Loading...
Loading...
Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,693 datasets
HeiGIT provides risk assessment indicators for Uruguay at the administrative level 2 (districts) to support flood hazard analysis. The dataset integrates demographic, infrastructure, and accessibility data derived from WorldPop, OpenStreetMap, and Google Earth Engine as of March 2026.
Delivering risk assessment indicators for Jamaica at the administrative level 2 (district) to support flood and cyclone hazard analysis. Produced by HeiGIT using the GAIA pipeline, it integrates data from WorldPop, OpenStreetMap, and Google Earth Engine as of March 2026. The collection includes eight thematic CSV files covering demographics, infrastructure, and hazard exposure.
Zimbabwe district-level indicators for flood hazard assessment provide demographic, infrastructure, and accessibility metrics across seven thematic layers. Produced by the Heidelberg Institute for Geoinformation Technology (HeiGIT) and updated in March 2026, the data aggregates WorldPop and OpenStreetMap sources for all admin level 2 divisions.
Maldives Risk Assessment Indicators provide demographic, infrastructure, and flood exposure data aggregated at the administrative level 2. Produced by the Heidelberg Institute for Geoinformation Technology (HeiGIT) in 2026, the dataset integrates WorldPop and OpenStreetMap data to support disaster resilience analysis.
Trinidad and Tobago risk indicators at administrative level 2, produced by HeiGIT using the GAIA Pipeline. The data integrates WorldPop demographics, OpenStreetMap infrastructure, and flood exposure metrics to support disaster resilience analysis. Updated as of March 2026, it provides localized metrics for flood hazard assessment across seven thematic categories.
HeiGIT produced this collection of risk assessment indicators for Lebanon's administrative districts (admin level 2) as of March 2026. The data aggregates demographic, infrastructure, and accessibility metrics from WorldPop and OpenStreetMap to facilitate structured flood hazard and resilience analysis.
Ghana Risk Assessment Indicators provides district-level (admin level 2) data for flood hazard analysis, produced by the Heidelberg Institute for Geoinformation Technology (HeiGIT) in March 2026. The dataset integrates demographic, infrastructure, and accessibility metrics derived from WorldPop, OpenStreetMap, and Google Earth Engine across seven thematic layers.
HeiGIT provides risk assessment indicators for Algeria at the admin level 2 (district) scale, derived from the GAIA Pipeline. The dataset integrates demographic, infrastructure, and flood exposure data from sources like WorldPop and OpenStreetMap to support disaster resilience analysis. It was last updated in March 2026.
HeiGIT produced these risk assessment indicators for Costa Rica at the administrative level 2 (districts) to support flood and cyclone hazard analysis. The data integrates metrics from WorldPop, OpenStreetMap, and Google Earth Engine, covering demographics, infrastructure, and accessibility. It was last updated in March 2026.
Burundi Risk Assessment Indicators provides demographic, infrastructure, and flood exposure data aggregated at the administrative level 2 (district). Developed by the Heidelberg Institute for Geoinformation Technology (HeiGIT) via the GAIA Pipeline, the data integrates WorldPop and OpenStreetMap sources as of March 2026.
HeiGIT produced this collection of risk assessment indicators for the Bahamas at the administrative level 2 (district) to facilitate flood and cyclone hazard modeling. The data integrates demographic, environmental, and infrastructure layers from WorldPop, OpenStreetMap, and Google Earth Engine. It was last updated in March 2026.
HeiGIT released this dataset in 2026 providing risk assessment indicators for Angola aggregated at the administrative level 2. It integrates demographic, infrastructure, and flood exposure data from WorldPop, OpenStreetMap, and Google Earth Engine to support disaster resilience analysis.
HeiGIT produced this dataset in 2026 to provide risk assessment indicators for Cuba aggregated at the administrative level 2 (district). It integrates demographic, infrastructure, and environmental data from WorldPop and OpenStreetMap to evaluate flood and cyclone hazards across the country.
HeiGIT provides risk assessment indicators for Azerbaijan aggregated at the administrative level 2 (districts) to support flood hazard analysis. The dataset integrates demographic, infrastructure, and accessibility data from WorldPop, OpenStreetMap, and Google Earth Engine as of March 2026.
HeiGIT provides risk assessment indicators for Togo aggregated at the administrative level 2 (districts) to support flood hazard analysis. The dataset integrates demographic, environmental, and infrastructure data derived from WorldPop, OpenStreetMap, and Google Earth Engine as of March 2026.
HeiGIT produced these risk assessment indicators for Pakistan at the administrative level 2 (district) scale to support flood and cyclone hazard analysis. The dataset consists of eight thematic layers integrating demographics, infrastructure, and accessibility metrics derived from WorldPop and OpenStreetMap as of March 2026.
HeiGIT produced this dataset of risk assessment indicators for Indonesia at the administrative level 2 (districts) to facilitate flood hazard analysis. It aggregates demographic, infrastructure, and accessibility data derived from WorldPop, OpenStreetMap, and Google Earth Engine as of March 2026.
HeiGIT released this collection of risk assessment indicators for Congo Brazzaville in 2026, focusing on flood hazard analysis at the administrative level 2. The data integrates demographic, infrastructure, and accessibility metrics derived from WorldPop and OpenStreetMap for all districts in the country.
Seven thematic layers of risk indicators for Armenia provide district-level data on flood exposure, demographics, and service accessibility. Produced by HeiGIT using the GAIA Pipeline, the data aggregates WorldPop and OpenStreetMap sources to support disaster resilience analysis at the administrative level 2.
HeiGIT produced this dataset of risk assessment indicators for Tunisia at the admin level 2 (district) scale, updated in March 2026. It aggregates demographic, infrastructure, and flood exposure data from sources like WorldPop and OpenStreetMap to support disaster resilience analysis.