47 datasets found
  1. a

    Shoreline Management Master Program / shorelinemmp area

    • hub.arcgis.com
    • gis-kingcounty.opendata.arcgis.com
    Updated Sep 18, 2003
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    King County (2003). Shoreline Management Master Program / shorelinemmp area [Dataset]. https://hub.arcgis.com/datasets/kingcounty::shoreline-management-master-program-shorelinemmp-area/about
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    Dataset updated
    Sep 18, 2003
    Dataset authored and provided by
    King County
    Area covered
    Description

    K.C. Shoreline Management Master Program. Related to SAO wetlands and FEMA floodpln (has boolean attributes floodpln and wetlands).

  2. d

    Digital Geologic-GIS Map of the Rhoda Quadrangle, Kentucky (NPS, GRD, GRI,...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jun 4, 2024
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    National Park Service (2024). Digital Geologic-GIS Map of the Rhoda Quadrangle, Kentucky (NPS, GRD, GRI, MACA, RHOD digital map) adapted from a U.S. Geological Survey Geologic Quadrangle Map by Klemic (1963) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-the-rhoda-quadrangle-kentucky-nps-grd-gri-maca-rhod-digital-ma
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    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Service
    Area covered
    Kentucky
    Description

    The Digital Geologic-GIS Map of the Rhoda Quadrangle, Kentucky is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (rhod_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (rhod_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (rhod_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (maca_abli_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (maca_abli_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (rhod_geology_metadata_faq.pdf). Please read the maca_abli_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. 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). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). 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 (rhod_geology_metadata.txt or rhod_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 ArcGIS, QGIS 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).

  3. f

    PERM cases by degree level

    • froghire.ai
    Updated Apr 3, 2025
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    FrogHire.ai (2025). PERM cases by degree level [Dataset]. https://www.froghire.ai/major/Masters%20Of%20Science%20In%20Gis%20Technology
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    Dataset updated
    Apr 3, 2025
    Dataset provided by
    FrogHire.ai
    Description

    This pie chart illustrates the distribution of degrees—Bachelor’s, Master’s, and Doctoral—among PERM graduates from Masters Of Science In Gis Technology. It shows the educational composition of students who have pursued and successfully obtained permanent residency through their qualifications in Masters Of Science In Gis Technology. This visualization helps to understand the diversity of educational backgrounds that contribute to successful PERM applications, reflecting the major’s role in fostering students’ career paths towards permanent residency in the U.S.

  4. f

    PERM cases by degree level

    • froghire.ai
    Updated Apr 6, 2025
    + more versions
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    FrogHire.ai (2025). PERM cases by degree level [Dataset]. https://www.froghire.ai/major/Geography%20%28Gis%20Specialty%29
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    Dataset updated
    Apr 6, 2025
    Dataset provided by
    FrogHire.ai
    Description

    This pie chart illustrates the distribution of degrees—Bachelor’s, Master’s, and Doctoral—among PERM graduates from Geography (Gis Specialty). It shows the educational composition of students who have pursued and successfully obtained permanent residency through their qualifications in Geography (Gis Specialty). This visualization helps to understand the diversity of educational backgrounds that contribute to successful PERM applications, reflecting the major’s role in fostering students’ career paths towards permanent residency in the U.S.

  5. Digital Bedrock Geologic-GIS Map of Minuteman National Historical Site and...

    • catalog.data.gov
    Updated Jun 5, 2024
    + more versions
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    National Park Service (2024). Digital Bedrock Geologic-GIS Map of Minuteman National Historical Site and Vicinity, Massachusetts (NPS, GRD, GRI, MIMA, mima_bedrock digital map) adapted from a Boston College Master's Thesis map by Langford and Hepburn (2007), a U.S. Geological Survey Bulletin map by Hansen (1956) and a U.S. Geological Survey Open-File Report map by Stone and Stone (2006) [Dataset]. https://catalog.data.gov/dataset/digital-bedrock-geologic-gis-map-of-minuteman-national-historical-site-and-vicinity-massac
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Boston, Massachusetts
    Description

    The Digital Bedrock Geologic-GIS Map of Minuteman National Historical Site and Vicinity, Massachusetts is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (mima_bedrock_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 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. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (mima_bedrock_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) this file (mima_geology.gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (mima_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (mima_bedrock_geology_metadata_faq.pdf). Please read the mima_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: http://www.google.com/earth/index.html. QGIS software is available for free at: https://www.qgis.org/en/site/. 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). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Boston College and 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 (mima_bedrock_geology_metadata.txt or mima_bedrock_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) 25.4 meters or 83.3 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, QGIS 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).

  6. a

    High School Graduate Count

    • rural-utility-business-advisory-hub-site-1-dcced.hub.arcgis.com
    • gis.data.alaska.gov
    • +5more
    Updated Sep 5, 2019
    + more versions
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    Dept. of Commerce, Community, & Economic Development (2019). High School Graduate Count [Dataset]. https://rural-utility-business-advisory-hub-site-1-dcced.hub.arcgis.com/datasets/high-school-graduate-count
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    Dataset updated
    Sep 5, 2019
    Dataset authored and provided by
    Dept. of Commerce, Community, & Economic Development
    Area covered
    Description

    Count of high school graduates for each public school in Alaska. Data covers the School Year 2013 to the present. Each year's count includes students graduating at any point during the school year (July 1 to June 30).Source: Alaska Department of Education & Early Development

    This data has been visualized in a Geographic Information Systems (GIS) format and is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: Alaska Department of Education & Early Development Data Center.

  7. a

    Shoreline Master Program (SMP) Environment Designations / smp designations...

    • king-snocoplanning.opendata.arcgis.com
    • gis-kingcounty.opendata.arcgis.com
    Updated May 9, 2007
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    King County (2007). Shoreline Master Program (SMP) Environment Designations / smp designations area [Dataset]. https://king-snocoplanning.opendata.arcgis.com/maps/kingcounty::shoreline-master-program-smp-environment-designations-smp-designations-area
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    Dataset updated
    May 9, 2007
    Dataset authored and provided by
    King County
    Area covered
    Description

    SMP Environment Designations

  8. p

    UniGR - cross-border study programme: Erasmus Mundus Master in Language and...

    • data.public.lu
    • data.europa.eu
    Updated Jan 15, 2025
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    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire (2025). UniGR - cross-border study programme: Erasmus Mundus Master in Language and Communication Technologies (MA) [Dataset]. https://data.public.lu/en/datasets/unigr-cross-border-study-programme-erasmus-mundus-master-in-language-and-communication-technologies-ma/
    Explore at:
    application/geopackage+sqlite3(90112), application/geo+json(1633), zip(1566)Available download formats
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire
    License

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

    Description

    UniGR cross-border study programme: Erasmus Mundus Master in Language and Communication Technologies (MA) Source: UniGR Link to interactive map: https://map.gis-gr.eu/theme/main?version=3&zoom=8&X=708580&Y=6429642&lang=fr&rotation=0&layers=2240&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/5a4afa26-fa3b-4557-88d5-be6353bd321c This dataset is published in the view service (WMS) available at: https://ws.geoportail.lu/wss/service/GR_Crossborder_programmes_humanities_arts_2023_WMS/guest with layer name(s): -UniGR_Erasmus_Mundus_Master_MA

  9. f

    PERM cases by degree level

    • froghire.ai
    Updated Apr 6, 2025
    + more versions
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    FrogHire.ai (2025). PERM cases by degree level [Dataset]. https://www.froghire.ai/major/Geogrpahy%20Information%20Systems%20%28Gis%29
    Explore at:
    Dataset updated
    Apr 6, 2025
    Dataset provided by
    FrogHire.ai
    Description

    This pie chart illustrates the distribution of degrees—Bachelor’s, Master’s, and Doctoral—among PERM graduates from Geogrpahy Information Systems (Gis). It shows the educational composition of students who have pursued and successfully obtained permanent residency through their qualifications in Geogrpahy Information Systems (Gis). This visualization helps to understand the diversity of educational backgrounds that contribute to successful PERM applications, reflecting the major’s role in fostering students’ career paths towards permanent residency in the U.S.

  10. f

    PERM cases by degree level

    • froghire.ai
    Updated Apr 6, 2025
    + more versions
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    FrogHire.ai (2025). PERM cases by degree level [Dataset]. https://www.froghire.ai/major/Geographic%20Information%20Systems%20And%20Zoology
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    Dataset updated
    Apr 6, 2025
    Dataset provided by
    FrogHire.ai
    Description

    This pie chart illustrates the distribution of degrees—Bachelor’s, Master’s, and Doctoral—among PERM graduates from Geographic Information Systems And Zoology. It shows the educational composition of students who have pursued and successfully obtained permanent residency through their qualifications in Geographic Information Systems And Zoology. This visualization helps to understand the diversity of educational backgrounds that contribute to successful PERM applications, reflecting the major’s role in fostering students’ career paths towards permanent residency in the U.S.

  11. GIS Programming course: Quiz and home assignment self assessments

    • figshare.com
    xlsx
    Updated Mar 6, 2025
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    Hartwig Hochmair (2025). GIS Programming course: Quiz and home assignment self assessments [Dataset]. http://doi.org/10.6084/m9.figshare.28551017.v1
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    xlsxAvailable download formats
    Dataset updated
    Mar 6, 2025
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Hartwig Hochmair
    License

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

    Description

    This repository contains two Microsoft Excel documents:A quiz with eight questions, assigned to students in a graduate-level GIS programming course as part of Homework Assignment 2. The quiz assesses students' understanding of basic Python programming principles (such as loops and conditional statements).An Excel document with three worksheets, each corresponding to one homework assignment from the same graduate GIS programming course. The document includes self-reported background information (e.g., students' prior programming experience), details about the use of various resources (e.g., websites) for completing assignments, the perceived helpfulness of these resources, and scores for the homework assignments and quizzes.

  12. Licensed Narcotic Treatment Programs

    • healthdata.gov
    • data.chhs.ca.gov
    • +7more
    application/rdfxml +5
    Updated Jun 20, 2025
    + more versions
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    chhs.data.ca.gov (2025). Licensed Narcotic Treatment Programs [Dataset]. https://healthdata.gov/State/Licensed-Narcotic-Treatment-Programs/h9bp-dqbq
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    csv, tsv, application/rssxml, xml, application/rdfxml, jsonAvailable download formats
    Dataset updated
    Jun 20, 2025
    Dataset provided by
    chhs.data.ca.gov
    Description

    The Narcotic Treatment Program Master List contains a list of all state-licensed and certified narcotic treatment programs. The Master List contains vital information for each program listed and additional details, such as the program’s address and contact information, total capacity, hours of operation and program director and medical director.

  13. Digital Geologic-GIS Map of Glacier National Park, Montana (NPS, GRD, GRI,...

    • catalog.data.gov
    • datasets.ai
    Updated Jun 5, 2024
    + more versions
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    National Park Service (2024). Digital Geologic-GIS Map of Glacier National Park, Montana (NPS, GRD, GRI, GLAC, GLAC digital map) adapted from a U.S. Geological Survey Miscellaneous Investigations Series Map by Whipple (1992) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-glacier-national-park-montana-nps-grd-gri-glac-glac-digital-ma
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Montana
    Description

    The Digital Geologic-GIS Map of Glacier National Park, Montana is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (glac_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 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. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (glac_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) this file (glac_geology.gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (glac_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (glac_geology_metadata_faq.pdf). Please read the glac_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: http://www.google.com/earth/index.html. QGIS software is available for free at: https://www.qgis.org/en/site/. 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). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). 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 (glac_geology_metadata.txt or glac_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 1:100,000 and United States National Map Accuracy Standards features are within (horizontally) 50.8 meters or 166.7 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, QGIS 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).

  14. p

    UniGR - cross-border study programme: Trinational Master in Literary,...

    • data.public.lu
    Updated Jan 15, 2025
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    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire (2025). UniGR - cross-border study programme: Trinational Master in Literary, Cultural and Linguistic History of the German-Speaking World (MA) [Dataset]. https://data.public.lu/en/datasets/unigr-cross-border-study-programme-trinational-master-in-literary-cultural-and-linguistic-history-of-the-german-speaking-world-ma/
    Explore at:
    application/geopackage+sqlite3(90112), application/geo+json(2986), zip(1874)Available download formats
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire
    License

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

    Description

    UniGR cross-border study programme: Trinational Master in Literary, Cultural and Linguistic History of the German-Speaking World (MA) Source: UniGR Link to interactive map: https://map.gis-gr.eu/theme/main?version=3&zoom=8&X=708580&Y=6429642&lang=fr&rotation=0&layers=2239&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/0dda1840-f3d3-4aac-88dc-d7cd978d6b55 This dataset is published in the view service (WMS) available at: https://ws.geoportail.lu/wss/service/GR_Crossborder_programmes_humanities_arts_2023_WMS/guest with layer name(s): -UniGR_Trinational_Master_MA

  15. f

    PERM cases by degree level

    • froghire.ai
    Updated Apr 3, 2025
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    FrogHire.ai (2025). PERM cases by degree level [Dataset]. https://www.froghire.ai/major/Geography%20With%20Concentration%20In%20Gis
    Explore at:
    Dataset updated
    Apr 3, 2025
    Dataset provided by
    FrogHire.ai
    Description

    This pie chart illustrates the distribution of degrees—Bachelor’s, Master’s, and Doctoral—among PERM graduates from Geography With Concentration In Gis. It shows the educational composition of students who have pursued and successfully obtained permanent residency through their qualifications in Geography With Concentration In Gis. This visualization helps to understand the diversity of educational backgrounds that contribute to successful PERM applications, reflecting the major’s role in fostering students’ career paths towards permanent residency in the U.S.

  16. f

    PERM cases by degree level

    • froghire.ai
    Updated Apr 3, 2025
    + more versions
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    FrogHire.ai (2025). PERM cases by degree level [Dataset]. https://www.froghire.ai/major/Environmental%20Remote%20Sensing%20And%20Geographic%20Information%20Systems
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    Dataset updated
    Apr 3, 2025
    Dataset provided by
    FrogHire.ai
    Description

    This pie chart illustrates the distribution of degrees—Bachelor’s, Master’s, and Doctoral—among PERM graduates from Environmental Remote Sensing And Geographic Information Systems. It shows the educational composition of students who have pursued and successfully obtained permanent residency through their qualifications in Environmental Remote Sensing And Geographic Information Systems. This visualization helps to understand the diversity of educational backgrounds that contribute to successful PERM applications, reflecting the major’s role in fostering students’ career paths towards permanent residency in the U.S.

  17. a

    College Map

    • hub.arcgis.com
    • catalog.data.gov
    Updated Mar 15, 2017
    + more versions
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    National Center for Education Statistics (2017). College Map [Dataset]. https://hub.arcgis.com/items/54c1339972ad4b1eb347047c7ca3e616
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    Dataset updated
    Mar 15, 2017
    Dataset authored and provided by
    National Center for Education Statistics
    License

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

    Description

    Finding Schools is now easier than ever with the College Map, the first geographic search tool published by IPEDS (Integrated Postsecondary Education Data System) providing access to over 7,000 certificate, undergraduate and graduate-level schools. This all-in-one tool enables students, parents and counselors to filter potential programs for location, major, tuition and more. Including both certificate-level programs and advanced degrees, this public application makes the often overwhelming process of school searching simple, and it’s available on mobile devices.Once the results are narrowed down, users can share their lists on social media or download in excel format. Additionally, the College Map integrates with the College Navigator, a research based search tool providing data from the complete list of IPEDS Survey indicators.All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.

  18. r

    GIS database of archaeological remains on Samoa

    • researchdata.se
    • demo.researchdata.se
    • +1more
    Updated Dec 19, 2023
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    Olof Håkansson (2023). GIS database of archaeological remains on Samoa [Dataset]. http://doi.org/10.5878/003012
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    (10994657)Available download formats
    Dataset updated
    Dec 19, 2023
    Dataset provided by
    Uppsala University
    Authors
    Olof Håkansson
    Area covered
    Samoa
    Description

    Data set that contains information on archaeological remains of the pre historic settlement of the Letolo valley on Savaii on Samoa. It is built in ArcMap from ESRI and is based on previously unpublished surveys made by the Peace Corps Volonteer Gregory Jackmond in 1976-78, and in a lesser degree on excavations made by Helene Martinsson Wallin and Paul Wallin. The settlement was in use from at least 1000 AD to about 1700- 1800. Since abandonment it has been covered by thick jungle. However by the time of the survey by Jackmond (1976-78) it was grazed by cattle and the remains was visible. The survey is at file at Auckland War Memorial Museum and has hitherto been unpublished. A copy of the survey has been accessed by Olof Håkansson through Martinsson Wallin and Wallin and as part of a Masters Thesis in Archeology at Uppsala University it has been digitised.

    Olof Håkansson has built the data base structure in the software from ESRI, and digitised the data in 2015 to 2017. One of the aims of the Masters Thesis was to discuss hierarchies. To do this, subsets of the data have been displayed in various ways on maps. Another aim was to discuss archaeological methodology when working with spatial data, but the data in itself can be used without regard to the questions asked in the Masters Thesis. All data that was unclear has been removed in an effort to avoid errors being introduced. Even so, if there is mistakes in the data set it is to be blamed on the researcher, Olof Håkansson. A more comprehensive account of the aim, questions, purpose, method, as well the results of the research, is to be found in the Masters Thesis itself. Direkt link http://uu.diva-portal.org/smash/record.jsf?pid=diva2%3A1149265&dswid=9472

    Purpose:

    The purpose is to examine hierarchies in prehistoric Samoa. The purpose is further to make the produced data sets available for study.

    Prehistoric remains of the settlement of Letolo on the Island of Savaii in Samoa in Polynesia

  19. d

    Digital Geologic-GIS Map of the Hasty Quadrangle, Arkansas (NPS, GRD, GRI,...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jun 4, 2024
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    National Park Service (2024). Digital Geologic-GIS Map of the Hasty Quadrangle, Arkansas (NPS, GRD, GRI, BUFF, HSTY digital map) adapted from a U.S. Geological Survey Scientific Investigations Map by Hudson and Turner (2014), and a U.S. Geological Survey Scientific Investigations Map by Hudson and Murray (2004) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-the-hasty-quadrangle-arkansas-nps-grd-gri-buff-hsty-digital-ma
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    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Service
    Area covered
    Arkansas
    Description

    The Digital Geologic-GIS Map of the Hasty Quadrangle, Arkansas is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (hsty_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (hsty_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (hsty_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (buff_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (buff_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (hsty_geology_metadata_faq.pdf). Please read the buff_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. 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). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). 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 (hsty_geology_metadata.txt or hsty_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 ArcGIS, QGIS 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).

  20. d

    Digital Geologic-GIS Map of the Madison Junction 15' Quadrangle, Wyoming...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jun 5, 2024
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    National Park Service (2024). Digital Geologic-GIS Map of the Madison Junction 15' Quadrangle, Wyoming (NPS, GRD, GRI, YELL, MAJU digital map) adapted from a U.S. Geological Survey unpublished digital data map by the U.S. Geological Survey (2002) and a U.S. Geological Survey Geologic Quadrangle Map by Christiansen and Blank (1974) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-the-madison-junction-15-quadrangle-wyoming-nps-grd-gri-yell-ma
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Service
    Area covered
    Wyoming
    Description

    The Digital Geologic-GIS Map of the Madison Junction 15' Quadrangle, Wyoming is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (maju_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (maju_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (maju_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) this file (yell_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (yell_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (maju_geology_metadata_faq.pdf). Please read the yell_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. 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). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). 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 (maju_geology_metadata.txt or maju_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 ArcGIS, QGIS 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).

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King County (2003). Shoreline Management Master Program / shorelinemmp area [Dataset]. https://hub.arcgis.com/datasets/kingcounty::shoreline-management-master-program-shorelinemmp-area/about

Shoreline Management Master Program / shorelinemmp area

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Dataset updated
Sep 18, 2003
Dataset authored and provided by
King County
Area covered
Description

K.C. Shoreline Management Master Program. Related to SAO wetlands and FEMA floodpln (has boolean attributes floodpln and wetlands).

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