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The United Nations Development Programme (UNDP) and the State Government of Telangana, India have introduced Data in Climate Resilient Agriculture (DiCRA) to the Digital Public Goods Registry. Driven by Artificial Intelligence, DiCRA aims to enhance climate-resilient food systems and food security. Leveraging remote sensing and pattern detection algorithms, it identifies farms resilient to climate change and those highly vulnerable. By employing open-source technologies, DiCRA facilitates climate resilience analysis based on empirical inputs from data scientists and citizen scientists. Recognized as a digital public good, DiCRA joins over 100 solutions contributing to the Sustainable Development Goals through privacy-respecting practices.

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Data in Climate Resilient Agriculture (DiCRA)
UNDP| Source | Data | The United Nations Development Programme (UNDP) and the State Government of Telangana, India have introduced Data in Climate Resilient Agriculture (DiCRA) to the Digital Public G
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Global Agro-Ecological Zones
Food and Agricultural Organiztion of the United Nations| Source | The Food and Agriculture Organization of the United Nations (FAO) and the International Institute for Applied Systems Analysis (IIASA)
European Soil Data Centre (ESDAC)
The European Soil Data Center | Source | Data hub | The European Soil Data Centre (ESDAC) is a comprehensive repository of soil-related information and datasets, offering a wealth of resources primari
Database: Coastal Carbon Library (Version 1.3.0)
The Smithsonian Institute | Source | Data |  This data release introduces the updated Coastal Carbon Data Library, an international database of soil carbon information from tidal wetlands, curated by
Copernicus Land Monitoring Service (CLMS)
European Commission| Source | Data |The Copernicus Land Monitoring Service (CLMS) delivers geospatial information globally, focusing on land cover, changes, land use, vegetation status, water cycle, a
ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2010, 2017, 2018, 2019 and 2020, v4
European Space Agency | Source | Dataset |  The dataset at hand presents a collection of estimates pertaining to forest above-ground biomass (AGB) spanning the years 2010, 2017, 2018, 2019, and 2020.
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