Loading...
Loading...
Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,695 datasets
HeiGIT produced these risk assessment indicators for Liberia at the admin level 2 (district) scale to support flood hazard analysis. The data integrates demographic, environmental, and infrastructure layers derived from WorldPop, OpenStreetMap, and Google Earth Engine as of March 2026.
HeiGIT produced these risk assessment indicators for Vietnam at the district level (admin level 2) to facilitate flood and cyclone hazard analysis. The dataset integrates demographic, environmental, and infrastructure data from WorldPop, OpenStreetMap, and Google Earth Engine. It provides eight thematic layers covering accessibility, facilities, coping capacity, and hazard exposure.
HeiGIT produced this collection of risk assessment indicators for Mauritius at the administrative level 2 (district) scale, updated in March 2026. The data integrates demographic, infrastructure, and environmental layers from WorldPop and OpenStreetMap to facilitate structured analysis of flood and cyclone hazards.
Risk assessment indicators for Guyana aggregated at administrative level 2, produced by HeiGIT in March 2026. The data covers seven thematic areas including flood exposure, demographics, and service accessibility to facilitate disaster resilience analysis.
Argentina risk assessment indicators at the administrative level 2 (district) scale, produced by HeiGIT and updated in 2026. The data integrates demographic, infrastructure, and flood exposure metrics from WorldPop, OpenStreetMap, and Google Earth Engine. It includes seven thematic layers covering accessibility, facilities, and population vulnerability.
HeiGIT produced this dataset of risk assessment indicators for Saint Kitts and Nevis, aggregated at the administrative level 2 (district) for flood hazard analysis. It integrates demographic, infrastructure, and accessibility data derived from WorldPop, OpenStreetMap, and Google Earth Engine as of March 2026.
HeiGIT provides risk assessment indicators for Peru aggregated at the administrative level 2 (districts) to support flood hazard analysis. The dataset integrates demographic data from WorldPop, infrastructure counts from OpenStreetMap, and accessibility metrics from openrouteservice. It consists of seven thematic layers including demographics, facility counts, and flood exposure metrics.
HeiGIT developed this dataset of risk assessment indicators for Seychelles at the admin level 2 (district) scale, updated in March 2026. It integrates demographic, infrastructure, and hazard exposure data from WorldPop, OpenStreetMap, and Google Earth Engine to facilitate flood and cyclone resilience analysis.
HeiGIT generated this collection of risk assessment indicators for Mali at the admin level 2 (district) scale, with the latest update recorded in March 2026. The data integrates demographic, environmental, and infrastructure metrics from WorldPop, OpenStreetMap, and Google Earth Engine to facilitate flood hazard and resilience analysis.
Delivering sub-national risk indicators for Haiti and the Dominican Republic at the administrative level 2 (district) scale. Developed by the Heidelberg Institute for Geoinformation Technology (HeiGIT) in 2026, it aggregates demographic, infrastructure, and hazard exposure data from sources like OpenStreetMap and WorldPop. The collection supports structured risk assessments specifically for flood and cyclone hazards across eight thematic categories.
HeiGIT provides these risk assessment indicators for Belarus aggregated at the administrative level 2 (district) to facilitate flood hazard analysis. The data integrates demographic, environmental, and infrastructure metrics derived from WorldPop, OpenStreetMap, and Google Earth Engine. It covers seven thematic areas including accessibility, facilities, and population vulnerability.
HeiGIT provides risk assessment indicators for South Sudan aggregated at the administrative level 2 (districts) to support flood hazard analysis. The dataset integrates demographic, infrastructure, and accessibility data derived from WorldPop and OpenStreetMap via the GAIA Pipeline. Updated in March 2026, it covers essential services and population vulnerability metrics across the country.
HeiGIT produced this dataset of risk assessment indicators for Afghanistan's 2nd-level administrative districts, updated as of March 2026. It aggregates demographic, infrastructure, and flood hazard data from WorldPop, OpenStreetMap, and Google Earth Engine into a single tabular format for disaster resilience analysis.
HeiGIT provides risk assessment indicators for Moldova at the admin level 2 (district) scale, derived from the GAIA Pipeline. The dataset integrates demographic, infrastructure, and environmental data from WorldPop and OpenStreetMap to support flood hazard analysis. It was last updated in March 2026.
HeiGIT provides risk assessment indicators for Equatorial Guinea at the admin level 2 (district) scale, updated as of March 2026. The data aggregates demographic, infrastructure, and accessibility metrics from WorldPop and OpenStreetMap to facilitate flood hazard analysis.
A source of risk assessment indicators for Yemen aggregated at the administrative level 2 (district) across seven thematic categories including flood exposure and healthcare access. Developed by the Heidelberg Institute for Geoinformation Technology (HeiGIT) via the GAIA Pipeline, it integrates data from WorldPop, OpenStreetMap, and Google Earth Engine as of March 2026.
Risk assessment indicators for Lesotho at the admin level 2 (district) scale, specifically designed for flood hazard analysis. Produced by the Heidelberg Institute for Geoinformation Technology (HeiGIT) and updated in March 2026, the data integrates demographic, environmental, and infrastructure layers from WorldPop, OpenStreetMap, and Google Earth Engine.
Encompassing risk indicators for Eswatini's administrative level 2 districts, featuring demographic, infrastructure, and flood exposure metrics. Produced by HeiGIT in 2026, it integrates data from WorldPop and OpenStreetMap to facilitate structured disaster resilience analysis. The data is organized into seven thematic layers including accessibility, coping capacity, and vulnerability.
Georgia risk indicators at admin level 2 for flood hazard assessment, produced by HeiGIT and updated in March 2026. The data aggregates demographic, infrastructure, and accessibility metrics from WorldPop and OpenStreetMap to evaluate disaster resilience across districts.
HeiGIT produced these risk assessment indicators for the Marshall Islands in 2026 to support flood hazard analysis across seven thematic layers. The data aggregates demographic, infrastructure, and accessibility metrics at the admin level 2 using the GAIA Pipeline.