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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,695 datasets
Delivering risk assessment indicators for Slovakia aggregated at the administrative level 2 (districts) to facilitate flood hazard and resilience analysis. Developed by the Heidelberg Institute for Geoinformation Technology (HeiGIT) in 2026, it integrates demographic, environmental, and infrastructure data from sources like WorldPop and OpenStreetMap.
HeiGIT produced these risk assessment indicators for Niger at the admin level 2 (district) scale, updated in March 2026. The data aggregates demographic, infrastructure, and accessibility metrics from WorldPop and OpenStreetMap to support flood hazard analysis across seven thematic layers.
HeiGIT produced this dataset in 2026 to provide risk assessment indicators for Romania at the admin level 2 (district) scale. It aggregates demographic, infrastructure, and accessibility data from WorldPop and OpenStreetMap specifically for flood hazard analysis across seven thematic layers.
Malawi risk indicators at admin level 2 (districts) produced by HeiGIT in 2026. The data integrates WorldPop, OpenStreetMap, and Google Earth Engine sources to quantify flood and cyclone exposure alongside demographic and infrastructure metrics.
Nigeria risk assessment indicators aggregated at the admin level 2 (district) scale, produced by HeiGIT and last updated in March 2026. The data integrates demographic, infrastructure, and environmental metrics from WorldPop and OpenStreetMap to facilitate flood hazard and resilience analysis.
Mozambique risk assessment indicators aggregated at administrative level 2 for flood and cyclone hazard analysis. Produced by HeiGIT via the GAIA Pipeline, the data integrates WorldPop, OpenStreetMap, and Google Earth Engine sources as of March 2026.
Myanmar district-level (admin 2) risk indicators for flood and cyclone hazards, produced by HeiGIT using the GAIA Pipeline. The dataset integrates demographic, infrastructure, and environmental data from WorldPop and OpenStreetMap as of March 2026. It provides standardized metrics for disaster resilience and vulnerability analysis across all districts.
HeiGIT's GAIA Pipeline provides risk assessment indicators for Laos at the administrative level 2 (district) to support flood and cyclone hazard analysis. The dataset integrates demographic, infrastructure, and accessibility data derived from WorldPop, OpenStreetMap, and Google Earth Engine as of March 2026.
HeiGIT provides risk assessment indicators for Saint Lucia aggregated at the administrative level 2 (district) to support flood hazard analysis. The dataset integrates demographic, infrastructure, and accessibility metrics derived from WorldPop, OpenStreetMap, and Google Earth Engine as of March 2026.
HeiGIT provides risk assessment indicators for Hungary at the administrative level 2 (districts) to support flood hazard and resilience analysis. The dataset integrates demographic, infrastructure, and accessibility data derived from WorldPop, OpenStreetMap, and Google Earth Engine as of March 2026. It covers multiple dimensions of risk including coping capacity, vulnerability, and flood exposure across all Hungarian districts.
Giving access to risk assessment indicators for Sao Tome and Principe aggregated at the administrative level 2 (district), focusing on flood hazards and infrastructure accessibility. 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.
HeiGIT generated these risk assessment indicators for Eritrea at the admin level 2 (district) scale, last updated in March 2026. The data aggregates demographic, infrastructure, and accessibility metrics from WorldPop and OpenStreetMap to facilitate flood hazard and resilience analysis.
Seven thematic indicator layers developed by HeiGIT in 2026 provide risk assessment data for the Democratic Republic of the Congo at the administrative level 2. The data aggregates demographic, infrastructure, and flood exposure metrics from sources like WorldPop and OpenStreetMap to support disaster resilience analysis.
HeiGIT provides risk assessment indicators for Rwanda aggregated at the district level (admin level 2) to support flood hazard analysis. The dataset integrates demographic data from WorldPop, infrastructure from OpenStreetMap, and accessibility metrics from openrouteservice. It was last updated in March 2026 and covers all districts within the country.
Supplying risk assessment indicators for Belize aggregated at the administrative level 2 (districts) to support flood and cyclone hazard analysis. Produced by the Heidelberg Institute for Geoinformation Technology (HeiGIT) using the GAIA Pipeline, it integrates data from WorldPop, OpenStreetMap, and Google Earth Engine as of March 2026.
HeiGIT provides risk assessment indicators for Albania aggregated at the administrative level 2 (districts) to support flood hazard analysis. The dataset integrates demographic, infrastructure, and accessibility data derived from OpenStreetMap, WorldPop, and Google Earth Engine as of March 2026.
Geoscience Australia Data collected a survey of deep-sea biological assemblages and physical variables on the Lord Howe Rise and Gifford Guyot in the southern Pacific Ocean. The dataset includes 42 towed-video stations yielding 32 hours of seabed video, 6,229 photographs, 3,413 seabed characterisations, and sediment and biological samples from 36 stations. Data was collected to examine the use of physical data as surrogates for predicting biological diversity in deep-sea environments.
The Melbourne Strategic Assessment Extent dataset provides the spatial boundaries for Melbourne's urban growth and associated transport infrastructure. The Department of Energy, Environment and Climate Action defines the program, which includes four growth areas and 28 precincts within the expanded 2010 Urban Growth Boundary. The dataset was last updated on 2026-04-09.
613.6 KB CSV file contains a dataset for training and testing a machine learning model, as well as prediction outputs from the model for PjDHFR-MTX. It was authored by Francois D. Rouleau and last updated on May 27, 2026.
Survey data from the ACT & Queanbeyan Household Travel Survey dashboard replicates journeys between home and educational facilities. The dataset focuses on travel for regular study, excluding journeys over 100km and non-regular educational trips. It was published by the TCCS Data Capability within the ACT Government Open Data platform.