AndreaBozzo/ceres-open-data-index huggingface dataset:
Recent Hurricanes, Cyclones and Typhoons

This layer features tropical storm (hurricanes, typhoons, cyclones) tracks, positions, and observed wind swaths from the past hurricane season for the Atlantic, Pacific, and Indian Basins. These are products from the [National Hurricane Center] (NHC) and [Joint Typhoon Warning Center] (JTWC). They are part of an archive of tropical storm data maintained in the [International Best Track Archive for Climate Stewardship] (IBTrACS) database by the [NOAA National Centers for Environmental Information]. Data Source * NOAA National Hurricane Center [tropical cyclone best track archive]. Update Frequency * We automatically check these products for updates every 15 minutes from the [NHC GIS Data page]. * The NHC shapefiles are parsed using the [Aggregated Live Feeds methodology] to take the returned information and serve the data through ArcGIS Server as a map service. Area Covered * World What can you do with this layer? * Customize the display of each attribute by using the ‘Change Style’ option for any layer. * Run a filter to query the layer and display only specific types of storms or areas. * Add to your map with other weather data layers to provide insight on hazardous weather events. * Use ArcGIS Online analysis tools like ‘Enrich Data’ on the Observed Wind Swath layer to determine the impact of cyclone events on populations. * Visualize data in ArcGIS Insights or Operations Dashboards. This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency. Always refer to [NOAA] or JTWC sources for official guidance. 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!
Extreme Heat Watches and Warnings

This feature service depicts the [National Weather Service] (NWS) watches, warnings, and advisories within the United States. Watches and warnings are classified into [43 categories]. * A warning is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. A warning means weather conditions pose a threat to life or property. People in the path of the storm need to take protective action. * A watch is used when the risk of a hazardous weather or hydrologic event has increased significantly, but its occurrence, location or timing is still uncertain. It is intended to provide enough lead time so those who need to set their plans in motion can do so. A watch means that hazardous weather is possible. People should have a plan of action in case a storm threatens, and they should listen for later information and possible warnings especially when planning travel or outdoor activities. * An advisory is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. Advisories are for less serious conditions than warnings, that cause significant inconvenience and if caution is not exercised, could lead to situations that may threaten life or property. Source * National Weather Service RSS-CAP Warnings and Advisories: [Public Alerts] * National Weather Service Boundary Overlays: [AWIPS Shapefile Database] Sample Data * See [Sample Layer Item] for sample data during Weather inactivity! Update Frequency * The services is updated every 5 minutes using the [Aggregated Live Feeds methodology]. * The overlay data is checked and updated daily from the official [AWIPS Shapefile Database]. Area Covered * United States and Territories What can you do with this layer? * Customize the display of each attribute by using the [Change Style] option for any layer. * Query the layer to display only specific types of weather watches and warnings. * Add to a map with other weather data layers to provide insight on hazardous weather events. * Use ArcGIS Online analysis tools, such as Enrich Data, to determine the potential impact of weather events on populations.
Coastal Flooding Watches and Warnings

This feature service depicts the [National Weather Service] (NWS) watches, warnings, and advisories within the United States. Watches and warnings are classified into [43 categories]. Those 43 categories have been filtered to just coastal watches, warnings, and advisories: coastal flooding, hurricanes, tropical storms. * A warning is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. A warning means weather conditions pose a threat to life or property. People in the path of the storm need to take protective action. * A watch is used when the risk of a hazardous weather or hydrologic event has increased significantly, but its occurrence, location or timing is still uncertain. It is intended to provide enough lead time so those who need to set their plans in motion can do so. A watch means that hazardous weather is possible. People should have a plan of action in case a storm threatens, and they should listen for later information and possible warnings especially when planning travel or outdoor activities. * An advisory is issued when a hazardous weather or hydrologic event is occurring, imminent or likely. Advisories are for less serious conditions than warnings, that cause significant inconvenience and if caution is not exercised, could lead to situations that may threaten life or property. Source * National Weather Service RSS-CAP Warnings and Advisories: [Public Alerts] * National Weather Service Boundary Overlays: [AWIPS Shapefile Database] Sample Data * See [Sample Layer Item] for sample data during Weather inactivity! Update Frequency * The services is updated every 5 minutes using the [Aggregated Live Feeds methodology]. * The overlay data is checked and updated daily from the official [AWIPS Shapefile Database]. Area Covered * United States and Territories What can you do with this layer? * Customize the display of each attribute by using the [Change Style] option for any layer. * Query the layer to display only specific types of weather watches and warnings. * Add to a map with other weather data layers to provide insight on hazardous weather events. * Use ArcGIS Online analysis tools, such as Enrich Data, to determine the potential impact of weather events on populations.
USA Unexploded Ordnance

[Unexploded ordnances (or UXOs/UXBs, sometimes identified as UO)] are explosive weapons (bombs, bullets, shells, grenades, land mines, naval mines, etc.) that did not explode when they were used and still pose a risk of detonation, potentially many decades after they were used or discarded. This layer depicts Unexploded ordnances in known ocean areas. Casualties have been incurred from accidental and naive contact with live munitions, and could possibly be avoided. While “UXO” is widely and informally used, according to the US Environmental Protection Agency (EPA), [munitions and explosives of concern (MEC)] is the current preferred terminology within the remediation community. This is NOT a complete collection of unexploded ordnances on the seafloor, nor are the locations to be considered exact. The marine environment is of ambulatory nature, so locations may change on a tide-by-tide basis. The presence and locations of the unexploded ordnance have been derived from graphical representations recorded on NOAA Raster Navigation Charts. Cleanup and clearance efforts are ongoing, but are slow in progress. Efforts such as [underway replenishment (UNREP)], must be conducted in a marine area that is suitably located with sea heights that are adequate to keep vessels from danger of existing UXOs, without loss of more munitions. Location of an existing UXO concern area, may indicate previously unsuitable conditions that should be avoided. This data was obtained from NOAA's Coastal Services Center ftp site (ftp://ftp.csc.noaa.gov/pub/MSP/) and is updated regularly. The polygon features in this layer contain attributes for the type of area and effective date. Metadata can be accessed via the ftp site. What can you do with this layer? Identification of the general locations as a guiding step toward more detailed exploration and will characterize the approach and equipment capabilities and needs. Also, an UNREP, or replenishment at sea operation, is when one ship transfers fuel, supplies, or munitions to another ship while underway at sea. In order to conduct UNREP optimally, meteorological and oceanographic (METOC) conditions need to be suitable.
National Bridge Inventory

The National Bridge Inventory dataset is as of June 20, 2025 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The data describes more than 624,000 of the Nation's bridges located on public roads, including Interstate Highways, U.S. highways, State and local roads, as well as publicly-accessible bridges on Federal and Tribal lands. The inventory data presented includes information on the location, description, classification, and general condition for each bridge. The Recording and Coding Guide for the Structure Inventory and Appraisal of the Nation's Bridges (Coding Guide) contains a detailed description of each data element including coding instructions and attribute definitions. The Coding Guide is available at: https://doi.org/10.21949/1519105. For additional questions regarding regulations for the National Bridge Inventory or the Coding Guide please contact the National Bridge and Tunnel Inventory team at NBTIS_Support@dot.gov. For questions on the geospatial component of the dataset, contact the NTAD team at NTAD@dot.gov. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1519105
National Levee Database

National Levee Database This feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Army Corps of Engineers (USACE), displays levees within the United States. Per [USACE], “The National Levee Database captures all known levees in the United States. It provides users with the ability to search for specific data about levees and serves as a national resource to support awareness and preparedness around flooding. The USACE is responsible for maintaining the National Levee Database and works in partnership with the Federal Emergency Management Agency (FEMA), and in close collaboration with other federal, state, and local governments and entities responsible for levees to obtain and share accurate and complete information.” [NGDA _ National Levee Database _ 800x400 _ Screen Capture] Leveed area in Morrisville, Pennsylvania Data downloaded: 9/22/2025 Data source: [NLD/Public] NGDAID: [161 (National Levee Database)] OGC API Features Link: ([National Levee Database - OGC Features]) copy this link to embed it in OGC Compliant viewers For more information, please visit: [National Levee Database] Support documentation: [NLD Data Dictionary] For feedback please contact: [Esri_US_Federal_Data@esri.com] NGDA Data Set This data set is part of the [NGDA Water - Inland Theme Community]. Per the Federal Geospatial Data Committee (FGDC), [Water - Inland] is defined as the “interior hydrologic features and characteristics, including classification, measurements, location, and extent. Includes aquifers, watersheds, wetlands, navigation, water quality, water quantity, and groundwater information.” For other NGDA Content: [Esri Federal Datasets]
Transportation (Roads and Railroads)

Transportation (Roads and Railroads) This feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Census Bureau, displays primary roads, secondary roads, local roads and railroads in the United States. According to the [USCB], "This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways." [Transportation] Interstates 20 and 635 Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source ([TIGERweb/Transportation]) and will support mapping, analysis, data exports and OGC API – Feature access. NGDAID: [155 (Series Information for All Roads County-based TIGER/Line Shapefiles, Current)] OGC API Features Link: ([Transportation - OGC Feature]) copy this link to embed it in OGC Compliant viewers For more information, please visit: [Census Feature Class Codes (CFCC)] For feedback please contact: [Esri_US_Federal_Data@esri.com] NGDA Data Set This data set is part of the [NGDA Governmental Units, and Administrative and Statistical Boundaries Theme Community]. Per the Federal Geospatial Data Committee (FGDC), this [theme] is defined as the "boundaries that delineate geographic areas for uses such as governance and the general provision of services (e.g., states, American Indian reservations, counties, cities, towns, etc.), administration and/or for a specific purpose (e.g., congressional districts, school districts, fire districts, Alaska Native Regional Corporations, etc.), and/or provision of statistical data (census tracts, census blocks, metropolitan and micropolitan statistical areas, etc.). Boundaries for these various types of geographic areas are either defined through a documented legal description or through criteria and guidelines. Other boundaries may include international limits, those of federal land ownership, the extent of administrative regions for various federal agencies, as well as the jurisdictional offshore limits of U.S. sovereignty. Boundaries associated solely with natural resources and/or cultural entities are excluded from this theme and are included in the appropriate subject themes." For other NGDA Content: [Esri Federal Datasets]
Monitoring Trends in Burn Severity in the Conterminous U.S.

Monitoring Trends in Burn Severity in the Conterminous U.S. This feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Forest Service (USFS), displays severity as unburned to low, low, moderate, high, and increased greenness (increased post-fire vegetation response). Per the [USFS], "The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (including wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships." [NGDA _ Monitoring Trends in Burn Severity in the Conterminous U_S_ _ 800x400 _ screen capture] Warren Grove Fire Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source ([Burned Area Boundaries (All Years)]) and will support mapping, analysis, data exports and OGC API – Feature access NGDAID: [116 (Monitoring Trends in Burn Severity Conterminous United States (Map Service))] OGC API Features Link: ([Monitoring Trends in Burn Severity in the Conterminous U.S. - OGC Features]) copy this link to embed it in OGC Compliant viewers For more information: [Monitoring Trends in Burn Severity]; [MTBS] Support Documentation: [S_USA.MTBS_Burn_Area_Boundary] For feedback please contact: [Esri_US_Federal_Data@esri.com] NGDA Data Set This data set is part of the [NGDA Land Use Land Cover Theme Community]. Per the Federal Geospatial Data Committee (FGDC), [Land Use-Land Cover] "is a term referring collectively to natural and man-made surface features that cover the land (Land Cover) and to the primary ways in which land cover is used by humans (Land Use). Examples of Land Cover may be grass, asphalt, trees, bare ground, water, etc. Examples of Land Use may be urban, agricultural, ranges, and forest areas." For other NGDA Content: [Esri Federal Datasets]
US Wind Turbine Database

The United States Wind Turbine Database (USWTDB) provides the locations of land-based and offshore wind turbines in the United States, corresponding wind project information, and turbine technical specifications. The creation of this database was jointly funded by the U.S. Department of Energy (DOE) Wind Energy Technologies Office (WETO) via the Lawrence Berkeley National Laboratory (LBNL) Electricity Markets and Policy Group, the U.S. Geological Survey (USGS) Energy Resources Program, and the American Clean Power Association (ACP). The database is being continuously updated through collaboration among LBNL, USGS, and ACP. Wind turbine records are collected and compiled from various public and private sources, digitized or position-verified from aerial imagery, and quality checked. Technical specifications for turbines are obtained directly from project developers and turbine manufacturers, or they are based on data obtained from public sources. Data accessed from here: [https://eerscmap.usgs.gov/uswtdb/]
Historical Precipitation Observations from nClimGrid

The [Climate Resilience Information System] (CRIS) provides data and tools for developers of climate services. This image service provides access to gridded historical observations for 16 threshold values of precipitation for the contiguous United States for 1950-2023. These services are intended to support analysis of climate exposure for custom geographies and time horizons. More details on the how the data were processed can be found in [Understanding CRIS Data]. Time Ranges Pixel values for each variable were calculated for each year from 1950 to 2023. Variable Definitions See the variable list and definitions [here]. Additional Services Two versions of the gridded hisorical observations [are available] from CRIS: 1. nClimGrid: a 4-km resolution dataset generated by NOAA. This data was used to downscale the STAR-ESDM climate projections in CRIS. 2. Livneh: a 6-km resolution dataset generated by Livneh et al. This data was used to downscale the LOCA2 climate projections in CRIS. Using the Imagery Layer The ArcGIS Tiled Imagery Service has a multidimensional structure -- a data cube with variable and time dimensions. Methods for accessing the different dimensions will depend on the software/client being used. For more details, please see the [CRIS Developer’s Hub] along with this instructional [StoryMap]. To run analysis, first use the multidimensional tools Aggregate or Subset in ArcGIS Pro to copy the necessary data locally. Data Export Data export is enabled on the services if using an ArcGIS client. NetCDF or Zarr files are also available from the NOAA Open Data Distribution system on Amazon Web Services.
Historical Precipitation Observations from Livneh

The [Climate Resilience Information System] (CRIS) provides data and tools for developers of climate services. This image service provides access to gridded historical observations for 16 threshold values of precipitation for the contiguous United States for 1950-2013. These services are intended to support analysis of climate exposure for custom geographies and time horizons. More details on the how the data were processed can be found in [Understanding CRIS Data]. Time Ranges Pixel values for each variable were calculated for each year from 1950 to 2013. Variable Definitions See the variable list and definitions [here]. Additional Services Two versions of the gridded hisorical observations [are available] from CRIS: 1. nClimGrid: a 4-km resolution dataset generated by NOAA. This data was used to downscale the STAR-ESDM climate projections in CRIS. 2. Livneh: a 6-km resolution dataset generated by Livneh et al. This data was used to downscale the LOCA2 climate projections in CRIS. Using the Imagery Layer The ArcGIS Tiled Imagery Service has a multidimensional structure -- a data cube with variable and time dimensions. Methods for accessing the different dimensions will depend on the software/client being used. For more details, please see the [CRIS Developer’s Hub] along with this instructional [StoryMap]. To run analysis, first use the multidimensional tools Aggregate or Subset in ArcGIS Pro to copy the necessary data locally. Data Export Data export is enabled on the services if using an ArcGIS client. NetCDF or Zarr files are also available from the NOAA Open Data Distribution system on Amazon Web Services.
Historical Temperature Observations from nClimGrid

The [Climate Resilience Information System] (CRIS) provides data and tools for developers of climate services. This image service provides access to gridded historical observations for 27 threshold values of temperature for the contiguous United States for 1950-2023. These services are intended to support analysis of climate exposure for custom geographies and time horizons. More details on the how the data were processed can be found in [Understanding CRIS Data]. Time Ranges Pixel values for each variable were calculated for each year from 1950 to 2023. Variable Definitions See the variable list and definitions [here]. Additional Services Two versions of the gridded hisorical observations [are available] from CRIS: 1. nClimGrid: a 4-km resolution dataset generated by NOAA. This data was used to downscale the STAR-ESDM climate projections in CRIS. 2. Livneh: a 6-km resolution dataset generated by Livneh et al. This data was used to downscale the LOCA2 climate projections in CRIS. Using the Imagery Layer The ArcGIS Tiled Imagery Service has a multidimensional structure -- a data cube with variable and time dimensions. Methods for accessing the different dimensions will depend on the software/client being used. For more details, please see the [CRIS Developer’s Hub] along with this instructional [StoryMap]. To run analysis, first use the multidimensional tools Aggregate or Subset in ArcGIS Pro to copy the necessary data locally. Data Export Data export is enabled on the services if using an ArcGIS client. NetCDF or Zarr files are also available from the NOAA Open Data Distribution system on Amazon Web Services.
Historical Temperature Observations from Livneh

The [Climate Resilience Information System] (CRIS) provides data and tools for developers of climate services. This image service provides access to gridded historical observations for 27 threshold values of temperature for the contiguous United States for 1950-2013. These services are intended to support analysis of climate exposure for custom geographies and time horizons. More details on the how the data were processed can be found in [Understanding CRIS Data]. Time Ranges Pixel values for each variable were calculated for each year from 1950 to 2013. Variable Definitions See the variable list and definitions [here]. Additional Services Two versions of the gridded hisorical observations [are available] from CRIS: 1. nClimGrid: a 4-km resolution dataset generated by NOAA. This data was used to downscale the STAR-ESDM climate projections in CRIS. 2. Livneh: a 6-km resolution dataset generated by Livneh et al. This data was used to downscale the LOCA2 climate projections in CRIS. Using the Imagery Layer The ArcGIS Tiled Imagery Service has a multidimensional structure -- a data cube with variable and time dimensions. Methods for accessing the different dimensions will depend on the software/client being used. For more details, please see the [CRIS Developer’s Hub] along with this instructional [StoryMap]. To run analysis, first use the multidimensional tools Aggregate or Subset in ArcGIS Pro to copy the necessary data locally. Data Export Data export is enabled on the services if using an ArcGIS client. NetCDF or Zarr files are also available from the NOAA Open Data Distribution system on Amazon Web Services.