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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,989 datasets
Alma Abylkassymova's mixed-methods study data explores digitalized STEM approaches for mathematics education continuity. The dataset contains results from an experimental study in two 10th-grade classes and a survey of 33 university participants, measuring academic performance gains and attitudes. Findings include a 15-16% student performance improvement and an average survey score of 3.85 on STEM-digital integration.
38 hours of speech from 120 unscripted telephone conversations between native Spanish speakers, developed by the Linguistic Data Consortium. This second edition combines original audio and transcripts with updated formats and revised transcriptions conforming to modern guidelines. Calls originated in North America to overseas locations, with participants speaking to family or friends on topics of their choice.
Approximately 49 hours of speech from 120 unscripted telephone conversations between native Japanese speakers, developed by the Linguistic Data Consortium (LDC). This second edition re-releases the original CALLHOME Japanese collection with updated transcripts, file formats, and documentation. The data was collected as part of the CALLHOME series to support research in speaker and language identification.
A 1989 Statewide Assessment Report provides the boundaries for Land Conservation Council Study Areas, depicted as line and polygon features. The dataset, published by the Department of Energy, Environment and Climate Action, includes information on historic studies but excludes boundaries for Special Investigations. It was last updated on April 8, 2026.
Motor performance, anthropometric, and subjective coach assessment data for 46 German youth 3x3 basketball players. The dataset supports a methodological comparison of logistic regression and fast-and-frugal tree models for predicting player selection. Nora Cermak authored the study, with data last updated in March 2026.
46 3x3 basketball players (23 female, aged 15.8–18.6 years) were assessed during the final stage of the German national selection system. The dataset includes motor performance tests, anthropometrics, and coaches' subjective ratings of technical, tactical, and psychological parameters. This research by Nora Cermak, published in 2026, compares logistic regression and fast-and-frugal tree models to analyze predictors for player selection.
46 3x3 basketball players aged 15.8 to 18.6 years were assessed during the final stage of the German national selection system. The dataset includes motor performance tests, anthropometrics, and coaches' subjective assessments of technical, tactical, and psychological parameters. Nora Cermak published this research data on figshare in 2026.
46 German 3x3 basketball players aged 15.8–18.6 years were assessed during the final stage of the national selection system. The dataset includes motor performance tests, anthropometrics, and coaches' subjective assessments of technical, tactical, and psychological parameters. Researcher Nora Cermak published this analysis in March 2026.
Function codes detail discrete school spending for administration, teaching, and maintenance from fiscal year 2009 onward. The Massachusetts Department of Education provides this data, which distinguishes between in-district and out-of-district programs and categorizes funding by source. Charter and virtual school expenditures are excluded from this specific dataset.
2,532 scientific publications from Web of Science and Scopus were analyzed using bibliometric methods. The dataset tracks global research trends on Tai Chi's health effects for older adults, with China (41%) and the United States (34%) as the leading contributors. Publication volume grew from about 80 in 2010 to a peak of roughly 270 in 2025.
A 2004 Indian Ocean tsunami benchmark validates all three stages of tsunami evolution—generation, propagation, and inundation. The benchmark uses geodetic earthquake measurements, satellite altimetry, eyewitness accounts, and a detailed inundation survey of Patong Bay, Thailand. It was created by the Australian Ocean Data Network and published as an external scientific journal paper.
Defra's Enabling a Natural Capital Approach resource collates around 400 UK data sources, tools, and studies across 8 natural habitat categories and 25 environmental effect categories. It includes selected economic valuation evidence and case studies summarizing real-world applications. The resource was last updated in April 2026 by the UK Department for Environment, Food and Rural Affairs.
Descriptive statistics for the Trust in Oncologist Scale and Health Literacy Score. The dataset is authored by Sosina Workineh Tilahun and was last updated on April 24, 2026. The data is stored in an XLS file and is 5.5 KB in size.
Pupil counts in special education are allocated per partnership for primary education. The data shows numbers per school establishment and support cost category, with a distinction between pupils under 8 and 8 years or older due to differing funding rates. It originates from the Dutch Ministry of the Interior and Kingdom Relations and is published under a CC0-1.0 license.
U.S. state legislatures from 2017 to 2022 provide data on the number of bills introduced, contributions to bills, and legislative effectiveness scores for women and men state legislators. The dataset includes code and data to replicate the analysis of how increased female representation impacts legislative behavior. It was authored by Emma Schroeder and hosted on Harvard Dataverse.
A 2021 survey collected first-hand data on the humanitarian needs and livelihoods of non-Syrian refugee households in Jordan. The assessment was conducted by UNHCR to inform programmatic decisions and a vulnerability-based targeting strategy for food assistance. The data likely contains socio-economic profiles and vulnerability indicators.
A Multi-Sector Needs Assessment (MSNA III) of Syrian refugees in the Kurdistan Region of Iraq, conducted in 2017 by IMPACT in collaboration with UNHCR. The assessment provides a household-level analysis of sector-specific needs and vulnerabilities to inform the Regional Refugee & Resilience Plan (3RP) and relevant programming. It builds on previous MSNAs to assess continued vulnerabilities.
A fourth-round household-level analysis of sector-specific needs and vulnerabilities for Syrian, Iranian, and Turkish refugees in the Kurdistan Region of Iraq, conducted in 2018. IMPACT, in collaboration with UNHCR, conducted this assessment to inform the 2019-2020 Regional Refugee & Resilience Plan. The study builds on previous MSNAs to assess continued vulnerabilities.
UNHCR's Multi Cluster Needs Assessment provides a quantitative evidence base for humanitarian decision-making in Iraq. The assessment captures multi-sectoral household conditions and priority needs of conflict-affected populations across the country. It enables the identification of geographic differences, gaps in assistance, and mid to long-term trends over time.
The Multi Cluster Needs Assessment (MCNA) is the primary multi-cluster nationwide needs assessment in Iraq, conducted in 2016. It provides a quantitative evidence base for humanitarian decision makers to inform planning, sector prioritization, and target group identification. The assessment was led by clusters and published by UNHCR - The UN Refugee Agency.