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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,693 datasets
Certified businesses owned and controlled 51% or more by minorities, women, veterans, and individuals with disabilities. The dataset is updated daily by the Delaware Office of Supplier Diversity. It includes certification details and demographic classifications for businesses eligible for state procurement.
Kate Guastaferro's pilot study data examines adapting a selective parent-focused child sexual abuse prevention curriculum for a universal audience. The dataset likely contains survey or assessment results related to the acceptability and feasibility of the Smart Parents - Safe and Healthy Kids program. The data was harvested by QDR and last updated on May 4, 2026.
Research data for a study on how generative AI interaction affects university students' critical thinking. The 333.1 KB PDF file contains survey results from Indonesia, authored by Frorensia Stevanie and shared under a CC-BY-4.0 license. It was last updated on May 27, 2026.
Agents Last Exam (ALE) Task Input Data provides the input materials handed to AI agents at the start of each task in the ALE benchmark. The dataset is part of a family of three companion datasets published on HuggingFace by the agents-last-exam organization. It was last updated on June 5, 2026.
Risk assessment indicators for Poland's administrative level 2 districts (powiaty) facilitate flood hazard and resilience analysis. Produced by the Heidelberg Institute for Geoinformation Technology (HeiGIT) in March 2026, the data integrates demographic, infrastructure, and accessibility metrics derived from WorldPop and OpenStreetMap.
Comores risk assessment indicators aggregated at administrative level 2, produced by the Heidelberg Institute for Geoinformation Technology (HeiGIT) and updated in March 2026. The data integrates demographics from WorldPop, infrastructure from OpenStreetMap, and accessibility metrics from openrouteservice to support flood hazard and resilience analysis.
HeiGIT produced this collection of risk assessment indicators for Uganda at administrative level 2, updated as of March 2026. The data integrates demographics from WorldPop, infrastructure from OpenStreetMap, and flood exposure metrics to support disaster resilience planning.
HeiGIT generated these risk assessment indicators for Vanuatu at the administrative level 2 to facilitate structured flood and cyclone hazard analysis. The data integrates population figures from WorldPop, infrastructure from OpenStreetMap, and travel times from openrouteservice to quantify district-level vulnerability.
HeiGIT produced this dataset of flood risk assessment indicators for Sierra Leone aggregated at the administrative level 2 (district) scale. It integrates data from WorldPop, OpenStreetMap, and Google Earth Engine to provide demographic, infrastructure, and accessibility metrics. The records are structured to support structured risk assessments for flood hazards.
HeiGIT provides risk assessment indicators for Paraguay at the admin level 2 (district) scale, derived from the GAIA Pipeline. The dataset integrates demographic, infrastructure, and flood hazard data from sources like WorldPop and OpenStreetMap to support disaster resilience analysis. It was last updated in March 2026.
Thailand risk assessment indicators for flood and cyclone hazards are provided across eight thematic CSV files aggregated at the administrative level 2 (district). Developed by the Heidelberg Institute for Geoinformation Technology (HeiGIT) and updated in 2026, the data integrates demographic, infrastructure, and accessibility metrics from WorldPop and OpenStreetMap.
HeiGIT provides risk assessment indicators for El Salvador aggregated at the administrative level 2 (districts) to support flood hazard analysis. The dataset integrates data from WorldPop, OpenStreetMap, and Google Earth Engine to quantify demographics, infrastructure access, and facility counts. It was last updated in March 2026.
Multi-sectoral risk indicators for Cambodia aggregated at the district level (admin level 2) to support flood hazard and resilience assessments. Produced by the Heidelberg Institute for Geoinformation Technology (HeiGIT) via the GAIA pipeline, it integrates demographic, infrastructure, and accessibility data from WorldPop and OpenStreetMap as of March 2026.
HeiGIT produced this dataset in March 2026 to provide district-level risk indicators for Cape Verde across eight thematic areas including demographics and hazard exposure. It aggregates data from WorldPop, OpenStreetMap, and Google Earth Engine to facilitate structured assessments for flood and cyclone resilience.
Ukraine risk assessment indicators aggregated at the admin level 2 (district) scale, produced by HeiGIT and updated in March 2026. The dataset integrates demographic, infrastructure, and environmental layers from WorldPop and OpenStreetMap to support flood hazard and resilience analysis.
Egypt risk assessment indicators at the district level (admin level 2) produced by HeiGIT in 2026. The data integrates population, infrastructure, and accessibility metrics from WorldPop and OpenStreetMap to support flood hazard analysis across seven thematic layers.
HeiGIT provides seven layers of risk assessment indicators for Guinea at the administrative level 2 (districts) to support flood hazard analysis. The data integrates demographic, infrastructure, and accessibility metrics derived from WorldPop and OpenStreetMap as of March 2026. It includes specific travel-time accessibility figures and population breakdowns for vulnerable groups.
HeiGIT produced these risk assessment indicators for Ivory Coast at the admin level 2 scale in 2026. The data integrates demographic, infrastructure, and flood hazard metrics from WorldPop and OpenStreetMap to support disaster resilience analysis.
Turkey risk assessment indicators at the district level (admin level 2) produced by HeiGIT in 2026. The data aggregates demographic, infrastructure, and flood exposure metrics derived from WorldPop, OpenStreetMap, and Google Earth Engine. It provides specific accessibility and vulnerability layers to support disaster resilience analysis.
Mauritania risk assessment indicators aggregated at administrative level 2, produced by the Heidelberg Institute for Geoinformation Technology (HeiGIT) and updated in March 2026. The data covers demographic, infrastructure, and flood hazard metrics derived from WorldPop, OpenStreetMap, and Google Earth Engine.