4 datasets found
  1. India openstreetmap dataset

    • kaggle.com
    zip
    Updated May 25, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Omkar Salunke (2024). India openstreetmap dataset [Dataset]. https://www.kaggle.com/datasets/omkarmb/india-openstreetmap-dataset
    Explore at:
    zip(176118090 bytes)Available download formats
    Dataset updated
    May 25, 2024
    Authors
    Omkar Salunke
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    India
    Description

    Dataset

    This dataset was created by Omkar Salunke

    Released under Apache 2.0

    Contents

  2. Buildings & Amenities All Around India

    • kaggle.com
    zip
    Updated Jan 7, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jyotsna Sweedle (2021). Buildings & Amenities All Around India [Dataset]. https://www.kaggle.com/datasets/jyotsnasweedle/buildings-amenities-all-over-india
    Explore at:
    zip(47819965 bytes)Available download formats
    Dataset updated
    Jan 7, 2021
    Authors
    Jyotsna Sweedle
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    India
    Description

    Context

    Recently I came to know about OpenStreetMap from a friend of mine which inspired me to do this. OpenStreetMap, inshort OSM data is a completely crowd-sourced collection of data containing keys such as buildings, amenity, leisure, tourism etc. The data set is usually used for maps. Learn more about it.

    Content

    The raw data were obtained from Geofabrik which had all details about entities present in India. The CSV files are generated by a script that takes data from OSM(OpenStreetMap) file in a ProtocolBuffer Binary format(pbf).

    Datasets

    • building.csv - Details about buildings such as node id(since the OSM file uniquely identifies each entry by a node id), building name, type, location(longitude - latitude), other tags. Learn about the standard tags for buildings in osm file - key: building
    • amenity.csv - Amenity type, name, location, other tags. Learn about the standard tags for amenity - key: amenity.
    • leisure.csv - Leisure type, name, location, other tags. Learn about the standard tags for leisure- key: leisure.

    Acknowledgements

    Raw data source - Geofabrik

  3. World Transportation

    • wifire-data.sdsc.edu
    csv, esri rest +4
    Updated Jun 9, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2021). World Transportation [Dataset]. https://wifire-data.sdsc.edu/dataset/world-transportation
    Explore at:
    csv, kml, html, esri rest, geojson, zipAvailable download formats
    Dataset updated
    Jun 9, 2021
    Dataset provided by
    Esrihttp://esri.com/
    Area covered
    World
    Description

    This map presents transportation data, including highways, roads, railroads, and airports for the world.

    The map was developed by Esri using Esri highway data; Garmin basemap layers; HERE street data for North America, Europe, Australia, New Zealand, South America and Central America, India, most of the Middle East and Asia, and select countries in Africa. Data for Pacific Island nations and the remaining countries of Africa was sourced from OpenStreetMap contributors. Specific country list and documentation of Esri's process for including OSM data is available to view.

    You can add this layer on top of any imagery, such as the Esri World Imagery map service, to provide a useful reference overlay that also includes street labels at the largest scales. (At the largest scales, the line symbols representing the streets and roads are automatically hidden and only the labels showing the names of streets and roads are shown). Imagery With Labels basemap in the basemap dropdown in the ArcGIS web and mobile clients does not include this World Transportation map. If you use the Imagery With Labels basemap in your map and you want to have road and street names, simply add this World Transportation layer into your map. It is designed to be drawn underneath the labels in the Imagery With Labels basemap, and that is how it will be drawn if you manually add it into your web map.

  4. GIS data for InVEST

    • kaggle.com
    zip
    Updated Aug 21, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Rakshit Mittal (2020). GIS data for InVEST [Dataset]. https://www.kaggle.com/rakshitmittal/jharkhand-gis-data-for-invest
    Explore at:
    zip(6372536629 bytes)Available download formats
    Dataset updated
    Aug 21, 2020
    Authors
    Rakshit Mittal
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    I made this dataset while performing Integrated Valuation of Ecosystem Services and Tradeoffss (InVEST) models of wetlands in India.

    Content

    This dataset is a collection of Geographic Information System (GIS) data sourced from various public domains. It includes shapefiles, image raster files, etc which can are primarily developed with the aim of using with GIS software such as ArcGIS Pro, QGIS, etc. Most of the datasets are global in nature with some, like the OpenStreetMap data pertaining to India only. The data is as described below:

    DataSourceResolutionLinkCitation
    Land Use Land CoverEuropean Space Agency Copernicus Land Cover Product300 metreshttps://cds.climate.copernicus.eu/cdsapp#!/home
    PrecipitationGlobal Precipitation Climatology Centre, Monitoring 61 degreehttps://opendata.dwd.de/climate_environment/GPCC/html/gpcc_monitoring_v6_doi_download.html
    Hydrological Soil GroupsWorld HySOGs250m, ORNL DAAC, NASA250 metreshttps://daac.ornl.gov/SOILS/guides/Global_Hydrologic_Soil_Group.html
    Ecosystem Rooting DepthsISLCSP2, ORNL DAAC, NASA1 degreehttps://daac.ornl.gov/ISLSCP_II/guides/ecosystem_roots_1deg.html
    Digital Elevation ModelGMTED2010, USGS EROS Archive7.5 arc-sechttps://www.usgs.gov/centers/eros/science/usgs-eros-archive-digital-elevation-global-multi-resolution-terrain-elevation?qt-science_center_objects=0#qt-science_center_objects
    Rainfall Erosivity, Soil ErodibilityGloSEM, EU ESDAC-JRC25 kmhttps://esdac.jrc.ec.europa.eu/content/global-soil-erosion
    WatershedsHydroBASINS, HydroSHEDS, World Wildlife Fundshapefilehttps://hydrosheds.org/page/hydrobasins
    Reference EvapotranspirationGlobal-PET, CGIAR, Consortium for Spatial Information30 arc-sechttps://cgiarcsi.community/2019/01/24/global-aridity-index-and-potential-evapotranspiration-climate-database-v2/
    Points of Interest, Roadways, Airports, Bus Stations, etcOpenStreetMap datashapefilehttps://download.geofabrik.de/asia/india.html
    Plant Available Water ContentWISE30sec, ISRIC World Soil Information30 arc-sechttps://data.isric.org/geonetwork/srv/eng/catalog.search#/metadata/dc7b283a-8f19-45e1-aaed-e9bd515119bc
    Cropping Data, Fertilization RatesEarthStat 20005 arc-minhttp://www.earthstat.org/ ...
  5. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Omkar Salunke (2024). India openstreetmap dataset [Dataset]. https://www.kaggle.com/datasets/omkarmb/india-openstreetmap-dataset
Organization logo

India openstreetmap dataset

Explore at:
370 scholarly articles cite this dataset (View in Google Scholar)
zip(176118090 bytes)Available download formats
Dataset updated
May 25, 2024
Authors
Omkar Salunke
License

Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically

Area covered
India
Description

Dataset

This dataset was created by Omkar Salunke

Released under Apache 2.0

Contents

Search
Clear search
Close search
Google apps
Main menu