AndreaBozzo/ceres-open-data-index huggingface dataset:
LOCA2-STAR 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 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.
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.
STAR-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 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.
Aviation Facilities

Aviation Facilities This National Geospatial Data Asset (NGDA) dataset, shared as a Bureau of Transportation Statistics feature layer, displays aviation facilities in the United States. Per [BTS], "The Aviation Facilities dataset is updated every 28 days from the Federal Aviation Administration (FAA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The Aviation Facilities dataset is a geographic point database of all official and operational aerodromes in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the aerodrome, current usage including enplanements and aircraft operations, congestion levels and usage categories." [Aviation Facilities] Zion Helicopters (ID: UT70) Data currency: current Federal Service ([Aviation Facilities]) NGDAID: [141 (Airports (National) - National Geospatial Data Asset (NGDA) Airports)] For more information: [Airports]; [Aviation Facilities] Support Documentation: [Aviation Facilities (Metadata)] For feedback please contact: [Esri_US_Federal_Data@esri.com] Thumbnail: Esri Basemaps (Imagery) NGDA Data Set This data set is part of the [NGDA Transportation Theme Community]. Per the Federal Geospatial Data Committee (FGDC), [Transportation] is defined as the "means and aids for conveying persons and/or goods. The transportation system includes both physical and non-physical components related to all modes of travel that allow the movement of goods and people between locations". For other NGDA Content: [Esri Federal Datasets]
EPA Facility Registry Service - Integrated Compliance Information System Federal Enforcement and Compliance (ICIS FE&C)

Overview This service provides location and facility information for sites regulated under the [Integrated Compliance Information System Federal Enforcement and Compliance]. The ICIS databases provide information on companies which have been issued permits to discharge wastewater into rivers. ICIS FE&C contains all Federal Administrative and Judicial enforcement actions and a subset of the Permit Compliance System (PCS), which supports the [National Pollutant Discharge Elimination System] (NPDES). To learn more about ICIS click [here] or use the [Enforcement and Compliance History Online] (ECHO) database. The [Facility Registry Service] (FRS) provides quality facility data to support EPA's mission of protecting human health and the environment by identifying and geospatially locating facilities, sites, or places subject to environmental regulations of environmental interest. Facility data is improved with geospatial processing of incoming data and data curation tools to provide an integrated, dataset to partners and the public through a variety of methods and products. For more detailed information about these facilities, use the [FRS Query tool]. Feature Layer * FRS Interests ICIS: This layer contains detailed information about facility sites including their regulatory interest types, location addresses, geographic identifiers (such as county, city, and state), hydrologic unit codes, and activity status. It also provides links to EPA program homepages and specific facility registry pages, supporting both public access and regulatory use. The data highlight environmental permit types, program system IDs, and regional office responsibilities. Geographic Coverage The dataset covers facilities across the United States and its territories, providing wide regional representation suitable for national scale environmental compliance analysis. Use Cases * Environmental regulatory compliance monitoring and enforcement tracking * Integration with EPA’s Enforcement and Compliance History Online (ECHO) and other public information portals * Support for research, policy making, and public information related to facility environmental impacts Access and Licensing The Feature Service is provided by the U.S. EPA as public domain data, allowing wide use with appropriate care taken for data limitations and accuracy as described in the metadata. It is updated regularly to reflect current enforcement and compliance information.
EPA Facility Registry Service - RCRA Active Hazardous Waste Sites

Overview This Feature Service provides comprehensive spatial and attribute data on active facilities regulated under the Resource Conservation and Recovery Act (RCRA), part of the EPA's Facility Registry Service (FRS). It serves as a national-level dataset identifying locations and detailed facility information for hazardous waste handlers actively engaged in RCRA activities. The [Facility Registry Service] (FRS) provides quality facility data to support EPA's mission of protecting human health and the environment by identifying and geospatially locating facilities, sites, or places subject to environmental regulations of environmental interest. Facility data is improved with geospatial processing of incoming data and data curation tools to provide an integrated, dataset to partners and the public through a variety of methods and products. For more detailed information about these facilities, use the [FRS Query tool]. Feature Layer * RCRA Active Facilities: This layer catalogs facilities currently active within EPA's [Resource Conservation and Recovery Act Information System] (RCRAInfo) with detailed attributes such as facility name, address, geographic identifiers, program system affiliations, interest types (e.g., generators or transporters of hazardous waste), and status indicators. The layer captures geographic coordinates based on NAD83 datum and hydrologic unit codes reflecting watershed regions of the facilities. It includes metadata on data collection methods, accuracy, and web links for additional information. RCRAInfo is the EPA's comprehensive information system which support the Resource Conservation and Recovery Act (RCRA) of 1976 and the Solid Waste Amendments (HSWA) for the 1984. For more information, visit the [Basics of Hazardous Waste] webpage. Geographic Coverage The dataset covers facilities throughout the United States and its territories, supporting regional EPA office jurisdictions via EPA region codes. It represents a nationwide registry important for environmental compliance, public transparency, and resource management. Use Cases * Supporting environmental regulatory compliance and enforcement related to hazardous waste management. * Facilitating public access to information on active hazardous waste sites for awareness and engagement. * Enabling GIS-based analysis for environmental planning, risk assessment, and remediation efforts at federal, state, and local levels. Additional Information This service includes data under a public domain licensing statement from the U.S. EPA, promoting open data usage with advisories related to accuracy and appropriate use. It is regularly curated and updated with the most recent reporting data from regulated facilities.
EPA Facility Registry Service – Superfund Enterprise Management System (SEMS)

Overview This layer provides location and attribute information for Facilities regulated under the [Superfund Enterprise Management System] (SEMS). SEMS integrates multiple legacy systems (e.g. CERCLIS, ICTS, SDMS) into a comprehensive inventory of active and archived hazardous waste sites evaluated by the Superfund program. It contains sites that are either proposed to be, or are on, the [National Priorities List] (NPL) as well as sites that are in the screening and assessment phase for possible inclusion in the NPL. The [Facility Registry Service] (FRS) provides quality facility data to support EPA's mission of protecting human health and the environment by identifying and geospatially locating facilities, sites, or places subject to environmental regulations of environmental interest. Facility data is improved with geospatial processing of incoming data and data curation tools to provide an integrated, dataset to partners and the public through a variety of methods and products. For more detailed information about these facilities, use the [FRS Query tool]. Feature Layer: SEMS Interests * This layer catalogs environmental interest facilities subject to hazardous waste remediation and cleanup efforts under Superfund. * Data fields include facility identification, location details such as address, city, county, state, and hydrologic unit codes, as well as regulatory program details, status, and federal involvement indicators. * Geospatial coordinates are standardized to the NAD83 datum to support accurate mapping and analysis. * Links to EPA resources provide users direct access to more detailed facility and program information. Geographic Coverage The dataset covers facilities across the United States and its territories and tribal areas. Use Cases * Supports environmental professionals, policymakers, and researchers in tracking Superfund site statuses and environmental compliance. * Enhances public access to information about hazardous waste sites and ongoing remediation efforts. * Enables geographic analysis of environmental interests related to hazardous waste and regulatory programs. Access and Licensing The data is publicly available in the U.S. public domain, with disclaimers regarding accuracy and intended usage noted by EPA. Users are encouraged to consult metadata for detailed data limitations and restrictions.
National Weather Service Precipitation Forecast

This map displays the [Quantitative Precipitation Forecast (QPF)] for the next 72 hours across the contiguous United States, Alaska, Hawaii, and Puerto Rico. Data are updated hourly from the [National Digital Forecast Database] produced by the National Weather Service. The dataset includes incremental and cumulative precipitation data in 6-hour intervals. In the ArcGIS Online map viewer you can enable the time animation feature and select either the "Amount by Time" (incremental) layer or the "Accumulation by Time" (cumulative) layer to view a 72-hour animation of forecast precipitation. All times are reported according to your local time zone. Where is the data coming from? [The National Digital Forecast Database (NDFD)] was designed to provide access to weather forecasts in digital form from a central location. The NDFD produces forecast data of sensible weather elements. NDFD contains a seamless mosaic of digital forecasts from [National Weather Service (NWS)] field offices working in collaboration with the [National Centers for Environmental Prediction (NCEP)]. All of these organizations are under the administration of the [National Oceanic and Atmospheric Administration (NOAA)]. Source: * CONUS: [https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.conus/VP.001-003/ds.qpf.bin] * ALASKA: [https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.alaska/VP.001-003/ds.qpf.bin] * HAWAII: [https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.hawaii/VP.001-003/ds.qpf.bin] * GUAM: Not Available * PUERTO RICO: [https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.puertori/VP.001-003/ds.qpf.bin] Where can I find other [NDFD] data? The Source data is downloaded and parsed using the [Aggregated Live Feeds methodology] to return information that can be served through ArcGIS Server as a map service or used to update Hosted Feature Services in Online or Enterprise. What can you do with this layer? This map service is suitable for data discovery and visualization. Identify features by clicking on the map to reveal the pre-configured pop-ups. View the time-enabled data using the time slider by Enabling Time Animation. Revisions * Jan 25, 2026: Added data for Alaska, Hawaii, and Puerto Rico identified by ‘region’ field for filtering. This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency. If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our [Live Feed Status] Page!
EPA Facility Registry Service - Major National Pollutant Discharge Elimination System Facilities (NPDES MAJOR)

Overview This layer provides the location and facility information for Major Facilities found in the [Clean Water Act (CWA)] [National Pollutant Discharge Elimination System] (NPDES). NPDES is the module of the Integrated Compliance Information System (ICIS). Publicly Owned Treatment Works (POTWs) Major dischargers are defined as facilities with design flows equal to or greater than one million gallons per day, or serve a population of 10,000 or more, or cause significant water quality impacts. Non-POTW discharges are classified as Major facilities on the basis of the number of points accumulated using a Rating worksheet, which evaluates the significance of a facility using several criteria, including toxic pollutant potential, flow volume, and water quality factors such as impairment of the receiving water or proximity of the discharge to coastal waters. The [Facility Registry Service] (FRS) provides quality facility data to support EPA's mission of protecting human health and the environment by identifying and geospatially locating facilities, sites, or places subject to environmental regulations of environmental interest. Facility data is improved with geospatial processing of incoming data and data curation tools to provide an integrated, dataset to partners and the public through a variety of methods and products. For more detailed information about these facilities, use the [FRS Query tool]. Feature Layers * Major NPDES Interest Facilities: This layer includes detailed information on major facilities that discharge pollutants and are regulated under the NPDES program. The data covers facilities classified as major dischargers, including Publicly Owned Treatment Works (POTWs) with significant design flows or serving large populations, and other facilities evaluated for their pollutant potential and environmental impact. Facility information includes site names, locations, regulatory statuses, program affiliations, and links to EPA resources for further details. Geographic Coverage The service covers all major NPDES facilities throughout the United States, including territories. The data includes specific references to counties, states, and hydrologic units, allowing users to analyze facility distribution and regulatory interest by varied geographic scales. Use Cases * Supporting environmental compliance tracking and regulatory enforcement by EPA and state agencies. * Enabling researchers and public stakeholders to access detailed facility and permit information for water quality assessments. * Facilitating environmental planning, policy-making, and resource allocation related to pollutant discharges. Data Source and Licensing The data is sourced from the EPA's Facility Registry Service and the Integrated Compliance Information System (ICIS). It is made publicly available under the U.S. public domain with no copyright restrictions, ensuring broad accessibility and use.