100+ datasets found
  1. d

    Boundaries - Empowerment Zones - KML

    • catalog.data.gov
    • data.cityofchicago.org
    • +2more
    Updated Jan 19, 2024
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    data.cityofchicago.org (2024). Boundaries - Empowerment Zones - KML [Dataset]. https://catalog.data.gov/dataset/boundaries-empowerment-zones-kml
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    Dataset updated
    Jan 19, 2024
    Dataset provided by
    data.cityofchicago.org
    Description

    KML file of empowerment Zone boundaries in Chicago. To view or use these files, special GIS software, such as Google Earth, is required. The Empowerment Zones/Enterprise Communities program (EZ/EC) is a Federal, State, local government partnership for stimulating comprehensive renewal--particularly economic growth and social development--in distressed urban neighborhoods and rural areas across the nation. For more information, go to http://www.hud.gov/offices/cpd/economicdevelopment/programs/rc/

  2. d

    GIS2DJI: GIS file to DJI Pilot kml conversion tool

    • search.dataone.org
    • borealisdata.ca
    Updated Feb 24, 2024
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    Cadieux, Nicolas (2024). GIS2DJI: GIS file to DJI Pilot kml conversion tool [Dataset]. https://search.dataone.org/view/sha256%3Ad201e0d38014f27dece7af97f02f913e6873df90ffad67aceea4a221ef02d76f
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    Dataset updated
    Feb 24, 2024
    Dataset provided by
    Borealis
    Authors
    Cadieux, Nicolas
    Description

    GIS2DJI is a Python 3 program created to exports GIS files to a simple kml compatible with DJI pilot. The software is provided with a GUI. GIS2DJI has been tested with the following file formats: gpkg, shp, mif, tab, geojson, gml, kml and kmz. GIS_2_DJI will scan every file, every layer and every geometry collection (ie: MultiPoints) and create one output kml or kmz for each object found. It will import points, lines and polygons, and converted each object into a compatible DJI kml file. Lines and polygons will be exported as kml files. Points will be converted as PseudoPoints.kml. A PseudoPoints fools DJI to import a point as it thinks it's a line with 0 length. This allows you to import points in mapping missions. Points will also be exported as Point.kmz because PseudoPoints are not visible in a GIS or in Google Earth. The .kmz file format should make points compatible with some DJI mission software.

  3. 2020 Cartographic Boundary File (KML), Current County Subdivision for...

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Dec 14, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2020 Cartographic Boundary File (KML), Current County Subdivision for Colorado, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2020-cartographic-boundary-file-kml-current-county-subdivision-for-colorado-1-500000
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The 2020 cartographic boundary KMLs 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. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. In MCD states where no MCD exists or no MCD is defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The generalized boundaries of legal MCDs are based on those as of January 1, 2020 as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CCDs, delineated in 21 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  4. C

    Metra Lines - KML

    • data.cityofchicago.org
    • s.cnmilf.com
    • +3more
    application/rdfxml +5
    Updated Jun 24, 2011
    + more versions
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    City of Chicago (2011). Metra Lines - KML [Dataset]. https://data.cityofchicago.org/Transportation/Metra-Lines-KML/e7du-96jw
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    xml, tsv, application/rssxml, csv, json, application/rdfxmlAvailable download formats
    Dataset updated
    Jun 24, 2011
    Dataset authored and provided by
    City of Chicago
    Description

    KML file of Metra lines. To view or use these files, special GIS software such as Google Earth is required. To download, right-click the "Download" link above and choose "Save link as."

  5. A

    Unpublished Digital Geologic Map of Chickasaw National Recreation Area and...

    • data.amerigeoss.org
    • datadiscoverystudio.org
    • +2more
    api, xml, zip
    Updated Jul 30, 2019
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    United States[old] (2019). Unpublished Digital Geologic Map of Chickasaw National Recreation Area and Vicinity, Oklahoma (NPS, GRD, GRI, CHIC, CHIC digital map) [Dataset]. https://data.amerigeoss.org/es/dataset/unpublished-digital-geologic-map-of-chickasaw-national-recreation-area-and-vicinity-oklahoma-np
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    zip, api, xmlAvailable download formats
    Dataset updated
    Jul 30, 2019
    Dataset provided by
    United States[old]
    Area covered
    Oklahoma
    Description

    The Unpublished Digital Geologic Map of Chickasaw National Recreation Area and Vicinity, Oklahoma is composed of GIS data layers and GIS tables in a 10.0 file geodatabase (chic_geology.gdb), a 10.0 ArcMap (.MXD) map document (chic_geology.mxd), and individual 10.0 layer (.LYR) files for each GIS data layer, an ancillary map information (.PDF) document (chic_geology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.TXT) and FAQ (.HTML) formats, and a GIS readme file (chic_gis_readme.pdf). Please read the chic_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.0 shapefile format contact Stephanie O’Meara (stephanie_o’meara@colostate.edu; see contact information below). The data is also available as a 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. Google Earth software is available for free at: http://www.google.com/earth/index.html. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (chic_metadata_faq.html; available at http://nrdata.nps.gov/geology/gri_data/gis/chic/chic_metadata_faq.html). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.1. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 14N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth. The data is within the area of interest of Chickasaw National Recreation Area.

  6. m

    Google Earth files with geolocated frame-grabbed images from near-bottom...

    • marine-geo.org
    Updated Jul 16, 2003
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    MGDS > Marine Geoscience Data System (2003). Google Earth files with geolocated frame-grabbed images from near-bottom video cameras from the Izu-Bonin-Mariana Subduction Zone assembled as part of the MARGINS Data Portal in 2007 [Dataset]. https://www.marine-geo.org/tools/datasets/7025
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    Dataset updated
    Jul 16, 2003
    Dataset authored and provided by
    MGDS > Marine Geoscience Data System
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Time period covered
    Feb 10, 2001 - Jul 16, 2003
    Area covered
    Description

    This data set was acquired with a Video Camera assembled as part of the MARGINS Data Portal. These data files are of Google Earth (KML/KMZ) format include photos and vehicle navigation information.

  7. d

    National Register of Historic Places - KML

    • catalog.data.gov
    • data.cityofchicago.org
    • +2more
    Updated Dec 29, 2023
    + more versions
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    data.cityofchicago.org (2023). National Register of Historic Places - KML [Dataset]. https://catalog.data.gov/dataset/national-register-of-historic-places-kml
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    Dataset updated
    Dec 29, 2023
    Dataset provided by
    data.cityofchicago.org
    Description

    This dataset includes buildings and districts in Chicago which are listed on the National Register of Historic Places (NRHP) or designated as National Historic Landmarks (NHL). The NRHP is the official list of the Nation's historic places worthy of preservation; NHLs are nationally significant historic places designated by the Secretary of the Interior because they possess exceptional value or quality in illustrating or interpreting the heritage of the United States. The NRHP and NHL programs are federally-established and are administered by the National Park Service (www.nps/gov/nr) and the Illinois Historic Preservation Agency (IHPA, www.illinoishistory.gov/). This dataset is provided by the City of Chicago based on NRHP and NHL nominations provided by IHPA. To view or use this KMZ file, compression software, such as 7-Zip, and special GIS software, such as Google Earth, are required. To download this file, right-click the "Download" link above and choose "Save link as." Time Period: Data is current as of June 2012. Update Frequency: Data is updated as needed.

  8. Digital Geologic-GIS Map of the French Gulch 15' Quadrangle, California...

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Jun 5, 2024
    + more versions
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    National Park Service (2024). Digital Geologic-GIS Map of the French Gulch 15' Quadrangle, California (NPS, GRD, GRI, WHIS, FREG digital map) adapted from a U.S. Geological Survey Bulletin map by Albers (1964) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-the-french-gulch-15-quadrangle-california-nps-grd-gri-whis-fre
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    French Gulch, California
    Description

    The Unpublished Digital Geologic-GIS Map of the French Gulch 15' Quadrangle, California is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (freg_geology.gdb), a 10.1 ArcMap (.mxd) map document (freg_geology.mxd), individual 10.1 layer (.lyr) files for each GIS data layer, an ancillary map information document (whis_geology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.txt) and FAQ (.pdf) formats, and a GIS readme file (whis_geology_gis_readme.pdf). Please read the whis_geology_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O'Meara (stephanie.omeara@colostate.edu; see contact information below). The data is also available as a 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. Google Earth software is available for free at: http://www.google.com/earth/index.html. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (freg_geology_metadata.txt or freg_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 31.8 meters or 104.2 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 10N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth. The data is within the area of interest of Whiskeytown National Recreation Area.

  9. C

    Boundaries - Neighborhoods - KML

    • data.cityofchicago.org
    • datadiscoverystudio.org
    • +4more
    application/rdfxml +5
    Updated Jun 24, 2011
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    City of Chicago (2011). Boundaries - Neighborhoods - KML [Dataset]. https://data.cityofchicago.org/Facilities-Geographic-Boundaries/Boundaries-Neighborhoods-KML/buma-fjbv
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    xml, csv, application/rdfxml, json, tsv, application/rssxmlAvailable download formats
    Dataset updated
    Jun 24, 2011
    Dataset authored and provided by
    City of Chicago
    Description

    KML file of neighborhood boundaries in Chicago, as developed by the Office of Tourism. These boundaries are approximate and names are not official. To view or use these files, special GIS software, such as Google Earth, is required.

  10. Unpublished Digital Geologic-GIS Map of Parts of Great Sand Dunes National...

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Jun 5, 2024
    + more versions
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    National Park Service (2024). Unpublished Digital Geologic-GIS Map of Parts of Great Sand Dunes National Park and Preserve (Sangre de Cristo Mountains and part of the Dunes), Colorado (NPS, GRD, GRI, GRSA, GSAM digital map) adapted from U.S. Geological Survey Miscellaneous Field Studies Maps by Lindsey, Johnson, Bruce, Soulliere, Flores and Hafner (1985 to 1991) [Dataset]. https://catalog.data.gov/dataset/unpublished-digital-geologic-gis-map-of-parts-of-great-sand-dunes-national-park-and-preser
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Colorado, Sangre de Cristo Mountains
    Description

    The Unpublished Digital Geologic-GIS Map of Parts of Great Sand Dunes National Park and Preserve (Sangre de Cristo Mountains and part of the Dunes), Colorado is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (gsam_geology.gdb), a 10.1 ArcMap (.mxd) map document (gsam_geology.mxd), individual 10.1 layer (.lyr) files for each GIS data layer, an ancillary map information document (grsa_geology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.txt) and FAQ (.pdf) formats, and a GIS readme file (grsa_geology_gis_readme.pdf). Please read the grsa_geology_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O'Meara (stephanie.omeara@colostate.edu; see contact information below). The data is also available as a 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. Google Earth software is available for free at: http://www.google.com/earth/index.html. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (gsam_geology_metadata.txt or gsam_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 13N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth. The data is within the area of interest of Great Sand Dunes National Park and Preserve.

  11. a

    Farmers’ Markets

    • catalogue.arctic-sdi.org
    • data.ontario.ca
    • +2more
    Updated Jan 28, 2021
    + more versions
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    (2021). Farmers’ Markets [Dataset]. http://catalogue.arctic-sdi.org/geonetwork/srv/resources/datasets/05f72a28-01f3-4d8e-b6e8-71d2d494ab22
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    Dataset updated
    Jan 28, 2021
    Description

    This dataset displays the name, website and locations of Ontario Farmers Markets, as derived from the Farmers Markets of Ontario Website. The 2 datasets available below are zipped files containing: * .kmz files for use with Google Earth or similar Keyhole Markup Language (KML) compatible software * shapefiles for use with GIS software For instructions on how to use Google Earth, read the Google Earth tutorial.

  12. Digital Geologic-GIS Map of the West Shasta Copper-Zinc District, California...

    • s.cnmilf.com
    • catalog.data.gov
    • +1more
    Updated Jun 5, 2024
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    National Park Service (2024). Digital Geologic-GIS Map of the West Shasta Copper-Zinc District, California (NPS, GRD, GRI, WHIS, WSCZ digital map) adapted from a U.S. Geological Survey Professional Paper map by Kinkel, Hall and Albers (1956) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/digital-geologic-gis-map-of-the-west-shasta-copper-zinc-district-california-nps-grd-gri-wh
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Shasta, California
    Description

    The Unpublished Digital Geologic-GIS Map of the West Shasta Copper-Zinc District, California is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (wscz_geology.gdb), a 10.1 ArcMap (.mxd) map document (wscz_geology.mxd), individual 10.1 layer (.lyr) files for each GIS data layer, an ancillary map information document (whis_geology_gis_readme.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.txt) and FAQ (.pdf) formats, and a GIS readme file (whis_geology_gis_readme.pdf). Please read the whis_geology_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O'Meara (stephanie.omeara@colostate.edu; see contact information below). The data is also available as a 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. Google Earth software is available for free at: http://www.google.com/earth/index.html. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (wscz_geology_metadata.txt or wscz_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual _location as presented by this dataset. Users of this data should thus not assume the _location of features is exactly where they are portrayed in Google Earth, ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 10N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth. The data is within the area of interest of Whiskeytown National Recreation Area.

  13. Digital Geologic-GIS Map of Theodore Roosevelt National Park and Vicinity,...

    • catalog.data.gov
    • data.amerigeoss.org
    Updated Jun 5, 2024
    + more versions
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    Digital Geologic-GIS Map of Theodore Roosevelt National Park and Vicinity, North Dakota (NPS, GRD, GRI, THRO, THRO digital map) adapted from a North Dakota Geological Survey Miscellaneous Series map by Biek and Gonzalez (2001), and North Dakota Geological Survey 24K Series maps by Gonzalez (2004) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-theodore-roosevelt-national-park-and-vicinity-north-dakota-nps
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    North Dakota
    Description

    The Unpublished Digital Geologic-GIS Map of Theodore Roosevelt National Park and Vicinity, North Dakota is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (thro_geology.gdb), a 10.1 ArcMap (.mxd) map document (thro_geology.mxd), individual 10.1 layer (.lyr) files for each GIS data layer, an ancillary map information document (thro_geology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.txt) and FAQ (.pdf) formats, and a GIS readme file (thro_geology_gis_readme.pdf). Please read the thro_geology_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O'Meara (stephanie.omeara@colostate.edu; see contact information below). The data is also available as a 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. Google Earth software is available for free at: http://www.google.com/earth/index.html. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: North Dakota Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (thro_geology_metadata.txt or thro_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 13N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth. The data is within the area of interest of Theodore Roosevelt National Park.

  14. m

    Processed Ship-Based Bathymetry Data (KMZ Format) from the Johnston Atoll...

    • marine-geo.org
    Updated Mar 25, 2025
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    MGDS > Marine Geoscience Data System (2025). Processed Ship-Based Bathymetry Data (KMZ Format) from the Johnston Atoll Seamount acquired during R/V Falkor expedition FK171224 (2017) [Dataset]. https://www.marine-geo.org/tools/search/Files.php?data_set_uid=24432
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    Dataset updated
    Mar 25, 2025
    Dataset authored and provided by
    MGDS > Marine Geoscience Data System
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Description

    This data set was acquired with a Kongsberg Maritime EM302 Multibeam Sonar and Kongsberg Maritime EM710 Multibeam Sonar during R/V Falkor expedition FK171224 conducted in 2017 (Chief Scientist: Dr. Brian Taylor, Investigator: Dr. Brian Taylor). These data files are of Google Earth (KML/KMZ) format and include Bathymetry data that were processed after acquisition.

  15. Unpublished Digital Post-Hurricane Sandy (2015) Geomorphological-GIS Map of...

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Jun 4, 2024
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    National Park Service (2024). Unpublished Digital Post-Hurricane Sandy (2015) Geomorphological-GIS Map of the Gateway National Recreation Area: Sandy Hook, Jamaica Bay and Staten Island Units, New Jersey and New York (NPS, GRD, GRI, GATE, GATE digital map) adapted from a Rutgers University Institute of Marine and Coastal Sciences unpublished digital data by Psuty, N.P., Schmelz, W., Greenberg, J. and Spahn A. (2015) [Dataset]. https://catalog.data.gov/dataset/unpublished-digital-post-hurricane-sandy-2015-geomorphological-gis-map-of-the-gateway-nati
    Explore at:
    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Sandy Hook, Jamaica Bay, New York, Staten Island
    Description

    The Unpublished Digital Post-Hurricane Sandy Geomorphological-GIS Map of the Gateway National Recreation Area: Sandy Hook, Jamaica Bay and Staten Island Units, New Jersey and New York is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (gate_geomorphology.gdb), a 10.1 ArcMap (.MXD) map document (gate_geomorphology.mxd), individual 10.1 layer (.LYR) files for each GIS data layer, an ancillary map information (.PDF) document (gate_geomorphology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.TXT) and FAQ (.HTML) formats, and a GIS readme file (gate_gis_readme.pdf). Please read the gate_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O’Meara (stephanie.omeara@colostate.edu; see contact information below). The data is also available as a 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. Google Earth software is available for free at: http://www.google.com/earth/index.html. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Rutgers University Institute of Marine and Coastal Sciences. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (gate_metadata_faq.html; available at http://nrdata.nps.gov/geology/gri_data/gis/gate/gate_metadata_faq.html). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:6,000 and United States National Map Accuracy Standards features are within (horizontally) 5.08 meters or 16.67 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 18N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth. The data is within the area of interest of Gateway National Recreation Area.

  16. Digital Surficial Geologic-GIS Map of Bent's Old Fort National Historic Site...

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Jun 5, 2024
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    National Park Service (2024). Digital Surficial Geologic-GIS Map of Bent's Old Fort National Historic Site and Vicinity, Colorado (NPS, GRD, GRI, BEOL, BOFS digital map) adapted from a Colorado State University unpublished map by Linn (1999) [Dataset]. https://catalog.data.gov/dataset/digital-surficial-geologic-gis-map-of-bents-old-fort-national-historic-site-and-vicinity-c
    Explore at:
    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Colorado
    Description

    The Unpublished Digital Surficial Geologic-GIS Map of Bent's Old Fort National Historic Site and Vicinity, Colorado is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (bofs_surficial.gdb), a 10.1 ArcMap (.mxd) map document (bofs_surficial.mxd), individual 10.1 layer (.lyr) files for each GIS data layer, an ancillary map information document (beol_geology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.txt) and FAQ (.pdf) formats, and a GIS readme file (beol_geology_gis_readme.pdf). Please read the beol_geology_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O'Meara (stephanie.omeara@colostate.edu; see contact information below). The data is also available as a 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. Google Earth software is available for free at: http://www.google.com/earth/index.html. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Colorado State University. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (bofs_surficial_metadata.txt or bofs_surficial_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 13N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth. The data is within the area of interest of Bent's Old Fort National Historic Site.

  17. 2022 Cartographic Boundary File (KML), Current County Subdivision for...

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Dec 14, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2022 Cartographic Boundary File (KML), Current County Subdivision for Arkansas, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2022-cartographic-boundary-file-kml-current-county-subdivision-for-arkansas-1-500000
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Arkansas
    Description

    The 2022 cartographic boundary KMLs 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. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. In MCD states where no MCD exists or no MCD is defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The generalized boundaries of legal MCDs are based on those as of January 1, 2022, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CCDs, delineated in 21 states, are based on those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  18. A

    ‘Boundaries - Tax Increment Financing Districts (Deprecated January 2019)’...

    • analyst-2.ai
    Updated Jan 15, 2019
    + more versions
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2019). ‘Boundaries - Tax Increment Financing Districts (Deprecated January 2019)’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-boundaries-tax-increment-financing-districts-deprecated-january-2019-b725/7e432bfe/?iid=007-472&v=presentation
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    Dataset updated
    Jan 15, 2019
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Boundaries - Tax Increment Financing Districts (Deprecated January 2019)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/db22d3e4-6061-4678-9219-ac4c937dd245 on 12 February 2022.

    --- Dataset description provided by original source is as follows ---

    OUTDATED. See the current data at https://data.cityofchicago.org/d/fz5x-7zak -- Tax Increment Financing (TIF) district boundaries in Chicago. The data can be viewed on the Chicago Data Portal with a web browser. However, to view or use the files outside of a web browser, you will need to use compression software and special GIS software, such as ESRI ArcGIS (shapefile) or Google Earth (KML or KMZ), is required.

    --- Original source retains full ownership of the source dataset ---

  19. Digital Surficial Geologic-GIS Map of Isle Au Haut and Immediate Vicinity,...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Jun 4, 2024
    + more versions
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    National Park Service (2024). Digital Surficial Geologic-GIS Map of Isle Au Haut and Immediate Vicinity, Acadia National Park, Maine (NPS, GRD, GRI, ACAD, ISHA digital map) adapted from a Maine Geological Survey Open-File Map by Borns, Smith and Thompson (1974) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/digital-surficial-geologic-gis-map-of-isle-au-haut-and-immediate-vicinity-acadia-national-
    Explore at:
    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Isle au Haut, Maine
    Description

    The Unpublished Digital Surficial Geologic-GIS Map of Isle Au Haut and Immediate Vicinity, Acadia National Park, Maine is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (isha_surficial_geology.gdb), a 10.1 ArcMap (.mxd) map document (isha_surficial_geology.mxd), individual 10.1 layer (.lyr) files for each GIS data layer, an ancillary map information document (acad_surficial_geology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.txt) and FAQ (.pdf) formats, and a GIS readme file (acad_geology_gis_readme.pdf). Please read the acad_geology_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O'Meara (stephanie.omeara@colostate.edu; see contact information below). The data is also available as a 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. Google Earth software is available for free at: http://www.google.com/earth/index.html. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Maine Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (isha_surficial_geology_metadata.txt or isha_surficial_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 31.8 meters or 104.2 feet of their actual _location as presented by this dataset. Users of this data should thus not assume the _location of features is exactly where they are portrayed in Google Earth, ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm). The GIS data projection is NAD83, UTM Zone 19N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth. The data is within the area of interest of Acadia National Park.

  20. d

    Boundaries - Industrial Corridors (current)

    • datasets.ai
    • data.cityofchicago.org
    • +2more
    23, 25, 57, 8
    Updated Aug 6, 2024
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    City of Chicago (2024). Boundaries - Industrial Corridors (current) [Dataset]. https://datasets.ai/datasets/boundaries-industrial-corridors-current
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    25, 57, 23, 8Available download formats
    Dataset updated
    Aug 6, 2024
    Dataset authored and provided by
    City of Chicago
    Description

    Current industrial corridors in Chicago. The data can be viewed on the Chicago Data Portal with a web browser. However, to view or use the files outside of a web browser, you will need to use compression software and special GIS software, such as ESRI ArcGIS (shapefile) or Google Earth (KML or KMZ), is required.

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data.cityofchicago.org (2024). Boundaries - Empowerment Zones - KML [Dataset]. https://catalog.data.gov/dataset/boundaries-empowerment-zones-kml

Boundaries - Empowerment Zones - KML

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Dataset updated
Jan 19, 2024
Dataset provided by
data.cityofchicago.org
Description

KML file of empowerment Zone boundaries in Chicago. To view or use these files, special GIS software, such as Google Earth, is required. The Empowerment Zones/Enterprise Communities program (EZ/EC) is a Federal, State, local government partnership for stimulating comprehensive renewal--particularly economic growth and social development--in distressed urban neighborhoods and rural areas across the nation. For more information, go to http://www.hud.gov/offices/cpd/economicdevelopment/programs/rc/

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