100+ datasets found
  1. Wisconsin DEM and Hillshade from LiDAR - Web Map

    • hub.arcgis.com
    • data-wi-dnr.opendata.arcgis.com
    • +1more
    Updated Jan 17, 2019
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    Wisconsin Department of Natural Resources (2019). Wisconsin DEM and Hillshade from LiDAR - Web Map [Dataset]. https://hub.arcgis.com/maps/f2e49a42f5e14dd5845536408279da9d
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    Dataset updated
    Jan 17, 2019
    Dataset authored and provided by
    Wisconsin Department of Natural Resourceshttp://dnr.wi.gov/
    Area covered
    Description

    Web map displaying Wisconsin DNR-produced Digital Elevation Model (DEM) and Hillshade image services, along with their index layer, in formats that are clickable and can be symbolized and filtered. This map can also be used as a starting point to create a new map. To open the web map from DNR's GIS Open Data Portal, click the View Metadata: link to the right of the description, then click Open in Map Viewer.

  2. d

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

    • catalog.data.gov
    • data.usgs.gov
    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
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    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.

  3. a

    USGS Quad Index - 24K

    • hub.arcgis.com
    • data-wi-dnr.opendata.arcgis.com
    Updated Jan 2, 1990
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    Wisconsin Department of Natural Resources (1990). USGS Quad Index - 24K [Dataset]. https://hub.arcgis.com/maps/wi-dnr::usgs-quad-index-24k
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    Dataset updated
    Jan 2, 1990
    Dataset authored and provided by
    Wisconsin Department of Natural Resources
    Area covered
    Description

    This polygon layer provides an index grid based on latitude and longitude intervals corresponding to the USGS topographic quadrangle series at 1:24,000 scale. The latitude/longitude interval corresponding to this quadrangle index is 7.5 minutes latitude by 7.5 minutes longitude.

  4. d

    Historic Lake Superior shorelines near Odanah, Wisconsin (1852 - 2013)

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Historic Lake Superior shorelines near Odanah, Wisconsin (1852 - 2013) [Dataset]. https://catalog.data.gov/dataset/historic-lake-superior-shorelines-near-odanah-wisconsin-1852-2013
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Wisconsin, New Odanah, Lake Superior
    Description

    This USGS data release presents historic shorelines of Lake Superior near Odanah, Wisconsin encompassing the delta complex of the Bad River from 1852 to 2013 compiled in a Geographic Information System. The coverage of the shorelines starts approximately 8 km northeast of Ashland and extends for about 40 km to approximately 3 km east of the Bad River mouth. The shorelines were derived from land survey maps, topographic maps (USGS), and aerial photographs. The data set includes 10 shorelines for the years 1852, 1934, 1939, 1953, 1963, 1979, 1986, 1992, 1999, and 2013.

  5. 2015 USGS Lidar: Iron County, WI

    • fisheries.noaa.gov
    las/laz - laser
    Updated May 1, 2015
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    OCM Partners (2015). 2015 USGS Lidar: Iron County, WI [Dataset]. https://www.fisheries.noaa.gov/inport/item/58881
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    las/laz - laserAvailable download formats
    Dataset updated
    May 1, 2015
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    Apr 15, 2015 - Apr 17, 2015
    Area covered
    Description

    Ayres Associates provided Iron County, Wisconsin, with lidar based topographic mapping services in the spring of 2015 as part of WROC. The LiDAR data was collected on 2015/04/15 to 2015/04/17 using an Optech Orion H300 sensor mounted in a fixed-wing aircraft. LiDAR data was collected to support the generation of 2-foot contours to meet FEMA vertical accuracy standards. The LiDAR data was delive...

  6. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
    Updated Jan 16, 2017
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    U.S. Geological Survey, National Geospatial Technical Operations Center (2017). ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/de45145802bc47f98b899e222b7cc345/html
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    Dataset updated
    Jan 16, 2017
    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. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
    Updated Jan 16, 2017
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    U.S. Geological Survey, National Geospatial Technical Operations Center (2017). ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/edc8202d42c24ddb9655b9475b426da3/html
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    Dataset updated
    Jan 16, 2017
    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

  8. s

    USGS US Topo 7.5-minute map for Hilbert, WI 2010

    • cinergi.sdsc.edu
    geopdf
    Updated Jul 29, 2010
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    U.S. Geological Survey (2010). USGS US Topo 7.5-minute map for Hilbert, WI 2010 [Dataset]. http://cinergi.sdsc.edu/geoportal/rest/metadata/item/c7fb8cf0f7fc4a938421bc8fd2cdd893/html
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    geopdf(10.387882)Available download formats
    Dataset updated
    Jul 29, 2010
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Description

    Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

  9. c

    Boundaries

    • cacgeoportal.com
    • hub.arcgis.com
    Updated Dec 7, 2021
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    Living Atlas – Landscape Content (2021). Boundaries [Dataset]. https://www.cacgeoportal.com/datasets/LandscapeTeam::boundaries-2
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    Dataset updated
    Dec 7, 2021
    Dataset authored and provided by
    Living Atlas – Landscape Content
    Area covered
    Description

    Named Landforms of the World (NLW) contains four sub-layers representing geomorphological landforms, provinces, divisions, and their respective cartographic boundaries. The latter is to support map making, while the first three represent basic units such landforms comprise provinces, and provinces comprise divisions. NLW is a substantial update to World Named Landforms in both compilation method and the attributes that describe each landform.For more details, please refer to our paper, Named Landforms of the World: A Geomorphological and Physiographic Compilation, in Annals of the American Assocation of Geographers.Landforms are commonly defined as natural features on the surface of the Earth. The National Geographic Society specifies terrain as the basis for landforms and lists four major types: mountains, hills, plateaus, and plains. Here, however, we define landforms in a richer way that includes properties relating to underlying geologic structure, erosional and depositional character, and tectonic setting and processes. These characteristics were asserted by Dr. Richard E. Murphy in 1968 in his map, titled Landforms of the World. We blended Murphy's definition for landforms with the work E.M. Bridges, who in his 1990 book, World Geomorphology, provided a globally consistent description of geomorphological divisions, provinces, and sections to give names to the landform regions of the world. AttributeDescription Bridges Full NameFull name from E.M. Bridges' 1990 "World Geomorphology" Division and if present province and section - intended for labeling print maps of small extents. Bridges DivisionGeomorphological Division as described in E.M. Bridges' 1990 "World Geomorphology" - All Landforms have a division assigned, i.e., no nulls. Bridges ProvinceGeomorphological Province as described in E.M. Bridges' 1990 "World Geomorphology" - Not all divisions are subdivided into provinces. Bridges SectionGeomorphological Section as described in E.M. Bridges' 1990 "World Geomorphology" - Not all provinces are subdivided into sections. StructureLandform Structure as described in Richard E. Murphy's 1968 "Landforms of the World" map. Coded Value Domain. Values include: - Alpine Systems: Area of mountains formed by orogenic (collisions of tectonic plates) processes in the past 350 to 500 million years. - Caledonian/Hercynian Shield Remnants: Area of mountains formed by orogenic (collisions of tectonic plates) processes 350 to 500 million years ago. - Gondwana or Laurasian Shields: Area underlaid by mostly crystalline rock formations fromed one billion or more years ago and unbroken by tectonic processes. - Rifted Shield Areas: fractures or spreading along or adjacent to tectonic plate edges. - Isolated Volcanic Areas: volcanic activity occurring outside of Alpine Systems and Rifted Shields. - Sedimentary: Areas of deposition occurring within the past 2.5 million years Moist or DryLandform Erosional/Depositional variable as described in Richard E. Murphy's 1968 "Landforms of the World" map. Coded Value Domain. Values include: - Moist: where annual aridity index is 1.0 or higher, which implies precipitation is absorbed or lost via runoff. - Dry: where annual aridity index is less than 1.0, which implies more precipitation evaporates before it can be absorbed or lost via runoff. TopographicLandform Topographic type variable as described in Richard E. Murphy's 1968 "Landforms of the World" map. Karagulle et. al. 2017 - based on rich morphometric characteristics. Coded Value Domain. Values include: - Plains: Areas with less than 90-meters of relief and slopes under 20%. - Hills: Areas with 90- to 300-meters of local relief. - Mountains: Areas with over 300-meters of relief - High Tablelands: Areas with over 300-meters of relief and 50% of highest elevation areas are of gentle slope. - Depressions or Basins: Areas of land surrounded land of higher elevation. Glaciation TypeLandform Erosional/Depositional variable as described in Richard E. Murphy's 1968 "Landforms of the World" map. Values include: - Wisconsin/Wurm Glacial Extent: Areas of most recent glaciation which formed 115,000 years ago and ended 11,000 years ago. - Pre-Wisconsin/Wurm Glacial Extent: Areas subjected only to glaciation prior to 140,000 years ago. ContinentAssigned by Author during data compilation. Bridges Short NameThe name of the smallest of Division, Province, or Section containing this landform feature. Murphy Landform CodeCombination of Richard E. Murphy's 1968 "Landforms of the World" variables expressed as a 3- or 4- letter notation. Used to label medium scale maps. Area_GeoGeodesic area in km2. Primary PlateName of tectonic plate that either completely underlays this landform feature or underlays the largest portion of the landform's area. Secondary PlateWhen a landform is underlaid by two or more tectonic plates, this is the plate that underlays the second largest area. 3rd PlateWhen a landform is underlaid by three or more tectonic plates, this is the plate that underlays the third largest area. 4th PlateWhen a landform is underlaid by four or more tectonic plates, this is the plate that underlays the fourth largest area. 5th PlateWhen a landform is underlaid by five tectonic plates, this is the plate that underlays the fifth largest area. NotesContains standard text to convey additional tectonic process characteristics. Tectonic ProcessAssigns values of orogenic, rift zone, or above subducting plate.

    These data are also available as an ArcGIS Pro Map Package: Named_Landforms_of_the_World_v2.0.mpkx.These data supersede the earlier v1.0: World Named Landforms.Change Log:

    DateDescription of Change July 20, 2022Corrected spelling of Guiana from incorrect representation, "Guyana", used by Bridges. July 27, 2022Corrected Structure coded value domain value, changing "Caledonian/Hercynian Shield" to "Caledonian , Hercynian, or Appalachian Remnants".

    Cite as:Frye, C., Sayre R., Pippi, M., Karagulle, Murphy, A., D. Soller, D.R., Gilbert, M., and Richards, J., 2022. Named Landforms of the World. DOI: 10.13140/RG.2.2.33178.93129. Accessed on:

  10. s

    USGS US Topo 7.5-minute map for Rush Lake, WI 2013

    • cinergi.sdsc.edu
    geopdf
    Updated Jun 21, 2013
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    U.S. Geological Survey (2013). USGS US Topo 7.5-minute map for Rush Lake, WI 2013 [Dataset]. http://cinergi.sdsc.edu/geoportal/rest/metadata/item/d5740ed4f0264ebeb7be615a6f9ce166/html
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    geopdf(21.180812)Available download formats
    Dataset updated
    Jun 21, 2013
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Description

    Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

  11. s

    USGS US Topo 7.5-minute map for Cataract, WI 2010

    • cinergi.sdsc.edu
    geopdf
    Updated Jul 15, 2010
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    U.S. Geological Survey (2010). USGS US Topo 7.5-minute map for Cataract, WI 2010 [Dataset]. http://cinergi.sdsc.edu/geoportal/rest/metadata/item/06a0c32b05354527ad49858183b60810/html
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    geopdf(20.909685)Available download formats
    Dataset updated
    Jul 15, 2010
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Description

    Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

  12. d

    UMRR Pool 11 Bathymetry Footprint

    • search.dataone.org
    Updated Jun 1, 2017
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    Jenny Hanson; Jayme Stone (2017). UMRR Pool 11 Bathymetry Footprint [Dataset]. https://search.dataone.org/view/88206306-48f7-4170-81af-2c11bc8a718f
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    Dataset updated
    Jun 1, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Jenny Hanson; Jayme Stone
    Time period covered
    Jan 1, 1999 - Oct 7, 2010
    Area covered
    Variables measured
    Day, DATE, Year, Acres, Month, Method, Hectares, pts_acre, pts_hect, Join_Count, and 1 more
    Description

    The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental assessments such as vegetation distribution patterns. The bathymetry "footprint" is a database that can be used as a tool to provide a quick search of collection dates corresponding to bathymetric coverages within each LTRM pool.

  13. d

    USGS US Topo 7.5-minute map for Sheldon NE, WI 2013

    • datadiscoverystudio.org
    geopdf
    Updated Jul 9, 2013
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    U.S. Geological Survey (2013). USGS US Topo 7.5-minute map for Sheldon NE, WI 2013 [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/3f991bae375342768fd137045add2996/html
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    geopdf(34.56368)Available download formats
    Dataset updated
    Jul 9, 2013
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Description

    Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

  14. s

    ScienceBase Item Summary Page

    • cinergi.sdsc.edu
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    U.S. Geological Survey, ScienceBase Item Summary Page [Dataset]. http://cinergi.sdsc.edu/geoportal/rest/metadata/item/0db13127d3bf4beeb761f2752607a088/html
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    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

  15. USGS National Map

    • hub.arcgis.com
    Updated Jun 22, 2017
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    Wisconsin Department of Natural Resources (2017). USGS National Map [Dataset]. https://hub.arcgis.com/documents/wi-dnr::usgs-national-map/about
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    Dataset updated
    Jun 22, 2017
    Dataset authored and provided by
    Wisconsin Department of Natural Resourceshttp://dnr.wi.gov/
    Description

    Link to the United States Geological Survey (USGS) National Map page to find, visualize and download USGS data and services, such as topo maps (DRGs), quad indexes, imagery, historical data/imagery, etc.

  16. s

    ScienceBase Item Summary Page

    • cinergi.sdsc.edu
    • datadiscoverystudio.org
    Updated Aug 23, 2010
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    U.S. Geological Survey (2010). ScienceBase Item Summary Page [Dataset]. http://cinergi.sdsc.edu/geoportal/rest/metadata/item/cec98e603fc1403a814b8affce80298f/html
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    Dataset updated
    Aug 23, 2010
    Dataset provided by
    U.S. Geological Survey
    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

  17. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
    Updated Jan 14, 2017
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    U.S. Geological Survey, National Geospatial Technical Operations Center (2017). ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/5a17864386544671a61c9f73b664e897/html
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    Dataset updated
    Jan 14, 2017
    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

  18. s

    ScienceBase Item Summary Page

    • cinergi.sdsc.edu
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    U.S. Geological Survey, ScienceBase Item Summary Page [Dataset]. http://cinergi.sdsc.edu/geoportal/rest/metadata/item/9ec497d20d6d44a89b1345a1bdbf49b5/html
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    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

  19. s

    ScienceBase Item Summary Page

    • cinergi.sdsc.edu
    + more versions
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    U.S. Geological Survey, ScienceBase Item Summary Page [Dataset]. http://cinergi.sdsc.edu/geoportal/rest/metadata/item/b4d5bdefb52c4eda952d1ae6143298ed/html
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    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

  20. s

    USGS US Topo 7.5-minute map for Horicon, WI 2010

    • cinergi.sdsc.edu
    geopdf
    Updated Jul 20, 2010
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    U.S. Geological Survey (2010). USGS US Topo 7.5-minute map for Horicon, WI 2010 [Dataset]. http://cinergi.sdsc.edu/geoportal/rest/metadata/item/805469fd6edb4525ac088e9e5a70669a/html
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    geopdf(10.966971)Available download formats
    Dataset updated
    Jul 20, 2010
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Description

    Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

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Wisconsin Department of Natural Resources (2019). Wisconsin DEM and Hillshade from LiDAR - Web Map [Dataset]. https://hub.arcgis.com/maps/f2e49a42f5e14dd5845536408279da9d
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Wisconsin DEM and Hillshade from LiDAR - Web Map

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3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 17, 2019
Dataset authored and provided by
Wisconsin Department of Natural Resourceshttp://dnr.wi.gov/
Area covered
Description

Web map displaying Wisconsin DNR-produced Digital Elevation Model (DEM) and Hillshade image services, along with their index layer, in formats that are clickable and can be symbolized and filtered. This map can also be used as a starting point to create a new map. To open the web map from DNR's GIS Open Data Portal, click the View Metadata: link to the right of the description, then click Open in Map Viewer.

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