GIS data for a project. I apologize for the banality of my request and for my English.

This page summarizes the projects mentioned and recommended in the original post on /r/datasets

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  • WorkOS - The modern identity platform for B2B SaaS
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  • QGIS

    QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS)

  • Just google qgis datasets. There are so so many interesting sets you will find. Check out qgis.org, or data.world for starters

  • awesome-gis

    😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
  • awesome-bigdata

    A curated list of awesome big data frameworks, ressources and other awesomeness.

  • Awesome-Geospatial

    Long list of geospatial tools and resources

  • awesome-open-geoscience

    Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

  • awesome-remote-sensing-change-detection

    List of datasets, codes, and contests related to remote sensing change detection

  • Awesome-Historic_al-Maps

    Historic(al) Maps: Meta guidance, tools, repositories, databases, search engines, and online resources for the exploration of Historic and Historical Maps.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • awesome-satellite-imagery-datasets

    Discontinued 🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

  • Awesome_Satellite_Benchmark_Datasets

    Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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