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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
15,090 datasets
OpenStreetMap data for Bahrain's education facilities, including schools, kindergartens, colleges, and universities. The dataset is tagged via `amenity` or `building` keys and was last updated on 2026-06--26. It is provided by the Humanitarian OpenStreetMap Team (HOT) as part of their exports grid on HDX.
Bulgaria's education facilities, including schools, kindergartens, colleges, and universities, are mapped via OpenStreetMap tags. The data is provided by the Humanitarian OpenStreetMap Team and was last updated on 2026-06-26. It is useful for mapping school access, education planning, and resource allocation.
Benin's education facilities, including schools, kindergartens, colleges, and universities, tagged via OpenStreetMap's `amenity` or `building` keys. The data is sourced from the free, collaborative OpenStreetMap project and is provided by the Humanitarian OpenStreetMap Team (HOT). It was last updated on 2026-06-26.
OpenStreetMap data for schools, kindergartens, colleges, and universities across Belgium. The dataset is created by volunteer mappers and is useful for mapping access to education. It was last updated on 2026-06-26 by the Humanitarian OpenStreetMap Team.
Education facilities in Burundi, including schools, kindergartens, colleges, and universities, tagged via OpenStreetMap's `amenity` or `building` keys. The dataset is provided by the Humanitarian OpenStreetMap Team (HOT) and was last updated on 2026-06-26. Coverage reflects where volunteer mappers have been active, with urban areas likely better represented than remote ones.
Azerbaijan's education facilities, including schools, kindergartens, colleges, and universities, are mapped via OpenStreetMap tags. The data is sourced from the collaborative OpenStreetMap project and exported by the Humanitarian OpenStreetMap Team. It was last updated on 2026-06-26.
Austria's education facilities, including schools, kindergartens, colleges, and universities, are mapped via OpenStreetMap tags. The dataset is produced by the Humanitarian OpenStreetMap Team (HOT) and was last updated on 2026-06-26. Coverage likely reflects volunteer mapper activity, with urban areas typically better represented than remote regions.
Annual self-assessment scores from the State Library of Queensland's Open Data Pathway maturity tool. The dataset contains results from assessments based on themes like Data management processes and Strategic oversight, used to identify areas for improvement. It is published by the State Library of Queensland under a CC-BY-4.0 license and is scheduled for review in 2026-27.
OpenStreetMap data on schools, kindergartens, colleges, and universities in Armenia, tagged via `amenity` or `building` keys. The dataset is compiled by the Humanitarian OpenStreetMap Team (HOT) and was last updated on 2026-06-25. Coverage reflects volunteer mapper activity, with urban areas likely better represented than remote regions.
OpenStreetMap data on education facilities in the United Arab Emirates, including schools, kindergartens, colleges, and universities. The dataset is derived from a free, collaborative world map and was last updated on 2026-06-25. It is provided by the Humanitarian OpenStreetMap Team (HOT) as part of their exports grid on the HDX platform.
OpenStreetMap data on education facilities in Andorra, including schools, kindergartens, colleges, and universities. The dataset is provided by the Humanitarian OpenStreetMap Team (HOT) and was last updated on 2026-06-25. Coverage reflects volunteer mapping activity and may be sparse in remote areas.
Education facilities across Nigeria, including schools, kindergartens, colleges, and universities, tagged via OpenStreetMap's `amenity` or `building` keys. The data is sourced from the collaborative OpenStreetMap project and was last updated on 2026-06-25. Coverage likely reflects areas where volunteer mappers have been active.
Magdalena Bennett of Columbia University presents a methodological paper and accompanying simulation data for a new matching algorithm for observational studies. The approach is designed to handle multi-valued treatments, create representative samples, and scale to hundreds of thousands of observations. The method is illustrated with an observational study on the impact of an earthquake on school attendance and college admission test scores.
A 2018 dataset from Tampere University of Technology contains simulated anechoic Ambisonic recordings of 11 sound event classes, such as coughing, door knocks, and speech. It includes three sub-datasets with up to three temporally overlapping sound events, each with cross-validation splits totaling 240 training and 60 test recordings of about 30 seconds each. Each recording is paired with metadata specifying the event's name, timing, and spatial location in azimuth, elevation, and distance.
240 training and 60 test recordings, each about 30 seconds long, simulate first-order Ambisonic audio with up to three overlapping sound events. The dataset, created by Sharath Adavanne at Tampere University, uses 11 sound event classes from the DCASE 2016 task 2 dataset, spatially placed in a simulated 10x8x4 meter room. Each recording includes metadata with event timings and spatial coordinates in azimuth, elevation, and distance.
Tampere University of Technology's dataset contains simulated anechoic recordings of 11 sound event classes, such as coughing and door knocks, with stationary point sources. It includes three sub-datasets for varying levels of temporal overlap, each with cross-validation splits totaling 240 training and 60 testing recordings of about 30 seconds each. The dataset was created by Sharath Adavanne for research on sound event localization and detection of overlapping sources.
Higher Qualifications is a statistical bulletin covering qualifications at Level 4 and above, excluding university degrees. The data is produced by the Office of Qualifications and Examinations Regulation (Ofqual) using submissions from awarding organisations. The bulletin was last updated on 2026-07-08.
The Section 251 Outturn collection provides details on local authority spending for education, children's services, and social care, including school balances. Data is collected from schools and local authorities by the UK Department for Education and designated as Official Statistics. The dataset was last updated on 2026-07 08.
A geospatial dataset from the UK Environment Agency models the maximum speed of flood flow from surface water for a flood with a 3.3% annual probability. The data, grouped into five speed bands, is part of the Risk of Flooding from Surface Water (RoFSW) mapping suite, previously known as the updated Flood Map for Surface Water. It is intended for strategic planning and is not suitable for property-level assessment or as sole evidence for regulatory decisions.
Environment Agency GIS layers model the maximum speed of flood flow from surface water for two annual exceedance probabilities. The data, grouped into five speed bands, is part of the Risk of Flooding from Surface Water (RoFSW) mapping. It is intended for strategic planning and is not suitable for property-level assessment.