100+ datasets found
  1. K

    US Major Cities

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Aug 30, 2018
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    US Department of Agriculture (USDA) (2018). US Major Cities [Dataset]. https://koordinates.com/layer/11897-us-major-cities/
    Explore at:
    csv, mapinfo tab, geodatabase, pdf, geopackage / sqlite, mapinfo mif, kml, shapefile, dwgAvailable download formats
    Dataset updated
    Aug 30, 2018
    Dataset authored and provided by
    US Department of Agriculture (USDA)
    Area covered
    Description

    This layer is a component of 2007_NAIP_COVERAGE_3.mxd.

  2. w

    Cities and Towns of the United States

    • data.wu.ac.at
    Updated Jul 13, 2017
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    U.S. Geological Survey, Department of the Interior (2017). Cities and Towns of the United States [Dataset]. https://data.wu.ac.at/schema/public_opendatasoft_com/Y2l0aWVzLWFuZC10b3ducy1vZi10aGUtdW5pdGVkLXN0YXRlcw==
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    kml, json, csv, application/vnd.geo+json, xlsAvailable download formats
    Dataset updated
    Jul 13, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    License

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

    Area covered
    United States
    Description

    This dataset contains geographic information concerning cities and towns in the United States, Puerto Rico, and the U.S. Virgin Islands. A city or town is a place with a recorded population, usually with at least one central area that provides commercial activities. Cities are generally larger than towns; no distinction is made between cities and towns in this map layer.

  3. K

    US Places (Population 0K-10K)

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Aug 28, 2018
    + more versions
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    US Bureau of Transportation Statistics (BTS) (2018). US Places (Population 0K-10K) [Dataset]. https://koordinates.com/layer/22830-us-places-population-0k-10k/
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    dwg, geopackage / sqlite, pdf, mapinfo tab, kml, mapinfo mif, shapefile, geodatabase, csvAvailable download formats
    Dataset updated
    Aug 28, 2018
    Dataset authored and provided by
    US Bureau of Transportation Statistics (BTS)
    Area covered
    Description

    This data set includes cities in the United States, Puerto Rico and the U.S. Virgin Islands. These cities were collected from the 1970 National Atlas of the United States. Where applicable, U.S. Census Bureau codes for named populated places were associated with each name to allow additional information to be attached. The Geographic Names Information System (GNIS) was also used as a source for additional information. This is a revised version of the December, 2003, data set.

    This layer is sourced from maps.bts.dot.gov.

  4. o

    Cities

    • geohub.oregon.gov
    • data.oregon.gov
    • +3more
    Updated Feb 1, 2004
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    State of Oregon (2004). Cities [Dataset]. https://geohub.oregon.gov/datasets/9999b1e2af704284a0e1dc8b615fc877
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    Dataset updated
    Feb 1, 2004
    Dataset authored and provided by
    State of Oregon
    Area covered
    Description

    This map layer includes cities and towns in Oregon. These cities were clipped from a larger dataset of cities collected from the 1970 National Atlas of the United States. Where applicable, U.S. Census Bureau codes for named populated places were associated with each name to allow additional information to be attached. The Geographic Names Information System (GNIS) was also used as a source for additional information. This is a revised version of the December 2003 map layer.

  5. d

    500 Cities: City Boundaries

    • catalog.data.gov
    • healthdata.gov
    • +5more
    Updated Feb 3, 2025
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    Centers for Disease Control and Prevention (2025). 500 Cities: City Boundaries [Dataset]. https://catalog.data.gov/dataset/500-cities-city-boundaries
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    Dataset updated
    Feb 3, 2025
    Dataset provided by
    Centers for Disease Control and Prevention
    Description

    This city boundary shapefile was extracted from Esri Data and Maps for ArcGIS 2014 - U.S. Populated Place Areas. This shapefile can be joined to 500 Cities city-level Data (GIS Friendly Format) in a geographic information system (GIS) to make city-level maps.

  6. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
    gz
    Updated Sep 18, 2009
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    U.S. Geological Survey, National Geospatial Technical Operations Center (2009). ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/b39125b8d1de44d896b8890f2261c351/html
    Explore at:
    gzAvailable download formats
    Dataset updated
    Sep 18, 2009
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Description

    Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

  7. 2020 Cartographic Boundary File (SHP), Current Consolidated City for United...

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Dec 14, 2023
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2020 Cartographic Boundary File (SHP), Current Consolidated City for United States, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2020-cartographic-boundary-file-shp-current-consolidated-city-for-united-states-1-500000
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    The 2020 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. A consolidated city is a unit of local government for which the functions of an incorporated place and its county or minor civil division (MCD) have merged. This action results in both the primary incorporated place and the county or MCD continuing to exist as legal entities, even though the county or MCD performs few or no governmental functions and has few or no elected officials. Where this occurs, and where one or more other incorporated places in the county or MCD continue to function as separate governments, even though they have been included in the consolidated government, the primary incorporated place is referred to as a consolidated city. The Census Bureau classifies the separately incorporated places within the consolidated city as place entities and creates a separate place (balance) record for the portion of the consolidated city not within any other place. The generalized boundaries of the consolidated cities in this file are based on those as of January 1, 2020, as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

  8. K

    US Cities with Population < 500,000

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Aug 28, 2018
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    US Bureau of Transportation Statistics (BTS) (2018). US Cities with Population < 500,000 [Dataset]. https://koordinates.com/layer/22758-us-cities-with-population-500000/
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    geodatabase, mapinfo tab, dwg, geopackage / sqlite, csv, kml, shapefile, mapinfo mif, pdfAvailable download formats
    Dataset updated
    Aug 28, 2018
    Dataset authored and provided by
    US Bureau of Transportation Statistics (BTS)
    Area covered
    Description

    This layer is a component of Transborder.

  9. USA Urban Areas

    • atlas.eia.gov
    • data.lojic.org
    • +4more
    Updated Apr 22, 2014
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    Esri (2014). USA Urban Areas [Dataset]. https://atlas.eia.gov/maps/432bb9246fdd467c88136e6ffeac2762
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    Dataset updated
    Apr 22, 2014
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Important Note: This item is in mature support as of June 2023 and will retire in December 2025. A new version of this item is available for your use.The layers going from 1:1 to 1:1.5M present the 2010 Census Urbanized Areas (UA) and Urban Clusters (UC). A UA consists of contiguous, densely settled census block groups (BGs) and census blocks that meet minimum population density requirements (1000 people per square mile (ppsm) / 500 ppsm), along with adjacent densely settled census blocks that together encompass a population of at least 50,000 people. A UC consists of contiguous, densely settled census BGs and census blocks that meet minimum population density requirements, along with adjacent densely settled census blocks that together encompass a population of at least 2,500 people, but fewer than 50,000 people. The dataset covers the 50 States plus the District of Columbia within United States. The layer going over 1:1.5M presents the urban areas in the United States derived from the urban areas layer of the Digital Chart of the World (DCW). It provides information about the locations, names, and populations of urbanized areas for conducting geographic analysis on national and large regional scales. To download the data for this layer as a layer package for use in ArcGIS desktop applications, refer to USA Census Urban Areas.

  10. a

    Populated Places

    • data-usdot.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Mar 4, 2022
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    U.S. Department of Transportation: ArcGIS Online (2022). Populated Places [Dataset]. https://data-usdot.opendata.arcgis.com/datasets/populated-places/explore?showTable=true
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    Dataset updated
    Mar 4, 2022
    Dataset authored and provided by
    U.S. Department of Transportation: ArcGIS Online
    Area covered
    Description

    The Populated Places dataset was published on March 01, 2014 from the National Atlas of the United States - U.S. Geological Survey and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This map layer includes cities and towns in the United States, Puerto Rico, and the U.S. Virgin Islands. A city or town is a place with a recorded population, usually with at least one central area that provides commercial activities. Cities are generally larger than towns; no distinction is made between cities and towns in this map layer. Census 2010 information was used for population counts of the cities and towns.

  11. K

    Populated Places

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Jun 21, 2013
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    US Bureau of Transportation Statistics (BTS) (2013). Populated Places [Dataset]. https://koordinates.com/layer/22737-populated-places/
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    geodatabase, geopackage / sqlite, csv, dwg, kml, mapinfo tab, mapinfo mif, shapefile, pdfAvailable download formats
    Dataset updated
    Jun 21, 2013
    Dataset authored and provided by
    US Bureau of Transportation Statistics (BTS)
    Area covered
    Description

    This map layer includes cities and towns in the United States, Puerto Rico, and the U.S. Virgin Islands. A city or town is a place with a recorded population, usually with at least one central area that provides commercial activities. Cities are generally larger than towns; no distinction is made between cities and towns in this map layer.

    This layer is a component of Populated Places.

    This map layer includes cities and towns in the United States, Puerto Rico, and the U.S. Virgin Islands (NTAD 2015). A city or town is a place with a recorded population, usually with at least one central area that provides commercial activities. Cities are generally larger than towns; no distinction is made between cities and towns in this map layer.

    © The National Atlas

  12. USA Topo Maps

    • city-of-rock-island-gis-rigov.hub.arcgis.com
    • data.openlaredo.com
    • +17more
    Updated Feb 10, 2012
    + more versions
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    Esri (2012). USA Topo Maps [Dataset]. https://city-of-rock-island-gis-rigov.hub.arcgis.com/datasets/esri::usa-topo-maps-1
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    Dataset updated
    Feb 10, 2012
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Important Note: This item is in mature support as of June 2021 and is no longer updated. This map presents land cover and detailed topographic maps for the United States. It uses the USA Topographic Map service. The map includes the National Park Service (NPS) Natural Earth physical map at 1.24km per pixel for the world at small scales, i-cubed eTOPO 1:250,000-scale maps for the contiguous United States at medium scales, and National Geographic TOPO! 1:100,000 and 1:24,000-scale maps (1:250,000 and 1:63,000 in Alaska) for the United States at large scales. The TOPO! maps are seamless, scanned images of United States Geological Survey (USGS) paper topographic maps.The maps provide a very useful basemap for a variety of applications, particularly in rural areas where the topographic maps provide unique detail and features from other basemaps.To add this map service into a desktop application directly, go to the entry for the USA Topo Maps map service. Tip: Here are some famous locations as they appear in this web map, accessed by including their location in the URL that launches the map:Grand Canyon, ArizonaGolden Gate, CaliforniaThe Statue of Liberty, New YorkWashington DCCanyon De Chelly, ArizonaYellowstone National Park, WyomingArea 51, Nevada

  13. d

    USGS National Structures Dataset - USGS National Map Downloadable Data...

    • catalog.data.gov
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). USGS National Structures Dataset - USGS National Map Downloadable Data Collection [Dataset]. https://catalog.data.gov/dataset/usgs-national-structures-dataset-usgs-national-map-downloadable-data-collection
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    USGS Structures from The National Map (TNM) consists of data to include the name, function, location, and other core information and characteristics of selected manmade facilities across all US states and territories. The types of structures collected are largely determined by the needs of disaster planning and emergency response, and homeland security organizations. Structures currently included are: School, School:Elementary, School:Middle, School:High, College/University, Technical/Trade School, Ambulance Service, Fire Station/EMS Station, Law Enforcement, Prison/Correctional Facility, Post Office, Hospital/Medical Center, Cabin, Campground, Cemetery, Historic Site/Point of Interest, Picnic Area, Trailhead, Vistor/Information Center, US Capitol, State Capitol, US Supreme Court, State Supreme Court, Court House, Headquarters, Ranger Station, White House, and City/Town Hall. Structures data are designed to be used in general mapping and in the analysis of structure related activities using geographic information system technology. Included is a feature class of preliminary building polygons provided by FEMA, USA Structures. The National Map structures data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and transportation, to produce general reference base maps. The National Map viewer allows free downloads of public domain structures data in either Esri File Geodatabase or Shapefile formats. For additional information on the structures data model, go to https://www.usgs.gov/ngp-standards-and-specifications/national-map-structures-content.

  14. d

    Data - Removing roads from the National Land Cover Database to create...

    • search.dataone.org
    • data.wu.ac.at
    Updated Nov 23, 2017
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    Christopher E. Soulard; William Acevedo (2017). Data - Removing roads from the National Land Cover Database to create improved urban maps for the United States, 1992-2011 [Dataset]. https://search.dataone.org/view/cb3b7a3a-2806-4885-9dcb-ca79b99108cf
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    Dataset updated
    Nov 23, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Christopher E. Soulard; William Acevedo
    Area covered
    Variables measured
    Red, Blue, Count, Green, Value
    Description

    To better map the urban class and understand how urban lands change over time, we removed rural roads and small patches of rural development from the NLCD developed class and created four wall-to-wall maps (1992, 2001, 2006, and 2011) of urban land. Removing rural roads from the NLCD developed class involved a multi-step filtering process, data fusion using geospatial road and developed land data, and manual editing. Reference data classified as urban or not urban from a stratified random sample was used to assess the accuracy of the 2001 and 2006 urban and NLCD maps. The newly created urban maps had higher overall accuracy (98.7%) than the NLCD maps (96.2%). More importantly, the urban maps resulted in lower commission error of the urban class (23% versus 57% for the NLCD in 2006) with the trade-off of slightly inflated omission error (20% for the urban map, 16% for NLCD in 2006). The removal of approximately 230,000 km2 of rural roads from the NLCD developed class resulted in maps that better characterize the urban footprint. These urban maps are more suited to modeling applications and policy decisions that rely on quantitative and spatially explicit information regarding urban lands. Digital maps of urban land in the United States for 1992, 2001, 2006, and 2011 are available (at a 30-m pixel resolution) as four compressed 2-bit IMG files. The map year is reflected in the file name.

  15. S

    3D Maps

    • sead-published.ncsa.illinois.edu
    Updated Aug 9, 2016
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    Campbell, Karen (https://www.linkedin.com/in/karen-campbell-1336965); Morin, Paul (2016). 3D Maps [Dataset]. http://doi.org/10.5967/M0NP22DR
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    Dataset updated
    Aug 9, 2016
    Dataset provided by
    http://www.nationaldataservice.org/
    Authors
    Campbell, Karen (https://www.linkedin.com/in/karen-campbell-1336965); Morin, Paul
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    NCED is currently involved in researching the effectiveness of anaglyph maps in the classroom and are working with educators and scientists to interpret various Earth-surface processes. Based on the findings of the research, various activities and interpretive information will be developed and available for educators to use in their classrooms. Keep checking back with this website because activities and maps are always being updated. We believe that anaglyph maps are an important tool in helping students see the world and are working to further develop materials and activities to support educators in their use of the maps.

    This website has various 3-D maps and supporting materials that are available for download. Maps can be printed, viewed on computer monitors, or projected on to screens for larger audiences. Keep an eye on our website for more maps, activities and new information. Let us know how you use anaglyph maps in your classroom. Email any ideas or activities you have to ncedmaps@umn.edu

    Anaglyph paper maps are a cost effective offshoot of the GeoWall Project. Geowall is a high end visualization tool developed for use in the University of Minnesota's Geology and Geophysics Department. Because of its effectiveness it has been expanded to 300 institutions across the United States. GeoWall projects 3-D images and allows students to see 3-D representations but is limited because of the technology. Paper maps are a cost effective solution that allows anaglyph technology to be used in classroom and field-based applications.

    Maps are best when viewed with RED/CYAN anaglyph glasses!

    A note on downloading: "viewable" maps are .jpg files; "high-quality downloads" are .tif files. While it is possible to view the latter in a web-browser in most cases, the download may be slow. As an alternative, try right-clicking on the link to the high-quality download and choosing "save" from the pop-up menu that results. Save the file to your own machine, then try opening the saved copy. This may be faster than clicking directly on the link to open it in the browser.

    World Map: 3-D map that highlights oceanic bathymetry and plate boundaries.

    Continental United States: 3-D grayscale map of the Lower 48.

    Western United States: 3-D grayscale map of the Western United States with state boundaries.

    Regional Map: 3-D greyscale map stretching from Hudson Bay to the Central Great Plains. This map includes the Western Great Lakes and the Canadian Shield.

    Minnesota Map: 3-D greyscale map of Minnesota with county and state boundaries.

    Twin Cities: 3-D map extending beyond Minneapolis and St. Paul.

    Twin Cities Confluence Map: 3-D map highlighting the confluence of the Mississippi and Minnesota Rivers. This map includes most of Minneapolis and St. Paul.

    Minneapolis, MN: 3-D topographical map of South Minneapolis.

    Bassets Creek, Minneapolis: 3-D topographical map of the Bassets Creek watershed.

    North Minneapolis: 3-D topographical map highlighting North Minneapolis and the Mississippi River.

    St. Paul, MN: 3-D topographical map of St. Paul.

    Western Suburbs, Twin Cities: 3-D topographical map of St. Louis Park, Hopkins and Minnetonka area.

    Minnesota River Valley Suburbs, Twin Cities: 3-D topographical map of Bloomington, Eden Prairie and Edina area.

    Southern Suburbs, Twin Cities: 3-D topographical map of Burnsville, Lakeville and Prior Lake area.

    Southeast Suburbs, Twin Cities: 3-D topographical map of South St. Paul, Mendota Heights, Apple Valley and Eagan area.

    Northeast Suburbs, Twin Cities: 3-D topographical map of White Bear Lake, Maplewood and Roseville area.

    Northwest Suburbs, Mississippi River, Twin Cities: 3-D topographical map of North Minneapolis, Brooklyn Center and Maple Grove area.

    Blaine, MN: 3-D map of Blaine and the Mississippi River.

    White Bear Lake, MN: 3-D topographical map of White Bear Lake and the surrounding area.

    Maple Grove, MN: 3-D topographical map of the NW suburbs of the Twin Cities.

    Minnesota River: 3-D topographical map of the Minnesota River Valley highlighting the river bend in Mankato.

    St. Croix River: 3-D topographical map of the St. Croix extending from Taylors Falls to the Mississippi confluence.

    Mississippi River, Lake Pepin: 3-D topographical map of the confluence of Chippewa Creek and the Mississippi River.

    Red Wing, MN: 3-D topographical map of Redwing, MN on the Mississippi River.

    Winona, Minnesota: 3-D topographical map of Winona, MN highlighting the Mississippi River.

    Cannon Falls, MN: 3-D topographical map of Cannon Falls area.

    Rochester, MN: 3-D topographical map of Rochester and the surrounding area.

    Northfield, MN: 3-D topographical map of Northfield and the surrounding area.

    St. Louis River, MN: 3-D map of the St. Louis River and Duluth, Minnesota.

    Lake Itasca, MN: 3-D map of the source of the Mississippi River.

    Elmore, MN: 3-D topographical map of Elmore, MN in south-central Minnesota.

    Glencoe, MN: 3-D topographical map of Glencoe, MN.

    New Prague, MN: 3-D topographical map of the New Prague in south-central Minnesota.

    Plainview, MN: 3-D topographical map of Plainview, MN.

    Waterville-Morristown: 3-D map of the Waterville-Morris area in south-central Minnesota.

    Eau Claire, WI: 3-D map of Eau Claire highlighting abandon river channels.

    Dubuque, IA: 3-D topographical map of Dubuque and the Mississippi River.

    Londonderry, NH: 3-D topographical map of Londonderry, NH.

    Santa Cruz, CA: 3-D topographical map of Santa Cruz, California.

    Crater Lake, OR: 3-D topographical map of Crater Lake, Oregon.

    Mt. Rainier, WA: 3-D topographical map of Mt. Rainier in Washington.

    Grand Canyon, AZ: 3-D topographical map of the Grand Canyon.

    District of Columbia: 3-D map highlighting the confluence of the rivers and the Mall.

    Ireland: 3-D grayscale map of Ireland.

    New Jersey: 3-D grayscale map of New Jersey.

    SP Crater, AZ: 3-D map of random craters in the San Francisco Mountains.

    Mars Water Features: 3-D grayscale map showing surface water features from Mars.

  16. o

    Places - United States of America

    • public.opendatasoft.com
    • data.smartidf.services
    • +1more
    csv, excel, geojson +1
    Updated Jun 6, 2024
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    (2024). Places - United States of America [Dataset]. https://public.opendatasoft.com/explore/dataset/georef-united-states-of-america-place/
    Explore at:
    geojson, csv, json, excelAvailable download formats
    Dataset updated
    Jun 6, 2024
    License

    https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

    Area covered
    United States
    Description

    This dataset is part of the Geographical repository maintained by Opendatasoft. This dataset contains data for places and equivalent entities in United States of America.This layer both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. Processors and tools are using this data. Enhancements Add ISO 3166-3 codes. Simplify geometries to provide better performance across the services. Add administrative hierarchy.

  17. U

    Geospatial data for bedrock elevation and overburden thickness maps of the...

    • data.usgs.gov
    Updated May 25, 2023
    + more versions
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    Laura Demott; Frederick Stumm; Michael Como; Jason Finkelstein (2023). Geospatial data for bedrock elevation and overburden thickness maps of the Five Boroughs, New York City, New York [Dataset]. http://doi.org/10.5066/P911CSI3
    Explore at:
    Dataset updated
    May 25, 2023
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Laura Demott; Frederick Stumm; Michael Como; Jason Finkelstein
    License

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

    Time period covered
    1905 - 2021
    Area covered
    New York
    Description

    Using a combination of public and proprietary historical construction test borings, recent exploration drilling, USGS observation wells, outcrops, and seismic measurements, a series of geospatial overlays for bedrock elevation and overburden thickness were created for the Five Boroughs of New York City, New York. Rasters were interpolated from a point elevation data set and refined using published and interpretive bedrock contours, and interpreted glacial valleys and faults. Contours for bedrock elevation were generated at 100-ft contour intervals and smoothed. This data release includes shapefiles containing the input point elevation features and output contours, and rasters of interpolated bedrock elevation and overburden thickness surfaces.

  18. d

    Cities of Oregon, USA

    • datadiscoverystudio.org
    Updated Jun 27, 2018
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    (2018). Cities of Oregon, USA [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/c4fb12092b7e4dd38ec150714fa757ef/html
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    Dataset updated
    Jun 27, 2018
    Area covered
    Description

    The DLG data files derived from the 1:2,000,000-scale maps contain selected base categories of cartographic data in digital form. The data files are derived from the sectional maps of the 1970 National Atlas of the United States of America. The Boundaries category includes boundary information collected in two separate subcategories: (1) Political Boundaries and (2) Administrative Boundaries. The Hydrography data includes data in three separate subcategories: (1) Streams, (2) Water Bodies, and (3) Hypsography (Continental Divide only). The Transportation category of data includes major transportation systems collected in three separate subcategories: (1) Roads and Trails, (2) Railroads, and (3) Cultural Features (airports and Alaska pipeline).

  19. o

    Counties - United States of America

    • public.opendatasoft.com
    • bfortune.opendatasoft.com
    csv, excel, geojson +1
    Updated Jun 6, 2024
    + more versions
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    (2024). Counties - United States of America [Dataset]. https://public.opendatasoft.com/explore/dataset/georef-united-states-of-america-county/
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    excel, json, geojson, csvAvailable download formats
    Dataset updated
    Jun 6, 2024
    License

    https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

    Area covered
    United States
    Description

    This dataset is part of the Geographical repository maintained by Opendatasoft. This dataset contains data for counties and equivalent entities in United States of America. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities.Processors and tools are using this data. Enhancements Add ISO 3166-3 codes. Simplify geometries to provide better performance across the services. Add administrative hierarchy.

  20. A

    NMDOT Lands Map, Silver City Quadrangle, Quad 98

    • data.amerigeoss.org
    • gstore.unm.edu
    • +2more
    html, pdf, xml
    Updated Jul 25, 2019
    + more versions
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    United States (2019). NMDOT Lands Map, Silver City Quadrangle, Quad 98 [Dataset]. https://data.amerigeoss.org/nl/dataset/nmdot-lands-map-silver-city-quadrangle-quad-98
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    pdf, xml, htmlAvailable download formats
    Dataset updated
    Jul 25, 2019
    Dataset provided by
    United States
    Description

    The Lands pdf represent the location and project number of NMDOT Construction projects.

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US Department of Agriculture (USDA) (2018). US Major Cities [Dataset]. https://koordinates.com/layer/11897-us-major-cities/

US Major Cities

Explore at:
csv, mapinfo tab, geodatabase, pdf, geopackage / sqlite, mapinfo mif, kml, shapefile, dwgAvailable download formats
Dataset updated
Aug 30, 2018
Dataset authored and provided by
US Department of Agriculture (USDA)
Area covered
Description

This layer is a component of 2007_NAIP_COVERAGE_3.mxd.

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