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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
15,192 datasets
UNICEF Data and Analytics (HQ) provides a dataset on the percentage of youth of upper secondary school age who are not enrolled in any formal education. The data is available in CSV and XML formats and was last updated in July 2026. It measures the out-of-school rate by comparing the number of non-enrolled children to the total population of official upper secondary school age.
Annual data on Northern Ireland domiciled students gaining qualifications from UK higher education institutions, collected by the Higher Education Statistics Agency. The dataset includes specific figures for Open University enrolments and qualifications for the 2013/14 academic year. It is provided to the Department for Employment and Learning, Northern Ireland, for analysis.
Innovation, Science and Economic Development Canada (ISED) provides the Algorithmic Impact Assessment results for its automated Non-Competitive Local Licensing process. This dataset details the assessment of an automated system that streamlines applications, verifies eligibility, and checks spectrum availability for 5G and beyond. It supports transparency in a government process designed to help small operators access wireless spectrum.
University of Queensland contract disclosure reporting lists all awarded contracts valued over $10,000. The dataset is published by the University of Queensland's procurement office under a CC-BY-4.0 license. It was last updated on July 17, 2026.
A 2009 study in Sao Paulo, Brazil, assessed the validity of the Physical Activity Checklist questionnaire against accelerometer data. The study involved 118 school children aged seven to ten years from primary grades two to five. It was conducted by Fernando Adami of Universidade de São Paulo.
5,199 books submitted by Lithuanian universities and research institutions for state funding evaluations between 2008 and 2020. The dataset includes ISBNs and metadata such as publisher types, publication years, and scientific fields, compiled by Eleonora Dagienė of Leiden University. Data was gathered from the Global Register of Publishers and is described in a 2023 preprint.
38,050 books submitted as research outputs to the UK's Research Excellence Framework (REF) in 2014 and 2021. The dataset includes ISBNs and metadata gathered from the Global Register of Publishers. It was compiled by Eleonora Dagienė of Leiden University.
Geoscience Australia assessed the geological CO2 storage potential of the Browse Basin offshore northwest Australia between 2013 and 2015. The study integrated data from over 60 wells, regional 2D/3D seismic surveys, and potential field data to identify prospective storage plays. Results indicate Lower Cretaceous basin margin plays and an Upper Cretaceous submarine fan play are potentially more prospective for CO2 storage.
Three viscous material mixtures—PP45, SCA705, and SCA7020—were analyzed for rheometric properties at the Helmholtz Laboratory for Tectonic Modelling. Rotational tests measured shear rates from 10^-4 to 1 s^-1, and temperature tests covered a range of 15 to 30°C. The dataset was produced by Frank Zwaan of the University of Bern and applied in Zwaan et al. (2020).
A 2001 survey dataset from the University of Chicago led by Barbara Schneider examines Jewish education and identity formation. It comprises three distinct surveys targeting parents, students, and teachers in Jewish schools across the United States. The data likely contains responses on religious practices, educational choices, family dynamics, and community involvement.
July 2020 traces from the Lisa cluster at SURFsara provide over 100 low-level, server-based metrics, including page-faults and NIC byte transfers. This archive offers the finest granularity among open-source traces, supplementing scheduler-level logs with OS-level operational data. The dataset is intended to help validate assumptions about large-scale systems and analyze full-stack datacenter performance.
96.25% accuracy on MNIST and 92.27% accuracy on the LC25000 lung subset were achieved by the Self-Supervised Mixer-to-Spike Learning (SMSL) framework. The dataset, authored by Ashif Al Nayem Zeesan and hosted on Harvard Dataverse, was last updated on 2026-07-21. It contains images for evaluating a hybrid spiking-neural network designed for cross-domain classification.
Forecasts of forced displacement one to three years into the future, generated by a machine learning model. The dataset is provided by the Danish Refugee Council and was last updated on July 15, 2026. It includes forecasts for internally displaced persons (IDPs), asylum seekers, and refugees.
A cross-sectional study of 200 weight management-related short videos collected from TikTok and Bilibili. The dataset includes quality and reliability scores (GQS and DISCERN) assigned by researchers, along with video characteristics like duration, likes, and uploader type. It was created by Jinsong Du and last updated in June 2026.
The Australian Exclusive Economic Zone contains seabed mud content data used to compare 18 spatial interpolation methods. A 2008 study compared 14 methods, and this work further tests machine learning methods combined with ordinary kriging and inverse distance squared. The dataset is associated with Geoscience Australia's Marine Samples Database and was published by the Australian Ocean Data Network.
New South Wales survey data tracks the main destinations of recent school leavers in the 6 to 12 months after leaving school. The dataset includes Year 12 completers and early school leavers, with time series data from 2014 to 2018 and a 2024 survey covering leavers from 2023. It is produced by the NSW Department of Education and uses weighted population estimates.
A 2026 update from the Department of Energy, Environment and Climate Action provides modelled spatial layers of coastal cliff instability along the Victorian coastline for a 2100 scenario with 0.8m sea level rise. The dataset includes outputs for both gradual toe erosion and episodic cliff instability events, superseding previous Stage 1 assessments. Application is recommended at statewide or regional scales, not for individual property assessments.
A 2025 update provides spatial layers modelling future coastal cliff instability along the Victorian coastline under a 1.1-meter sea level rise scenario by 2100. The dataset, produced by the Department of Energy, Environment and Climate Action, includes modelled outputs for toe erosion and episodic cliff instability. It is intended for statewide or regional scale assessment, not individual property analysis.
Two sets of data on giant crabs (Pseudocarcinus gigas) were collected by the Australian Ocean Data Network. The first set examines changes in egg composition during embryogenesis, and the second assesses the effects of female size on egg composition. The dataset was last updated on 2026-07-22.
The SW Approaches and surrounding offshore basins are the focus of this research. The dataset contains final products from a two-year post-doctoral project led by Durham University, funded by the North Sea Transition Authority. Deliverables include chronostratigraphic reviews, assessments of Variscan deformation impact, reservoir quality evaluations, and distribution maps for reservoirs and source rocks.