Timeline / Data.gov — Climate Datasets
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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 2026-09-25T00:29:30+00:00 |
| Content type | application/json |
| Current object |
83e7fca5cb8f2773260157d05acdb406022734b7bcd0b007ac68510d6e7565e3
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| Previous object |
e7b06c83b361da83fe26fbba2384ac272fe31062ad19c5af2ee277fc42e4eb55
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What changed derived
This diff is not evidence. It was produced by
civic-memory.diff_engine 1.1.0 at
2026-09-25T00:29:30+00:00 by normalizing the two archived objects above. The
objects are authoritative; this reading of them can be regenerated or deleted
without loss. 3471 line(s) added, 6043 line(s) removed.
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These climate projection data products are provided as is without any warranty and no agreement to support subsequent projects based on this dataset, beyond providing the data to public domain.", + "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. 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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. 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These climate projection data products are provided as is without any warranty and no agreement to support subsequent projects based on this dataset, beyond providing the data to public domain.", + "title": "\"RV Manta - FGBNMS - FGBNMS-15-07_NCRMP1_1.nc - 29.31N, 94.82W - 2015-05-31\"" + }, + "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. 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"hasEmail": "mailto:aterando@usgs.gov" - }, - "description": "Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are provided as decadal output for observed conditions, and for individual GCM results for the historical climate scenario and the two future climate scenarios are provided. In addition, summary statistics (e.g., multi-model mean, and for selected quantiles) are provided for the GCM ensemble as a whole by decade.", + "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. 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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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This unique dataset offers landscape-level insight into the future impact of climate change on lakes. This data set contains the following parameters: time, ShortWave, LongWave, AirTemp, RelHum, WindSpeed, Rain, Snow, which are defined below.", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "Data were 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 with associated shaded relief models. 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-off 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.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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This data set contains the following parameters: time, ShortWave, LongWave, AirTemp, RelHum, WindSpeed, Rain, Snow, which are defined below.", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-105.71 39.91, -105.71 40.07, -105.42 40.07, -105.42 39.91, -105.71 39.91))\"}", + "title": "Boulder Creek Critical Zone Observatory May 5 2010 Snow-On Lidar Survey" + }, + "description": "Data were 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 with associated shaded relief models. 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Read", - "hasEmail": "mailto:jread@usgs.gov" - }, - "description": "Climate change has been shown to influence lake temperatures globally. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes, we modelled daily water temperature profiles for 10,774 lakes in Michigan, Minnesota and Wisconsin for contemporary (1979-2015) and future (2020-2040 and 2080-2100) time periods with climate models based on the Representative Concentration Pathway 8.5, the worst-case emission scenario. From simulated temperatures, we derived commonly used, ecologically relevant annual metrics of thermal conditions for each lake. We included all available supporting metadata including satellite and in-situ observations of water clarity, maximum observed lake depth, land-cover based estimates of surrounding canopy height and observed water temperature profiles (used here for validation). This unique dataset offers landscape-level insight into the future impact of climate change on lakes. This data set contains the following parameters: Thermal metrics, Spatial data, Temperature data, Model drivers, Model configuration, which are defined below.", + "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 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. 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Most fields were pre-filled with information reported within the SAFER Clearinghouse.", + "downloadURL": "https://data.ca.gov/dataset/7c8e8c05-b43e-4a71-84af-87194ef724fc/resource/9a773df4-af2f-450d-b0e5-f49f4a1e1523/download/actualwateruse.csv", + "format": "CSV", + "mediaType": "text/csv", + "title": "Actual Water Use" + }, + { + "@type": "dcat:Distribution", + "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=9cd9c434-b612-4863-b11d-0ae967d04270&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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For suppliers using bonus incentives, it tracks information suppliers have submitted related to calculating their bonus incentive.", + "downloadURL": "https://data.ca.gov/dataset/7c8e8c05-b43e-4a71-84af-87194ef724fc/resource/d1587ce2-0aeb-4caf-a1aa-5ee2cc69e400/download/bonusincentive.csv", + "format": "CSV", + "mediaType": "text/csv", + "title": "Bonus Incentive" + }, + { + "@type": "dcat:Distribution", + "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=f22a559f-b3b9-4184-8b5b-8e44b3b5ce84&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. It tracks information suppliers have submitted related to disclosable buildings as per California Code of Regulations sections 974(a) and 974(b). It also tracks the method by which suppliers plan to identify which commercial, industrial, and institutional customers will be offered best management practices.", + "downloadURL": "https://data.ca.gov/dataset/7c8e8c05-b43e-4a71-84af-87194ef724fc/resource/f22a559f-b3b9-4184-8b5b-8e44b3b5ce84/download/bmps974.csv", + "format": "CSV", + "mediaType": "text/csv", + "title": "Best Management Practices" + }, + { + "@type": "dcat:Distribution", + "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=f67efe18-430c-4c85-85e8-5cf8cfe58510&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. It tracks supplier-level information that suppliers have submitted related to their water loss budget.", + "downloadURL": "https://data.ca.gov/dataset/7c8e8c05-b43e-4a71-84af-87194ef724fc/resource/f67efe18-430c-4c85-85e8-5cf8cfe58510/download/realwaterlossbudget.csv", + "format": "CSV", + "mediaType": "text/csv", + "title": "Water Loss Budget (Supplier)" + }, + { + "@type": "dcat:Distribution", + "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=f9d7aae7-8b9c-4ac6-bf24-a05185def062&limit=0", + "describedByType": "application/json", + "description": "This table contains the information that informs the per-supplier Residential Outdoor Budgets, including variances and temporary provisions when applicable.", + "downloadURL": "https://data.ca.gov/dataset/7c8e8c05-b43e-4a71-84af-87194ef724fc/resource/f9d7aae7-8b9c-4ac6-bf24-a05185def062/download/residentialoutdoorbudget.csv", + "format": "CSV", + "mediaType": "text/csv", + "title": "Residential Outdoor Budget" + }, + { + "@type": "dcat:Distribution", + "description": "Data Dictionary for https://data.ca.gov/dataset/7c8e8c05-b43e-4a71-84af-87194ef724fc/resource/137632ca-5775-42a3-ad6b-37cd0f294fe1/download/systemwaterlossbudget.csv", + "downloadURL": "https://data.ca.gov/datastore/dictionary_download/137632ca-5775-42a3-ad6b-37cd0f294fe1", + "format": "CSV", + "isDataDictionary": true, + "mediaType": "text/csv", + "title": "Data Dictionary - 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Best Management Practices 974(c)(3) Methodology (10% or Less)" + }, + { + "@type": "dcat:Distribution", + "description": "Data Dictionary for https://data.ca.gov/dataset/7c8e8c05-b43e-4a71-84af-87194ef724fc/resource/596529d5-e043-42a2-8e2e-afeb60570d23/download/bi_aug_gw_obtained_table.csv", + "downloadURL": "https://data.ca.gov/datastore/dictionary_download/596529d5-e043-42a2-8e2e-afeb60570d23", + "format": "CSV", + "isDataDictionary": true, + "mediaType": "text/csv", + "title": "Data Dictionary - Groundwater Basin Extractions" + }, + { + "@type": "dcat:Distribution", + "description": "Data Dictionary for https://data.ca.gov/dataset/7c8e8c05-b43e-4a71-84af-87194ef724fc/resource/9a773df4-af2f-450d-b0e5-f49f4a1e1523/download/actualwateruse.csv", + "downloadURL": "https://data.ca.gov/datastore/dictionary_download/9a773df4-af2f-450d-b0e5-f49f4a1e1523", + "format": "CSV", + "isDataDictionary": true, + "mediaType": "text/csv", + "title": "Data Dictionary - Actual Water Use" + }, + { + "@type": "dcat:Distribution", + "description": "Data Dictionary for https://data.ca.gov/dataset/7c8e8c05-b43e-4a71-84af-87194ef724fc/resource/9cd9c434-b612-4863-b11d-0ae967d04270/download/reportedrealwaterloss.csv", + "downloadURL": "https://data.ca.gov/datastore/dictionary_download/9cd9c434-b612-4863-b11d-0ae967d04270", + "format": "CSV", + "isDataDictionary": true, + "mediaType": "text/csv", + "title": "Data Dictionary - Reported Water Loss (Supplier)" + }, + { + "@type": "dcat:Distribution", + "description": "Data Dictionary for https://data.ca.gov/dataset/7c8e8c05-b43e-4a71-84af-87194ef724fc/resource/b63b74b2-2aaf-43e8-ae39-4408c99df3d6/download/residentialindoorbudget.csv", + "downloadURL": "https://data.ca.gov/datastore/dictionary_download/b63b74b2-2aaf-43e8-ae39-4408c99df3d6", + "format": "CSV", + "isDataDictionary": true, + "mediaType": "text/csv", + "title": "Data Dictionary - Residential Indoor Budget" + }, + { + "@type": "dcat:Distribution", + "description": "Data Dictionary for https://data.ca.gov/dataset/7c8e8c05-b43e-4a71-84af-87194ef724fc/resource/b99d19d7-d947-4999-91ae-96bc2c7de578/download/bmps974c1_10pct.csv", + "downloadURL": "https://data.ca.gov/datastore/dictionary_download/b99d19d7-d947-4999-91ae-96bc2c7de578", + "format": "CSV", + "isDataDictionary": true, + "mediaType": "text/csv", + "title": "Data Dictionary - Best Management Practices 974(c)(1) Methodology (10% or Less)" + }, + { + "@type": "dcat:Distribution", + "description": "Data Dictionary for https://data.ca.gov/dataset/7c8e8c05-b43e-4a71-84af-87194ef724fc/resource/bc5645d5-dd42-4558-b999-bc9d9db63e0c/download/reporting_status.csv", + "downloadURL": "https://data.ca.gov/datastore/dictionary_download/bc5645d5-dd42-4558-b999-bc9d9db63e0c", + "format": "CSV", + "isDataDictionary": true, + "mediaType": "text/csv", + "title": "Data Dictionary - Reporting Status" + }, + { + "@type": "dcat:Distribution", + "description": "Data Dictionary for https://data.ca.gov/dataset/7c8e8c05-b43e-4a71-84af-87194ef724fc/resource/c80ad677-54f6-49a8-b0ec-ffd52ab6af05/download/ciiclassification.csv", + "downloadURL": "https://data.ca.gov/datastore/dictionary_download/c80ad677-54f6-49a8-b0ec-ffd52ab6af05", + "format": "CSV", + "isDataDictionary": true, + "mediaType": "text/csv", + "title": "Data Dictionary - Commercial, Industrial, and Intuitional Water User Classifications" + }, + { + "@type": "dcat:Distribution", + "description": "Data Dictionary for https://data.ca.gov/dataset/7c8e8c05-b43e-4a71-84af-87194ef724fc/resource/d1587ce2-0aeb-4caf-a1aa-5ee2cc69e400/download/bonusincentive.csv", + "downloadURL": "https://data.ca.gov/datastore/dictionary_download/d1587ce2-0aeb-4caf-a1aa-5ee2cc69e400", + "format": "CSV", + "isDataDictionary": true, + "mediaType": "text/csv", + "title": "Data Dictionary - Bonus Incentive" + }, + { + "@type": "dcat:Distribution", + "description": "Data Dictionary for https://data.ca.gov/dataset/7c8e8c05-b43e-4a71-84af-87194ef724fc/resource/f22a559f-b3b9-4184-8b5b-8e44b3b5ce84/download/bmps974.csv", + "downloadURL": "https://data.ca.gov/datastore/dictionary_download/f22a559f-b3b9-4184-8b5b-8e44b3b5ce84", + "format": "CSV", + "isDataDictionary": true, + "mediaType": "text/csv", + "title": "Data Dictionary - Best Management Practices" + }, + { + "@type": "dcat:Distribution", + "description": "Data Dictionary for https://data.ca.gov/dataset/7c8e8c05-b43e-4a71-84af-87194ef724fc/resource/f67efe18-430c-4c85-85e8-5cf8cfe58510/download/realwaterlossbudget.csv", + "downloadURL": "https://data.ca.gov/datastore/dictionary_download/f67efe18-430c-4c85-85e8-5cf8cfe58510", + "format": "CSV", + "isDataDictionary": true, + "mediaType": "text/csv", + "title": "Data Dictionary - Water Loss Budget (Supplier)" + }, + { + "@type": "dcat:Distribution", + "description": "Data Dictionary for https://data.ca.gov/dataset/7c8e8c05-b43e-4a71-84af-87194ef724fc/resource/f9d7aae7-8b9c-4ac6-bf24-a05185def062/download/residentialoutdoorbudget.csv", + "downloadURL": "https://data.ca.gov/datastore/dictionary_download/f9d7aae7-8b9c-4ac6-bf24-a05185def062", + "format": "CSV", + "isDataDictionary": true, + "mediaType": "text/csv", + "title": "Data Dictionary - Residential Outdoor Budget" } ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_57c5c793e4b0f2f0cebdaa4d", - "keyword": [ - "IA", - "IL", - "IN", - "Illinois", - "Indiana", - "Iowa", - "MI", - "MN", - "Michigan", - "Minnesota", - "SD", - "South Dakota", - "US", - "USGS:57c5c793e4b0f2f0cebdaa4d", - "United States", - "WI", - "Wisconsin", - "biota", - "climate change", - "environment", - "geospatial datasets", - "inlandWaters", - "modeling", - "reservoirs", - "temperate lakes", - "thermal profiles", - "water" - ], - "modified": "2026-09-17T00:00:00Z", + "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", "publisher": { "@type": "org:Organization", - "name": "U.S. Geological Survey" - }, - "spatial": "-96.8589, 48.7290, -83.0573, 41.7554", - "theme": [ - "geospatial" - ], - "title": "Data release: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota and Wisconsin Lakes" - }, - "description": "Climate change has been shown to influence lake temperatures globally. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes, we modelled daily water temperature profiles for 10,774 lakes in Michigan, Minnesota and Wisconsin for contemporary (1979-2015) and future (2020-2040 and 2080-2100) time periods with climate models based on the Representative Concentration Pathway 8.5, the worst-case emission scenario. From simulated temperatures, we derived commonly used, ecologically relevant annual metrics of thermal conditions for each lake. We included all available supporting metadata including satellite and in-situ observations of water clarity, maximum observed lake depth, land-cover based estimates of surrounding canopy height and observed water temperature profiles (used here for validation). This unique dataset offers landscape-level insight into the future impact of climate change on lakes. This data set contains the following parameters: Thermal metrics, Spatial data, Temperature data, Model drivers, Model configuration, which are defined below.", + "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).", "distribution_titles": [ - "Digital Data", - "Original Metadata" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/ae985692-6a4c-48bb-bfa2-8d593021ef0f", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/ae985692-6a4c-48bb-bfa2-8d593021ef0f/raw", + "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)", + "Groundwater Basin Extractions", + "Reported Water Loss (System)", + "Recycled Water Network", + "Groundwater Basin Recharge", + "Actual Water Use", + "Reported Water Loss (Supplier)", + "SBX7-7 Backstop", + "Residential Indoor Budget", + "Best Management Practices 974(c)(1) Methodology (10% or Less)", + "Reporting Status", + "Commercial, Industrial, and Intuitional Water User Classifications", + "Bonus Incentive", + "Best Management Practices", + "Water Loss Budget (Supplier)", + "Residential Outdoor Budget", + "Data Dictionary - 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(Townsend and Gutzler 2020; Samimi et al., 2022). The data are stored as a csv file and available for free public use.", + "fn": "BIOS_Admin", + "hasEmail": "mailto:geodata@wildlife.ca.gov" + }, + "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. 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>", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.21429/g2zr-ap22", - "description": "Landing page for access to the data", - "format": "XML", - "mediaType": "application/http", - "title": "Digital Data" - }, - { - "@type": "dcat:Distribution", - "description": "The metadata original format", - "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.6581d74cd34e38c885a5d333.xml", - "format": "XML", - "mediaType": "text/xml", - "title": "Original Metadata" + "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" } ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6581d74cd34e38c885a5d333", - "keyword": [ - "Climate conditions projection", - "Global Climate Models", - "Normalization methods", - "Rio Bravo", - "Rio Grande", - "USGS:6581d74cd34e38c885a5d333", - "external research support", - "inlandWaters", - "modeling", - "water resources" - ], - "modified": "2026-09-17T00:00:00Z", + "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", "publisher": { "@type": "org:Organization", - "name": "U.S. Geological Survey" - }, - "spatial": "-107.9297, 31.8402, -106.0840, 33.6878", + "name": "California Department of Fish and Wildlife" + }, "theme": [ - "geospatial" - ], - "title": "Streamflow Projections in Rio Grande at San Marcial Gauges Derived from CMIP5 Global Climate Models Coupled to VIC Surface Hydrology Model from 1950 - 2099" - }, - "description": "Data were used for a total of 97 climate projection scenarios in this study. 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(Townsend and Gutzler 2020; Samimi et al., 2022). The data are stored as a csv file and available for free public use.", + "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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Wootten", - "hasEmail": "mailto:amwootte@ou.edu" - }, - "description": "Global climate models (GCMs) are computationally intensive, physics-based research tools used to simulate the climate system. GCM can also be useful in applied research contexts with the use of statistical downscaling techniques. This collection of statistically downscaled climate projections includes 12 sets of SD-processed CMIP6 projections of daily high temperature, daily low temperature, and daily total precipitation across the Edwards Aquifer Region (EAR) in south central Texas. These sets of projections were created using six GCMs from the CMIP6 archive (EC-Earth3, INM-CM-4-8, INM-CM-5-0, KACE-1-0-G, KIOST-ESM, and MPI-ESM1-2-HR), each of which simulated 21st century climate responses for multiple future emissions scenarios. The CMIP6 GCMs simulated response under the shared socioeconomic pathways (SSPs) 2-4.5 and 5-8.5. The equi-distant quantile mapping method (EDQM) was used for statistical downscaling with the Daymet v. 4 as the observational data used for training. The resulting SD-processed projections are on a 1 km by 1 km grid covering the EAR in south central Texas (100.75 degress E to 97.5 degrees E, 28.75 degrees N to 30.50 degrees N). Both historical baseline files (1980-2014) and future projections (2015-2100) are provided.\nApplied researchers may explore aspects of potential changes in the EAR using these high resolution projections, including as inputs to additional modelling (e.g. hydrology modeling, crop modeling, etc.). This collection should not be considered comprehensive in spanning the entire scope of SD processed climate projections for the EAR. These climate projection data products are provided as is without any warranty and no agreement to support subsequent projects based on this dataset, beyond providing the data to public domain.", + "fn": "egis.CALFIRE", + "hasEmail": "mailto:tiffany.meyer@fire.ca.gov" + }, + "description": "This app utilizes the <a href='https://calfire-forestry.maps.arcgis.com/home/item.html?id=c4a06dbc8821431aa8b42a24e5cc1df0' target='_blank' rel='nofollow ugc noopener noreferrer'>Forest Health Research Projects Map</a> which includes the <a href='https://calfire-forestry.maps.arcgis.com/home/item.html?id=43924ff8ecce4323969f9827e60b45bf' target='_blank' rel='nofollow ugc noopener noreferrer'>Forest Health Research Grant Projects Locations data</a>, and several exploratory layers including fire perimeters, county boundaries, and jurisdictional boundaries. 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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>", "distribution_titles": [ - "Digital Data", - "Original Metadata" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/101dc94d-31d3-4bf4-a6d0-d6ba7f71acf9", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/101dc94d-31d3-4bf4-a6d0-d6ba7f71acf9/raw", + "ArcGIS Hub Dataset", + "BIOS Homepage", + "CWHR Homepage", + "Source download (File Geodatabase)", + "ArcGIS GeoService" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/4ca103e1-2b25-4545-81b9-3422717ac9f1", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/4ca103e1-2b25-4545-81b9-3422717ac9f1/raw", "has_download": true, - "has_spatial": true, - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_581d3463e4b08da350d6e114", - "keyword": [ - "USGS:581d3463e4b08da350d6e114", - "climate change", + "has_spatial": false, + "identifier": "f4871a9a-7d67-409f-9600-394b9d7d1fca", + "keyword": [ + "Auth_CDFW", + "CAOpenData", + "CDFW", + "CWHR", + "CWHR Predicted Habitat Map", + "Calidris canutus", + "California", + "California Department of Fish And Wildlife", + "California Natural Resources Agency", + "DS2133_20251117_wm", + "RADMAP", + "biota", + "bird", + "california department of fish and wildlife", "environment", - "geospatial datasets", - "modeling", - "pre-SM502.8" - ], - "last_harvested_date": "2026-09-24T01:12:21.515805", + "habitat", + "natural resources", + "red knot", + "species", + "wildlife" + ], + "last_harvested_date": "2026-09-24T20:35:52.510902", "organization": { "aliases": [ - "dept" + "ca" ], "code_repo_exempt": false, "code_repo_url": null, "description": null, - "id": "143529f7-2eef-4a07-b227-93ac9e84fad8", - "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png", - "name": "Department of the Interior", - "organization_type": "Federal Government", - "slug": "doi" + "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" }, "parent_identifier": null, "popularity": 0, - "publisher": "U.S. Geological Survey", - "slug": "modeled-suitable-habitat-for-species-based-on-timeref", - "spatial_centroid": { - "lat": 20.22598, - "lon": -157.77501999999998 - }, - "spatial_shape": { - "coordinates": [ - [ - [ - -159.8183, - 18.8385 - ], - [ - -159.8183, - 22.3072 - ], - [ - -154.7101, - 22.3072 - ], - [ - -154.7101, - 18.8385 - ], - [ - -159.8183, - 18.8385 - ] - ] - ], - "type": "Polygon" - }, + "publisher": "California Department of Fish and Wildlife", + "slug": "red-knot-predicted-habitat-cwhr-b180-ds2133", + "spatial_centroid": null, + "spatial_shape": null, "theme": [ - "geospatial" - ], - "title": "Modeled suitable habitat for SPECIES based on TIMEREF", + "Natural Resources" + ], + "title": "Red Knot Predicted Habitat - CWHR B180 [ds2133]", "type": "dataset" }, { - "_score": 19.3876, + "_score": 5.773926, "_sort": [ - 1790212340586, - 19.3876, - 1, - "33f501ac-5add-4609-85ec-f51e53ace5f1" + 1790282152360, + 5.773926, + 0, + "a45878aa-de12-490b-beca-cbbe8752ab8c" ], "dcat": { + "@type": "dcat:Dataset", "accessLevel": "public", - "bureauCode": [ - "010:12" - ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Adam J Terando", - "hasEmail": "mailto:aterando@usgs.gov" - }, - "description": "Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are provided as decadal output for observed conditions, and for individual GCM results for the historical climate scenario and the two future climate scenarios are provided. In addition, summary statistics (e.g,. multi-model mean, and for selected quantiles) are provided for the GCM ensemble as a whole by decade.", + "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. 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>", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.5066/P95BV7GE", - "description": "Landing page for access to the data", - "format": "XML", - "mediaType": "application/http", - "title": "Digital Data" - }, - { - "@type": "dcat:Distribution", - "description": "The metadata original format", - "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.605ddd2ed34ec5fa65ee2803.xml", - "format": "XML", - "mediaType": "text/xml", - "title": "Original Metadata" + "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" } ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_605ddd2ed34ec5fa65ee2803", - "keyword": [ - "Alabama", - "Arkansas", - "Florida", - "Georgia", - "Kentucky", - "Louisiana", - "Mississippi", - "Missouri", - "North Carolina", - "Oklahoma", - "South Carolina", - "Southeast United states", - "Tennessee", - "Texas", - "USGS:605ddd2ed34ec5fa65ee2803", - "Virginia", - "West Virginia", - "farming", - "fires", - "geoscientificInformation", - "geospatial datasets", - "managed fire regimes", - "statistical downscaling", - "wildfires" - ], - "modified": "2026-09-16T00:00:00Z", + "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", + "na