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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,693 datasets
HeiGIT generated these risk assessment indicators for Somalia in 2026, aggregating data at the administrative level 2 (district). The dataset combines demographic, infrastructure, and environmental layers from WorldPop and OpenStreetMap to facilitate structured assessments for flood and cyclone hazards.
HeiGIT produced this dataset in 2026 to provide risk assessment indicators for Madagascar at the administrative level 2 (district). It aggregates demographic, infrastructure, and hazard exposure data from WorldPop and OpenStreetMap to support flood and cyclone resilience analysis.
Supplying risk assessment indicators for Bangladesh at the administrative level 2 (district) across eight thematic layers including demographics, infrastructure, and hazard exposure. Produced by the Heidelberg Institute for Geoinformation Technology (HeiGIT) using the GAIA Pipeline, the data integrates sources like WorldPop and OpenStreetMap as of March 2026.
Sudan risk assessment indicators aggregated at administrative level 2 (districts) for flood hazard and resilience analysis. Produced by HeiGIT using the GAIA Pipeline, the data integrates WorldPop, OpenStreetMap, and Google Earth Engine sources as of March 2026.
Risk assessment indicators for Iraq aggregated at the administrative level 2 (district) across seven thematic categories including flood exposure and demographics. Developed by the Heidelberg Institute for Geoinformation Technology (HeiGIT) using the GAIA Pipeline, it integrates data from WorldPop, OpenStreetMap, and Google Earth Engine.
HeiGIT's GAIA Pipeline provides risk assessment indicators for Ethiopia's administrative level 2 districts to facilitate flood hazard analysis. The data integrates demographic, infrastructure, and accessibility metrics derived from WorldPop, OpenStreetMap, and Google Earth Engine. It consists of seven thematic layers including demographics, facility counts, and population travel-time accessibility.
HeiGIT generated this collection of subnational risk indicators for Bulgaria at the admin level 2 (district) scale, last updated in March 2026. It integrates geospatial data from OpenStreetMap, WorldPop, and Google Earth Engine to quantify flood exposure, demographic vulnerability, and service accessibility.
HeiGIT produced these risk assessment indicators for the Philippines at the administrative level 2 (ADM2) to support flood and cyclone hazard analysis. The data integrates WorldPop demographics, OpenStreetMap infrastructure, and Google Earth Engine environmental layers as of March 2026.
District-level risk assessment indicators for the United Arab Emirates, specifically tailored for flood hazard analysis. Produced by the Heidelberg Institute for Geoinformation Technology (HeiGIT) and updated in March 2026, it aggregates demographic, infrastructure, and accessibility data across seven thematic layers.
HeiGIT provides risk assessment indicators for Chad at the admin level 2 (district) scale, derived from the GAIA Pipeline using WorldPop and OpenStreetMap data. The dataset includes demographic, infrastructure, and flood exposure metrics across seven thematic layers updated as of March 2026. It is designed to support disaster resilience analysis and structured risk assessments for flood hazards.
HeiGIT provides risk assessment indicators for Libya at the admin level 2 scale, updated in March 2026. The data integrates demographic, infrastructure, and accessibility metrics from WorldPop and OpenStreetMap to support flood hazard analysis.
HeiGIT provides risk assessment indicators for Honduras aggregated at the administrative level 2 (municipality) scale. The dataset integrates demographic, infrastructure, and hazard exposure data from WorldPop and OpenStreetMap to support flood and cyclone resilience analysis.
HeiGIT produced this dataset in March 2026 to provide risk assessment indicators for Senegal and Gambia at the administrative level 2. It aggregates demographic, infrastructure, and accessibility data from WorldPop and OpenStreetMap to support structured flood hazard analysis.
Burkina Faso Risk Assessment Indicators provides district-level (admin 2) data for flood hazard analysis and resilience planning. Developed by the Heidelberg Institute for Geoinformation Technology (HeiGIT) and updated in 2026, the dataset aggregates demographic, infrastructure, and accessibility metrics from WorldPop and OpenStreetMap.
Botswana risk assessment indicators aggregated at the administrative level 2 (districts) provide a basis for flood hazard and resilience analysis as of March 2026. Produced by HeiGIT, the data integrates demographic, infrastructure, and accessibility metrics derived from WorldPop, OpenStreetMap, and Google Earth Engine.
HeiGIT produced these risk assessment indicators for Ecuador at the admin level 2 (district) scale in 2026. The data aggregates demographic, infrastructure, and flood hazard metrics from WorldPop, OpenStreetMap, and Google Earth Engine to facilitate disaster resilience planning.
HeiGIT produced this dataset of risk assessment indicators for Uzbekistan at the administrative level 2 (district) to facilitate flood hazard analysis. It integrates demographic, infrastructure, and accessibility data derived from WorldPop, OpenStreetMap, and Google Earth Engine as of March 2026.
Nicaragua Risk Assessment Indicators provide district-level data for flood and cyclone hazards across eight thematic categories including demographics and infrastructure. Developed by the Heidelberg Institute for Geoinformation Technology (HeiGIT) via the GAIA Pipeline, the dataset aggregates information from WorldPop, OpenStreetMap, and Google Earth Engine as of March 2026.
Risk assessment indicators for Kyrgyzstan are provided at the administrative level 2 to support flood hazard analysis and resilience planning. Produced by the Heidelberg Institute for Geoinformation Technology (HeiGIT), the data integrates demographic, infrastructure, and accessibility metrics from WorldPop, OpenStreetMap, and Google Earth Engine.
HeiGIT released this collection of risk assessment indicators for the Central African Republic in 2026, covering all admin level 2 districts. It aggregates demographic, infrastructure, and flood exposure data from WorldPop, OpenStreetMap, and Google Earth Engine to support disaster resilience analysis.