AndreaBozzo/ceres-open-data-index huggingface dataset:
National Water Model Maximum Flow (Hourly Forecast)

The [National Water Model] provides forecasts of flow volume and velocity for over 2.7 million stream and river segments in the contiguous United States and is the National Weather Service’s primary tool for predicting river flooding. Two versions of the National Water Model are available in ArcGIS Living Atlas: a short-term model that updates every hour for 18-hrs, and a medium-range model that updates every 6-hrs for a 10-day outlook. This layer provides a summary of the short-term hourly forecast and adds calculated fields such as flow anomaly, maximum anomaly, and the time at maximum flow. It has been filtered to display only areas with positive flow anomalies (i.e., flooding). Leveraging ArcGIS Online hosted feature services, it is ideal for doing spatial and time queries, use in Dashboards, and supporting a variety of custom symbology. By default, this layer is showing time until maximum flow since the short-term model is ideal for providing detailed situational awareness for imminent or occurring events. Companion Layer * [National Water Model Maximum Flow (10-Day Forecast)] Related Layers * [National Water Model (10-Day Forecast)] * [National Water Model (10-Day Anomaly Forecast)] * [National Water Model (Hourly Forecast)] * [National Water Model (Hourly Anomaly Forecast)] Revisions * Jan 27, 2022: Added 'Forecast Origin' field. Providing the Origin Date/Time of the Forecast Set
National Water Model Maximum Flow (10 Day Forecast)

The [National Water Model] provides forecasts of flow volume and velocity for over 2.7 million stream and river segments in the contiguous United States and is the National Weather Service’s primary tool for predicting river flooding. Two versions of the National Water Model are available in ArcGIS Living Atlas: a short-term model that updates every hour for 18-hrs, and a medium-range model that updates every 6-hrs for a 10-day outlook. This layer provides a summary of the 10-day forecast and adds calculated fields such as flow anomaly, maximum anomaly, and the time at maximum flow. It has been filtered to display only areas with positive flow anomalies (i.e., flooding). Leveraging ArcGIS Online hosted feature services, it is ideal for doing spatial and time queries, use in Dashboards, and supporting a variety of custom symbology. By default, this layer is showing the maximum expected flow for each river segment since the 10-day model is ideal for providing a more synoptic understanding of potential flooding. Companion Layer * [National Water Model Maximum Flow (Hourly Forecast)] Related Layers * [National Water Model (10-Day Forecast)] * [National Water Model (10-Day Anomaly Forecast)] * [National Water Model (Hourly Forecast)] * [National Water Model (Hourly Anomaly Forecast)] Revisions * Jan 27, 2022: Added 'Forecast Origin' field. Providing the Origin Date/Time of the Forecast Set
Critical Habitat for Threatened and Endangered Species

Critical Habitat for Threatened and Endangered Species This National Geospatial Data Asset (NGDA) dataset, shared as a U.S. Fish and Wildlife Service (FWS) feature layer, displays proposed and designated critical habitat under the U.S. Endangered Species Act. According to the [FWS], “When the Fish and Wildlife Service proposes a species for listing under the Endangered Species Act, we are required to consider whether there are geographic areas that contain essential features on areas that are essential to conserve the species. If so, we may propose designating these areas as critical habitat.” [Critical Habitat for Threatened and Endangered Species] Canada Lynx and Atlantic Salmon Data currency: current federal service ([USFWS Critical Habitat]) NGDAID: [3 (FWS Critical Habitat for Threatened and Endangered Species Dataset)] OGC API Features Link: Not Available For more information: * [Critical Habitat] * [USFWS Threatened & Endangered Species Active Critical Habitat Report] For feedback, please contact: [Esri_US_Federal_Data@esri.com] NGDA Data Set This data set is part of the [NGDA Biodiversity and Ecosystems Theme Community]. Per the Federal Geospatial Data Committee (FGDC), [Biodiversity and Ecosystems] is defined as pertaining to, or describing, "the dynamic processes, interactions, distributions, and relationships between and among organisms and their environments". For other NGDA Content: [Esri Federal Datasets]
Historical Hurricanes

Historical Hurricanes This feature layer, utilizing data from the National Oceanic and Atmospheric Administration (NOAA), displays global hurricanes from 1842-2025. According to [NOAA], "a tropical cyclone is a rotating low-pressure weather system that has organized thunderstorms but no fronts (a boundary separating two air masses of different densities). Tropical cyclones with maximum sustained surface winds of less than 39 miles per hour (mph) are called tropical depressions. Those with maximum sustained winds of 39 mph or higher are called tropical storms. When a storm's maximum sustained winds reach 74 mph, it is called a hurricane." [USDOC NOAA Historical Hurricanes _ 800x400 _ screen capture] Hurricane Andrew (1992) Data currency: December 31, 2025 Data source: [International Best Track Archive for Climate Stewardship (IBTrACS)] Data modification: Field added - Hurricane Date For more information: [International Best Track Archive for Climate Stewardship (IBTrACS)] Support documentation: [IBTrACS v04 column documentation] For feedback, please contact: [ArcGIScomNationalMaps@esri.com] National Oceanic and Atmospheric Administration (NOAA) Per [NOAA], its mission is "To understand and predict changes in climate, weather, ocean, and coasts, to share that knowledge and information with others, and to conserve and manage coastal and marine ecosystems and resources."
Historical Hurricane Tracks

Historical Hurricane Tracks This feature layer, utilizing data from the National Oceanic and Atmospheric Administration (NOAA), displays global hurricane tracks from 1842-2026. According to [NOAA], “a tropical cyclone is a rotating low-pressure weather system that has organized thunderstorms but no fronts (a boundary separating two air masses of different densities). Tropical cyclones with maximum sustained surface winds of less than 39 miles per hour (mph) are called tropical depressions. Those with maximum sustained winds of 39 mph or higher are called tropical storms. When a storm's maximum sustained winds reach 74 mph, it is called a hurricane.” [USDOC NOAA Historical Hurricane Tracks _ 800x400 _ screen capture] Hurricane Andrew (1992) Data currency: February 27, 2026 Data source: [International Best Track Archive for Climate Stewardship (IBTrACS)] Data modification: Field added - Hurricane Date For more information: [International Best Track Archive for Climate Stewardship (IBTrACS)] Support documentation: [IBTrACS v04 column documentation] For feedback, please contact: [ArcGIScomNationalMaps@esri.com] National Oceanic and Atmospheric Administration (NOAA) Per [NOAA], its mission is "To understand and predict changes in climate, weather, ocean, and coasts, to share that knowledge and information with others, and to conserve and manage coastal and marine ecosystems and resources."
LOCA2-Ensemble SSP2-4.5 Energy Indicators

The [Climate Resilience Information System] (CRIS) provides data and tools for developers of climate services. This layer has projections of VAR in decadal increments from 1950 to 2100 and for three Shared Socioeconomic Pathways (SSPs). The variables included are: * Cooling degree (F) days * Heating degree (F) days This layer uses data from the LOCA2 and STAR-ESDM downscaled climate models for the Contiguous United States. Further processing by the NOAA Technical Support Unit at CICS-NC and Esri are explained below. For each time and SSP, there are minimum, maximum, and mean values for the defined respective geography: counties, tribal areas, HUC-8 watersheds. The process for deriving these summaries is available in [Understanding CRIS Data]. The combination of time and geography is available for a weighted ensemble of 16 climate projections. More details on the models included in the ensemble and the weighting methodologies can be found in [CRIS Data Preparation]. Other climate variables are available from the CRIS website’s [Data Gallery page] or can be accessed in the table below. Additional geographies, including Alaska, Hawai’i and Puerto Rico will be made available in the future. Geographies This layer provides projected values for three geographies: county, tribal area, and HUC-8 watersheds. * County: based on the U.S. Census TIGER/Line [2022 distribution]. * Tribal areas: based on the U.S. Census American Indian/Alaska Native/Native Hawaiian Area dataset [2022 distribution]. This dataset includes federal- and state-recognized statistical areas. * HUC-8 watershed: based on the [USGS Washed Boundary Dataset], part of the National Hydrography Database Plus High Resolution. Time Ranges Projected climate threshold values (e.g. Days Over 90°F) were calculated for each year from 2005 to 2100. Additionally, values are available for the modeled history runs from 1951 - 2005. The modeled history and future projections have been merged into a single time series and averaged by decade. Climate Scenarios Climate models use future scenarios of greenhouse gas concentrations and human activities to project overall change. These different scenarios are called the [Shared Socioeconomic Pathways (SSPs)]. Three different SSPs are available here: 2-4.5, 3-7.0, and 5-8.5 (STAR does not have SSP3-7.0). The number before the dash represents a societal behavior scenario. The number after the dash indicates the amount of radiative forcing (watts per meter square) associated with the greenhouse gas concentration scenario in the year 2100 (higher forcing = greater warming). It is unclear which scenario will be the most likely, but SSP 2-4.5 currently aligns with the international targets of the COP-26 agreement. SSP3-7.0 may be the most likely scenario based on current emission trends. SSP5-8.5 acts as a cautionary tale, providing a worst-case scenario if reductions in greenhouse gasses are not undertaken. Data Export Exporting this data into shapefiles, geodatabases, GeoJSON, etc is enabled.
LOCA2-Ensemble SSP3-7.0 Energy Indicators

The [Climate Resilience Information System] (CRIS) provides data and tools for developers of climate services. This layer has projections of VAR in decadal increments from 1950 to 2100 and for three Shared Socioeconomic Pathways (SSPs). The variables included are: * Cooling degree (F) days * Heating degree (F) days This layer uses data from the LOCA2 and STAR-ESDM downscaled climate models for the Contiguous United States. Further processing by the NOAA Technical Support Unit at CICS-NC and Esri are explained below. For each time and SSP, there are minimum, maximum, and mean values for the defined respective geography: counties, tribal areas, HUC-8 watersheds. The process for deriving these summaries is available in [Understanding CRIS Data]. The combination of time and geography is available for a weighted ensemble of 16 climate projections. More details on the models included in the ensemble and the weighting methodologies can be found in [CRIS Data Preparation]. Other climate variables are available from the CRIS website’s [Data Gallery page] or can be accessed in the table below. Additional geographies, including Alaska, Hawai’i and Puerto Rico will be made available in the future. Geographies This layer provides projected values for three geographies: county, tribal area, and HUC-8 watersheds. * County: based on the U.S. Census TIGER/Line [2022 distribution]. * Tribal areas: based on the U.S. Census American Indian/Alaska Native/Native Hawaiian Area dataset [2022 distribution]. This dataset includes federal- and state-recognized statistical areas. * HUC-8 watershed: based on the [USGS Washed Boundary Dataset], part of the National Hydrography Database Plus High Resolution. Time Ranges Projected climate threshold values (e.g. Days Over 90°F) were calculated for each year from 2005 to 2100. Additionally, values are available for the modeled history runs from 1951 - 2005. The modeled history and future projections have been merged into a single time series and averaged by decade. Climate Scenarios Climate models use future scenarios of greenhouse gas concentrations and human activities to project overall change. These different scenarios are called the [Shared Socioeconomic Pathways (SSPs)]. Three different SSPs are available here: 2-4.5, 3-7.0, and 5-8.5 (STAR does not have SSP3-7.0). The number before the dash represents a societal behavior scenario. The number after the dash indicates the amount of radiative forcing (watts per meter square) associated with the greenhouse gas concentration scenario in the year 2100 (higher forcing = greater warming). It is unclear which scenario will be the most likely, but SSP 2-4.5 currently aligns with the international targets of the COP-26 agreement. SSP3-7.0 may be the most likely scenario based on current emission trends. SSP5-8.5 acts as a cautionary tale, providing a worst-case scenario if reductions in greenhouse gasses are not undertaken. Data Export Exporting this data into shapefiles, geodatabases, GeoJSON, etc is enabled.
CRIS Zonal Statistics by County

This feature layer contains geographically summarized data for temperature and precipiation thresholds of observed historical climate and modeled projections from the 5th National Climate Assessment. The methodology for generating the summaries can be found at the [Climate Resilience Information System]. Layer contents: * 49 climate variables * Observed history by gridded climatology (Livneh and nClimGrid) * Modeled history for 16 general circulation models (GCMs) using two downscaling methods (LOCA2 and STAR), plus ensembles * Future projections across three scenarios (shared socioeconomic pathways or SSPs) for 16 GCMs using two downscaling methods (LOCA2 and STAR), plus ensembles * Decadal and annual summaries * Census TIGER/Line county boundaries, 2023 vintage ([link]) Known issues and limitations * There are no SSP370 data for STAR; this affects all associated GCMs and ensembles. Using the Data * Decadal and annual averages are served using related tables based on the Geographic Identifier. These layers can be analyzed or subsetted. Visualziation in the Map Viewer is only possible if the fields are joined to the features using the Geographic Identifier. * Additional tools are provided in the [CRIS Developers Hub] to assist in subsetting and analyzing these data. Additional Layers The [CRIS Open Data Hub] provides a variety of geographically summarized data, including much smaller and performant summaries of climate projections based on the blended ensembles used in the 5th National Climate Assessment.
CRIS Zonal Statistics by HUC 8 Watershed Boundary

This feature layer contains geographically summarized data for temperature and precipiation thresholds of observed historical climate and modeled projections from the 5th National Climate Assessment. The methodology for generating the summaries can be found at the [Climate Resilience Information System]. Layer contents: * 49 climate variables * Observed history by gridded climatology (Livneh and nClimGrid) * Modeled history for 16 general circulation models (GCMs) using two downscaling methods (LOCA2 and STAR), plus ensembles * Future projections across three scenarios (shared socioeconomic pathways or SSPs) for 16 GCMs using two downscaling methods (LOCA2 and STAR), plus ensembles * Decadal and annual summaries * Watershed boundary HUC 8s ([link]) Known issues and limitations * There are no SSP370 data for STAR; this affects all associated GCMs and ensembles. * Three files for STAR have yet to be processed and incorporated: IPSL-CM6A-LR_prmax20day_ssp245_historical_1950_2014.nc, GFDL-ESM4_prmax30day_ssp245_historical_1950_2014.nc, and BCC-CSM2-MR_tmin-jja_ssp585_2_2059_2100.nc. Using the Data * Decadal and annual averages are served using related tables based on the Geographic Identifier. These layers can be analyzed or subsetted. Visualziation in the Map Viewer is only possible if the fields are joined to the features using the Geographic Identifier. * Additional tools are provided in the [CRIS Developers Hub] to assist in subsetting and analyzing these data. Additional Layers
CRIS Zonal Statistics by Tribal Area

This feature layer contains geographically summarized data for temperature and precipiation thresholds of observed historical climate and modeled projections from the 5th National Climate Assessment. The methodology for generating the summaries can be found at the [Climate Resilience Information System]. Layer contents: * 49 climate variables * Observed history by gridded climatology (Livneh and nClimGrid) * Modeled history for 16 general circulation models (GCMs) using two downscaling methods (LOCA2 and STAR), plus ensembles * Future projections across three scenarios (shared socioeconomic pathways or SSPs) for 16 GCMs using two downscaling methods (LOCA2 and STAR), plus ensembles * Decadal and annual summaries * American Indian, Alaska Native, and Native Hawaiian areas ([link]) Known issues and limitations * There are no SSP370 data for STAR; this affects all associated GCMs and ensembles. Using the Data * Decadal and annual averages are served using related tables based on the Geographic Identifier. These layers can be analyzed or subsetted. Visualziation in the Map Viewer is only possible if the fields are joined to the features using the Geographic Identifier. * Additional tools are provided in the [CRIS Developers Hub] to assist in subsetting and analyzing these data. Additional Layers
LOCA2-Ensemble SSP5-8.5 Energy Indicators

The [Climate Resilience Information System] (CRIS) provides data and tools for developers of climate services. This layer has projections of VAR in decadal increments from 1950 to 2100 and for three Shared Socioeconomic Pathways (SSPs). The variables included are: * Cooling degree (F) days * Heating degree (F) days This layer uses data from the LOCA2 downscaled climate models for the Contiguous United States. Further processing by the NOAA Technical Support Unit at CICS-NC and Esri are explained below. For each time and SSP, there are minimum, maximum, and mean values for the defined respective geography: counties, tribal areas, HUC-8 watersheds. The process for deriving these summaries is available in [Understanding CRIS Data]. The combination of time and geography is available for a weighted ensemble of 16 climate projections. More details on the models included in the ensemble and the weighting methodologies can be found in [CRIS Data Preparation]. Other climate variables are available from the CRIS website’s [Data Gallery page] or can be accessed in the table below. Additional geographies, including Alaska, Hawai’i and Puerto Rico will be made available in the future. Geographies This layer provides projected values for three geographies: county, tribal area, and HUC-8 watersheds. * County: based on the U.S. Census TIGER/Line [2022 distribution]. * Tribal areas: based on the U.S. Census American Indian/Alaska Native/Native Hawaiian Area dataset [2022 distribution]. This dataset includes federal- and state-recognized statistical areas. * HUC-8 watershed: based on the [USGS Washed Boundary Dataset], part of the National Hydrography Database Plus High Resolution. Time Ranges Projected climate threshold values (e.g. Days Over 90°F) were calculated for each year from 2005 to 2100. Additionally, values are available for the modeled history runs from 1951 - 2005. The modeled history and future projections have been merged into a single time series and averaged by decade. Climate Scenarios Climate models use future scenarios of greenhouse gas concentrations and human activities to project overall change. These different scenarios are called the [Shared Socioeconomic Pathways (SSPs)]. Three different SSPs are available here: 2-4.5, 3-7.0, and 5-8.5 (STAR does not have SSP3-7.0). The number before the dash represents a societal behavior scenario. The number after the dash indicates the amount of radiative forcing (watts per meter square) associated with the greenhouse gas concentration scenario in the year 2100 (higher forcing = greater warming). It is unclear which scenario will be the most likely, but SSP 2-4.5 currently aligns with the international targets of the COP-26 agreement. SSP3-7.0 may be the most likely scenario based on current emission trends. SSP5-8.5 acts as a cautionary tale, providing a worst-case scenario if reductions in greenhouse gasses are not undertaken. Data Export Exporting this data into shapefiles, geodatabases, GeoJSON, etc is enabled.
LOCA2-STAR Ensemble SSP2-4.5 Energy Indicators

The [Climate Resilience Information System] (CRIS) provides data and tools for developers of climate services. This layer has projections of VAR in decadal increments from 1950 to 2100 and for three Shared Socioeconomic Pathways (SSPs). The variables included are: * Cooling degree (F) days * Heating degree (F) days This layer uses data from the LOCA2 and STAR-ESDM downscaled climate models for the Contiguous United States. Further processing by the NOAA Technical Support Unit at CICS-NC and Esri are explained below. For each time and SSP, there are minimum, maximum, and mean values for the defined respective geography: counties, tribal areas, HUC-8 watersheds. The process for deriving these summaries is available in [Understanding CRIS Data]. The combination of time and geography is available for a weighted ensemble of 16 climate projections. More details on the models included in the ensemble and the weighting methodologies can be found in [CRIS Data Preparation]. Other climate variables are available from the CRIS website’s [Data Gallery page] or can be accessed in the table below. Additional geographies, including Alaska, Hawai’i and Puerto Rico will be made available in the future. Geographies This layer provides projected values for three geographies: county, tribal area, and HUC-8 watersheds. * County: based on the U.S. Census TIGER/Line [2022 distribution]. * Tribal areas: based on the U.S. Census American Indian/Alaska Native/Native Hawaiian Area dataset [2022 distribution]. This dataset includes federal- and state-recognized statistical areas. * HUC-8 watershed: based on the [USGS Washed Boundary Dataset], part of the National Hydrography Database Plus High Resolution. Time Ranges Projected climate threshold values (e.g. Days Over 90°F) were calculated for each year from 2005 to 2100. Additionally, values are available for the modeled history runs from 1951 - 2005. The modeled history and future projections have been merged into a single time series and averaged by decade. Climate Scenarios Climate models use future scenarios of greenhouse gas concentrations and human activities to project overall change. These different scenarios are called the [Shared Socioeconomic Pathways (SSPs)]. Three different SSPs are available here: 2-4.5, 3-7.0, and 5-8.5 (STAR does not have SSP3-7.0). The number before the dash represents a societal behavior scenario. The number after the dash indicates the amount of radiative forcing (watts per meter square) associated with the greenhouse gas concentration scenario in the year 2100 (higher forcing = greater warming). It is unclear which scenario will be the most likely, but SSP 2-4.5 currently aligns with the international targets of the COP-26 agreement. SSP3-7.0 may be the most likely scenario based on current emission trends. SSP5-8.5 acts as a cautionary tale, providing a worst-case scenario if reductions in greenhouse gasses are not undertaken. Data Export Exporting this data into shapefiles, geodatabases, GeoJSON, etc is enabled.