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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 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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EarthStat - GIS Data for Agriculture and the Environment
University of Britsh Columbia| Source | EarthStat, a collaboration between the Global Landscapes Initiative at the University of Minnesota and the Land Use and Global Environment lab at the University
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
Ag Data Commons (USDA)
USDA | Source | The Ag Data Commons serves as a publicly accessible repository and catalog for scientific research data, specifically designed to facilitate information sharing and discovery within th
Global Soil Organic Carbon Sequestration Potential (GSOCseq) Map
Food and Agricultural Organiztion of the United Nations| Source | Data | Guide | The Global Soil Organic Carbon Sequestration Potential Map (GSOCseq) is a pioneering tool designed to estimate the pote
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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