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3,203 datasets for “Remote”

  1. Humanitarian Data Exchange

    Railways of Bolivia

    Humanitarian OpenStreetMap Team (HOT)Updated 9 Oct 2026

    … Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field …

    • GEOJSON
    • GEOPACKAGE
    • GEOPARQUET
    • KML
    • SHP
    • JSON
    • +2
  2. Humanitarian Data Exchange

    Railways of Mozambique

    Humanitarian OpenStreetMap Team (HOT)Updated 3 Nov 2026

    … Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field …

    • GEOJSON
    • GEOPACKAGE
    • GEOPARQUET
    • KML
    • SHP
    • JSON
    • +2
  3. Humanitarian Data Exchange

    Railways of Zimbabwe

    Humanitarian OpenStreetMap Team (HOT)Updated 5 Nov 2026

    … Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field …

    • GEOJSON
    • GEOPACKAGE
    • GEOPARQUET
    • KML
    • SHP
    • JSON
    • +2
  4. Humanitarian Data Exchange

    Railways of Malawi

    Humanitarian OpenStreetMap Team (HOT)Updated 5 Nov 2026

    … Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field …

    • GEOJSON
    • GEOPACKAGE
    • GEOPARQUET
    • KML
    • SHP
    • JSON
    • +2
  5. Humanitarian Data Exchange

    Railways of Peru

    Humanitarian OpenStreetMap Team (HOT)Updated 14 Oct 2026

    … Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field …

    • GEOJSON
    • GEOPACKAGE
    • GEOPARQUET
    • KML
    • SHP
    • JSON
    • +2
  6. Humanitarian Data Exchange

    Railways of Cuba

    Humanitarian OpenStreetMap Team (HOT)Updated 5 Nov 2026

    … Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field …

    • GEOJSON
    • GEOPACKAGE
    • GEOPARQUET
    • KML
    • SHP
    • JSON
    • +2
  7. Humanitarian Data Exchange

    Railways of Laos

    Humanitarian OpenStreetMap Team (HOT)Updated 5 Nov 2026

    … Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field …

    • GEOJSON
    • GEOPACKAGE
    • GEOPARQUET
    • KML
    • SHP
    • JSON
    • +2
  8. Humanitarian Data Exchange

    Railways of Nigeria

    Humanitarian OpenStreetMap Team (HOT)Updated 3 Nov 2026

    … Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field …

    • GEOJSON
    • GEOPACKAGE
    • GEOPARQUET
    • KML
    • SHP
    • JSON
    • +2
  9. Humanitarian Data Exchange

    Railways of Tanzania

    Humanitarian OpenStreetMap Team (HOT)Updated 5 Nov 2026

    … Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field …

    • GEOJSON
    • GEOPACKAGE
    • GEOPARQUET
    • KML
    • SHP
    • JSON
    • +2
  10. Humanitarian Data Exchange

    Railways of Syria

    Humanitarian OpenStreetMap Team (HOT)Updated 3 Nov 2026

    … Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field …

    • GEOJSON
    • GEOPACKAGE
    • GEOPARQUET
    • KML
    • SHP
    • JSON
    • +2
  11. Humanitarian Data Exchange

    Railways of Colombia

    Humanitarian OpenStreetMap Team (HOT)Updated 3 Nov 2026

    … Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field …

    • GEOJSON
    • GEOPACKAGE
    • GEOPARQUET
    • KML
    • SHP
    • JSON
    • +2
  12. Humanitarian Data Exchange

    Railways of Australia

    Humanitarian OpenStreetMap Team (HOT)Updated 9 Oct 2026

    … Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field …

    • GEOJSON
    • GEOPACKAGE
    • GEOPARQUET
    • KML
    • SHP
    • JSON
    • +2
  13. Humanitarian Data Exchange

    Railways of Taiwan

    Humanitarian OpenStreetMap Team (HOT)Updated 5 Nov 2026

    … Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field …

    • GEOJSON
    • GEOPACKAGE
    • GEOPARQUET
    • KML
    • SHP
    • JSON
    • +2
  14. Humanitarian Data Exchange

    Railways of Belgium

    Humanitarian OpenStreetMap Team (HOT)Updated 3 Nov 2026

    … Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field …

    • GEOJSON
    • GEOPACKAGE
    • GEOPARQUET
    • KML
    • SHP
    • JSON
    • +2
  15. Humanitarian Data Exchange

    Railways of Luxembourg

    Humanitarian OpenStreetMap Team (HOT)Updated 5 Nov 2026

    … Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field …

    • GEOJSON
    • GEOPACKAGE
    • GEOPARQUET
    • KML
    • SHP
    • JSON
    • +2
  16. Humanitarian Data Exchange

    Railways of Slovenia

    Humanitarian OpenStreetMap Team (HOT)Updated 5 Nov 2026

    … Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field …

    • GEOJSON
    • GEOPACKAGE
    • GEOPARQUET
    • KML
    • SHP
    • JSON
    • +2
  17. Humanitarian Data Exchange

    Railways of Lithuania

    Humanitarian OpenStreetMap Team (HOT)Updated 5 Nov 2026

    … Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field …

    • GEOJSON
    • GEOPACKAGE
    • GEOPARQUET
    • KML
    • SHP
    • JSON
    • +2
  18. Humanitarian Data Exchange

    Railways of Latvia

    Humanitarian OpenStreetMap Team (HOT)Updated 5 Nov 2026

    … Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field …

    • GEOJSON
    • GEOPACKAGE
    • GEOPARQUET
    • KML
    • SHP
    • JSON
    • +2
  19. Humanitarian Data Exchange

    Railways of Mauritius

    Humanitarian OpenStreetMap Team (HOT)Updated 5 Nov 2026

    … Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field …

    • GEOJSON
    • GEOPACKAGE
    • GEOPARQUET
    • KML
    • SHP
    • JSON
    • +2
  20. Humanitarian Data Exchange

    Railways of Ireland

    Humanitarian OpenStreetMap Team (HOT)Updated 5 Nov 2026

    … Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field …

    • GEOJSON
    • GEOPACKAGE
    • GEOPARQUET
    • KML
    • SHP
    • JSON
    • +2
“Remote” datasets · Open Data Finder