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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,982 datasets
Geospatial data for educational facilities in Ukraine, including schools, universities, and kindergartens, exported from OpenStreetMap by the Humanitarian OpenStreetMap Team (HOT). Updated as of March 2026, it provides point and polygon features for infrastructure planning and humanitarian response.
OpenStreetMap features in Poland matching tags for kindergartens, schools, colleges, and universities. The dataset includes attributes such as name, address, capacity, and operator type, and was last updated on 2026-03-03. It is an export by the Humanitarian OpenStreetMap Team, available in multiple geospatial formats.
Egypt's educational infrastructure is mapped in this dataset, which includes features tagged as kindergartens, schools, colleges, and universities from OpenStreetMap. It was created by the Humanitarian OpenStreetMap Team (HOT) and last updated on 2026-03-03. The data likely contains attributes such as name, address, capacity, and operator type.
Macao, China's education facilities are cataloged in this dataset, which includes kindergartens, schools, colleges, and universities. It is an export from OpenStreetMap, created and maintained by the Humanitarian OpenStreetMap Team (HOT). The data was last updated on March 3, 2026.
This geospatial dataset maps educational facilities across Vietnam, including kindergartens, schools, colleges, and universities, as exported from OpenStreetMap. Maintained by the Humanitarian OpenStreetMap Team (HOT), the data provides point and polygon features last updated in March 2026.
OpenStreetMap data for educational facilities in the Philippines, including kindergartens, schools, colleges, and universities. The dataset is an export from the Humanitarian OpenStreetMap Team and was last updated on 2026-03 03. Features may include names, addresses, capacity, and operator type.
OpenStreetMap features in Puerto Rico tagged as kindergartens, schools, colleges, or universities. The dataset is an export by the Humanitarian OpenStreetMap Team and was last updated in March 2026. Features may include attributes such as name, address, capacity, and operator type.
OpenStreetMap features for education facilities in the Pitcairn Islands, matching tags for kindergarten, school, college, or university. The dataset was exported by the Humanitarian OpenStreetMap Team and last updated on 2026-03-03 09:10:51.528386. It includes attributes such as name, amenity type, building type, address, and capacity.
OpenStreetMap features for education facilities in South Georgia and the South Sandwich Islands, exported by the Humanitarian OpenStreetMap Team. The data includes features tagged as kindergartens, schools, colleges, or universities, with attributes such as name, address, and capacity. The dataset was last updated on 2026-03-03.
OpenStreetMap features for educational institutions in the Hong Kong Special Administrative Region, China. The dataset includes facilities tagged as kindergartens, schools, colleges, or universities, exported by the Humanitarian OpenStreetMap Team. It was last updated on 2026-03-03.
Contiguous United States and Alaska land cover data at 30-meter resolution, generated from composited Landsat Enhanced Thematic Mapper Plus (ETM+) mosaics. The dataset includes a specific 5-year land cover land use change (LCLUC) product for CONUS covering the growing seasons from April 15, 2006, to November 17, 2010. It was produced by NASA in collaboration with the USGS EROS Center and South Dakota State University's GSCE.
234 children aged 3–5 years participated in a mixed-methods study validating the Physical Literacy Early Years (PLEY) Wheel assessment. The dataset likely contains scores across physical, social, cognitive, and affective domains, benchmarked against device-measured physical activity. Natalie Weir authored this research, published on figshare in March 2026.
Hao Li published this dataset on figshare in April 2026. It contains performance evaluation results for different machine-learning models, likely including metrics like accuracy or F1-score. The dataset is stored in a 21.5 KB XLS file.
A 5.5 KB Excel file containing image quality assessment data and inter-reader agreement scores between two reviewers. The dataset was authored by Jaeyoung Huh and last updated on April 28, 2026. It is licensed under CC-BY-4.0.
Polyline data from the 2021 Strathbogie Shire Council Roadside Conservation Assessment, supplied by Biodiversity Services. The dataset includes vector data for roadside conservation areas in multiple geospatial formats. It was created by the Strathbogie Shire Council and last updated in April 2026.
Polyline data from the Strathbogie Shire Council Roadside Conservation Assessment, supplied by Biodiversity Services. The dataset was created by the Strathbogie Shire Council and was last updated in April 2026.
18,251 participants from the BaHLS cohort in Shenzhen, China, were tracked to evaluate six novel obesity- and lipid-related indices as predictors for Type 2 Diabetes onset. The study, authored by Xiang-yang He and last updated in March 2026, found that indices like TyG and TyHGB showed superior predictive performance (AUC up to 0.737). Results are based on longitudinal analysis using Cox models and ROC curve analysis.
DataSalon hosts a dataset from the UK Government Digital Service used to assess seafloor litter density for the Marine Strategy Framework Directive (MSFD). The dataset contains counts of different litter categories collected between 2012 and 2017, supporting an assessment published in 2019. It was sourced from the eu_open_data platform.
Galveston Testbed datasets, established by the NIST Community Resilience Center of Excellence, provide a detailed model for assessing hurricane impacts on coastal communities. The collection includes simulated storm fields, residential building inventories, electric power and transportation networks, and tract-level social vulnerability indicators. Amini et al. (2025) authored the companion paper, with the data depot last updated on April 20, 2026.
A 2014 collation of marine surveys by Natural England gathers evidence from a variety of environments. Survey purposes include verification for recommended Marine Conservation Zones, condition assessments for Natura 2000 sites, and intertidal and benthic grab surveys. All surveys follow established methodologies and specified standards.