atmosphere > Precipitation > Precipitation Rate", + "GCMD:Earth Science > Atmosphere > Precipitation > Precipitation Amount", + "GCMD:Earth Science > Atmosphere > Precipitation > Liquid Water Equivalent", + "GCMD:Earth Science > Atmosphere > Atmospheric Winds > Surface Winds", + "GCMD:Earth Science > Atmosphere > Atmospheric Water Vapor > Humidity", + "GCMD:Earth Science > Atmosphere > Atmospheric Temperature > Surface Air Temperature", + "GCMD:Earth Science > Atmosphere > Atmospheric Temperature > Air Temperature", + "GCMD:Earth Science > Agriculture > Soils > Soil Temperature", + "Soil Climate Analysis Network (SCAN)", + "time", + "latitude", + "longitude", + "altitude", + "relative_humidity", + "aggregate_quality_flag", + "quality_flag", + "lwe_precipitation_rate", + "aggregate_quality_flag", + "quality_flag", + "lwe_thickness_of_precipitation_amount", + "aggregate_quality_flag", + "quality_flag", + "solar_irradiance", + "aggregate_quality_flag", + "quality_flag", + "soil_moisture_percent", + "aggregate_quality_flag", + "quality_flag", + "soil_salinity", + "aggregate_quality_flag", + "quality_flag", + "air_temperature", + "aggregate_quality_flag", + "quality_flag", + "soil_temperature", + "aggregate_quality_flag", + "quality_flag", + "wind_speed_of_gust", + "aggregate_quality_flag", + "quality_flag", + "wind_speed", + "aggregate_quality_flag", + "quality_flag", + "wind_from_direction", + "aggregate_quality_flag", + "quality_flag" + ], + "landingPage": "https://sensors.ioos.us/#metadata/104365/station", + "language": [], + "license": "https://creativecommons.org/publicdomain/zero/1.0/", + "modified": "2026-09-15T00:00:00.000+00:00", "publisher": { "@type": "org:Organization", - "name": "California Department of Fish and Wildlife" - }, - "theme": [ - "Natural Resources" - ], - "title": "Least Sandpiper Predicted Habitat - CWHR B185 [ds2136]" - }, - "description": "<div style='text-align:Left;'><div><div><p><span>CWHR Predicted Habitat Models represent areas of predicted suitable habitat for each species within its range. These models are built from the following principal inputs: </span></p><p><span>1) a statewide, best-available vegetation map (FVEG); </span></p><p><span>2) GIS data representing a species’ range; </span></p><p><span>3) the CWHR database of habitat suitability values for over 700 terrestrial vertebrate species. </span></p><p><span>Habitat suitability ranks of Low (non-zero values less than 0.34), Medium (0.34-0.66), and High (greater than 0.66) are based on the maximum suitability value across the 3 species life requisites: reproduction, feeding, and cover. Note that previous versions of these Predicted Habitat Models used an average across the 3 life requisites in order to obtain an overall suitability score for each habitat type and stage class. Habitat suitability scores were developed based on habitat patch sizes greater than 40 acres in size and are best interpreted for habitat patches greater than 200 acres in size. The FVEG landcover dataset is an aggregation of multiple statewide landcover and regional vegetation mapping efforts, conducted at different points in time (approximately 1990 up to time of publishing) and at various resolutions, compiled by the California Department of Forestry and Fire Protection (CALFIRE). FVEG uses the most current and consistent data available for each region of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Crosswalks were used to attribute the various data sources according to the CWHR habitat-type classification system. Attributing FVEG with CWHR habitat types allows for the extraction of areas with non-zero suitability values for each species within the bounds of its range, creating a series of maps of predicted suitable habitat which are species-specific. Because FVEG is an amalgam of disparate landcover assessment efforts across the state, the predictive power for determining suitable habitat will vary between species, and possibly even regionally for species which are widely distributed. While these maps represent CDFW’s best estimate of the presence of suitable habitat for any given species in the CWHR system, these maps are also limited by several factors: 1) the accuracy and resolution of vegetation maps in a given region; 2) the dynamic nature of the landscape in which fire and other disturbance events alter conditions at a greater frequency than mapping efforts can track; 3) the currency of expert knowledge, particularly as species adapt to changing land and climate conditions and the shifting of other species’ ranges; 4) the frequency of species-specific surveys across a representative sample of a species’ entire range; 5) metapopulation dynamics, which describes the shifting of populations within their environment as result of numerous types of interactions and responses. </span></p><p><span>CWHR GIS data representing predicted suitable habitat should not be used to indicate the presence or absence of a particular species at any specific site. CWHR predicted habitat models are named according to the 4-character alpha-numeric CWHR ID assigned to each species (5 characters in the case of subspecies or other sub-taxa). There is also a “CWHR Revision Tracking Table” containing a record for each species, its CWHR ID, scientific name, common name, and range and habitat model data revision history. CWHR species range models, predicted habitat models, and GIS data of the statewide distribution of all CWHR habitat types, along with the CWHR revision tracking table, are available for download at </span><a href='https://www.wildlife.ca.gov/Data/CWHR' target='_blank' style='text-decoration:underline;' rel='nofollow ugc noopener noreferrer'><span>https://www.wildlife.ca.gov/Data/CWHR</span></a><span>. </span></p></div></div></div>", + "name": "Axiom Data Science" + }, + "spatial": "-151.36667,59.68333,-151.36667,59.68333", + "temporal": "2002-05-07T21:00:00+00:00/2026-09-15T05:00:00+00:00", + "theme": [ + "geospatial" + ], + "title": "Moose Inc, AK (2062)" + }, + "description": "Timeseries data from 'Moose Inc, AK (2062)' (gov_usda_nrcs_scan_2062)", "distribution_titles": [ - "ArcGIS Hub Dataset", - "BIOS Homepage", - "CWHR Homepage", - "Source download (File Geodatabase)", - "ArcGIS GeoService" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/21438015-fb78-412d-b025-7e2cc7b203cf", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/21438015-fb78-412d-b025-7e2cc7b203cf/raw", + "Data Subset Form", + "Make-A-Graph Form", + "Background Information" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/6e61dde4-45b4-455c-8a4e-071b771cda4d", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/6e61dde4-45b4-455c-8a4e-071b771cda4d/raw", + "harvest_record_transformed": "https://catalog.data.gov/harvest_record/6e61dde4-45b4-455c-8a4e-071b771cda4d/transformed", "has_download": true, - "has_spatial": false, - "identifier": "f55661f5-adbd-4958-9b47-d32fbb84caae", - "keyword": [ - "Auth_CDFW", - "CAOpenData", - "CDFW", - "CWHR", - "CWHR Predicted Habitat Map", - "Calidris minutilla", - "California", - "California Department of Fish And Wildlife", - "California Natural Resources Agency", - "DS2136_20251117_wm", - "RADMAP", - "biota", - "bird", - "california department of fish and wildlife", - "environment", - "habitat", - "least sandpiper", - "natural resources", - "species", - "wildlife" - ], - "last_harvested_date": "2026-09-24T20:35:51.882302", + "has_spatial": true, + "identifier": "https://data.noaa.gov/waf/NOAA/ioos/iso/xml/gov_usda_nrcs_scan_2062.xml", + "keyword": [ + "GCMD:Earth Science > Land Surface > Soils > Soil Temperature", + "GCMD:Earth Science > Atmosphere > Precipitation > Precipitation Rate", + "GCMD:Earth Science > Atmosphere > Precipitation > Precipitation Amount", + "GCMD:Earth Science > Atmosphere > Precipitation > Liquid Water Equivalent", + "GCMD:Earth Science > Atmosphere > Atmospheric Winds > Surface Winds", + "GCMD:Earth Science > Atmosphere > Atmospheric Water Vapor > Humidity", + "GCMD:Earth Science > Atmosphere > Atmospheric Temperature > Surface Air Temperature", + "GCMD:Earth Science > Atmosphere > Atmospheric Temperature > Air Temperature", + "GCMD:Earth Science > Agriculture > Soils > Soil Temperature", + "Soil Climate Analysis Network (SCAN)", + "time", + "latitude", + "longitude", + "altitude", + "relative_humidity", + "aggregate_quality_flag", + "quality_flag", + "lwe_precipitation_rate", + "aggregate_quality_flag", + "quality_flag", + "lwe_thickness_of_precipitation_amount", + "aggregate_quality_flag", + "quality_flag", + "solar_irradiance", + "aggregate_quality_flag", + "quality_flag", + "soil_moisture_percent", + "aggregate_quality_flag", + "quality_flag", + "soil_salinity", + "aggregate_quality_flag", + "quality_flag", + "air_temperature", + "aggregate_quality_flag", + "quality_flag", + "soil_temperature", + "aggregate_quality_flag", + "quality_flag", + "wind_speed_of_gust", + "aggregate_quality_flag", + "quality_flag", + "wind_speed", + "aggregate_quality_flag", + "quality_flag", + "wind_from_direction", + "aggregate_quality_flag", + "quality_flag" + ], + "last_harvested_date": "2026-09-25T06:22:47.843652", "organization": { "aliases": [ - "ca" + "" ], "code_repo_exempt": false, "code_repo_url": null, "description": null, - "id": "ae56c24b-46d3-4688-965e-94bdc208164f", - "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/state_CA.png", - "name": "State of California", - "organization_type": "State Government", - "slug": "california" + "id": "5f4f1195-e770-4a2a-8f75-195cd98860ce", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/noaa.png", + "name": "National Oceanic and Atmospheric Administration, Department of Commerce", + "organization_type": "Federal Government", + "slug": "noaa" }, "parent_identifier": null, - "popularity": 0, - "publisher": "California Department of Fish and Wildlife", - "slug": "least-sandpiper-predicted-habitat-cwhr-b185-ds2136", - "spatial_centroid": null, - "spatial_shape": null, - "theme": [ - "Natural Resources" - ], - "title": "Least Sandpiper Predicted Habitat - CWHR B185 [ds2136]", + "popularity": 1, + "publisher": "Axiom Data Science", + "slug": "moose-inc-ak-2062", + "spatial_centroid": { + "lat": 59.68333, + "lon": -151.36667 + }, + "spatial_shape": { + "coordinates": [ + -151.36667, + 59.68333 + ], + "type": "Point" + }, + "theme": [ + "geospatial" + ], + "title": "Moose Inc, AK (2062)", "type": "dataset" }, { - "_score": 11.473654, + "_score": 4.328949, "_sort": [ - 1790282151545, - 11.473654, - 7, - "f0016885-d8ee-474e-b799-43d17af7ee51" + 1790317366574, + 4.328949, + 1, + "7acfb167-b642-4255-a215-abe138dde9d8" ], "dcat": { "@type": "dcat:Dataset", "accessLevel": "public", "contactPoint": { "@type": "vcard:Contact", - "fn": "ORPP Conservation Unit", - "hasEmail": "mailto:orpp-waterconservation@waterboards.ca.gov" - }, - "description": "The Making Conservation a California Way of Life regulation requires urban retail water suppliers (URWS) to annually calculate their Urban Water Use Objective (UWUO), which is the sum of efficiency budgets for a subset of urban water uses: residential indoor water use, residential outdoor water use, real water loss and commercial, industrial and institutional landscapes with dedicated irrigation meters. Each efficiency budget will be calculated using a statewide efficiency standard and local service area characteristics such as population, climate, and landscape area. Where relevant, suppliers may also include in their objective “variances” for unique uses, or a bonus incentive for potable recycled water use. \r\n\r\nThis dataset contains information gathered from reports submitted to the State Water Board, the Department of Water Resources, and other relevant information sources. It also contains information derived by the Board and the Department for the purpose of the regulation. The values in these tables are used to pre-fill a number of fields within the UWUO reporting form that URWS are required to submit by January 1 of each year, starting in 2025. \r\n\r\nTo view the submitted values, please visit [this page](https://data.ca.gov/dataset/urban-water-use-objectives-compiled-report-data).", + "fn": "Axiom Data Science", + "hasEmail": "mailto:dataservices+secoora-erddap@axiomdatascience.com" + }, + "describedByType": "application/octet-stream", + "description": "Timeseries data from 'Everglades ARS, FL (2051)' (gov_usda_nrcs_scan_2051)", "distribution": [ { "@type": "dcat:Distribution", - "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=124a896d-872c-42a6-a086-18467af8d045&limit=0", - "describedByType": "application/json", - "description": "This table is a compilation of the data submitted by urban retail water suppliers to the State Water Board via the Variance and Temporary Provisions Request Form. It tracks the dates of submission, approval statuses and approval dates for variances or temporary provisions.", - "downloadURL": "https://data.ca.gov/dataset/d3d441c4-2c9e-4bd6-8e85-77214e728959/resource/124a896d-872c-42a6-a086-18467af8d045/download/submission_approval_var_provn.csv", - "format": "CSV", - "mediaType": "text/csv", - "title": "[Archived] Submissions and Approvals for Variances and Temporary Provisions" - }, - { - "@type": "dcat:Distribution", - "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=16a2fe04-065c-4923-9ce4-ec858e7e89fc&limit=0", - "describedByType": "application/json", - "description": "The Water Conservation Act of 2009 (Senate Bill X7-7) was enacted in November 2009 and required that all water suppliers increase their water use efficiency. Water Code section 10608.20 directed urban retail water suppliers (suppliers) to develop 2020 urban water use targets.\r\n\r\nThis table contains the suppliers’ individual SB X7-7 targets. Because some suppliers deducted discrete demands from gross water use when calculating their 2020 urban water use targets, the table also contains the volume of those deducted demands, specifically for indirect recycled water and process water. \r\n\r\nWater Code section 10608.20(a)(1) and 10608.28 provided that suppliers may plan, comply, and report on a regional basis, individual basis, or both. Each group of water suppliers agreeing among themselves to plan, comply, and report as a region is referred to as a “regional alliance.” For those suppliers that took part in a regional alliance, this table also lists the regional alliance name and indicates whether the regional alliance has met its target.\r\n\r\nAll data within this table were derived from the [2020 Urban Water Management Plans Open Data](https://data.ca.gov/dataset/2020-uwmp-data-export-tables), which were created using data submitted by suppliers to Department. Specifically, this table was created using the following fields:\r\n\r\n* Individual SB X7-7 target from Tab SB_X7-7_CF_Table_9, column K\r\n* Indirect recycled water volume from Tab SB_X7-7_CF_Table_4, column J\r\n* Process water volume from Tab SB_X7-7_CF_Table_4, column L\r\n* Recycled and process water units from Tab SB_X7-7_VF_Table_0, column F\r\n* Regional alliance name from Tab SB_X7-7_CF_Table_9 \r\n* Whether the regional alliance met its target Tab Regional_Alliance_Summary, column F\r\n\r\nAs described in the [2020 Urban Water Management Guidebook](https://water.ca.gov/-/media/DWR-Website/Web-Pages/Programs/Water-Use-And-Efficiency/Urban-Water-Use-Efficiency/Urban-Water-Management-Plans/Final-2020-UWMP-Guidebook/UWMP-Guidebook-2020---Final-032921.pdf)[(Appendix P.3.2)](https://water.ca.gov/-/media/DWR-Website/Web-Pages/Programs/Water-Use-And-Efficiency/Urban-Water-Use-Efficiency/Urban-Water-Management-Plans/Final-2020-UWMP-Guidebook/Appendix-P---UWMP-2020.pdf), a supplier’s target may be updated if its service area has changed because of a consolidation, merger, annexation, expansion, or contraction. To learn more about this process, please e-mail [uwmphelp@water.ca.gov](mailto:uwmphelp@water.ca.gov).", - "downloadURL": "https://data.ca.gov/dataset/d3d441c4-2c9e-4bd6-8e85-77214e728959/resource/16a2fe04-065c-4923-9ce4-ec858e7e89fc/download/sbx_table.csv", - "format": "CSV", - "mediaType": "text/csv", - "title": "SB X7-7 Targets for Urban Retail Water Suppliers" - }, - { - "@type": "dcat:Distribution", - "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=1f1e87fa-8680-4693-92c9-49f8da3d9116&limit=0", - "describedByType": "application/json", - "description": "Consistent with California Code of Regulations title 23 §980 through §986, urban retail water suppliers are required to comply with real water loss standards. \r\n\r\nThis table contains the real water loss standards for public water systems owned and operated by urban retail water suppliers. The list of public water systems in this resource is based on the PWSID-DWRID crosswalk resource that is also a part of the [Urban Water Use Objectives dataset and the April 9, 2024 water loss standards](https://www.waterboards.ca.gov/conservation/water_loss_control.html).\r\n\r\nConsistent with §984 of the California Code of Regulations, default parameters in the economic model used to generate system-specific standards may be updated, upon supplier request. To submit a request for an update, please email [DDW-WaterLossControl@waterboards.ca.gov](mailto:DDW-WaterLossControl@waterboards.ca.gov).", - "downloadURL": "https://data.ca.gov/dataset/d3d441c4-2c9e-4bd6-8e85-77214e728959/resource/1f1e87fa-8680-4693-92c9-49f8da3d9116/download/water_loss_standards.csv", - "format": "CSV", - "mediaType": "text/csv", - "title": "Real Water Loss Budget: System-Specific Standards" - }, - { - "@type": "dcat:Distribution", - "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=27559969-e5d4-4d5f-a95d-7ecc4fc4f5e3&limit=0", - "describedByType": "application/json", - "description": "This table is a compilation of the data submitted by urban retail water suppliers to the State Water Board via the Variance and Temporary Provisions Request Form. It tracks which suppliers have one or more approved variances or temporary provisions for residential indoor water use, as well as maintaining a record of the submitted and approved data points. This is the second version of the table, and removes all rows but those with approved residential indoor variances and temporary provisions for the given reporting year.", - "downloadURL": "https://data.ca.gov/dataset/d3d441c4-2c9e-4bd6-8e85-77214e728959/resource/27559969-e5d4-4d5f-a95d-7ecc4fc4f5e3/download/res_indoor_var_provn.csv", - "format": "CSV", - "mediaType": "text/csv", - "title": "Residential Indoor Variances and Temporary Provisions" - }, - { - "@type": "dcat:Distribution", - "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=3f4fe048-1d4c-44ef-b311-45222e2998c4&limit=0", - "describedByType": "application/json", - "description": "This table is a compilation of the data submitted by urban retail water suppliers to the State Water Board via the Variance and Temporary Provisions Request Form. It tracks which suppliers have approved variances for responding to state or local emergencies and/or for landscapes irrigated with recycled water containing high levels of total dissolved solids, as well as maintaining a record of the submitted and approved data points.", - "downloadURL": "https://data.ca.gov/dataset/d3d441c4-2c9e-4bd6-8e85-77214e728959/resource/3f4fe048-1d4c-44ef-b311-45222e2998c4/download/emergency_tds_var_provn.csv", - "format": "CSV", - "mediaType": "text/csv", - "title": "[Archived] Emergency and High Total Dissolved Solids (TDS) Variances" - }, - { - "@type": "dcat:Distribution", - "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=4a391691-5cd3-4179-9d68-4f8f10c0291a&limit=0", - "describedByType": "application/json", - "description": "This table is a compilation of the data submitted by urban retail water suppliers to the State Water Board via the Variance and Temporary Provisions Request Form. It tracks the dates of submission, approval statuses and approval dates for variances or temporary provisions. This is the second version of the table, and removes extraneous rows and adds start and end dates to approvals.", - "downloadURL": "https://data.ca.gov/dataset/d3d441c4-2c9e-4bd6-8e85-77214e728959/resource/4a391691-5cd3-4179-9d68-4f8f10c0291a/download/submission_approval_var_provn_rev.csv", - "format": "CSV", - "mediaType": "text/csv", - "title": "Submissions and Approvals for Variances and Temporary Provisions" - }, - { - "@type": "dcat:Distribution", - "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=4c2a23fc-27d8-4733-89a2-1c65a5e81c27&limit=0", - "describedByType": "application/json", - "description": "This dataset is a draft crosswalk, indicating which public water systems are owned and operated by which urban retail water suppliers. “Urban retail water supplier” means a water supplier, either publicly or privately owned, that directly provides potable municipal water to more than 3,000 end users or that supplies more than 3,000 acre-feet of potable water annually at retail for municipal purposes. The Department of Water Resources has assigned each Urban Retail Water Suppliers a unique \"Organization Identification.\" Urban Retail Water Suppliers in California operate one or more public water systems. A “public water system” means a system for the provision of water for human consumption through pipes or other constructed conveyances. The State Water Resources Control Board has assigned each public water system a unique \"public water system identification.\" This dataset connects each Supplier's \"Organization Identification\" number to its \"public water system identification\" number or numbers. This is the second version of this dataset, and will be utilized for the FY2025-2026 UWUO report onwards, as well as updated versions of prior reports. It has better handling of consolidations and systems being added or removed from reporting. \r\n\r\nSystems identified in this crosswalk may not be relevant to the water loss or \"Conservation as a Way of Life\" regulations. Contact [orpp-waterconservation@waterboards.ca.gov](mailto:orpp-waterconservation@waterboards.ca.gov) for any questions or corrections to this crosswalk.", - "downloadURL": "https://data.ca.gov/dataset/d3d441c4-2c9e-4bd6-8e85-77214e728959/resource/4c2a23fc-27d8-4733-89a2-1c65a5e81c27/download/urwscrosswalkupdate.csv", - "format": "CSV", - "mediaType": "text/csv", - "title": "PWSID-DWR ID Crosswalk" - }, - { - "@type": "dcat:Distribution", - "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=5ba2426e-744a-46e7-8632-961dbeec0112&limit=0", - "describedByType": "application/json", - "description": "This table includes a subset of information related to water loss and water system parameters, as reported by water systems in the water loss audits submitted to the Department. The water audit data are available on the [WUE Data Portal](https://wuedata.water.ca.gov/awwa_export) or the [CNRA Open Data Portal](https://data.cnra.ca.gov/dataset/ca-urban-retail-water-system-water-annual-loss-audit-data). This table draws from the following fields:\r\n\r\n* Reporting start and end dates\r\n* Volume of real water losses, in acre-feet\r\n* Number of service connections\r\n* Length of mains\r\n* Audit status\r\n\r\nThis table includes data for public water systems owned and operated by urban retail water suppliers. The list of public water systems in this resource is based on the PWSID-DWRID crosswalk resource that is also a part of the Urban Water Use Objectives dataset.\r\n\r\nConsistent with Water Code section §10608.34, urban retail water suppliers are required to submit to the Department completed and validated water loss audits. California Code of Regulations section 638.5 identifies annual reporting requirements, which include the system-specific data entered into each field of the AWWA Free Water Audit Software. To submit or update an annual water loss report, please email [WaterLoss@water.ca.gov](mailto:WaterLoss@water.ca.gov).", - "downloadURL": "https://data.ca.gov/dataset/d3d441c4-2c9e-4bd6-8e85-77214e728959/resource/5ba2426e-744a-46e7-8632-961dbeec0112/download/audit_data_wl.csv", - "format": "CSV", - "mediaType": "text/csv", - "title": "Real Water Loss: Data from Water Loss Audits" - }, - { - "@type": "dcat:Distribution", - "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=6d1ae862-dfd8-4789-b799-c1acf57a941c&limit=0", - "describedByType": "application/json", - "description": "This table is a compilation of the data submitted by urban retail water suppliers to the State Water Board via the Variance and Temporary Provisions Request Form. It tracks which suppliers have one or more approved variances or temporary provisions for residential outdoor water use, as well as maintaining a record of the submitted and approved data points.", - "downloadURL": "https://data.ca.gov/dataset/d3d441c4-2c9e-4bd6-8e85-77214e728959/resource/6d1ae862-dfd8-4789-b799-c1acf57a941c/download/res_outdoor_var_provn.csv", - "format": "CSV", - "mediaType": "text/csv", - "title": "[Archived] Residential Outdoor Variances and Temporary Provisions" - }, - { - "@type": "dcat:Distribution", - "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=79b8d6fb-8646-448f-b8c9-4f622836a218&limit=0", - "describedByType": "application/json", - "description": "This table is a compilation of the data submitted by urban retail water suppliers to the State Water Board via the Variance and Temporary Provisions Request Form. It tracks which suppliers have one or more approved variances or temporary provisions for residential outdoor water use, as well as maintaining a record of the submitted and approved data points. This is the second version of this table, and removes all rows but those with approved residential outdoor variances", - "downloadURL": "https://data.ca.gov/dataset/d3d441c4-2c9e-4bd6-8e85-77214e728959/resource/79b8d6fb-8646-448f-b8c9-4f622836a218/download/res_outdoor_var_provn.csv", - "format": "CSV", - "mediaType": "text/csv", - "title": "Residential Outdoor Variances and Temporary Provisions" - }, - { - "@type": "dcat:Distribution", - "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=7ca821b9-dbf8-404a-b210-9c6df1bbb58e&limit=0", - "describedByType": "application/json", - "description": "Release from the Department of Water Resources, containing a summary table of II, INI, and NI irrigation status classes, as well as horse corral areas, agricultural areas, and pool areas for all urban retail water suppliers. This table also includes alternative values for these fields when applicable, as well as values for special landscape areas (SLAs) and new construction.\r\n\r\nSee the source page [here](https://data.cnra.ca.gov/dataset/dwr-urban-water-use-objective-data/resource/c45c90f7-fadb-45a8-b223-0d4c687c0c4c).\r\n\r\nTo submit alternative data for consideration, contact [WUEStandards@water.ca.gov](mailto:WUEStandards@water.ca.gov).", - "downloadURL": "https://data.ca.gov/dataset/d3d441c4-2c9e-4bd6-8e85-77214e728959/resource/7ca821b9-dbf8-404a-b210-9c6df1bbb58e/download/res_lam_data.csv", - "format": "CSV", - "mediaType": "text/csv", - "title": "[Archived] Res-Outdoor Budget: Landscape Area Measurement" - }, - { - "@type": "dcat:Distribution", - "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=7e539a61-9a33-49e5-a5d3-463e43f06109&limit=0", - "describedByType": "application/json", - "description": "Consistent with Health and Safety Code section 116530 and California Code of Regulations title 22 §64412, public water systems report the population served during a specified reporting period and the population type, which can be reported as either Residential (R), Non-Transient (N), Transient (T), or Wholesale (W). \r\n\r\nThis table contains residential (R) population data for public water systems owned and operated by urban retail water suppliers. [\"Residential\"](https://www.waterboards.ca.gov/drinking_water/certlic/drinkingwater/documents/ear/ear-help-tips.pdf) refers to the number of persons who reside within the water system service area for more than half of the year. For each system, the R-population value represents the most recently reported and most contemporary value for the prior state fiscal year (July to June), as denoted in the FY_START_DATE and FY_END_DATE columns.\r\n\r\nPublic Water System data, including population, can be viewed using [Drinking Water Watch](https://sdwis.waterboards.ca.gov/PDWW/).\r\n\r\nIf the population values identified in this dataset need to be revised, please contact the appropriate State Water Resources Control Board’s Division of Drinking Water [district office](https://www.waterboards.ca.gov/drinking_water/programs/documents/ddwem/DDWdistrictofficesmap.pdf) and update accordingly. The Division of Drinking Water has documented the procedure to request population changes outside of the Electronic Annual Report [here](https://data.ca.gov/dataset/c69ac02b-adfb-459a-bc58-bf69a8b572d2/resource/0ba8a039-9459-4796-916d-179cf0da6173/download/guidance_changing-population-procedure.pdf).", - "downloadURL": "https://data.ca.gov/dataset/d3d441c4-2c9e-4bd6-8e85-77214e728959/resource/7e539a61-9a33-49e5-a5d3-463e43f06109/download/pop_sdwis.csv", - "format": "CSV", - "mediaType": "text/csv", - "title": "Res-Indoor Budget: SDWIS Residential Population" - }, - { - "@type": "dcat:Distribution", - "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=8a3c52b1-8d01-447b-99e1-438fe37bd82d&limit=0", - "describedByType": "application/json", - "description": "This table contains fields from potable and non-potable water demand data reported by public water systems owned and operated by urban retail water suppliers. The list of public water systems in this resource is based on the PWSID-DWRID crosswalk resource that is also a part of the Urban Water Use Objectives dataset.\r\n\r\nConsistent with Health and Safety Code section 116530, public water systems submit a technical report to the Board in a form and format and at intervals specified by the state; these data are submitted through the [SAFER Clearinghouse](https://www.waterboards.ca.gov/drinking_water/certlic/drinkingwater/clearinghouse_drought_conservation_reporting.html). For each system, the table includes potable and non-potable water use data, if provided by the supplier. All values have been converted to gallons by State Water Board staff. \r\n\r\nIf the values identified in this dataset need to be revised, a supplier may reopen an already submitted report in the SAFER Clearinghouse to revise and re-submit. For more instructions on how to revise a report, consult the Clearinghouse Reporting User Guide [found here](https://www.waterboards.ca.gov/drought/resources-for-drinking-water-systems/docs/clearinghouse-reporting-user-guide.pdf).", - "downloadURL": "https://data.ca.gov/dataset/d3d441c4-2c9e-4bd6-8e85-77214e728959/resource/8a3c52b1-8d01-447b-99e1-438fe37bd82d/download/potable_nonpotable_deliveries.csv", - "format": "CSV", - "mediaType": "text/csv", - "title": "Potable and Non-Potable Water Deliveries for URWS" - }, - { - "@type": "dcat:Distribution", - "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=93aca6d6-e912-4e31-9d67-434c86caf772&limit=0", - "describedByType": "application/json", - "description": "The State Water Resources Control Board maintains this table of residential landscape area data for urban retail water suppliers. This table incorporates the residential landscape area data by irrigation status classification (II, INI, and NI), horse corral areas, agricultural areas, and pool areas for all urban retail water suppliers as reported in the [Department of Water Resources’ 2023 Landscape Area Measurement (LAM) Final dataset](https://data.cnra.ca.gov/dataset/dwr-urban-water-use-objective-data/resource/c45c90f7-fadb-45a8-b223-0d4c687c0c4c). Where applicable, this table also includes approved alternative residential LAM data and confirmed residential extensions, special landscape areas, and newly constructed residential landscape area. Values are updated as new or revised information is confirmed or approved. This is the second version of this table, with better handling of changing values over time and the inclusion of residential extensions data.\r\n\r\nTo submit alternative data for consideration, contact [WUEStandards@water.ca.gov](mailto:wuestandards@water.ca.gov).", - "downloadURL": "https://data.ca.gov/dataset/d3d441c4-2c9e-4bd6-8e85-77214e728959/resource/93aca6d6-e912-4e31-9d67-434c86caf772/download/res_lam_data.csv", - "format": "CSV", - "mediaType": "text/csv", - "title": "Res-Outdoor Budget: Landscape Area Measurement" - }, - { - "@type": "dcat:Distribution", - "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=94036f37-70dd-4967-b759-17cffb3c148b&limit=0", - "describedByType": "application/json", - "description": "This table contains fields from per-source production data reported by public water systems owned and operated by urban retail water suppliers. The list of public water systems in this resource is based on the PWSID-DWRID crosswalk resource that is also a part of the Urban Water Use Objectives dataset.\r\n\r\nConsistent with Health and Safety Code section 116530, public water systems submit a technical report to the Board in a form and format and at intervals specified by the state; these data are submitted through the [SAFER Clearinghouse](https://www.waterboards.ca.gov/drinking_water/certlic/drinkingwater/clearinghouse_drought_conservation_reporting.html). For each system, the table includes production data for each individual source, as well as associated information about the facility that produced the reported water. \r\n\r\nIf the values identified in this dataset need to be revised, a supplier may reopen an already submitted report in the SAFER Clearinghouse to revise and re-submit. For more instructions on how to revise a report, consult the Clearinghouse Reporting User Guide [found here](https://www.waterboards.ca.gov/drought/resources-for-drinking-water-systems/docs/clearinghouse-reporting-user-guide.pdf).", - "downloadURL": "https://data.ca.gov/dataset/d3d441c4-2c9e-4bd6-8e85-77214e728959/resource/94036f37-70dd-4967-b759-17cffb3c148b/download/source_level_data.csv", - "format": "CSV", - "mediaType": "text/csv