100+ datasets found
  1. e

    GIS for agriculture education programs

    • gisinschools.eagle.co.nz
    Updated May 11, 2020
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    GIS in Schools - Teaching Materials - New Zealand (2020). GIS for agriculture education programs [Dataset]. https://gisinschools.eagle.co.nz/documents/01a255bf473848f3852655bbf30be442
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    Dataset updated
    May 11, 2020
    Dataset authored and provided by
    GIS in Schools - Teaching Materials - New Zealand
    Description

    Explore the content in this pathway to see the role of GIS in agriculture education. Understand the opportunities that GIS opens for students in the career cluster for agriculture, food, and natural resources.

  2. Colleges and Universities

    • geodata.colorado.gov
    • sdgs.amerigeoss.org
    • +9more
    Updated Aug 27, 2020
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    Esri U.S. Federal Datasets (2020). Colleges and Universities [Dataset]. https://geodata.colorado.gov/datasets/d257743c055e4206bd8a0f2d14af69fe
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    Dataset updated
    Aug 27, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    Area covered
    Description

    Colleges and Universities This feature layer, utilizing data from the National Center for Education Statistics (NCES), displays colleges and universities in the U.S. and its territories. NCES uses the Integrated Postsecondary Education Data System (IPEDS) as the "primary source for information on U.S. colleges, universities, and technical and vocational institutions." According to NCES, this layer "contains directory information for every institution in the 2023-24 IPEDS universe. Includes name, address, city, state, zip code and various URL links to the institution"s home page, admissions, financial aid offices and the net price calculator. Identifies institutions as currently active, and institutions that participate in Title IV federal financial aid programs for which IPEDS is mandatory." University of the District of ColumbiaData currency: 2023Data source: IPEDS Complete Data FilesData modification: Removed fields with coded values and replaced with descriptionsFor more information: Integrated Postsecondary Education Data SystemSupport documentation: Data DictionaryFor feedback, please contact: ArcGIScomNationalMaps@esri.com U.S. Department of Education (ED) Per ED, The mission of the Department of Education (ED) is to promote student achievement and preparation for global competitiveness by fostering educational excellence and ensuring equal access for students of all ages.

  3. M

    School Program Locations, Minnesota, SY2025-26

    • gisdata.mn.gov
    ags_mapserver, csv +5
    Updated Nov 19, 2025
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    Education Department (2025). School Program Locations, Minnesota, SY2025-26 [Dataset]. https://gisdata.mn.gov/dataset/struc-school-program-locs
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    csv, shp, fgdb, html, gpkg, jpeg, ags_mapserverAvailable download formats
    Dataset updated
    Nov 19, 2025
    Dataset provided by
    Education Department
    Area covered
    Minnesota
    Description

    This dataset attempts to represent the point locations of every educational program in the state of Minnesota that is currently operational and reporting to the Minnesota Department of Education. It can be used to identify schools, various individual school programs, school districts (by office location), colleges, and libraries, among other programs. Please note that not all school programs are statutorily required to report, and many types of programs can be reported at any time of the year, so this dataset is by nature an incomplete snapshot in time.

    Maintenance of these locations is a result of an ongoing project to identify current school program locations where Food and Nutrition Services Office (FNS) programs are utilized. The FNS Office is in the Minnesota Department of Education (MDE). GIS staff at MDE maintain the dataset using school program and physical addresses provided by local education authorities (LEAs) for an MDE database called "MDE ORG". MDE GIS staff track weekly changes to program locations, along with comprehensive reviews each summer. All records have been reviewed for accuracy or edited at least once since January 1, 2020.

    Note that there may remain errors due to the number of program locations and inconsistency in reporting from LEAs and other organizations. Some organization types (such as colleges and treatment programs) are not subject to annual reporting requirements, so various records included in this file may in fact be inactive or inaccurately located.

    Note that multiple programs may occur at the same location and are represented as separate records. For example, an elementary and secondary school may be in the same building, but each has a separate record in the data layer. Users may leverage the "CLASS" and "ORGTYPE" attributes to filter and sort records according to their needs. In general, records at the same physical address will be located at the same coordinates.

    This data is also available in CSV format. For that format only, OBJECTID and Shape columns are removed, and the Shape column is replaced by Latitude and Longitude columns.

  4. BOGS Training Metrics

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Sep 11, 2025
    + more versions
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    Bureau of Indian Affairs (2025). BOGS Training Metrics [Dataset]. https://catalog.data.gov/dataset/bogs-training-metrics
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    Dataset updated
    Sep 11, 2025
    Dataset provided by
    Bureau of Indian Affairshttp://www.bia.gov/
    Description

    Through the Department of the Interior-Bureau of Indian Affairs Enterprise License Agreement (DOI-BIA ELA) program, BIA employees and employees of federally-recognized Tribes may access a variety of geographic information systems (GIS) online courses and instructor-led training events throughout the year at no cost to them. These online GIS courses and instructor-led training events are hosted by the Branch of Geospatial Support (BOGS) or offered by BOGS in partnership with other organizations and federal agencies. Online courses are self-paced and available year-round, while instructor-led training events have limited capacity and require registration and attendance on specific dates. This dataset does not any training where the course was not completed by the participant or where training was cancelled or otherwise not able to be completed. Point locations depict BIA Office locations or Tribal Office Headquarters. For completed trainings where a participant location was not provided a point locations may not be available. For more information on the Branch of Geospatial Support Geospatial training program, please visit:https://www.bia.gov/service/geospatial-training.

  5. Open Source GIS Training for Improved Protected Area Planning and Management...

    • solomonislands-data.sprep.org
    • pacific-data.sprep.org
    pdf, zip
    Updated Feb 15, 2022
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    Bradley Eichelberger, SPREP PIPAP GIS Consultant (2022). Open Source GIS Training for Improved Protected Area Planning and Management in the Solomon Islands [Dataset]. https://solomonislands-data.sprep.org/dataset/open-source-gis-training-improved-protected-area-planning-and-management-solomon-islands
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    zip(702782472), pdf(3669473), pdf(969719), pdf(5434848)Available download formats
    Dataset updated
    Feb 15, 2022
    Dataset provided by
    Pacific Regional Environment Programmehttps://www.sprep.org/
    Authors
    Bradley Eichelberger, SPREP PIPAP GIS Consultant
    License

    Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
    License information was derived automatically

    Area covered
    Solomon Islands, POLYGON ((155.35629272461 -12.561265715616, 155.35629272461 -4.0464671937446, 168.10043334961 -12.561265715616)), 168.10043334961 -4.0464671937446
    Description

    Dataset contains training material on using open source Geographic Information Systems (GIS) to improve protected area planning and management from a workshop that was conducted on October 19-23, 2020. Specifically, the dataset contains lectures on GIS fundamentals, QGIS 3.x, and global positioning system (GPS), as well as country-specific datasets and a workbook containing exercises for viewing data, editing/creating datasets, and creating map products in QGIS. Supplemental videos that narrate a step-by-step recap and overview of these processes are found in the Related Content section of this dataset.

    Funding for this workshop and material was funded by the Biodiversity and Protected Areas Management (BIOPAMA) programme. The BIOPAMA programme is an initiative of the Organisation of African, Caribbean and Pacific (ACP) Group of States financed by the European Union's 11th European Development Fund. BIOPAMA is jointly implemented by the International Union for Conservation of Nature {IUCN) and the Joint Research Centre of the European Commission (EC-JRC). In the Pacific region, BIOPAMA is implemented by IUCN's Oceania Regional Office (IUCN ORO) in partnership with the Secretariat of the Pacific Regional Environment Programme (SPREP). The overall objective of the BIOPAMA programme is to contribute to improving the long-term conservation and sustainable use of biodiversity and natural resources in the Pacific ACP region in protected areas and surrounding communities through better use and monitoring of information and capacity development on management and governance.

  6. Open Source GIS Training for Improved Protected Area Planning and Management...

    • samoa-data.sprep.org
    • pacific-data.sprep.org
    pdf, zip
    Updated Feb 15, 2022
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    Bradley Eichelberger, SPREP PIPAP GIS Consultant (2022). Open Source GIS Training for Improved Protected Area Planning and Management in Samoa [Dataset]. https://samoa-data.sprep.org/dataset/open-source-gis-training-improved-protected-area-planning-and-management-samoa
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    pdf(1016525), zip(791238585), pdf(4922394), pdf(3655929)Available download formats
    Dataset updated
    Feb 15, 2022
    Dataset provided by
    Pacific Regional Environment Programmehttps://www.sprep.org/
    Authors
    Bradley Eichelberger, SPREP PIPAP GIS Consultant
    License

    Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
    License information was derived automatically

    Area covered
    Samoa, POLYGON ((186.75230026245 -14.517952072974, 188.90562057495 -14.517952072974)), 186.75230026245 -13.120440826626, 188.90562057495 -13.120440826626
    Description

    Dataset contains training material on using open source Geographic Information Systems (GIS) to improve protected area planning and management from workshops that were conducted on February 19-21 and October 6-7, 2020. Specifically, the dataset contains lectures on GIS fundamentals, QGIS 3.x, and global positioning system (GPS), as well as country-specific datasets and a workbook containing exercises for viewing data, editing/creating datasets, and creating map products in QGIS. Supplemental videos that narrate a step-by-step recap and overview of these processes are found in the Related Content section of this dataset.

    Funding for this workshop and material was funded by the Biodiversity and Protected Areas Management (BIOPAMA) programme. The BIOPAMA programme is an initiative of the Organisation of African, Caribbean and Pacific (ACP) Group of States financed by the European Union's 11th European Development Fund. BIOPAMA is jointly implemented by the International Union for Conservation of Nature {IUCN) and the Joint Research Centre of the European Commission (EC-JRC). In the Pacific region, BIOPAMA is implemented by IUCN's Oceania Regional Office (IUCN ORO) in partnership with the Secretariat of the Pacific Regional Environment Programme (SPREP). The overall objective of the BIOPAMA programme is to contribute to improving the long-term conservation and sustainable use of biodiversity and natural resources in the Pacific ACP region in protected areas and surrounding communities through better use and monitoring of information and capacity development on management and governance.

  7. Socio-Environmental Science Investigations Using the Geospatial Curriculum...

    • icpsr.umich.edu
    Updated Oct 17, 2022
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    Bodzin, Alec M.; Anastasio, David J.; Hammond, Thomas C.; Popejoy, Kate; Holland, Breena (2022). Socio-Environmental Science Investigations Using the Geospatial Curriculum Approach with Web Geospatial Information Systems, Pennsylvania, 2016-2020 [Dataset]. http://doi.org/10.3886/ICPSR38181.v1
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    Dataset updated
    Oct 17, 2022
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Bodzin, Alec M.; Anastasio, David J.; Hammond, Thomas C.; Popejoy, Kate; Holland, Breena
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/38181/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38181/terms

    Time period covered
    Sep 1, 2016 - Aug 31, 2020
    Area covered
    Pennsylvania
    Description

    This Innovative Technology Experiences for Students and Teachers (ITEST) project has developed, implemented, and evaluated a series of innovative Socio-Environmental Science Investigations (SESI) using a geospatial curriculum approach. It is targeted for economically disadvantaged 9th grade high school students in Allentown, PA, and involves hands-on geospatial technology to help develop STEM-related skills. SESI focuses on societal issues related to environmental science. These issues are multi-disciplinary, involve decision-making that is based on the analysis of merged scientific and sociological data, and have direct implications for the social agency and equity milieu faced by these and other school students. This project employed a design partnership between Lehigh University natural science, social science, and education professors, high school science and social studies teachers, and STEM professionals in the local community to develop geospatial investigations with Web-based Geographic Information Systems (GIS). These were designed to provide students with geospatial skills, career awareness, and motivation to pursue appropriate education pathways for STEM-related occupations, in addition to building a more geographically and scientifically literate citizenry. The learning activities provide opportunities for students to collaborate, seek evidence, problem-solve, master technology, develop geospatial thinking and reasoning skills, and practice communication skills that are essential for the STEM workplace and beyond. Despite the accelerating growth in geospatial industries and congruence across STEM, few school-based programs integrate geospatial technology within their curricula, and even fewer are designed to promote interest and aspiration in the STEM-related occupations that will maintain American prominence in science and technology. The SESI project is based on a transformative curriculum approach for geospatial learning using Web GIS to develop STEM-related skills and promote STEM-related career interest in students who are traditionally underrepresented in STEM-related fields. This project attends to a significant challenge in STEM education: the recognized deficiency in quality locally-based and relevant high school curriculum for under-represented students that focuses on local social issues related to the environment. Environmental issues have great societal relevance, and because many environmental problems have a disproportionate impact on underrepresented and disadvantaged groups, they provide a compelling subject of study for students from these groups in developing STEM-related skills. Once piloted in the relatively challenging environment of an urban school with many unengaged learners, the results will be readily transferable to any school district to enhance geospatial reasoning skills nationally.

  8. Virtualization of ArcGIS to support Higher Education

    • coronavirus-resources.esri.com
    Updated May 4, 2020
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    Esri’s Disaster Response Program (2020). Virtualization of ArcGIS to support Higher Education [Dataset]. https://coronavirus-resources.esri.com/documents/ae89d55cc51446089f9143c91e320309
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    Dataset updated
    May 4, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri’s Disaster Response Program
    Description

    The coronavirus (COVID-19) is causing many universities and colleges to virtualize their classes. Schools that have not considered or postponed a decision to virtualize their GIS classes using ArcGIS Pro and ArcMap are revaluating their options. Those that have experimented with virtualizing ArcGIS Pro are seriously considering how to expand their virtualized offering._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

  9. G

    QGIS Training Tutorials: Using Spatial Data in Geographic Information...

    • open.canada.ca
    • datasets.ai
    • +1more
    html
    Updated Oct 5, 2021
    + more versions
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    Statistics Canada (2021). QGIS Training Tutorials: Using Spatial Data in Geographic Information Systems [Dataset]. https://open.canada.ca/data/en/dataset/89be0c73-6f1f-40b7-b034-323cb40b8eff
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Oct 5, 2021
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Have you ever wanted to create your own maps, or integrate and visualize spatial datasets to examine changes in trends between locations and over time? Follow along with these training tutorials on QGIS, an open source geographic information system (GIS) and learn key concepts, procedures and skills for performing common GIS tasks – such as creating maps, as well as joining, overlaying and visualizing spatial datasets. These tutorials are geared towards new GIS users. We’ll start with foundational concepts, and build towards more advanced topics throughout – demonstrating how with a few relatively easy steps you can get quite a lot out of GIS. You can then extend these skills to datasets of thematic relevance to you in addressing tasks faced in your day-to-day work.

  10. H

    Golf Courses

    • opendata.hawaii.gov
    • geoportal.hawaii.gov
    • +2more
    Updated Sep 29, 2023
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    Office of Planning (2023). Golf Courses [Dataset]. https://opendata.hawaii.gov/dataset/golf-courses
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    ogc wms, ogc wfs, csv, zip, html, kml, arcgis geoservices rest api, pdf, geojsonAvailable download formats
    Dataset updated
    Sep 29, 2023
    Dataset provided by
    Hawaii Statewide GIS Program
    Authors
    Office of Planning
    Description
    [Metadata] Locations of golf courses in the State of Hawaii as of August 2023.
    Source: Downloaded by Hawaii Statewide GIS Program staff from Hawaii State Golf Association website (https://hawaiistategolf.org), 8/8/23. NOTE: This data layer shows the status of golf courses BEFORE THE MAUI WILDFIRES OF AUGUST 2023. Geocoded using Esri's World Geocoder. Modified some locations based on satellite imagery, various road layers, etc.

    For more information, please see metadata at https://files.hawaii.gov/dbedt/op/gis/data/golf_courses.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.
  11. Open Source GIS Training for Improved Protected Area Planning and Management...

    • rmi-data.sprep.org
    • pacific-data.sprep.org
    pdf, zip
    Updated Nov 2, 2022
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    Bradley Eichelberger, SPREP PIPAP GIS Consultant (2022). Open Source GIS Training for Improved Protected Area Planning and Management in the Republic of the Marshall Islands [Dataset]. https://rmi-data.sprep.org/dataset/open-source-gis-training-improved-protected-area-planning-and-management-republic-marshall
    Explore at:
    pdf(5213196), pdf(1167275), zip(151511128), pdf(3658659)Available download formats
    Dataset updated
    Nov 2, 2022
    Dataset provided by
    Pacific Regional Environment Programmehttps://www.sprep.org/
    Authors
    Bradley Eichelberger, SPREP PIPAP GIS Consultant
    License

    Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
    License information was derived automatically

    Area covered
    Marshall Islands, 176.18637084961 3.4531078732957)), 159.92660522461 16.662506225635, POLYGON ((159.92660522461 3.4531078732957, 176.18637084961 16.662506225635
    Description

    Dataset contains training material on using open source Geographic Information Systems (GIS) to improve protected area planning and management from a workshop that was conducted on August 17-21, 2020. Specifically, the dataset contains lectures on GIS fundamentals, QGIS 3.x, and global positioning system (GPS), as well as country-specific datasets and a workbook containing exercises for viewing data, editing/creating datasets, and creating map products in QGIS. Supplemental videos that narrate a step-by-step recap and overview of these processes are found in the Related Content section of this dataset.

    Funding for this workshop and material was funded by the Biodiversity and Protected Areas Management (BIOPAMA) programme. The BIOPAMA programme is an initiative of the Organisation of African, Caribbean and Pacific (ACP) Group of States financed by the European Union's 11th European Development Fund. BIOPAMA is jointly implemented by the International Union for Conservation of Nature {IUCN) and the Joint Research Centre of the European Commission (EC-JRC). In the Pacific region, BIOPAMA is implemented by IUCN's Oceania Regional Office (IUCN ORO) in partnership with the Secretariat of the Pacific Regional Environment Programme (SPREP). The overall objective of the BIOPAMA programme is to contribute to improving the long-term conservation and sustainable use of biodiversity and natural resources in the Pacific ACP region in protected areas and surrounding communities through better use and monitoring of information and capacity development on management and governance.

  12. a

    Colleges

    • data-oswegogis.hub.arcgis.com
    • opdgig.dos.ny.gov
    • +2more
    Updated May 16, 2022
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    Oswego County GIS (2022). Colleges [Dataset]. https://data-oswegogis.hub.arcgis.com/datasets/colleges
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    Dataset updated
    May 16, 2022
    Dataset authored and provided by
    Oswego County GIS
    Area covered
    Description

    NYS Colleges and Universities including SUNY, CUNY, independent, military, nursing, and proprietary institutions.

  13. C

    Golf Courses

    • phoenixopendata.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +2more
    Updated Apr 30, 2025
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    Enterprise (2025). Golf Courses [Dataset]. https://www.phoenixopendata.com/dataset/golf-courses
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    arcgis geoservices rest api, html, csv, geojson, kml, zipAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset provided by
    City of Phoenix
    Authors
    Enterprise
    License

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

    Description

    Phoenix Golf Features:

    • Five 18-hole championship courses

    • Three 9-hole courses

    • Conveniently located throughout the city

    • Overseeded annually for optimum playing conditions

    • Full-service golf shops and restaurants

    • Full amenity practice facilities

    • Equipment rentals

    • PGA/LPGA professional course managers

  14. Dataset VU Angewandte GIS Grundlagen

    • figshare.com
    application/gzip
    Updated Jun 2, 2023
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    Stefan Kasberger (2023). Dataset VU Angewandte GIS Grundlagen [Dataset]. http://doi.org/10.6084/m9.figshare.1003793.v1
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    application/gzipAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Stefan Kasberger
    License

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

    Description
  15. S

    Index to CT State Board of Education & State Department of Education,...

    • splitgraph.com
    • data.ct.gov
    • +2more
    Updated Jul 22, 2024
    + more versions
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    internal-ct-data-socrata (2024). Index to CT State Board of Education & State Department of Education, Curriculum Laboratory Bulletins 1940-1948 [Dataset]. https://www.splitgraph.com/internal-ct-data-socrata/index-to-ct-state-board-of-education-state-2yzz-vuaf/
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    application/vnd.splitgraph.image, json, application/openapi+jsonAvailable download formats
    Dataset updated
    Jul 22, 2024
    Authors
    internal-ct-data-socrata
    Area covered
    Connecticut
    Description

    Conn Doc Ed83cu

    To access dataset select the "Data" tab. To view original files please contact the Connecticut State Library at 860-757-6500.

    The Connecticut State Library has a collection of Curriculum Laboratory bulletins produced by the Connecticut State Board of Education and the State Department of Education. These bulletins start in 1940 and run through the 1948 school year.

    This index lists the bulletin number, year and month, title and author if indicated.

    Visit the State Agency Profiles page for State Department of Education statutory authority, agency history, published history and articles, agency documents and list of commissioners.

    Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

    See the Splitgraph documentation for more information.

  16. A

    Non Public Schools

    • data.boston.gov
    • cloudcity.ogopendata.com
    • +3more
    Updated Dec 18, 2023
    + more versions
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    Boston Maps (2023). Non Public Schools [Dataset]. https://data.boston.gov/dataset/non-public-schools
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    arcgis geoservices rest api, csv, html, shp, geojson, kmlAvailable download formats
    Dataset updated
    Dec 18, 2023
    Dataset authored and provided by
    Boston Maps
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    This point datalayer shows the locations of schools in Massachusetts. Schools appearing in this layer are those attended by students in pre-kindergarten through high school. Categories of schools include public, private, charter, collaborative programs, and approved special education. This data was originally developed by the Massachusetts Department of Environmental Protection’s (DEP) GIS Program based on database information provided by the Massachusetts Department of Education (DOE). The update published on April 17th, 2009 was based on listings MassGIS obtained from the DOE as of February 9th, 2009. The layer is stored in ArcSDE and distributed as SCHOOLS_PT. Only schools located in Massachusetts are included in this layer. The DOE also provides a listing of out-of-state schools open to Massachusetts' residents, particularly for those with special learning requirements. Please see http://profiles.doe.mass.edu/outofstate.asp for details. Updated September 2018.

  17. School Program Locations, Minnesota, SY2024-25

    • gisdata.mn.gov
    ags_mapserver, csv +5
    Updated Nov 6, 2024
    + more versions
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    Education Department (2024). School Program Locations, Minnesota, SY2024-25 [Dataset]. https://gisdata.mn.gov/bg/dataset/struc-school-program-locs
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    jpeg, html, shp, fgdb, gpkg, csv, ags_mapserverAvailable download formats
    Dataset updated
    Nov 6, 2024
    Dataset provided by
    United States Department of Educationhttps://ed.gov/
    Area covered
    Minnesota
    Description

    This dataset attempts to represent the point locations of every educational program in the state of Minnesota that is currently operational and reporting to the Minnesota Department of Education. It can be used to identify schools, various individual school programs, school districts (by office location), colleges, and libraries, among other programs. Please note that not all school programs are statutorily required to report, and many types of programs can be reported at any time of the year, so this dataset is by nature an incomplete snapshot in time.

    Maintenance of these locations are a result of an ongoing project to identify current school program locations where Food and Nutrition Services Office (FNS) programs are utilized. The FNS Office is in the Minnesota Department of Education (MDE). GIS staff at MDE maintain the dataset using school program and physical addresses provided by local education authorities (LEAs) for an MDE database called "MDE ORG". MDE GIS staff track weekly changes to program locations, along with comprehensive reviews each summer. All records have been reviewed for accuracy or edited at least once since January 1, 2020.

    Note that there may remain errors due to the number of program locations and inconsistency in reporting from LEAs and other organizations. In particular, some organization types (such as colleges and treatment programs) are not subject to annual reporting requirements, so some records included in this file may in fact be inactive or inaccurately located.

    Note that multiple programs may occur at the same location and are represented as separate records. For example, a junior and a senior high school may be in the same building, but each has a separate record in the data layer. Users leverage the "CLASS" and "ORGTYPE" attributes to filter and sort records according to their needs. In general, records at the same physical address will be located at the same coordinates.

    This data is now available in CSV format. For that format only, OBJECTID and Shape columns are removed, and the Shape column is replaced by Latitude and Longitude columns.

  18. D

    Education - Seattle Neighborhoods

    • data.seattle.gov
    • data-seattlecitygis.opendata.arcgis.com
    • +1more
    csv, xlsx, xml
    Updated Oct 22, 2024
    + more versions
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    (2024). Education - Seattle Neighborhoods [Dataset]. https://data.seattle.gov/dataset/Education-Seattle-Neighborhoods/vuww-ynb6
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    xml, csv, xlsxAvailable download formats
    Dataset updated
    Oct 22, 2024
    Area covered
    Seattle
    Description

    Table from the American Community Survey (ACS) 5-year series on education enrollment and attainment related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B14007/B14002 School Enrollment, B15003 Educational Attainment. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.


    Table created for and used in the Neighborhood Profiles application.

    Vintages: 2023
    ACS Table(s): B14007, B15003, B14002


    The United States Census Bureau's American Community Survey (ACS):
    This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.

    Data Note from the Census:
    Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.

    Data Processing Notes:
    • Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb(year)a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).
    • The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico
    • Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).
    • Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications <a

  19. d

    Seattle Parks and Recreation GIS Map Layer Web Services URL - Golf Courses

    • catalog.data.gov
    • cos-data.seattle.gov
    • +2more
    Updated Jan 31, 2025
    + more versions
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    data.seattle.gov (2025). Seattle Parks and Recreation GIS Map Layer Web Services URL - Golf Courses [Dataset]. https://catalog.data.gov/dataset/seattle-parks-and-recreation-gis-map-layer-web-services-url-golf-courses-5cda6
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    Dataset updated
    Jan 31, 2025
    Dataset provided by
    data.seattle.gov
    Area covered
    Seattle
    Description

    Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Golf Courses dataset.

  20. d

    Golf Courses

    • catalog.data.gov
    • opendata.dc.gov
    • +1more
    Updated Feb 5, 2025
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    D.C. Office of the Chief Technology Officer (2025). Golf Courses [Dataset]. https://catalog.data.gov/dataset/golf-courses-1a3c0
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    D.C. Office of the Chief Technology Officer
    Description

    The dataset contains locations and attributes of Golf Courses, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies.

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GIS in Schools - Teaching Materials - New Zealand (2020). GIS for agriculture education programs [Dataset]. https://gisinschools.eagle.co.nz/documents/01a255bf473848f3852655bbf30be442

GIS for agriculture education programs

Explore at:
Dataset updated
May 11, 2020
Dataset authored and provided by
GIS in Schools - Teaching Materials - New Zealand
Description

Explore the content in this pathway to see the role of GIS in agriculture education. Understand the opportunities that GIS opens for students in the career cluster for agriculture, food, and natural resources.

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