African Drylands Nexus Research Center
Water • Energy • Food • Ecosystems
Open data resources supporting research and innovation across Africa's drylands
ADNRC provides curated datasets to support science, policy, and development work in Africa's drylands, including climate, water, energy, food, and ecosystem data. Our open data initiative aims to advance research and innovation for sustainable dryland development.
All datasets are carefully quality-controlled, documented, and made available under open licenses to maximize their use and impact.
Explore our curated datasets organized by thematic areas of the Water-Energy-Food-Ecosystem (WEFE) nexus.
Historical and projected climate data for dryland regions, including rainfall, temperature, and drought indices.
Surface and groundwater data, water quality measurements, and hydrological monitoring datasets.
Land cover, vegetation, soil, and biodiversity data for dryland ecosystem monitoring and assessment.
Demographic, livelihood, and socio-economic data relevant to dryland communities and development.
Renewable energy potential, solar radiation, and energy access data for dryland regions.
Integrated datasets linking water, energy, food, and ecosystem variables for nexus analysis.
Our data portal is designed to make dryland data accessible, usable, and impactful for diverse users.
Intuitive search and filtering to quickly find relevant datasets based on theme, region, or keywords.
Interactive maps and charts to explore datasets before downloading, with customizable visualization options.
Detailed documentation including methodology, quality assurance, and recommended citation for each dataset.
Programmatic access to datasets through REST APIs for integration with research workflows and applications.
We follow best practices for data management, sharing, and interoperability to maximize data utility and impact.
Most datasets are shared under Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Proper citation is required when using our data. Citation formats are provided with each dataset.
We prioritize ethical data sharing, respecting community rights and privacy in all datasets.
Data follows FAIR principles (Findable, Accessible, Interoperable, Reusable) and relevant metadata standards.
Access our data resources, learn about our data collection methods, or contact us for data collaboration opportunities.