AndreaBozzo/ceres-open-data-index huggingface dataset:
EPA Facility Registry Service - RCRA Large Quality Generators (RCRA LQG)

Overview This layer provides location and facility information for hazardous waste large quantity generators (LQG) found in the [Resource Conservation and Recovery Act Information System] (RCRAInfo). RCRAInfo is the EPA’s comprehensive information system which supports the Resource Conservation and Recovery Act (RCRA) of 1976 and the Solid Waste Amendments (HSWA) for 1984. To learn more about LQGs, view the [factsheet.] [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 Large Quantity Generators (LQG) * This layer contains detailed location and facility information for hazardous waste LQGs, which are facilities generating large amounts of hazardous waste regulated under RCRA. * Data fields include facility identifiers, names, addresses, geographic coordinates (latitude and longitude), and administrative metadata such as EPA region codes and environmental interest types. * Additional attributes provide insights into the facility’s regulatory status, location accuracy, and links to program-specific reports and webpages for further information. Geographic Coverage The dataset covers facilities across the United States, including territories and tribal areas. Applications * Supporting environmental regulatory agencies in tracking and monitoring hazardous waste generators. * Facilitating public access to accurate facility information for environmental research and community awareness. * Enabling integration with other environmental datasets for broader environmental health and compliance studies. Data Source and Quality The data is maintained by the U.S. Environmental Protection Agency with systematic updates to ensure accuracy and relevance. Geospatial coordinates conform to the NAD83 datum, and metadata fields document data creation and update dates to help assess currency. Licensing Unless otherwise specified, the data is in the public domain, free for use without copyright restrictions. Users should review associated metadata for any specific use conditions.
EPA Facility Registry Service - Superfund National Priorities List (SEMS NPL)

Overview This layer provides location and facility information for sites found in the Superfund National Priorities List (NPL). The NPL lists national priorities among the known releases or threatened releases of hazardous substances, pollutants, or contaminants throughout the United States. The NPL is recorded in the [Superfund Enterprise Management System] (SEMS), which serves as a comprehensive inventory of active and archived hazardous waste sites evaluated by the Superfund program. To learn more about NPL visit the [webpage]. 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_NPL Facilities: This web feature service contains location and facility identification information from EPA's Facility Registry Service (FRS) for the subset of facilities that are listed on the Superfund National Priorities List (NPL). This layer includes detailed facility information such as official facility names, physical addresses, geographic coordinates standardized to NAD83, and administrative jurisdiction details including city, county, and state. Additionally, the data includes unique identifiers like the EPA Facility Registry System Registry ID and Program System IDs, enhancing data integration and record uniqueness. Geographic Coverage The data represent locations spanning all U.S. states, territories and tribal lands. Use Cases * Environmental compliance monitoring * Hazardous site management and remediation planning * Public information and outreach regarding Superfund sites * Integration into GIS applications for spatial analysis and reporting Additional Information The service includes links to program and facility-level web pages for more detailed resources and reports. Data quality is supported through precise geospatial location accuracy measurements and metadata on data collection methods and update timestamps. Users are advised to review the associated metadata for limitations and usage recommendations. The EPA places this data in the public domain, facilitating wide accessibility and use.
EPA Facility Registry Service - Integrated Compliance Information System (ICIS) Wastewater Treatment Plants

This layer provides location and facility information for wastewater treatment plants from the [Integrated Compliance Information System] (ICIS). The dat are presented with three different view options at the facility level: 1.) display of Publicly Owned Treatment Works and Federal facilities, 2.) Display of all facilities, categorized as Major, Minor and Other/Nonclassified, and 3.) Display of facilities with Combined Sewer Outfalls. ICIS 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].
EPA Facility Registry Service - Toxic Release Inventory (TRI) Sites

Overview This layer provides facility information for the [Toxic Release Inventory] (TRI). TRI is EPA's publicly available database that contains more than 650 toxic chemicals that are being used by industry groups and federal facilities, manufactured, treated, transported, or released into the environment. For more information on TRI and TRI facilities, visit the[TRI Search tool]. 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]. Geographic Coverage The data encompasses facility locations throughout the United States, including territories and tribal areas. Use Cases and Applications * Supports environmental regulators and policymakers in monitoring toxic chemical releases and compliance with environmental laws. * Assists researchers and the public in identifying and understanding facilities involved in chemical manufacturing and release activities. * Enables geospatial analysis for environmental impact assessments, emergency response planning, and community health studies. Data Source and Licensing This Feature Service is maintained by the EPA FRS Support team and is based on data from the EPA's national environmental program for the Toxic Release Inventory. Data is updated regularly, ensuring current information is available. The dataset is in the U.S. public domain, freely accessible for use under the U.S. Government public domain status, with no warranty on accuracy or suitability.
Livneh Historical Observations Cold Days

The [Climate Resilience Information System] (CRIS) provides data and tools for developers of climate services. This layer has historical variables in decadal increments from 1950 to 2020 derived from historical observations of air temperature and precipitation. The variables included are: * Annual number of days with a minimum temperature less than or equal to 0°F * Annual number of days with a minimum temperature less than or equal to 28°F * Annual number of days with a minimum temperature less than or equal to 32°F * Annual number of days with a maximum temperature less than or equal to 32°F This layer uses data from the [Livneh gridded precipitation and other meteorological variables for continental US, Mexico and southern Canada]. Further processing by Esri is explained below. For each variable, there are mean values for the defined respective geography: counties, tribal areas, HUC-8 watersheds. The process for deriving these summaries is available from the CRIS Website’s [About the Data]. Other climate variables are available from the [CRIS Data] page. Additional geographies, including Alaska, Hawai’i and Puerto Rico will be made available in the future. Geographies This layer provides historic 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 Historic climate threshold values (e.g. Days Over 90°F) were calculated for each year from 1950 to 2020. To ensure the layer displays time correctly, under 'Map properties' set Time zone to 'Universal Coordinated Time (UTC)' and under 'Time slider options' set Time intervals to '1 Decade'. Data Citation Livneh, B., T. J. Bohn, D. W. Pierce, F. Munoz-Arriola, B. Nijssen, R. Vose, D. R. Cayan, and L. Brekke, 2015: A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950 - 2013. Scientific Data, 2, [https://doi.org/10.1038/sdata.2015.42]. Data Export Exporting this data into shapefiles, geodatabases, GeoJSON, etc is enabled.
Livneh Historical Observations Energy Indicators

The [Climate Resilience Information System] (CRIS) provides data and tools for developers of climate services. This layer has historical variables in decadal increments from 1950 to 2020 derived from historical observations of air temperature and precipitation. The variables included are: * Cooling degree (F) days * Heating degree (F) days This layer uses data from the [Livneh gridded precipitation and other meteorological variables for continental US, Mexico and southern Canada]. Further processing by Esri is explained below. For each variable, there are mean values for the defined respective geography: counties, tribal areas, HUC-8 watersheds. The process for deriving these summaries is available from the CRIS Website’s [About the Data]. Other climate variables are available from the [CRIS Data] page. Additional geographies, including Alaska, Hawai’i and Puerto Rico will be made available in the future. Geographies This layer provides historic 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 Historic climate threshold values (e.g. Days Over 90°F) were calculated for each year from 1950 to 2020. To ensure the layer displays time correctly, under 'Map properties' set Time zone to 'Universal Coordinated Time (UTC)' and under 'Time slider options' set Time intervals to '1 Decade'. Data Citation Livneh, B., T. J. Bohn, D. W. Pierce, F. Munoz-Arriola, B. Nijssen, R. Vose, D. R. Cayan, and L. Brekke, 2015: A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950 - 2013. Scientific Data, 2, [https://doi.org/10.1038/sdata.2015.42]. Data Export Exporting this data into shapefiles, geodatabases, GeoJSON, etc is enabled.
Livneh Historical Observations Hot Days

The [Climate Resilience Information System] (CRIS) provides data and tools for developers of climate services. This layer has historical variables in decadal increments from 1950 to 2020 derived from historical observations of air temperature and precipitation. The variables included are: * Annual number of days with a maximum temperature greater than or equal to 85°F * Annual number of days with a maximum temperature greater than or equal to 86°F * Annual number of days with a maximum temperature greater than or equal to 90°F * Annual number of days with a maximum temperature greater than or equal to 95°F * Annual number of days with a maximum temperature greater than or equal to 100°F * Annual number of days with a maximum temperature greater than or equal to 105°F * Annual number of days with a maximum temperature greater than or equal to 110°F * Annual number of days with a maximum temperature greater than or equal to 115°F This layer uses data from the [Livneh gridded precipitation and other meteorological variables for continental US, Mexico and southern Canada]. Further processing by Esri is explained below. For each variable, there are mean values for the defined respective geography: counties, tribal areas, HUC-8 watersheds. The process for deriving these summaries is available from the CRIS Website’s [About the Data]. Other climate variables are available from the [CRIS Data] page. Additional geographies, including Alaska, Hawai’i and Puerto Rico will be made available in the future. Geographies This layer provides historic 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 Historic climate threshold values (e.g. Days Over 90°F) were calculated for each year from 1950 to 2020. To ensure the layer displays time correctly, under 'Map properties' set Time zone to 'Universal Coordinated Time (UTC)' and under 'Time slider options' set Time intervals to '1 Decade'. Data Citation Livneh, B., T. J. Bohn, D. W. Pierce, F. Munoz-Arriola, B. Nijssen, R. Vose, D. R. Cayan, and L. Brekke, 2015: A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950 - 2013. Scientific Data, 2, [https://doi.org/10.1038/sdata.2015.42]. Data Export Exporting this data into shapefiles, geodatabases, GeoJSON, etc is enabled.
Livneh Historical Observations Temperature Variables

The [Climate Resilience Information System] (CRIS) provides data and tools for developers of climate services. This layer has historical variables in decadal increments from 1950 to 2020 derived from historical observations of air temperature and precipitation. The variables included are: * Annual average daily maximum temperature (°F) * Annual average daily temperature (°F) * Annual average daily minimum temperature (°F) * Annual single highest maximum temperature (°F) * Annual single lowest minimum temperature (°F) * Annual average summertime (June, July, August) temperature (°F) This layer uses data from the [Livneh gridded precipitation and other meteorological variables for continental US, Mexico and southern Canada]. Further processing by Esri is explained below. For each variable, there are mean values for the defined respective geography: counties, tribal areas, HUC-8 watersheds. The process for deriving these summaries is available from the CRIS Website’s [About the Data]. Other climate variables are available from the [CRIS Data] page. Additional geographies, including Alaska, Hawai’i and Puerto Rico will be made available in the future. Geographies This layer provides historic 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 Historic climate threshold values (e.g. Days Over 90°F) were calculated for each year from 1950 to 2020. To ensure the layer displays time correctly, under 'Map properties' set Time zone to 'Universal Coordinated Time (UTC)' and under 'Time slider options' set Time intervals to '1 Decade'. Data Citation Livneh, B., T. J. Bohn, D. W. Pierce, F. Munoz-Arriola, B. Nijssen, R. Vose, D. R. Cayan, and L. Brekke, 2015: A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950 - 2013. Scientific Data, 2, [https://doi.org/10.1038/sdata.2015.42]. Data Export Exporting this data into shapefiles, geodatabases, GeoJSON, etc is enabled.
Livneh Historical Observations Precipitation Totals

The [Climate Resilience Information System] (CRIS) provides data and tools for developers of climate services. This layer has historical variables in decadal increments from 1950 to 2020 derived from historical observations of air temperature and precipitation. The variables included are: * Annual total precipitation (inches) * Annual highest precipitation total for a single day (inches) * Annual highest precipitation total over a 5-day period (inches) * Annual highest precipitation total over a 10-day period (inches) * Daily non-zero precipitation 90th percentile value (inches) * Daily non-zero precipitation 95th percentile value (inches) * Daily non-zero precipitation 99th percentile value (inches) * Annual total precipitation for all days exceeding the 90th percentile (inches) * Annual total precipitation for all days exceeding the 95th percentile (inches) * Annual total precipitation for all days exceeding the 99th percentile (inches) This layer uses data from the [Livneh gridded precipitation and other meteorological variables for continental US, Mexico and southern Canada]. Further processing by Esri is explained below. For each variable, there are mean values for the defined respective geography: counties, tribal areas, HUC-8 watersheds. The process for deriving these summaries is available from the CRIS Website’s [About the Data]. Other climate variables are available from the [CRIS Data] page. Additional geographies, including Alaska, Hawai’i and Puerto Rico will be made available in the future. Geographies This layer provides historic 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 Historic climate threshold values (e.g. Days Over 90°F) were calculated for each year from 1950 to 2020. To ensure the layer displays time correctly, under 'Map properties' set Time zone to 'Universal Coordinated Time (UTC)' and under 'Time slider options' set Time intervals to '1 Decade'. Data Citation Livneh, B., T. J. Bohn, D. W. Pierce, F. Munoz-Arriola, B. Nijssen, R. Vose, D. R. Cayan, and L. Brekke, 2015: A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950 - 2013. Scientific Data, 2, [https://doi.org/10.1038/sdata.2015.42]. Data Export Exporting this data into shapefiles, geodatabases, GeoJSON, etc is enabled.
Livneh Historical Observations Days with Heavy Precipitation

The [Climate Resilience Information System] (CRIS) provides data and tools for developers of climate services. This layer has historical variables in decadal increments from 1950 to 2020 derived from historical observations of air temperature and precipitation. The variables included are: * Annual number of days with total precipitation greater than or equal to 1 inch * Annual number of days with total precipitation greater than or equal to 2 inches * Annual number of days with total precipitation greater than or equal to 3 inches * Annual number of days with total precipitation greater than or equal to 4 inches * Annual number of days with total precipitation greater than or equal to 5 inches * Daily non-zero precipitation 90th percentile value (inches) * Daily non-zero precipitation 95th percentile value (inches) * Daily non-zero precipitation 99th percentile value (inches) * Annual number of days with precipitation exceeding the 90th percentile for non-zero precipitation days * Annual number of days with precipitation exceeding the 95th percentile for non-zero precipitation days * Annual number of days with precipitation exceeding the 99th percentile for non-zero precipitation days This layer uses data from the [Livneh gridded precipitation and other meteorological variables for continental US, Mexico and southern Canada]. Further processing by Esri is explained below. For each variable, there are mean values for the defined respective geography: counties, tribal areas, HUC-8 watersheds. The process for deriving these summaries is available from the CRIS Website’s [About the Data]. Other climate variables are available from the [CRIS Data] page. Additional geographies, including Alaska, Hawai’i and Puerto Rico will be made available in the future. Geographies This layer provides historic 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 Historic climate threshold values (e.g. Days Over 90°F) were calculated for each year from 1950 to 2020. To ensure the layer displays time correctly, under 'Map properties' set Time zone to 'Universal Coordinated Time (UTC)' and under 'Time slider options' set Time intervals to '1 Decade'. Data Citation Livneh, B., T. J. Bohn, D. W. Pierce, F. Munoz-Arriola, B. Nijssen, R. Vose, D. R. Cayan, and L. Brekke, 2015: A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950 - 2013. Scientific Data, 2, [https://doi.org/10.1038/sdata.2015.42]. Data Export Exporting this data into shapefiles, geodatabases, GeoJSON, etc is enabled.