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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,451 datasets
OpenStreetMap data on education facilities across Australia, exported by the Humanitarian OpenStreetMap Team. The dataset includes schools, kindergartens, colleges, and universities tagged via `amenity` or `building` keys. It was last updated on 2026-05-15.
Vaia Nalbanti's experimental study provides data on renal cortical oxygenation, hemodynamics, and respiratory parameters in eight dogs under elevated intra-abdominal pressure. The dataset, last updated in 2026, includes measurements of renal partial tissue oxygen tension, urine output, arterial blood gases, and lung compliance at baseline, 15 mmHg, 30 mmHg, and after decompression. The findings demonstrate significant renal hypoxia and reduced diuresis during intra-abdominal hypertension.
Brazil's education facilities exported from OpenStreetMap, including schools, kindergartens, colleges, and universities. The data is contributed by volunteers and its completeness likely varies, with urban areas being more thoroughly mapped than remote regions. It was last updated on 2026-05-15.
HeiGIT's GAIA Pipeline provides eight indicator layers for structured risk assessment in North Korea. The data integrates open sources like WorldPop, OpenStreetMap, and Google Earth Engine, aggregated to admin level 2 boundaries. It was last updated on 2026-04-13.
Junqiang Wang's dataset contains 1,938 valid questionnaire responses from postgraduate students at Kunming Medical University, collected between October 2022 and October 2024. The data was used to analyze the impact of a BOPPPS-based blended teaching model on cognitive performance in a Clinical Epidemiology course using a decision tree model. The study found 90.2% of students demonstrated strong overall cognitive performance.
Ethiopian health data from Sidama, Amhara, Oromia, and South Ethiopia regions collected in 2025. The dataset contains quantitative client exit interviews with adolescent girls and young women, qualitative key informant interviews with health workers, and routine health management information system data. It was created by Meghan Cutherell and shared under a CC-BY-4.0 license.
Global firm-level data and code supporting a study on the carbon footprints of tourism enterprises. The repository contains processed data for figures and tables, cluster labels, and decomposition outputs from the EMERGING MRIO database. It was authored by Qingyu Hao and last updated in June 2026.
Australian Ocean Data Network hosts a dataset from a survey of the northern Lord Howe Rise and Gifford Guyot in the southern Pacific Ocean. The data includes 42 towed-video stations capturing 32 hours of seabed video, 6,229 photographs, 3,413 seabed characterisations, and sediment and biological samples from 36 stations. The survey, last updated in 2026, aimed to examine physical variables as surrogates for predicting biological assemblages in deep-sea environments.
Fire severity classification of bushfires impacting approximately 1.5 million hectares of predominantly forested public land in eastern and north-eastern Victoria and southern New South Wales between November 2019 and March 2020. The Department of Energy, Environment and Climate Action produced this map using a machine learning classification of Sentinel 2 satellite imagery, trained on high-resolution aerial imagery from the 2018/19 season. The data provides six severity classes for woody vegetation, with an estimated overall model accuracy of 85%.
Education facilities in Singapore, including schools, kindergartens, colleges, and universities, exported from OpenStreetMap. The data is contributed by volunteers and maintained by the Humanitarian OpenStreetMap Team, with a last recorded update in May 2026. Completeness of the map data varies by region, with urban areas likely being more detailed than remote ones.
An OpenStreetMap export of education facilities in North Korea, including schools, kindergartens, colleges, and universities. The data is contributed by volunteers and its completeness likely varies, with urban areas potentially better mapped than remote regions. It was last updated on 2026-05-14 by the Humanitarian OpenStreetMap Team.
A 2026 technical report from the NESP Marine and Coastal Hub, hosted by the Australian Ocean Data Network, reviewing Australia's national capability for harmful algal bloom (HAB) surveillance, forecasting, and response. The project was prompted by the 2025 South Australian HAB event and examines monitoring systems, research, and policy across Commonwealth, state, and territory jurisdictions. Outputs include an assessment of current capabilities and recommendations for improving national preparedness.
New South Wales government school student attendance data for semester one from 2012 to 2025, excluding 2020 due to COVID-19. The bulletin, published by the NSW Department of Education's Centre for Education Statistics and Evaluation, presents attendance rates for primary and secondary students, with separate analysis for Aboriginal students, absence reasons, and attendance levels. Data is provided in PDF format under a CC-BY-4.0 license.
Data Sheet 1 from a retrospective pilot study by Shibao LI, evaluating a Government–School–Enterprise–Association (GSEA) intervention from 2023 to 2025. The dataset likely contains results from stakeholder surveys (n=326), interviews (n=28), and administrative panel data (n=1,200 students) analyzed using structural equation modeling. It was published on figshare in 2026 under a CC-BY-4.0 license.
A retrospective evaluation of a government–school–enterprise–association (GSEA) pilot intervention in a prefecture-level city in eastern China from 2023 to 2025. The dataset, authored by Shibao LI and shared under CC-BY-4.0, includes survey, interview, and administrative panel data from 326 stakeholders, 28 interviews, and 1,200 students. It was analyzed using structural equation modeling to examine associations with workforce development outcomes.
South Korea's education facilities, including schools, kindergartens, colleges, and universities, exported from OpenStreetMap. The data is contributed by volunteers and maintained by the Humanitarian OpenStreetMap Team (HOT). It was last updated on 2026-05-14.
18 Local Government Areas in New South Wales assessed roadside reserves using a standard Rapid Assessment Method. Local Government NSW facilitated the project, funded by the NSW Environmental Trust, resulting in a line spatial dataset. The dataset classifies conservation value as High, Medium, or Low.
A national assessment integrates Underwater Visual Census data from multiple sources to update the state of Australian reefs. Maps and indicator trends show changes in reef health from 2005 to 2020. The project includes population trajectories for 600-1000 reef species to inform threat status assessments.
Approximately 16,000 synthetic avatar images and 100 labeled synthetic avatars for training and validating automated assessment tools for cervical dystonia. The dataset was created by Roland Stenger to overcome the scarcity of clinical training examples for translational symptoms like lateral shift. It was last updated on May 31, 2026.
16,000 synthetically generated frontal-view human avatar images with ground-truth labels for lateral-shift estimation. The dataset was created by Roland Stenger using a scripted Blender pipeline with the MPFB add-on and was last updated on May 31, 2026. It includes raw renders, JSON labels with precise rig parameters, preprocessed segmentation maps, and trained model weights.