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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,250 datasets
A new benchmark for tsunami model validation is proposed based on the 2004 Indian Ocean tsunami. The benchmark validates all three stages of tsunami evolution—generation, propagation, and inundation—using geodetic, satellite altimetry, eyewitness, and survey data. Geoscience Australia Data published this scientific journal paper, which also validates the ANUGA hydrodynamic modeling tool.
A 103-page color booklet from the Australian Ocean Data Network, last updated in April 2026. It explores concepts like coastal formation, erosion, estuaries, deltas, reefs, and human impact. The resource includes Australian case studies and student activities with suggested answers for primary and high school teachers.
The University of Alaska Institute of Marine Science collected this high-resolution CTD/STD dataset aboard the R/V Alpha Helix during cruise HX118. Data covers 77 oceanographic stations in the Gulf of Alaska from September 14 to 29, 1988, with field corrections applied based on bottle sample comparisons. The dataset is stored in the NODC F022 format.
New South Wales, Australia, is the geographic scope for this probabilistic tsunami hazard assessment (PTHA) dataset. The data models tsunami inundation hazard uniformly at about 30-meter resolution over the entire coast, spanning more than 1000 kilometers. It was produced by Geoscience Australia using three Monte Carlo samples of 360 scenarios each from the 2018 Australian PTHA.
A 5.5 KB Excel file contains performance metrics for transfer learning experiments between two cardiac MRI datasets. Yafei Mi authored this benchmark, which was last updated in April 2026. It compares methods pre-trained on the CHD dataset and fine-tuned on the MMWHS dataset with varying labeled data amounts.
A 5.5 KB Excel file containing structural model results and hypothesis assessment, authored by Zichen Ke and last updated on April 13, 2026. The dataset is available under a CC-BY-4.0 license.
Resource consumption of different supervised learning models. The 5.5 KB Excel file, authored by Mubtasim Kamal Dihan and last updated in April 2026, likely contains comparative metrics for computational efficiency.
A 5.5 KB Excel file from figshare, authored by Yan Wang and last updated in April 2026. The dataset likely contains performance metrics for survival models applied to BRCA data. It is shared under a CC-BY-4.0 license.
1,455 survey respondents from the healthcare system provide insights into the perceived value of their education and career development. The dataset, authored by Samuel M. Schut and last updated in April 2026, is stratified by the primary role of respondents within the healthcare system. It is a small, 9.5 KB Excel file shared under a CC-BY-4.0 license.
National Centers for Coastal Ocean Science (NCCOS) data on prescribed fire and smoke density from a project with Grand Bay and Weeks Bay National Estuarine Research Reserves. The dataset was created to visualize fire distribution and potential impacts in Jackson County, MS, and Mobile and Baldwin Counties, AL, for public outreach. It covers the period from January 1, 1992, to December 31, 2022.
Data supporting replication package for the manuscript titled 'Noise but Learning: Evidence from India' are available via JAERE's Data Availability and Replication Policy. Data are subject to third-party restrictions; the data file has been made available for audit by JAERE. Note that these data are to be used only to verify the replicability of the results using the same data and model(s).
Infrastructure Australia's 2019 audit provides average weekday public transport travel times to the nearest public secondary school during the 7am to 9am peak. The data supports strategic modeling for urban transport crowding and congestion.
Risk of bias assessment data compiled for a systematic review. The dataset, authored by Huyen Tran, is a 233.0 KB ZIP file last updated on April 13, 2026, and is licensed under CC-BY-4.0.
475 Italian upper secondary school students participated in a psychometric validation study for a wellbeing assessment tool. A subsequent quasi-experimental trial involved 12 final classes to test a brief, class-time wellbeing enhancement program. The data, published by L. Francesca Scalas in 2026, includes results showing small, maintained improvements at a 1-month follow-up.
A cross-sectional survey of 1,125 undergraduate students from a Colombian public university, conducted within the EpiHealth-UCEVA project. The dataset likely contains scores from validated questionnaires assessing anxiety, depression, sleep quality, and physical activity levels. It was authored by Robinson Ramírez-Vélez and last updated in March 2026.
Saudi Arabia-based research on 60 female English as a Foreign Language students' real-time ChatGPT use during a timed argumentative essay task. The dataset includes screen recordings of prompts and AI outputs, pre- and post-task survey data, teacher ratings of ChatGPT functions, and short interview transcripts. The study was authored by Reem Alsadoon and last updated on 2026-03-19.
Polygon data representing proposed education facilities within North Lincolnshire Council's local development plans. The dataset is provided by the Government Digital Service via the eu_open_data platform. The specific temporal coverage and last update date are unknown.
29,620 subjects aged 45–85 years from the China Health and Retirement Longitudinal Study were stratified by educational level to analyze cognitive determinants. Mixed-effects models revealed a significant educational gradient in cognitive scores and varying effects of age, gender, internet use, and urban residence across groups. The analysis was conducted by Dezhen Dai and published on figshare in March 2026.
China Health and Retirement Longitudinal Study data from 2015 to 2020 includes 29,620 subjects aged 45–85 years. Dezhen Dai analyzed cognitive function determinants stratified by educational level using mixed-effects models. The dataset was last updated on 2026-03-19.
China Health and Retirement Longitudinal Study data from 2015–2020, analyzing 29,620 subjects aged 45–85 years. The dataset was created by Dezhen Dai and published on figshare in March 2026. It examines determinants of cognitive function stratified by educational level.