58 datasets found
  1. Less Than Bachelors' Education GIS

    • data-sccphd.opendata.arcgis.com
    Updated Aug 24, 2022
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    Santa Clara County Public Health (2022). Less Than Bachelors' Education GIS [Dataset]. https://data-sccphd.opendata.arcgis.com/datasets/less-than-bachelors-education-gis
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    Dataset updated
    Aug 24, 2022
    Dataset provided by
    Santa Clara County Public Health Departmenthttps://publichealth.sccgov.org/
    Authors
    Santa Clara County Public Health
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Table contains count and percent of county residents ages 25 years and older with less than bachelors' education attainment. The measure is summarized at county, city, zip code and census tract. Data are presented for zip codes (ZCTAs) fully within the county. Source: U.S. Census Bureau, 2016-2020 American Community Survey 5-year estimates, Table B15002; data accessed on May 17, 2022 from https://api.census.gov. The 2020 Decennial geographies are used for data summarization.METADATA:notes (String): Lists table title, notes, sourcesgeolevel (String): Level of geographyGEOID (Numeric): Geography IDNAME (String): Name of geographypop (Numeric): Population ages 25 and olderpct_lt_bach (Numeric): Number of people ages 25 and older with less than bachelors' educationlt_bachelor (Numeric): Percent of people ages 25 and older with less than bachelors' education

  2. Fieldwork area exploration tutorials (for undergraduate field course)

    • figshare.com
    pdf
    Updated Aug 19, 2016
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    Wouter Marra (2016). Fieldwork area exploration tutorials (for undergraduate field course) [Dataset]. http://doi.org/10.6084/m9.figshare.3472940.v2
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    pdfAvailable download formats
    Dataset updated
    Aug 19, 2016
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Wouter Marra
    License

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

    Description

    Instructions for students to use aerial photos, Google Earth and QGIS to explore their fieldwork area prior to their field trip. This material was designed for first-year undergraduate Earth Sciences students, in preparation to a fieldwork in the French Alps. The fieldwork and this guide focuses on understanding the geology and geomorphology.The accompanying dataset.zip contains required gis-data, which are a DEM (SRTM) and Satellite images (Landsat). This dataset is without a topographic map (SCAN25 from IGN) due to licence constraint. For academic use, request your own licence from IGN (ign.fr) directly.

  3. a

    Highest Education Completed is Associate's Degree

    • hub.arcgis.com
    Updated May 19, 2020
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    Welcome to the City of Corona GIS System (2020). Highest Education Completed is Associate's Degree [Dataset]. https://hub.arcgis.com/maps/9b7449303e104a5d93e9bd8c8666dbce
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    Dataset updated
    May 19, 2020
    Dataset authored and provided by
    Welcome to the City of Corona GIS System
    Area covered
    Description

    This webmap displays the percent of population 25 years and over whose highest education completed is associate's degree. This webmap also contains the following layers: City of Corona Limits, State Boundary, County Boundary and Tract Boundary.

  4. d

    Data from: GIS Data for Geologic Map of the Hailey 1 x 2 Degree Quadrangle,...

    • catalog.data.gov
    • data.usgs.gov
    Updated Sep 14, 2025
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    U.S. Geological Survey (2025). GIS Data for Geologic Map of the Hailey 1 x 2 Degree Quadrangle, Idaho [Dataset]. https://catalog.data.gov/dataset/gis-data-for-geologic-map-of-the-hailey-1-x-2-degree-quadrangle-idaho
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    Dataset updated
    Sep 14, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Idaho
    Description

    This U.S. Geological Survey (USGS) data release provides a digital geospatial database for the geologic map of the Hailey 1 x 2 degree quadrangle, Idaho (Worl and others, 1991). Attribute tables and geospatial features (lines and polygons) conform to the Geologic Map Schema (USGS NCGMP, 2020) and represent the geologic map as published in Idaho Geological Survey Geologic Map 10 (Worl and others, 1991). The database represents the geology for the 4.4-million-acre map plate at a publication scale of 1:250,000. References: Worl, R.G., Kiilsgaard, T.H., Bennett, E.H., Link, P.K., Lewis, R.S., Mitchell, V.E., Johnson, K.M., and Snyder, L.D., 1991, Geologic map of the Hailey 1 x 2 degree quadrangle, Idaho: Idaho Geological Survey, Geologic Map GM-10, scale 1:250,000; https://www.idahogeology.org/Product/GM-10. U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema) - A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org//10.3133/tm11B10.

  5. Climate Change Pressures Growing Degree Days (Map Service)

    • agdatacommons.nal.usda.gov
    • opendata.rcmrd.org
    • +6more
    bin
    Updated Nov 24, 2025
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    U.S. Forest Service (2025). Climate Change Pressures Growing Degree Days (Map Service) [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Climate_Change_Pressures_Growing_Degree_Days_Map_Service_/25974259
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    binAvailable download formats
    Dataset updated
    Nov 24, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    License

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

    Description

    The maps and tables presented here represent potential variability of projected climate change across the conterminous United States during three 30-year periods in this century and emphasizes the importance of evaluating multiple signals of change across large spatial domains. Maps of growing degree days, plant hardiness zones, heat zones, and cumulative drought severity depict the potential for markedly shifting conditions and highlight regions where changes may be multifaceted across these metrics. In addition to the maps, the potential change in these climate variables are summarized in tables according to the seven regions of the fourth National Climate Assessment to provide additional regional context. Viewing these data collectively further emphasizes the potential for novel climatic space under future projections of climate change and signals the wide disparity in these conditions based on relatively near-term human decisions of curtailing (or not) greenhouse gas emissions. More information available at https://www.fs.usda.gov/nrs/pubs/rmap/rmap_nrs9.pdf.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService For complete information, please visit https://data.gov.

  6. Raw 1/10th Degree Data (All)

    • gis-for-secondary-schools-schools-be.hub.arcgis.com
    • climate.esri.ca
    • +17more
    Updated Aug 16, 2022
    + more versions
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    Esri (2022). Raw 1/10th Degree Data (All) [Dataset]. https://gis-for-secondary-schools-schools-be.hub.arcgis.com/datasets/esri2::raw-1-10th-degree-data-all/explore
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    Dataset updated
    Aug 16, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Earth
    Description

    Raw 1/10th Degree Wind Force Probability data for all wind speeds.

  7. a

    Less Than HS Degree

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Sep 22, 2022
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    Timmons@WACOM (2022). Less Than HS Degree [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/3ba0d4c5dc62473bbc3a29de1f735197
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    Dataset updated
    Sep 22, 2022
    Dataset authored and provided by
    Timmons@WACOM
    Area covered
    Description

    This data is used for a broadband mapping initiative conducted by the Washington State Broadband Office. The source dataset has been modified from the existing Digital Divide Index published by Purdue University using Ookla Speedtest® open data for 2020 and the 5-year American Community Survey (ACS) dataset.

  8. Careers With GIS - Patrick Rickles

    • teachwithgis.co.uk
    Updated Mar 31, 2022
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    Esri UK Education (2022). Careers With GIS - Patrick Rickles [Dataset]. https://teachwithgis.co.uk/items/7d9de42f8d7f40688c3116da30c451e0
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    Dataset updated
    Mar 31, 2022
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri UK Education
    Description

    Hi, I'm Patrick,I initially pursued an undergraduate degree in Computer Science because I wanted to make video games; however, after taking an Environmental Science course, I wanted to see if there was a way I could study both. This led me to GIS and I made that my specialism, doing a Masters and later PhD on the subject.

  9. a

    Degree Programs Complete by New Mexico County, 2016

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • supply-chain-data-hub-nmcdc.hub.arcgis.com
    Updated Mar 25, 2022
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    New Mexico Community Data Collaborative (2022). Degree Programs Complete by New Mexico County, 2016 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/707bf05d8b454bcdb6efeef39de63427
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    Dataset updated
    Mar 25, 2022
    Dataset authored and provided by
    New Mexico Community Data Collaborative
    Area covered
    New Mexico
    Description

    The documentation below is in reference to this items placement in the NM Supply Chain Data Hub. The documentation is of use to understanding the source of this item, and how to reproduce it for updatesTitle: Degree Programs Complete by NM County, 2016Item Type: CSVSummary: Degree programs and leveled completed by program type and NM County, 2016Notes: Prepared by: Uploaded by EMcRae_NMCDCSource: New Mexico Dept of Workforce SolutionsFeature Service: https://nmcdc.maps.arcgis.com/home/item.html?id=707bf05d8b454bcdb6efeef39de63427UID: 21Data Requested: Current and projected employment stats for workforce categories across the supply chainMethod of Acquisition: Data is publicly available for download by the NM Dept of Workforce SolutionsDate Acquired: March 2022Priority rank as Identified in 2022 (scale of 1 being the highest priority, to 11 being the lowest priority): 3Tags: PENDING

  10. a

    Degree Programs Complete by New Mexico County, 2019

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Mar 25, 2022
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    New Mexico Community Data Collaborative (2022). Degree Programs Complete by New Mexico County, 2019 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/258185b9b483447495e1071d6a2ec249
    Explore at:
    Dataset updated
    Mar 25, 2022
    Dataset authored and provided by
    New Mexico Community Data Collaborative
    Description

    The documentation below is in reference to this items placement in the NM Supply Chain Data Hub. The documentation is of use to understanding the source of this item, and how to reproduce it for updatesTitle: Degree Programs Complete by NM County, 2019Item Type: CSVSummary: Degree programs and leveled completed by program type and NM County, 2019Notes: Prepared by: Uploaded by EMcRae_NMCDCSource: New Mexico Dept of Workforce SolutionsFeature Service: https://nmcdc.maps.arcgis.com/home/item.html?id=258185b9b483447495e1071d6a2ec249UID: 21Data Requested: Current and projected employment stats for workforce categories across the supply chainMethod of Acquisition: Data is publicly available for download by the NM Dept of Workforce SolutionsDate Acquired: March 2022Priority rank as Identified in 2022 (scale of 1 being the highest priority, to 11 being the lowest priority): 3Tags: PENDING

  11. E

    Fifteen Degree Lat/Long Grid (World Coverage)

    • ecaidata.org
    Updated Oct 4, 2014
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    ECAI Clearinghouse (2014). Fifteen Degree Lat/Long Grid (World Coverage) [Dataset]. https://ecaidata.org/dataset/ecaiclearinghouse-id-209
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    Dataset updated
    Oct 4, 2014
    Dataset provided by
    ECAI Clearinghouse
    Description

    A fifteen degree grid in latitude and longitude covering the entire world

  12. d

    Data from: GIS Data for Geologic and Structure Map of the Choteau 1 x 2...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Nov 21, 2025
    + more versions
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    U.S. Geological Survey (2025). GIS Data for Geologic and Structure Map of the Choteau 1 x 2 Degree Quadrangle, Western Montana [Dataset]. https://catalog.data.gov/dataset/gis-data-for-geologic-and-structure-map-of-the-choteau-1-x-2-degree-quadrangle-western-mon
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    Dataset updated
    Nov 21, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Choteau, Western Montana, Montana
    Description

    The data release for the geologic and structure map of the Choteau 1 x 2 degree quadrangle, western Montana, is a Geologic Map Schema (GeMS)-compliant version that updates the GIS files for the geologic map published in U.S. Geological Survey (USGS) Miscellaneous Investigations Series Map I-1300 (Mudge and others, 2001). The updated digital data present the attribute tables and geospatial features (lines and polygons) in the format that meets GeMS requirements. This data release presents geospatial data for the geologic map that is published as two plates. Minor errors, such as mistakes in line decoration or differences between the digital data and the map image, are corrected in this version. The database represents the geology for the 4.2 million acre, geologically complex Choteau 1 x 2 degree quadrangle, at a publication scale of 1:250,000. The map covers primarily Lewis and Clark, Teton, Powell, Missoula, Lake, and Flathead Counties, but also includes minor parts of Cascade County. These GIS data supersede those in the report: Mudge, M.R., Earhart, R.L., Whipple, J.W., Harrison, J.E., Munts, S.R., and Silkwood, J.T., 2001, Geologic and structure map of the Choteau 1 x 2 degree quadrangle, western Montana: a digital database: U.S. Geological Survey Miscellaneous Investigations Series Map I-1300, version 1.0, 38 p., scale 1:250,000, https://pubs.er.usgs.gov/publication/i1300.

  13. E

    Six Degree Lat/Long Grid (World Coverage)

    • ecaidata.org
    Updated Oct 4, 2014
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    ECAI Clearinghouse (2014). Six Degree Lat/Long Grid (World Coverage) [Dataset]. https://ecaidata.org/en/dataset/groups/ecaiclearinghouse-id-208
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    Dataset updated
    Oct 4, 2014
    Dataset provided by
    ECAI Clearinghouse
    Area covered
    World
    Description

    A six degree grid in latitude and longitude covering the entire world

  14. d

    Demographics

    • datasets.ai
    • catalog.data.gov
    • +4more
    0, 15, 21, 25, 3, 47 +3
    Updated Sep 1, 2022
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    Lake County, Illinois (2022). Demographics [Dataset]. https://datasets.ai/datasets/demographics-0be32
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    25, 3, 57, 8, 21, 15, 0, 53, 47Available download formats
    Dataset updated
    Sep 1, 2022
    Dataset authored and provided by
    Lake County, Illinois
    Description

    Lake County, Illinois Demographic Data. Explanation of field attributes:

    Total Population – The entire population of Lake County.

    White – Individuals who are of Caucasian race. This is a percent.

    African American – Individuals who are of African American race. This is a percent.

    Asian – Individuals who are of Asian race. This is a percent.

    Hispanic – Individuals who are of Hispanic ethnicity. This is a percent.

    Does not Speak English- Individuals who speak a language other than English in their household. This is a percent.

    Under 5 years of age – Individuals who are under 5 years of age. This is a percent.

    Under 18 years of age – Individuals who are under 18 years of age. This is a percent.

    18-64 years of age – Individuals who are between 18 and 64 years of age. This is a percent.

    65 years of age and older – Individuals who are 65 years old or older. This is a percent.

    Male – Individuals who are male in gender. This is a percent.

    Female – Individuals who are female in gender. This is a percent.

    High School Degree – Individuals who have obtained a high school degree. This is a percent.

    Associate Degree – Individuals who have obtained an associate degree. This is a percent.

    Bachelor’s Degree or Higher – Individuals who have obtained a bachelor’s degree or higher. This is a percent.

    Utilizes Food Stamps – Households receiving food stamps/ part of SNAP (Supplemental Nutrition Assistance Program). This is a percent.

    Median Household Income - A median household income refers to the income level earned by a given household where half of the homes in the area earn more and half earn less. This is a dollar amount.

    No High School – Individuals who have not obtained a high school degree. This is a percent.

    Poverty – Poverty refers to families and people whose income in the past 12 months is below the poverty level. This is a percent.

  15. U

    GIS Data for Selected Data from the Geologic Map of the Western Part of the...

    • data.usgs.gov
    • catalog.data.gov
    Updated Mar 22, 2025
    + more versions
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    Jordan Craft; Micah Hernandez (2025). GIS Data for Selected Data from the Geologic Map of the Western Part of the Cut Bank 1 Degree x 2 Degrees Quadrangle, Northwestern Montana [Dataset]. http://doi.org/10.5066/P1TZ826B
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    Dataset updated
    Mar 22, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Jordan Craft; Micah Hernandez
    License

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

    Time period covered
    Mar 21, 2025
    Area covered
    Cut Bank, Montana
    Description

    This U.S. Geological Survey (USGS) data release updates the digital geospatial database for the southern portion of the geologic map of the western part of the Cut Bank 1 degree x 2 degrees quadrangle, northwestern Montana (Harrison and others, 1998). Attribute tables and geospatial features (points, lines, and polygons) conform to the Geologic Map Schema (USGS NCGMP, 2020). The 899,246-acre map area represents the geology at a publication scale of 1:250,000. Minor errors, such as mistakes in line decoration or differences between the digital data and the map image, are corrected, and missing orientation points are included in this version. The map covers primarily Flathead, Glacier, Pondera, and Teton Counties, but also includes minor parts of Lake County. References: Harrison, J.E., Whipple, J.W., and Lidke, 1998, Geologic Map of the Western Part of the Cut Bank 1 degree x 2 degrees quadrangle, Northwestern Montana: U.S. Geological Survey Miscellaneous Investigations Series Map ...

  16. a

    FWS HQ BA Ecosystem Regions

    • gis.data.alaska.gov
    • hub.arcgis.com
    • +1more
    Updated Apr 27, 2017
    + more versions
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    U.S. Fish & Wildlife Service (2017). FWS HQ BA Ecosystem Regions [Dataset]. https://gis.data.alaska.gov/items/f48ddca72a7f433c9ca87e57911385a3
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    Dataset updated
    Apr 27, 2017
    Dataset authored and provided by
    U.S. Fish & Wildlife Service
    Area covered
    Description

    Digital ecosystem information portraying the location and boundaries of the ecosystems. The Service originally chose the U.S. Geological Survey's Hydrologic Unit Map as the foundation for delineating ecosystem unit boundaries on a national scale. Since that time, boundaries in some of the regions have been moved to the closest county boundaries to simplify management responsibilities. The current unit boundaries reflect this combination.Data Set Contact: U.S. Fish and Wildlife Service Natural Resource Program Center, GIS Team Lead, richard_easterbrook@fws.gov

  17. Regression analysis for the degree of human impact.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Linda See; Alexis Comber; Carl Salk; Steffen Fritz; Marijn van der Velde; Christoph Perger; Christian Schill; Ian McCallum; Florian Kraxner; Michael Obersteiner (2023). Regression analysis for the degree of human impact. [Dataset]. http://doi.org/10.1371/journal.pone.0069958.t006
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Linda See; Alexis Comber; Carl Salk; Steffen Fritz; Marijn van der Velde; Christoph Perger; Christian Schill; Ian McCallum; Florian Kraxner; Michael Obersteiner
    License

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

    Description

    Regression analysis for the degree of human impact.

  18. m

    Massachusetts Gateway Cities

    • gis.data.mass.gov
    • geo-massdot.opendata.arcgis.com
    • +2more
    Updated May 24, 2023
    + more versions
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    MassGIS - Bureau of Geographic Information (2023). Massachusetts Gateway Cities [Dataset]. https://gis.data.mass.gov/maps/massgis::massachusetts-gateway-cities-1/about?path=
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    Dataset updated
    May 24, 2023
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    This map service from MassGIS displays the 26 Massachusetts Gateway Cities, municipalities with:population greater than 35,000 and less than 250,000;median household income below the state average;and rate of educational attainment of a bachelor’s degree or above that is below the state average.Read more about Gateway CitiesFeature service also available.

  19. Which spatial dataset format should I use?

    • geoportal.statistics.gov.uk
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Jan 19, 2024
    + more versions
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    Office for National Statistics (2024). Which spatial dataset format should I use? [Dataset]. https://geoportal.statistics.gov.uk/items/6093e9d02068407db33c959f9ec7d15e
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    Dataset updated
    Jan 19, 2024
    Dataset authored and provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences

    Description

    A .docx and .odt showing what the different acronyms mean for BFE, BFC, BGC, BSC, BUC, GRE, BGG.

  20. Consistency of response to degree of human impact.

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    Linda See; Alexis Comber; Carl Salk; Steffen Fritz; Marijn van der Velde; Christoph Perger; Christian Schill; Ian McCallum; Florian Kraxner; Michael Obersteiner (2023). Consistency of response to degree of human impact. [Dataset]. http://doi.org/10.1371/journal.pone.0069958.t007
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Linda See; Alexis Comber; Carl Salk; Steffen Fritz; Marijn van der Velde; Christoph Perger; Christian Schill; Ian McCallum; Florian Kraxner; Michael Obersteiner
    License

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

    Description

    Consistency of response to degree of human impact.

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Santa Clara County Public Health (2022). Less Than Bachelors' Education GIS [Dataset]. https://data-sccphd.opendata.arcgis.com/datasets/less-than-bachelors-education-gis
Organization logo

Less Than Bachelors' Education GIS

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Dataset updated
Aug 24, 2022
Dataset provided by
Santa Clara County Public Health Departmenthttps://publichealth.sccgov.org/
Authors
Santa Clara County Public Health
License

MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically

Description

Table contains count and percent of county residents ages 25 years and older with less than bachelors' education attainment. The measure is summarized at county, city, zip code and census tract. Data are presented for zip codes (ZCTAs) fully within the county. Source: U.S. Census Bureau, 2016-2020 American Community Survey 5-year estimates, Table B15002; data accessed on May 17, 2022 from https://api.census.gov. The 2020 Decennial geographies are used for data summarization.METADATA:notes (String): Lists table title, notes, sourcesgeolevel (String): Level of geographyGEOID (Numeric): Geography IDNAME (String): Name of geographypop (Numeric): Population ages 25 and olderpct_lt_bach (Numeric): Number of people ages 25 and older with less than bachelors' educationlt_bachelor (Numeric): Percent of people ages 25 and older with less than bachelors' education

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