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Datasets below are provided as suggestions by the UN Datathon organizers and our partners.
Participants are welcome to use any other publicly available datasets as well and combine them with the datasets provided by the organizers.
The only requirement for Datasets used in your projects is that must be publicly and openly available datasets and must be available for free during the period of the UN Datathon. For more information, please see UN Datathon Essentials
Please note that these are not the only datasets available with a Geospatial component.
Statistical Community
INDE was created with the purpose of cataloging, integrating and harmonizing geospatial data existing in the Brazilian government institutions, producers and maintainers of this type of data, so that they can be easily located, explored and accessed for the most diverse uses, by any client who has access to the Internet. The geospatial data will be catalogued through their respective metadata, published by the producers/maintainers of such data.
https://geoserver.car.gov.br/geoserver/web/
https://catalogodatos.gub.uy/organization/ide
https://www.fao.org/food-agriculture-microdata/en/
The “Food and Agriculture Microdata Catalogue” contains 1,314 datasets. It provides an inventory of datasets collected through farm and household surveys which contain information related to agriculture, forests, food security, and nutrition. The FAM catalogue is populated by datasets which are collected directly by FAO and datasets whose collection are supported in some way by FAO. Our aim is to be a one-stop-shop containing metadata on all agricultural censuses and surveys which are publicly available as well as provide direct access and/or links to the microdata.
https://data-in-emergencies.fao.org/
In recognition of the need to better understand the impact of shocks on agricultural livelihoods in food crisis contexts, the Food and Agriculture Organization of the United Nations (FAO) established the Data in Emergencies Information System. Driven by regularly collected primary data in food crisis countries, its objective is to inform decision-making in support of agricultural livelihoods in fragile and shock-prone environments. Since the launch of the DIEM Hub in June 2020, DIEM surveys have been completed in over 30 countries reaching approximately 150 000 households per year. At the center of the DIEM Information System is the DIEM-Monitoring System which performs regular, standardized and frequent household surveys.
For more information: FAO Data in Emergencies Hub
https://datacatalog.worldbank.org/search?q=&sort=last_updated_date%20desc
https://geo.cepal.org/cepalgeo/home/index.html?lang=en
Geospatial Layers, Statistical Geospatial Information Integration, and Geospatial Information and SDG
https://data.grid3.org/search?collection=Dataset
This data repository features a range of innovative tools to visualise, analyse, and download GRID3 data. GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development) works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and boundaries. GRID3 combines the expertise of partners in government, United Nations, academia, and the private sector to design adaptable and relevant geospatial solutions based on capacity and development needs of each country.
https://earth.esa.int/eogateway/catalog
Living Atlas of the World
https://livingatlas.arcgis.com/en/home/
You can browse / filter the available files by various geospatial characteristics (see Boundaries, Infrastructure or Environment), as well as by topics such as Jobs and Education (see People).
Data files can also be sorted by “current events” or “News and Noteworthy” (see Trending)
https://registry.opendata.aws/
You can explore the 478 data programs by filtering for example on Environmental Data (32 data programs), which contains for example Earth Observation Data Cubes for Brazil or NOAA’s Terrestrial Climate Data Records or NOAA’s Oceanic Climate Data Records or detailed Flood Risk data for the United States
https://www.microsoft.com/en-us/ai/ai-for-good
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