100+ datasets found
  1. d

    Data from: Prospect- and Mine-Related Features from U.S. Geological Survey...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Prospect- and Mine-Related Features from U.S. Geological Survey 7.5- and 15-Minute Topographic Quadrangle Maps of the United States (ver. 10.0, May 2023) [Dataset]. https://catalog.data.gov/dataset/prospect-and-mine-related-features-from-u-s-geological-survey-7-5-and-15-minute-topographi
    Explore at:
    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    United States
    Description

    Version 10.0 of these data are part of a larger U.S. Geological Survey (USGS) project to develop an updated geospatial database of mines, mineral deposits, and mineral regions in the United States. Mine and prospect-related symbols, such as those used to represent prospect pits, mines, adits, dumps, tailings, etc., hereafter referred to as “mine” symbols or features, have been digitized from the 7.5-minute (1:24,000, 1:25,000-scale; and 1:10,000, 1:20,000 and 1:30,000-scale in Puerto Rico only) and the 15-minute (1:48,000 and 1:62,500-scale; 1:63,360-scale in Alaska only) archive of the USGS Historical Topographic Map Collection (HTMC), or acquired from available databases (California and Nevada, 1:24,000-scale only). Compilation of these features is the first phase in capturing accurate locations and general information about features related to mineral resource exploration and extraction across the U.S. The compilation of 725,690 point and polygon mine symbols from approximately 106,350 maps across 50 states, the Commonwealth of Puerto Rico (PR) and the District of Columbia (DC) has been completed: Alabama (AL), Alaska (AK), Arizona (AZ), Arkansas (AR), California (CA), Colorado (CO), Connecticut (CT), Delaware (DE), Florida (FL), Georgia (GA), Hawaii (HI), Idaho (ID), Illinois (IL), Indiana (IN), Iowa (IA), Kansas (KS), Kentucky (KY), Louisiana (LA), Maine (ME), Maryland (MD), Massachusetts (MA), Michigan (MI), Minnesota (MN), Mississippi (MS), Missouri (MO), Montana (MT), Nebraska (NE), Nevada (NV), New Hampshire (NH), New Jersey (NJ), New Mexico (NM), New York (NY), North Carolina (NC), North Dakota (ND), Ohio (OH), Oklahoma (OK), Oregon (OR), Pennsylvania (PA), Rhode Island (RI), South Carolina (SC), South Dakota (SD), Tennessee (TN), Texas (TX), Utah (UT), Vermont (VT), Virginia (VA), Washington (WA), West Virginia (WV), Wisconsin (WI), and Wyoming (WY). The process renders not only a more complete picture of exploration and mining in the U.S., but an approximate timeline of when these activities occurred. These data may be used for land use planning, assessing abandoned mine lands and mine-related environmental impacts, assessing the value of mineral resources from Federal, State and private lands, and mapping mineralized areas and systems for input into the land management process. These data are presented as three groups of layers based on the scale of the source maps. No reconciliation between the data groups was done.

  2. Data from: Digital Raster Graphic (DRG) image of U.S. Geological Survey...

    • datasets.ai
    • data.usgs.gov
    • +2more
    55
    Updated Sep 24, 2024
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    Department of the Interior (2024). Digital Raster Graphic (DRG) image of U.S. Geological Survey standard series topographic map of Rincon, Puerto Rico (rincon_drg.tif) [Dataset]. https://datasets.ai/datasets/digital-raster-graphic-drg-image-of-u-s-geological-survey-standard-series-topographic-map-
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    55Available download formats
    Dataset updated
    Sep 24, 2024
    Dataset provided by
    United States Department of the Interiorhttp://www.doi.gov/
    Authors
    Department of the Interior
    Area covered
    Rincón, Puerto Rico
    Description

    The Digital Raster Graphic (DRG) is a raster image of a scanned USGS topographic map including the collar information, georeferenced to the UTM grid. This version of the Digital Raster Graphic (DRG) has been clipped to remove the collar (white border of the map) and has been reprojected to geographic coordinates.

  3. A

    USGS Historical Topographic Map Collection

    • data.amerigeoss.org
    • datadiscoverystudio.org
    • +1more
    atom, csw, download +4
    Updated Jul 27, 2019
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    United States (2019). USGS Historical Topographic Map Collection [Dataset]. https://data.amerigeoss.org/sr_Latn/dataset/640e11ae-cc27-49cb-b06f-bb0df1d47def
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    oai-pmh, atom, wms, download, waf, csw, jsonAvailable download formats
    Dataset updated
    Jul 27, 2019
    Dataset provided by
    United States
    License

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

    Description

    USGS Historical Quadrangle in GeoPDF. The USGS Historical Quadrangle Scanning Project (HQSP) is scanning all scales and all editions of topographic maps published by the U.S. Geological Survey (USGS) since the inception of the topographic mapping program in 1884.

  4. d

    USGS Topo Map Vector Data Downloadable Data Collection

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Mar 11, 2025
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    U.S. Geological Survey (2025). USGS Topo Map Vector Data Downloadable Data Collection [Dataset]. https://catalog.data.gov/dataset/usgs-topo-map-vector-data-downloadable-data-collection
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    Dataset updated
    Mar 11, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.

  5. USGS Historical Topographic Map Explorer

    • data.amerigeoss.org
    • communities-amerigeoss.opendata.arcgis.com
    • +1more
    Updated Oct 10, 2019
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    Esri (2019). USGS Historical Topographic Map Explorer [Dataset]. https://data.amerigeoss.org/dataset/usgs-historical-topographic-map-explorer1
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    html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Oct 10, 2019
    Dataset provided by
    Esrihttp://esri.com/
    Description

    The ArcGIS Online US Geological Survey (USGS) topographic map collection now contains over 177,000 historical quadrangle maps dating from 1882 to 2006. The USGS Historical Topographic Map Explorer app brings these maps to life through an interface that guides users through the steps for exploring the map collection:

    • Find a location of interest.
    • View the maps.
    • Compare the maps.
    • Download and share the maps or open them in ArcGIS Desktop (ArcGIS Pro or ArcMap) where places will appear in their correct geographic location.
    • Save the maps in an ArcGIS Online web map.

    Finding the maps of interest is simple. Users can see a footprint of the map in the map view before they decide to add it to the display, and thumbnails of the maps are shown in pop-ups on the timeline. The timeline also helps users find maps because they can zoom and pan, and maps at select scales can be turned on or off by using the legend boxes to the left of the timeline. Once maps have been added to the display, users can reorder them by dragging them. Users can also download maps as zipped GeoTIFF images. Users can also share the current state of the app through a hyperlink or social media. This ArcWatch article guides you through each of these steps: https://www.esri.com/esri-news/arcwatch/1014/envisioning-the-past.


    Once signed in, users can create a web map with the current map view and any maps they have selected. The web map will open in ArcGIS Online. The title of the web map will be the same as the top map on the side panel of the app. All historical maps that were selected in the app will appear in the Contents section of the web map with the earliest at the top and the latest at the bottom. Turning the historical maps on and off or setting the transparency on the layers allows users to compare the historical maps over time. Also, the web map can be opened in ArcGIS Desktop (ArcGIS Pro or ArcMap) and used for exploration or data capture.

    Users can find out more about the USGS topograhic map collection and the app by clicking on the information button at the upper right. This opens a pop-up with information about the maps and app. The pop-up includes a useful link to a USGS web page that provides access to documents with keys explaining the symbols on historic and current USGS topographic maps. The pop-up also has a link to send Esri questions or comments about the map collection or the app.

    We have shared the updated app on GitHub, so users can download it and configure it to work with their own map collections.

  6. USA Topo Maps

    • data.openlaredo.com
    • noveladata.com
    • +18more
    html
    Updated Apr 11, 2025
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    GIS Portal (2025). USA Topo Maps [Dataset]. https://data.openlaredo.com/dataset/usa-topo-maps
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    htmlAvailable download formats
    Dataset updated
    Apr 11, 2025
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    GIS Portal
    Area covered
    United States
    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, Arizona

    Golden Gate, California

    The Statue of Liberty, New York

    Washington DC

    Canyon De Chelly, Arizona

    Yellowstone National Park, Wyoming

    Area 51, Nevada

  7. A

    USGS Historical Topographic Map Explorer

    • data.amerigeoss.org
    esri rest, html
    Updated Nov 7, 2016
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    AmeriGEO ArcGIS (2016). USGS Historical Topographic Map Explorer [Dataset]. https://data.amerigeoss.org/dataset/showcases/usgs-historical-topographic-map-explorer
    Explore at:
    html, esri restAvailable download formats
    Dataset updated
    Nov 7, 2016
    Dataset provided by
    AmeriGEO ArcGIS
    Description

    The U.S. Geological Survey (USGS) Historical Topographic Map Collection includes all scales and all editions of the more than 175,000 topographic maps published by the USGS since the inception of the topographic mapping program in 1882. This allows anyone to explore the national treasure by:


    1. Find and zoom to an area of interest. Click on the Map.
    2. Using the timeline explore the different maps and scale, Clinking on maps of interest.
    3. Use the Slider to transition between different historic maps.
    4. Download or Share the maps with friends.

    The topographic quadrangle maps produced by the U. S. Geological Survey are considered to be general-purpose maps. Early on the purpose was to define the physical characteristics of the landscape as base maps for geologists by defining streams, water bodies, and mountains, hills and valleys. Using contours and other precise symbolization, these maps were accurately drawn, mathematically correct and carefully edited. The topographic quadrangles gradually evolved to show the changing landscape of a new nation by adding symbolization for important highways, canals, railroads and railway stations, wagon roads, and sites of cities, town and villages. New and revised quadrangles aided geologists map the mineral fields, assisted populated places to develop safe and plentiful water supplies and laying out new highways. Primary considerations of the USGS were the permanence of features, map symbolization and legibility and the overall cost of compiling, editing, printing and distribution of the maps to government agencies, industry, and the general public. Due to the longevity and numerous editions of these maps they now serve new audiences such as historians, genealogists, archeologists and those interested in the historical landscape of the U.S.

  8. u

    USGS Topographic Mine-related Symbols

    • colorado-river-portal.usgs.gov
    Updated Aug 4, 2016
    + more versions
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    U.S. Geological Survey (2016). USGS Topographic Mine-related Symbols [Dataset]. https://colorado-river-portal.usgs.gov/maps/668b96adcb7249fda398171b95d4a90f
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    Dataset updated
    Aug 4, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey
    Area covered
    Description

    Version 10.0 (Alaska, Hawaii and Puerto Rico added) of these data are part of a larger U.S. Geological Survey (USGS) project to develop an updated geospatial database of mines, mineral deposits, and mineral regions in the United States. Mine and prospect-related symbols, such as those used to represent prospect pits, mines, adits, dumps, tailings, etc., hereafter referred to as “mine” symbols or features, have been digitized from the 7.5-minute (1:24,000, 1:25,000-scale; and 1:10,000, 1:20,000 and 1:30,000-scale in Puerto Rico only) and the 15-minute (1:48,000 and 1:62,500-scale; 1:63,360-scale in Alaska only) archive of the USGS Historical Topographic Map Collection (HTMC), or acquired from available databases (California and Nevada, 1:24,000-scale only). Compilation of these features is the first phase in capturing accurate locations and general information about features related to mineral resource exploration and extraction across the U.S. The compilation of 725,690 point and polygon mine symbols from approximately 106,350 maps across 50 states, the Commonwealth of Puerto Rico (PR) and the District of Columbia (DC) has been completed: Alabama (AL), Alaska (AK), Arizona (AZ), Arkansas (AR), California (CA), Colorado (CO), Connecticut (CT), Delaware (DE), Florida (FL), Georgia (GA), Hawaii (HI), Idaho (ID), Illinois (IL), Indiana (IN), Iowa (IA), Kansas (KS), Kentucky (KY), Louisiana (LA), Maine (ME), Maryland (MD), Massachusetts (MA), Michigan (MI), Minnesota (MN), Mississippi (MS), Missouri (MO), Montana (MT), Nebraska (NE), Nevada (NV), New Hampshire (NH), New Jersey (NJ), New Mexico (NM), New York (NY), North Carolina (NC), North Dakota (ND), Ohio (OH), Oklahoma (OK), Oregon (OR), Pennsylvania (PA), Rhode Island (RI), South Carolina (SC), South Dakota (SD), Tennessee (TN), Texas (TX), Utah (UT), Vermont (VT), Virginia (VA), Washington (WA), West Virginia (WV), Wisconsin (WI), and Wyoming (WY). The process renders not only a more complete picture of exploration and mining in the U.S., but an approximate timeline of when these activities occurred. These data may be used for land use planning, assessing abandoned mine lands and mine-related environmental impacts, assessing the value of mineral resources from Federal, State and private lands, and mapping mineralized areas and systems for input into the land management process. These data are presented as three groups of layers based on the scale of the source maps. No reconciliation between the data groups was done.Datasets were developed by the U.S. Geological Survey Geology, Geophysics, and Geochemistry Science Center (GGGSC). Compilation work was completed by USGS National Association of Geoscience Teachers (NAGT) interns: Emma L. Boardman-Larson, Grayce M. Gibbs, William R. Gnesda, Montana E. Hauke, Jacob D. Melendez, Amanda L. Ringer, and Alex J. Schwarz; USGS student contractors: Margaret B. Hammond, Germán Schmeda, Patrick C. Scott, Tyler Reyes, Morgan Mullins, Thomas Carroll, Margaret Brantley, and Logan Barrett; and by USGS personnel Virgil S. Alfred, Damon Bickerstaff, E.G. Boyce, Madelyn E. Eysel, Stuart A. Giles, Autumn L. Helfrich, Alan A. Hurlbert, Cheryl L. Novakovich, Sophia J. Pinter, and Andrew F. Smith.USMIN project website: https://www.usgs.gov/USMIN

  9. d

    Data from: Prospect- and Mine-Related Features from U.S. Geological Survey...

    • search.dataone.org
    Updated Dec 14, 2017
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    Horton, John D.; San Juan, Carma A. (2017). Prospect- and Mine-Related Features from U.S. Geological Survey 7.5- and 15-Minute Topographic Quadrangle Maps of the United States [Dataset]. https://search.dataone.org/view/a9701210-a1d7-41b4-be00-f9843d2b3892
    Explore at:
    Dataset updated
    Dec 14, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Horton, John D.; San Juan, Carma A.
    Time period covered
    Jan 1, 1888 - Jan 1, 2006
    Area covered
    Variables measured
    State, County, GDA_ID, ScanID, Remarks, Ftr_Name, Ftr_Type, Topo_Date, Topo_Name, CompiledBy, and 2 more
    Description

    These data are part of a larger USGS project to develop an updated geospatial database of mines, mineral deposits and mineral regions in the United States. Mine and prospect-related symbols, such as those used to represent prospect pits, mines, adits, dumps, tailings, etc., hereafter referred to as “mine” symbols or features, are currently being digitized on a state-by-state basis from the 7.5-minute (1:24,000-scale) and the 15-minute (1:48,000 and 1:62,500-scale) archive of the USGS Historical Topographic Maps Collection, or acquired from available databases (California and Nevada, 1:24,000-scale only). Compilation of these features is the first phase in capturing accurate locations and general information about features related to mineral resource exploration and extraction across the U.S. To date, the compilation of 500,000-plus point and polygon mine symbols from approximately 67,000 maps of 22 western states has been completed: Arizona (AZ), Arkansas (AR), California (CA), Colorado (CO), Idaho (ID), Iowa (IA), Kansas (KS), Louisiana (LA), Minnesota (MN), Missouri (MO), Montana (MT), North Dakota (ND), Nebraska (NE), New Mexico (NM), Nevada (NV), Oklahoma (OK), Oregon (OR), South Dakota (SD), Texas (TX), Utah (UT), Washington (WA), and Wyoming (WY). The process renders not only a more complete picture of exploration and mining in the western U.S., but an approximate time line of when these activities occurred. The data may be used for land use planning, assessing abandoned mine lands and mine-related environmental impacts, assessing the value of mineral resources from Federal, State and private lands, and mapping mineralized areas and systems for input into the land management process. The data are presented as three groups of layers based on the scale of the source maps. No reconciliation between the data groups was done.

  10. FWS R7 Realty USGS Topo Maps feature layer

    • hub.arcgis.com
    • gis-fws.opendata.arcgis.com
    Updated May 1, 2018
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    FWS R7 Realty USGS Topo Maps feature layer [Dataset]. https://hub.arcgis.com/maps/39df13bfdfdc4d11afcd63be2a5aa622
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    Dataset updated
    May 1, 2018
    Dataset provided by
    U.S. Fish and Wildlife Servicehttp://www.fws.gov/
    Authors
    U.S. Fish & Wildlife Service
    Area covered
    Description

    This map service displays the extents and designated names of the 1:63,360 and 1:250,000 scale USGS topographic maps for the State of Alaska. This feature layer includes online links to the USGS map download site. The Alaska topo maps were produced by USGS in the 1950s and 1960s, with limited newer updates in selected areas, primarily in urban areas such as Anchorage, Fairbanks, and Juneau.All Alaska topo maps, as well as topo maps of the other 49 United States, can be downloaded from the U.S. Geological Survey at https://apps.nationalmap.gov/downloader/#/

  11. d

    Topographic Map image of the San Gorgonio Pass area, Riverside County,...

    • dataone.org
    • data.usgs.gov
    • +2more
    Updated Oct 29, 2016
    + more versions
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    Andrew Y. Morita; Steven K. Predmore (2016). Topographic Map image of the San Gorgonio Pass area, Riverside County, California. [Dataset]. https://dataone.org/datasets/5b534316-c179-43d6-8600-43284bd13e04
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Andrew Y. Morita; Steven K. Predmore
    Area covered
    Description

    This Digital Raster Graphic (DRG) was created using scanned U.S. Geological Survey 7.5-minute 1 to 24,000 scale maps georeferenced in Universal Transverse Mercator (UTM) grid. DRGs can be acquired with or without collar information for use in Geographic Information System (GIS) environment. Collarless DRGs can be edge matched creating a continuous collection of topographic maps.

  12. A

    West Virginia Topographic Maps: Part 1

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    • +1more
    html
    Updated Aug 9, 2019
    + more versions
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    Energy Data Exchange (2019). West Virginia Topographic Maps: Part 1 [Dataset]. https://data.amerigeoss.org/ca/dataset/west-virginia-topographic-maps-part-1
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Aug 9, 2019
    Dataset provided by
    Energy Data Exchange
    Area covered
    West Virginia
    Description

    From the site: “A Digital Raster Graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) topographic map. An unclipped scanned image includes all marginal information, while a clipped or seamless scanned image clips off the collar information. DRGs may be used as a source or background layer in a geographic information system, as a means to perform quality assurance on other digital products, and as a source for the collection and revision of digital line graph data. The DRGs also can be merged with other digital data (e.g., digital elevation model or digital orthophotoquad data), to produce a hybrid digital file.

    The output resolution of a DRG varies from 250 to 500 dots per inch. The horizontal positional accuracy of the DRG matches the accuracy of the published source map. To be consistent with other USGS digital data, the image is cast on the UTM projection, and therefore, will not always be consistent with the credit note on the image collar. Only the area inside the map neatline is georeferenced, so minor distortion of the text may occur in the map collar. Refer to the scanned map collar or online Map List for the currentness of the DRG.”

  13. a

    Idaho Digital Historical Topographic Maps Collection GeoService

    • hub.arcgis.com
    • geocatalog-uidaho.opendata.arcgis.com
    Updated Mar 8, 2018
    + more versions
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    University of Idaho (2018). Idaho Digital Historical Topographic Maps Collection GeoService [Dataset]. https://hub.arcgis.com/datasets/0da5902d7d384ebdb89f4b212f3ec56b
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    Dataset updated
    Mar 8, 2018
    Dataset authored and provided by
    University of Idaho
    Area covered
    Description

    The original Digital Raster Graphic (DRG) is a raster image of a scanned USGS topographic map including the collar information, georeferenced to the UTM grid. This collection includes 24 1:250,000-scale maps, 77 1:100:000-scale maps, and 2296 1:24,000-scale maps. The collar information has been suppressed to enable a seamless statewide image. The collar information may be accessed by downloading an original source image. The date of the scanned map from the original source metadata is included as a footprint attribute. Check the information on the original source images for a possible revision date. Map dates range from 1949-1995.The data in this service is sourced from the U.S. Geological Survey (USGS).

  14. A

    WV Topographic Maps USGS 124000 Scale

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    • +1more
    html
    Updated Aug 9, 2019
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    Energy Data Exchange (2019). WV Topographic Maps USGS 124000 Scale [Dataset]. https://data.amerigeoss.org/lt/dataset/87eaa601-6ea1-48c9-967d-53e1a226ddff
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Aug 9, 2019
    Dataset provided by
    Energy Data Exchange
    Area covered
    West Virginia
    Description

    A Digital Raster Graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) topographic map. An unclipped scanned image includes all marginal information, while a clipped or seamless scanned image clips off the collar information. DRGs may be used as a source or background layer in a geographic information system, as a means to perform quality assurance on other digital products, and as a source for the collection and revision of digital line graph data. The DRGs also can be merged with other digital data (e.g., digital elevation model or digital orthophotoquad data), to produce a hybrid digital file. The output resolution of a DRG varies from 250 to 500 dots per inch. The horizontal positional accuracy of the DRG matches the accuracy of the published source map. To be consistent with other USGS digital data, the image is cast on the UTM projection, and therefore, will not always be consistent with the credit note on the image collar. Only the area inside the map neatline is georeferenced, so minor distortion of the text may occur in the map collar. Refer to the scanned map collar or online Map List for the currentness of the DRG.

  15. U

    USGS US Topo Map Collection

    • data.usgs.gov
    • catalog.data.gov
    + more versions
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    U.S. Geological Survey, USGS US Topo Map Collection [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:6d94af68-1f05-4f9e-9b5a-63f7a05d258b
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    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey
    License

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

    Description

    Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, boundaries, and other selected map features. This map depicts geographic features on the surface of the earth. One intended purpose is to support emergency response at all levels of government. The geospatial data in this map are from selected National Map data holdings and other government sources.

  16. d

    Digital elevation model of the bathymetry of Gillham Lake, Arkansas

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Digital elevation model of the bathymetry of Gillham Lake, Arkansas [Dataset]. https://catalog.data.gov/dataset/digital-elevation-model-of-the-bathymetry-of-gillham-lake-arkansas
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Arkansas, Gillham Lake
    Description

    The dataset is a digital elevation model (DEM), in GeoTiff format, of the bathymetry of Gillham Lake, Sevier County, Arkansas. The extent of the DEM represents the area encompassing the extent of the aerial Light Detection And Ranging (LiDAR) data used in the project. Horizontal and vertical units are expressed in meters. The DEM was derived from an LAS dataset (an industry-standard binary format for storing aerial LiDAR data) created from point datasets stored in “Gillham2018_gdb”. The point datasets include aerial LiDAR data from a survey conducted in 2016 by the National Resources Conservation Service (U.S. Geological Survey, 2017), point data from digitized historical topographic maps, and bathymetric data from a survey conducted in June 2018 by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for single and multi-beam sonar surveys similar to those described by Wilson and Richards (2006) and Richards and Huizinga (2018). In April 2019, it was discovered that some of the areas in shallow and/or tree-ridden areas of the lake that had not been surveyed needed additional data in order to generate a more topographically realistic surface. Additional data were interpolated from a combination of elevation data from pre-impoundment topographic maps and from the point datasets of the bathymetric and LiDAR surveys provided in Esri file geodatabase. The interpolated data was added to the geodatabase, the final products re-created, metadata edited accordingly, and the data release reviewed. In response to the second review, a vertical datum discrepancy between the single beam and multi-beam bathymetric datasets was addressed and select areas of erroneous bathymetric data were edited. First release: October 2018; revised April 2020 (version 1.1). The previous version can be obtained by contacting the USGS Lower Mississippi-Gulf Water Science Center using the "Point of Contact" link on the landing page on ScienceBase. References: Richards, J.M. and Huizinga, R.J., 2018, Bathymetric contour map, surface area and capacity table, and bathymetric difference map for Clearwater Lake near Piedmont, Missouri, 2017: U.S. Geological Survey Scientific Investigations Map 3409: 1 sheet, https://doi.org/10.3133/sim3409; U.S. Geological Survey, 2017, Lidar Point Cloud - USGS National Map 3DEP Downloadable Data Collection: U.S. Geological Survey, https://nationalmap.gov/3DEP; Wilson, G.L., and Richards, J.M., 2006, Procedural Documentation and Accuracy Assessment of Bathymetric Maps and Area/Capacity Tables for Small Reservoirs: U.S. Geological Survey Scientific Investigations Report 2006-5208, https://pubs.usgs.gov/sir/2006/5208/.

  17. a

    USGS Topo Maps (Map Service)

    • hub.arcgis.com
    • mapdirect-fdep.opendata.arcgis.com
    Updated Dec 1, 2009
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    Florida Department of Environmental Protection (2009). USGS Topo Maps (Map Service) [Dataset]. https://hub.arcgis.com/datasets/FDEP::usgs-topo-maps-map-service
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    Dataset updated
    Dec 1, 2009
    Dataset authored and provided by
    Florida Department of Environmental Protection
    Area covered
    Description

    This map presents land cover and detailed topographic maps for the United States. 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. Please reference the metadata for contact information.

  18. A

    Data from: Prospect- and Mine-Related Features from U.S. Geological Survey...

    • data.amerigeoss.org
    • data.wu.ac.at
    file geodatabase, kml +3
    Updated Jul 26, 2019
    + more versions
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    United States[old] (2019). Prospect- and Mine-Related Features from U.S. Geological Survey 7.5- and 15-Minute Topographic Quadrangle Maps of the United States [Dataset]. https://data.amerigeoss.org/dataset/showcases/prospect-and-mine-related-features-from-u-s-geological-survey-7-5-and-15-minute-topographic-qua
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    kml, zip, file geodatabase, wfs, wmsAvailable download formats
    Dataset updated
    Jul 26, 2019
    Dataset provided by
    United States[old]
    Area covered
    United States
    Description

    These data are part of a larger USGS project to develop an updated geospatial database of mines, mineral deposits and mineral regions in the United States. Mine and prospect-related symbols, such as those used to represent prospect pits, mines, adits, dumps, tailings, etc., hereafter referred to as â  mineâ  symbols or features, are currently being digitized on a state-by-state basis from the 7.5-minute (1:24,000-scale) and the 15-minute (1:48,000 and 1:62,500-scale) archive of the USGS Historical Topographic Maps Collection, or acquired from available databases (California and Nevada, 1:24,000-scale only). Compilation of these features is the first phase in capturing accurate locations and general information about features related to mineral resource exploration and extraction across the U.S. To date, the compilation of 500,000-plus point and polygon mine symbols from approximately 67,000 maps of 22 western states has been completed: Arizona (AZ), Arkansas (AR), California (CA), Colorado (CO), Idaho (ID), Iowa (IA), Kansas (KS), Louisiana (LA), Minnesota (MN), Missouri (MO), Montana (MT), North Dakota (ND), Nebraska (NE), New Mexico (NM), Nevada (NV), Oklahoma (OK), Oregon (OR), South Dakota (SD), Texas (TX), Utah (UT), Washington (WA), and Wyoming (WY). The process renders not only a more complete picture of exploration and mining in the western U.S., but an approximate time line of when these activities occurred. The data may be used for land use planning, assessing abandoned mine lands and mine-related environmental impacts, assessing the value of mineral resources from Federal, State and private lands, and mapping mineralized areas and systems for input into the land management process. The data are presented as three groups of layers based on the scale of the source maps. No reconciliation between the data groups was done.

  19. USGS US Topo Acquisition Plan Objectives for FY19 from The National Map

    • datasets.ai
    • cloud.csiss.gmu.edu
    • +3more
    0, 33
    Updated Oct 8, 2024
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    U.S. Geological Survey, Department of the Interior (2024). USGS US Topo Acquisition Plan Objectives for FY19 from The National Map [Dataset]. https://datasets.ai/datasets/usgs-us-topo-acquisition-plan-objectives-for-fy19-from-the-national-map
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    33, 0Available download formats
    Dataset updated
    Oct 8, 2024
    Dataset provided by
    United States Department of the Interiorhttp://www.doi.gov/
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey, Department of the Interior
    Description

    U.S. Geological Survey, Department of the Interior - The annual US Topo acquisition plan is to collect topographic map data in the form of US Topo GeoPDF maps over the United States and its territories on a 3-year revision cycle. The FY19 acquisition plan currently anticipates production of 18,500 (or more) US Topo maps this year. Interested parties who wish to become a data acquisition partner with the USGS in FY19 or in future years should contact a USGS Geospatial Liaison - http://liaisons.usgs.gov/geospatial/documents/TNM_Partnership_User_ContactList.pdf.

  20. d

    Data from: A digital version of the 1970 US Geological Survey topographic...

    • datadiscoverystudio.org
    gz
    Updated May 21, 2018
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    (2018). A digital version of the 1970 US Geological Survey topographic map of the San Francisco Bay region, three sheets, 1:125,000. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/6b23cb352d5146ad85b199b875b8e38b/html
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    gzAvailable download formats
    Dataset updated
    May 21, 2018
    Description

    description: This Open-File report is a digital topographic map database. It contains a digital version of the 1970 U.S. Geological Survey topographic map of the San Francisco Bay Region (3 sheets), at a scale of 1:125,000.; abstract: This Open-File report is a digital topographic map database. It contains a digital version of the 1970 U.S. Geological Survey topographic map of the San Francisco Bay Region (3 sheets), at a scale of 1:125,000.

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Email
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U.S. Geological Survey (2024). Prospect- and Mine-Related Features from U.S. Geological Survey 7.5- and 15-Minute Topographic Quadrangle Maps of the United States (ver. 10.0, May 2023) [Dataset]. https://catalog.data.gov/dataset/prospect-and-mine-related-features-from-u-s-geological-survey-7-5-and-15-minute-topographi

Data from: Prospect- and Mine-Related Features from U.S. Geological Survey 7.5- and 15-Minute Topographic Quadrangle Maps of the United States (ver. 10.0, May 2023)

Related Article
Explore at:
Dataset updated
Jul 6, 2024
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Area covered
United States
Description

Version 10.0 of these data are part of a larger U.S. Geological Survey (USGS) project to develop an updated geospatial database of mines, mineral deposits, and mineral regions in the United States. Mine and prospect-related symbols, such as those used to represent prospect pits, mines, adits, dumps, tailings, etc., hereafter referred to as “mine” symbols or features, have been digitized from the 7.5-minute (1:24,000, 1:25,000-scale; and 1:10,000, 1:20,000 and 1:30,000-scale in Puerto Rico only) and the 15-minute (1:48,000 and 1:62,500-scale; 1:63,360-scale in Alaska only) archive of the USGS Historical Topographic Map Collection (HTMC), or acquired from available databases (California and Nevada, 1:24,000-scale only). Compilation of these features is the first phase in capturing accurate locations and general information about features related to mineral resource exploration and extraction across the U.S. The compilation of 725,690 point and polygon mine symbols from approximately 106,350 maps across 50 states, the Commonwealth of Puerto Rico (PR) and the District of Columbia (DC) has been completed: Alabama (AL), Alaska (AK), Arizona (AZ), Arkansas (AR), California (CA), Colorado (CO), Connecticut (CT), Delaware (DE), Florida (FL), Georgia (GA), Hawaii (HI), Idaho (ID), Illinois (IL), Indiana (IN), Iowa (IA), Kansas (KS), Kentucky (KY), Louisiana (LA), Maine (ME), Maryland (MD), Massachusetts (MA), Michigan (MI), Minnesota (MN), Mississippi (MS), Missouri (MO), Montana (MT), Nebraska (NE), Nevada (NV), New Hampshire (NH), New Jersey (NJ), New Mexico (NM), New York (NY), North Carolina (NC), North Dakota (ND), Ohio (OH), Oklahoma (OK), Oregon (OR), Pennsylvania (PA), Rhode Island (RI), South Carolina (SC), South Dakota (SD), Tennessee (TN), Texas (TX), Utah (UT), Vermont (VT), Virginia (VA), Washington (WA), West Virginia (WV), Wisconsin (WI), and Wyoming (WY). The process renders not only a more complete picture of exploration and mining in the U.S., but an approximate timeline of when these activities occurred. These data may be used for land use planning, assessing abandoned mine lands and mine-related environmental impacts, assessing the value of mineral resources from Federal, State and private lands, and mapping mineralized areas and systems for input into the land management process. These data are presented as three groups of layers based on the scale of the source maps. No reconciliation between the data groups was done.

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