100+ datasets found
  1. n

    Geographic Regions

    • linc.osbm.nc.gov
    • demography.osbm.nc.gov
    • +3more
    csv, excel, geojson +1
    Updated Mar 19, 2021
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    (2021). Geographic Regions [Dataset]. https://linc.osbm.nc.gov/explore/dataset/north-carolina-geographic-regions/
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    csv, json, geojson, excelAvailable download formats
    Dataset updated
    Mar 19, 2021
    Description

    Provides regional identifiers for county based regions of various types. These can be combined with other datasets for visualization, mapping, analyses, and aggregation. These regions include:Metropolitan Statistical Areas (Current): MSAs as defined by US OMB in 2023Metropolitan Statistical Areas (2010s): MSAs as defined by US OMB in 2013Metropolitan Statistical Areas (2000s): MSAs as defined by US OMB in 2003Region: Three broad regions in North Carolina (Eastern, Western, Central)Council of GovernmentsProsperity Zones: NC Department of Commerce Prosperity ZonesNCDOT Divisions: NC Dept. of Transportation DivisionsNCDOT Districts (within Divisions)Metro Regions: Identifies Triangle, Triad, Charlotte, All Other Metros, & Non-MetropolitanUrban/Rural defined by:NC Rural Center (Urban, Regional/Suburban, Rural) - 2020 Census designations2010 Census (Urban = Counties with 50% or more population living in urban areas in 2010)2010 Census Urbanized (Urban = Counties with 50% or more of the population living in urbanized areas in 2010 (50,000+ sized urban area))Municipal Population - State Demographer (Urban = counties with 50% or more of the population living in a municipality as of July 1, 2019)Isserman Urban-Rural Density Typology

  2. FWS National Regional Boundaries

    • hub.arcgis.com
    • gis.data.alaska.gov
    • +1more
    Updated Jun 22, 2010
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    U.S. Fish & Wildlife Service (2010). FWS National Regional Boundaries [Dataset]. https://hub.arcgis.com/datasets/c9d8cd103c5c444f9f65a1bc0dfe1b95
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    Dataset updated
    Jun 22, 2010
    Dataset provided by
    U.S. Fish and Wildlife Servicehttp://www.fws.gov/
    Authors
    U.S. Fish & Wildlife Service
    Area covered
    Description

    This data set delineates the boundaries of the U.S. Fish and Wildlife Service geographic Regions. The dataset was created as a geographic representation of the Regional administrative boundaries of the US Fish and Wildlife Service at a very coarse scale. The boundaries were created using the ArcGIS shoreline dataset from approximately 1995. This dataset should not be used for legal purposes or at small scales and does not accurately denote the shorelines of the united states. The Regional Boundaries data set is managed by the FWS Headquarters Information Resources and Technology Management, Branch of Geospatial Data Management. The complete data and metadata can be accessed here: https://catalog.data.gov/dataset/us-fish-and-wildlife-service-regional-boundaries. This data set is a graphical representation and has limitations of accuracy as determined by, among others, the source, scale and resolution of the data. DOI Interior Regions / Regional Boundaries (https://fws.maps.arcgis.com/home/item.html?id=309aa728d6c041ceaefc1526a409b5d1).

  3. United States Census Regions 2022

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 14, 2022
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    U.S. Census Bureau (2022). United States Census Regions 2022 [Dataset]. https://koordinates.com/layer/110430-united-states-census-regions-2022/
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    geopackage / sqlite, shapefile, pdf, mapinfo tab, mapinfo mif, kml, dwg, csv, geodatabaseAvailable download formats
    Dataset updated
    Sep 14, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau
    Area covered
    United States,
    Description

    Census Current (2022) Legal and Statistical Entities Web Map Service; January 1, 2022 vintage.

    Census Regions are groupings of states and the District of Columbia that subdivide the United States for the presentation of census data. There are four census regions-Northeast, Midwest, South, and West. Each of the four census regions is divided into two or more census divisions. Puerto Rico and the Island Areas are not part of any census region or census division.

  4. w

    Websites using Interactive Map Of The Us Regions

    • webtechsurvey.com
    csv
    Updated Dec 29, 2024
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    WebTechSurvey (2024). Websites using Interactive Map Of The Us Regions [Dataset]. https://webtechsurvey.com/technology/interactive-map-of-the-us-regions
    Explore at:
    csvAvailable download formats
    Dataset updated
    Dec 29, 2024
    Dataset authored and provided by
    WebTechSurvey
    License

    https://webtechsurvey.com/termshttps://webtechsurvey.com/terms

    Time period covered
    2025
    Area covered
    Global, United States
    Description

    A complete list of live websites using the Interactive Map Of The Us Regions technology, compiled through global website indexing conducted by WebTechSurvey.

  5. d

    Data from: US States and Territories

    • disasterpartners.org
    • atlas.eia.gov
    • +17more
    Updated Aug 16, 2022
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    Esri (2022). US States and Territories [Dataset]. https://www.disasterpartners.org/datasets/esri2::us-states-and-territories
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    Dataset updated
    Aug 16, 2022
    Dataset authored and provided by
    Esri
    Area covered
    United States,
    Description

    Official NWS Advanced Weather Interactive Processing System (AWIPS) background US State and Territory designations.

    See: "http://www.nws.noaa.gov/geodata/index.html"

  6. Region Map for Website

    • usfs.hub.arcgis.com
    Updated Apr 26, 2018
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    U.S. Forest Service (2018). Region Map for Website [Dataset]. https://usfs.hub.arcgis.com/maps/8eed0788df9146d8b2fadfee5a9fc826
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    Dataset updated
    Apr 26, 2018
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    Area covered
    Description

    This map is for use in the Intermountain Region Website.

  7. US GDP Marine Extraction

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Dec 18, 2011
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    US National Oceanic and Atmospheric Administration (NOAA) (2011). US GDP Marine Extraction [Dataset]. https://koordinates.com/layer/20928-us-gdp-marine-extraction/
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    kml, csv, shapefile, mapinfo mif, geopackage / sqlite, geodatabase, dwg, mapinfo tab, pdfAvailable download formats
    Dataset updated
    Dec 18, 2011
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    US National Oceanic and Atmospheric Administration (NOAA)
    Area covered
    Description

    This layer is a component of ENOW_Counties.

    This map service presents spatial information about the Economics: National Ocean Watch (ENOW) data in the Web Mercator projection. The ENOW data provides time-series data on the ocean and Great Lakes economy, which includes six economic sectors dependent on the oceans and Great Lakes, and measures four economic indicators: Establishments, Employment, Wages, and Gross Domestic Product (GDP). The annual time-series data are available for about 400 coastal counties, 30 coastal states, 8 regions, and the nation. The service was developed by the National Oceanic and Atmospheric Administration (NOAA), but may contain data and information from a variety of data sources, including non-NOAA data. NOAA provides the information “as-is” and shall incur no responsibility or liability as to the completeness or accuracy of this information. NOAA assumes no responsibility arising from the use of this information. The NOAA Office for Coastal Management will make every effort to provide continual access to this service but it may need to be taken down during routine IT maintenance or in case of an emergency. If you plan to ingest this service into your own application and would like to be informed about planned and unplanned service outages or changes to existing services, please register for our Data Services Newsletter (http://coast.noaa.gov/digitalcoast/publications/subscribe). For additional information, please contact the NOAA Office for Coastal Management (coastal.info@noaa.gov).

    © NOAA Office for Coastal Management

  8. 2022 Cartographic Boundary File (SHP), Division for United States,...

    • catalog.data.gov
    • gimi9.com
    Updated Dec 14, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2022 Cartographic Boundary File (SHP), Division for United States, 1:20,000,000 [Dataset]. https://catalog.data.gov/dataset/2022-cartographic-boundary-file-shp-division-for-united-states-1-20000000
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    The 2022 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. Divisions are groupings of states within a census geographic region, established by the Census Bureau for the presentation of census data. The current nine divisions (East North Central, East South Central, Middle Atlantic, Mountain, New England, Pacific, South Atlantic, West North Central, and West South Central) are intended to represent relatively homogeneous areas that are subdivisions of the four census geographic regions.

  9. a

    Northeastern States State Boundary Set

    • hub.arcgis.com
    • geodata.ct.gov
    • +3more
    Updated Oct 30, 2019
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    Department of Energy & Environmental Protection (2019). Northeastern States State Boundary Set [Dataset]. https://hub.arcgis.com/maps/73de6773a9d64f77a1fac65bbaaf4323
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    Dataset updated
    Oct 30, 2019
    Dataset authored and provided by
    Department of Energy & Environmental Protection
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    Northeastern United States State Boundary data are intended for geographic display of state boundaries at statewide and regional levels. Use it to map and label states on a map. These data are derived from Northeastern United States Political Boundary Master layer. This information should be displayed and analyzed at scales appropriate for 1:24,000-scale data. The State of Connecticut, Department of Environmental Protection (CTDEP) assembled this regional data layer using data from other states in order to create a single, seamless representation of political boundaries within the vicinity of Connecticut that could be easily incorporated into mapping applications as background information. More accurate and up-to-date information may be available from individual State government Geographic Information System (GIS) offices. Not intended for maps printed at map scales greater or more detailed than 1:24,000 scale (1 inch = 2,000 feet.)

  10. d

    Regional geophysical maps of the Great Basin, USA

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Regional geophysical maps of the Great Basin, USA [Dataset]. https://catalog.data.gov/dataset/regional-geophysical-maps-of-the-great-basin-usa
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Great Basin, United States
    Description

    Regional geophysical maps of the Great Basin, USA were generated from new and existing sources to support ongoing efforts to characterize geothermal resource potential in the western US. These include: (1) a provisional regional gravity grid that was produced from data compiled from multiple sources: data collected by the USGS and Utah Geological Survey under various projects, industry sources, and regional compilations derived from two sources: a Nevada state-wide database (Ponce, 1997), and a public domain dataset (Hildenbrand et al., 2002), (2) a regional magnetic grid derived from the North American magnetic compilation map of Bankey et al. (2002) and, (3) a regional depth-to-basement grid derived from Shaw and Boyd (2018). References: Bankey, V., Cuevas, A., Daniels, D., Finn, C.A., Hernandez, I., Hill, P., Kucks, R., Miles, W., Pilkington, M., Roberts, C., Roest, W., Rystrom, V., Shearer, S., Snyder, S., Sweeney, R.E., Velez, J., Phillips, J.D., and Ravat, D.K.A., 2002, Digital data grids for the magnetic anomaly map of North America, U.S. Geological Survey, Open-File Report 2002-414, https://doi.org/10.3133/ofr02414. Hildenbrand, T.G., Briesacher, A., Flanagan, G., Hinze, W.J., Hittelman, A.M., Keller, G.R., Kucks, R.P., Plouff, D., Roest, W., Seeley, J., Smith, D.A., and Webring, M., 2002, Rationale and operational plan to upgrade the U.S. Gravity Database: U.S. Geological Survey Open-File Report 02-463, 12p. [https://pubs.er.usgs.gov/publication/ofr0246; data downloaded from the Pan-American Center for Earth and Environmental Studies (PACES) gravity database in October 2007 from URL http://paces.geo.utep.edu/research/gravmag/gravmag.shtml]. Ponce, D.A., 1997, Gravity data of Nevada, U.S. Geological Survey Digital Data Series DDS-42. https://pubs.usgs.gov/dds/dds-42/. Shah, A.K, and Boyd, O.S., 2018, Depth to basement and thickness of unconsolidated sediments for the western United States—Initial estimates for layers of the U.S. Geological Survey National Crustal Model: U.S. Geological Survey Open-File Report 2018–1115, 13 p., https://doi.org/10.3133/ofr20181115.

  11. K

    US General Land Region Point

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Aug 31, 2018
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    noaa.gov (2018). US General Land Region Point [Dataset]. https://koordinates.com/layer/14395-us-general-land-region-point/
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    geopackage / sqlite, mapinfo tab, dwg, mapinfo mif, kml, pdf, geodatabase, shapefile, csvAvailable download formats
    Dataset updated
    Aug 31, 2018
    Dataset provided by
    noaa.gov
    Area covered
    Description

    This layer is sourced from maritimeboundaries.noaa.gov.

    The ENC_General map service displays ENC data within the scale range of 1:600,001 and 1:1,500,000. The ENC data will be updated weekly. This map service is not intended for navigation purpose.

  12. d

    Map Service Showing Geology, Oil and Gas Fields, and Geologic Provinces of...

    • datadiscoverystudio.org
    • search.dataone.org
    • +1more
    html
    Updated May 21, 2018
    + more versions
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    (2018). Map Service Showing Geology, Oil and Gas Fields, and Geologic Provinces of the Caribbean Region. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/61cabb92838c472ca0ef4ff0841e877c/html
    Explore at:
    htmlAvailable download formats
    Dataset updated
    May 21, 2018
    Area covered
    Caribbean
    Description

    description: This map was created as part of a worldwide series of geologic maps for the U.S. Geological Survey's World Energy Project. These products are available on CD-ROM and through the Internet. The goal of the project is to assess the undiscovered, technically recoverable oil and gas resources of the world. Most of the source data for this map compilation were digitized from the Geologic-Tectonic Map of the Caribbean Region by J.E. Case and T.L. Holcombe, at a scale of 1:2,500,000. For data management purposes, the world was divided into eight energy regions based on political boundaries and corresponding approximately to the economic regions of the world as defined by the U.S. Department of State. Region Six encompasses the Caribbean area, Central America, and South America. Other products are also available related to Region Six, including the Geologic Map of South America (USGS Open File Report 97-470-D). Countries listed below are shown whole or in part within the map extent of the Caribbean region: Anguilla Antigua and Barbuda Aruba Bahamas Barbados Belize British Virgin Islands Cayman Islands Colombia Costa Rica Cuba Dominica Dominican Republic El Salvador Grenada Guadeloupe Guatemala Guyana Haiti Honduras Jamaica Martinique Mexico Montserrat Netherlands Antilles Nicaragua Panama Puerto Rico St. Kitts and Nevis St. Lucia St. Vincent and the Grenadines Trinidad and Tobago Turks and Caicos Islands United States Venezuela Virgin Islands The world was previously divided into geologic provinces for the World Energy Project, of which a subset is shown on the map. Each province has a set of geologic characteristics that distinguish it from surrounding provinces. These characteristics may include dominant lithologies, the age of the strata, and/or structural type. Each province is assigned a unique number and may fall within two or more countries or assessment regions. The World Geographic Coordinate System of 1984 was used for data storage and map display. Other details about the map compilation and data sources are provided in several metadata formats in the data section on this CD-ROM. Various software packages were used to create this map including: Environmental Systems Research Institute, Inc. (ESRI) ArcGIS 8.3, ArcInfo software, Adobe Photoshop CS, Illustrator CS, and Acrobat 6.0.; abstract: This map was created as part of a worldwide series of geologic maps for the U.S. Geological Survey's World Energy Project. These products are available on CD-ROM and through the Internet. The goal of the project is to assess the undiscovered, technically recoverable oil and gas resources of the world. Most of the source data for this map compilation were digitized from the Geologic-Tectonic Map of the Caribbean Region by J.E. Case and T.L. Holcombe, at a scale of 1:2,500,000. For data management purposes, the world was divided into eight energy regions based on political boundaries and corresponding approximately to the economic regions of the world as defined by the U.S. Department of State. Region Six encompasses the Caribbean area, Central America, and South America. Other products are also available related to Region Six, including the Geologic Map of South America (USGS Open File Report 97-470-D). Countries listed below are shown whole or in part within the map extent of the Caribbean region: Anguilla Antigua and Barbuda Aruba Bahamas Barbados Belize British Virgin Islands Cayman Islands Colombia Costa Rica Cuba Dominica Dominican Republic El Salvador Grenada Guadeloupe Guatemala Guyana Haiti Honduras Jamaica Martinique Mexico Montserrat Netherlands Antilles Nicaragua Panama Puerto Rico St. Kitts and Nevis St. Lucia St. Vincent and the Grenadines Trinidad and Tobago Turks and Caicos Islands United States Venezuela Virgin Islands The world was previously divided into geologic provinces for the World Energy Project, of which a subset is shown on the map. Each province has a set of geologic characteristics that distinguish it from surrounding provinces. These characteristics may include dominant lithologies, the age of the strata, and/or structural type. Each province is assigned a unique number and may fall within two or more countries or assessment regions. The World Geographic Coordinate System of 1984 was used for data storage and map display. Other details about the map compilation and data sources are provided in several metadata formats in the data section on this CD-ROM. Various software packages were used to create this map including: Environmental Systems Research Institute, Inc. (ESRI) ArcGIS 8.3, ArcInfo software, Adobe Photoshop CS, Illustrator CS, and Acrobat 6.0.

  13. W

    North American Electric Reliability Council (NERC) Regions

    • cloud.csiss.gmu.edu
    • data.wu.ac.at
    Updated Mar 6, 2021
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    United States (2021). North American Electric Reliability Council (NERC) Regions [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/north-american-electric-reliability-council-nerc-regions
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    Dataset updated
    Mar 6, 2021
    Dataset provided by
    United States
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    NERC is an international regulatory authority that works to improve the reliability of the bulk power system in North America. NERC works with many different regional entities to improve the coordination and supply of electricity. This data set of vector layer of polygons represents the boundaries of the regional and subregional entities associated with NERC

  14. W

    BMRS-GLOBAL-World Street Map

    • cloud.csiss.gmu.edu
    Updated Jun 14, 2019
    + more versions
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    Caribbean Marine Atlas (CMA) (2019). BMRS-GLOBAL-World Street Map [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/bmrs-global-world-street-map
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    Dataset updated
    Jun 14, 2019
    Dataset provided by
    Caribbean Marine Atlas (CMA)
    Description

    This worldwide street map presents highway-level data for the world. Street-level data includes the United States; much of Canada; Mexico; Europe; Japan; Australia and New Zealand; India; South America and Central America; Africa; and most of the Middle East. This comprehensive street map includes highways, major roads, minor roads, one-way arrow indicators, railways, water features, administrative boundaries, cities, parks, and landmarks, overlaid on shaded relief imagery for added context. The map also includes building footprints for selected areas. Coverage is provided down to ~1:4k with ~1:1k and ~1:2k data available in select urban areas. The street map was developed by Esri using Esri basemap data, DeLorme basemap layers, U.S. Geological Survey (USGS) elevation data, Intact Forest Landscape (IFL) data for the world; HERE data for Europe, Australia and New Zealand, North America, South America and Central America, Africa, and most of the Middle East; OpenStreetMap contributors for select countries in Africa; MapmyIndia data in India; and select data from the GIS user community. For more information on this map, including the terms of use, visit us online at http://goto.arcgisonline.com/maps/World_Street_Map

  15. K

    Data from: US Airports

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Apr 27, 2009
    + more versions
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    U.S. Bureau of Transportation Statistics (2009). US Airports [Dataset]. https://koordinates.com/layer/748-us-airports/
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    kml, mapinfo mif, mapinfo tab, dwg, geopackage / sqlite, geodatabase, csv, shapefile, pdfAvailable download formats
    Dataset updated
    Apr 27, 2009
    Dataset authored and provided by
    U.S. Bureau of Transportation Statistics
    License

    https://koordinates.com/license/attribution-3-0/https://koordinates.com/license/attribution-3-0/

    Area covered
    United States,
    Description

    The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.

    Purpose The dataset provides users with information about airport locations and attributes and can be used for national and regional analysis applications.

    Source: http://www.bts.gov/programs/geographic_information_services/

  16. d

    USGS map quadrangles

    • search.dataone.org
    • datadiscoverystudio.org
    • +2more
    Updated Oct 29, 2016
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    U.S. Geological Survey (2016). USGS map quadrangles [Dataset]. https://search.dataone.org/view/d1c35ddf-ddbb-465a-9edf-7d0198f9b972
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey
    Area covered
    Variables measured
    X, Y, CELL, CORNER, STATE1, STATE2, STATE3, STATE4, Q100COD, Q24CODE, and 6 more
    Description

    USGS map quandrangle boundaries with names and unique identifiers for the 1:24,000 (7.5 minute) quadrangles. Additional attributes provide unique identifiers and hierarchical relationships between these quadrangles and the enclosing 1:100,000 (30 x 60 minute) and 1:250,000 (1 x 2 degree) quadrangles.

  17. h

    map

    • huggingface.co
    Updated Sep 12, 2024
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    seoung choi (2024). map [Dataset]. https://huggingface.co/datasets/ccchhhoi/map
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 12, 2024
    Authors
    seoung choi
    Description

    ccchhhoi/map dataset hosted on Hugging Face and contributed by the HF Datasets community

  18. Freight Analysis Framework Regions

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 18, 2016
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    US Bureau of Transportation Statistics (BTS) (2016). Freight Analysis Framework Regions [Dataset]. https://koordinates.com/layer/22706-freight-analysis-framework-regions/
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    dwg, mapinfo tab, geopackage / sqlite, shapefile, pdf, kml, geodatabase, csv, mapinfo mifAvailable download formats
    Dataset updated
    Sep 18, 2016
    Dataset provided by
    Bureau of Transportation Statisticshttp://www.rita.dot.gov/bts
    Authors
    US Bureau of Transportation Statistics (BTS)
    Area covered
    Description

    FAF domestic region level datasets and products provide information for states, state portions of large metropolitan areas, and remainders of states. Metropolitan areas consist of Metropolitan Statistical Areas or Consolidated Statistical Areas as defined by the Office of Management and Budget. When a metropolitan area is entirely within a state or when a state's portion of a multi-state metropolitan area is large enough to support the sampling procedures in the Commodity Flow Survey, the area becomes a separate FAF region. Small single-state metropolitan areas and small portions of a multi-state metropolitan area are part of the State or Remainder of State. FAF has two metropolitan areas that are each divided into three FAF regions, four that are each divided into two FAF regions, and several that have small pieces combined with States or Remainders of States.

    © United States Department of Transportation, Federal Highway Administration. For more information, see the site http://www.ops.fhwa.dot.gov/freight/freight_analysis/faf/faf3/userguide/index.htm This layer is sourced from maps.bts.dot.gov.

    The spatial component of the FAF network is derived from National Highway System Version 2009.11 and contains state primary and secondary roads, National Highway System (NHS), National Network (NN) and several intermodal connectors as appropriate for the freight network modeling. The network consists of over 447,808 miles of equivalent road mileage. The data set covers the 48 contiguous States plus the District of Columbia, Alaska, and Hawaii. The nominal scale of the data set is 1:100,000 with a maximal positional error of ±80 meters.

    © ederal Highway Administration Office of Freight Management and Operations and the Battelle Memorial Institute, Columbus, OH

  19. h

    maps

    • huggingface.co
    Updated May 3, 2023
    + more versions
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    Chufan Wu (2023). maps [Dataset]. https://huggingface.co/datasets/JAWCF/maps
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 3, 2023
    Authors
    Chufan Wu
    Description

    JAWCF/maps dataset hosted on Hugging Face and contributed by the HF Datasets community

  20. FMCSA Regions

    • geodata.bts.gov
    • catalog.data.gov
    • +2more
    Updated Jul 1, 2019
    + more versions
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    U.S. Department of Transportation: ArcGIS Online (2019). FMCSA Regions [Dataset]. https://geodata.bts.gov/datasets/fmcsa-regions
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    Dataset updated
    Jul 1, 2019
    Dataset provided by
    https://arcgis.com/
    Authors
    U.S. Department of Transportation: ArcGIS Online
    Area covered
    Description

    The Federal Motor Carrier Safety Administration (FMCSA) Regions dataset is as of October 06, 2022 from the Federal Motor Carrier Safety Administration (FMCSA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset is displayed as polygons depicting the regions covered by the four FMCSA Service Centers. More information on the FMCSA Service Centers, and territories each covers, can be found at: https://www.fmcsa.dot.gov/mission/field-offices

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(2021). Geographic Regions [Dataset]. https://linc.osbm.nc.gov/explore/dataset/north-carolina-geographic-regions/

Geographic Regions

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csv, json, geojson, excelAvailable download formats
Dataset updated
Mar 19, 2021
Description

Provides regional identifiers for county based regions of various types. These can be combined with other datasets for visualization, mapping, analyses, and aggregation. These regions include:Metropolitan Statistical Areas (Current): MSAs as defined by US OMB in 2023Metropolitan Statistical Areas (2010s): MSAs as defined by US OMB in 2013Metropolitan Statistical Areas (2000s): MSAs as defined by US OMB in 2003Region: Three broad regions in North Carolina (Eastern, Western, Central)Council of GovernmentsProsperity Zones: NC Department of Commerce Prosperity ZonesNCDOT Divisions: NC Dept. of Transportation DivisionsNCDOT Districts (within Divisions)Metro Regions: Identifies Triangle, Triad, Charlotte, All Other Metros, & Non-MetropolitanUrban/Rural defined by:NC Rural Center (Urban, Regional/Suburban, Rural) - 2020 Census designations2010 Census (Urban = Counties with 50% or more population living in urban areas in 2010)2010 Census Urbanized (Urban = Counties with 50% or more of the population living in urbanized areas in 2010 (50,000+ sized urban area))Municipal Population - State Demographer (Urban = counties with 50% or more of the population living in a municipality as of July 1, 2019)Isserman Urban-Rural Density Typology

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