Loading...
Loading...
Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
15,121 datasets
The Sustainable Trade Impact Assessment (STIA) is Canada's new integrated model for evaluating the effects of trade negotiations on people, communities, and the environment. It replaces two previous processes, the Environmental Assessment and Gender-Based Analysis Plus, and will be used for all new trade negotiations starting in 2025. This framework is published by Global Affairs Canada under the OGL-CA-2.0 license and was last updated on July 20, 2026.
14,204 seabed sediment samples from the Australian Marine Samples database underpin spatial predictions used for offshore resource management. The study analyzes how including 7,000+ excluded dredged samples affects prediction accuracy for mud content in two contrasting marine regions. Research from the Australian Ocean Data Network compares predictive errors from Inverse Distance Weighting and Ordinary Kriging methods.
A satellite-derived assessment of flood and landslide impacts along several rivers in South Africa as of April 2022. The dataset was produced by the United Nations Satellite Centre (UNOSAT) and is available in SHP and GEODATABASE formats. It likely contains geospatial features documenting inundated infrastructure, damaged roads, and landslides.
A 303.3 MB dataset in XYZ format organized into three subsets for developing electronic-entropy-embedded Machine Learning Interatomic Potentials (MLIPs). It was created by Steen Lysgaard and last updated in June 2026. The data is derived from polyanionic sodium cathode materials and includes structures for training, benchmarking, and analyzing electronic entropy contributions.
A register of previously developed land considered suitable, available, and achievable for residential development, maintained by the Reigate and Banstead Borough Council. The register includes sites with planning permission, sites allocated in Local Plans, and sites identified through housing land availability assessments. It is published under the OGL-UK-3.0 license and was last updated on 2026-07-08.
Every Health and Wellbeing Board in the UK produces a Joint Strategic Needs Assessment (JSNA). The York JSNA, a shared responsibility between City of York Council and NHS Vale of York Clinical Commissioning Group, focuses on four key areas: Starting and Growing Well, Living and Working Well, Ageing Well, and Mental Health. It was last updated on 2026-07-08 and is published under the OGL-UK-3.0 license.
Giga and the Djibouti Ministry of National Education and Vocational Training (MENFOP) collected and validated this dataset. It contains location, name, education level, and connectivity status for 428 schools in Djibouti. The data was sourced from Giga Maps, a global map of schools and their connectivity, and was last updated on 2026-06-24.
Historic water quality grades for phosphate and nitrate in Welsh rivers and canals from 2010, based on the General Quality Assessment Headline Indicator scheme. The Environment Agency collected data from approximately 800 sampling sites covering about 4700 km of watercourses. The scheme graded nutrient concentrations on a scale from 'Very low' to 'Excessively high' to provide a consistent assessment of water quality.
The Environment Agency's General Quality Assessment Headline Indicator (GQAHI) scheme provides a national assessment of nutrient levels in rivers and canals across England for 2009. This dataset contains phosphate concentration grades, derived from a network of over 3000 sampling sites representing approximately 22,500 km of watercourses. The 2009 data marks the final year of this specific assessment scheme, which graded nutrient levels on a relative scale from 'Very low' to 'Excessively high'.
Wales maintained a full General Quality Assessment network until 2010 based on 800 sampling sites covering approximately 4700km of watercourses. The dataset grades nitrate concentrations in rivers and canals on a scale from 'Very low' to 'Very high', providing a consistent assessment of water quality. It was produced by the Environment Agency and represents the final year of the scheme in 2009.
Over 3000 sampling sites provide nitrate quality grades for approximately 22500 km of watercourses in England for 2009. The General Quality Assessment Headline Indicator scheme was the Environment Agency's national method for creating a water quality indicator based on rivers and canals. This record covers the final year of the scheme, with data graded from 'Very low' to 'Very high' based on nitrate concentrations.
Photographs of butterfly wings taken by Eva Whiltshire at the University of Cambridge's Butterfly Genetics Group between October 2017 and March 2018. The collection includes specimens from wild collections across H. m. plesseni/malleti and H. e. notabilits/lativitta hybrid zones on the Eastern slope of the Andes, collected from 2009 to 2011. Individual sample information is available via a public Earthcape database, and the dataset is a second version with labeling errors fixed.
SNEMI3D is a challenge dataset for training machine-learning algorithms to automatically segment neurites in 3D from electron microscopy (EM) image stacks. The large training dataset consists of manually delineated neurites from mouse cortex, produced by the Lichtman Lab at Harvard University and annotated by Daniel R. Berger. The challenge was organized in conjunction with the ISBI 2013 conference to gauge the state-of-the-art in automated neurite segmentation.
Seagrass carbohydrate content and percent cover data collected quarterly since 2008 for the Great Barrier Reef Marine Monitoring Program. The project aims to refine biological indicators for seagrass condition assessment and develop calibration formulae to convert cover to biomass. Data is managed by the Australian Ocean Data Network and was last updated in July 2026.
Protein-ligand structures from PDBBind (v2019) and protein structures from an enzyme dataset are provided. The data supports the paper 'Multi-Scale Representation Learning on Proteins' by Vignesh Ram Somnath of ETH Zurich. It is used for tasks like ligand binding affinity regression and protein function prediction.
7,400 hectares of mangrove forest suffered dieback along a >1,000km coastline in late 2015, marking the largest such natural event ever recorded. The dataset from James Cook University and the Australian Ocean Data Network assesses the extent and patterns of this dieback from 2018 to 2020. It includes field surveys and Landsat analysis to evaluate recovery and inform future monitoring.
NESP TWQ Project 5.7 by AIMS provides a desktop analysis of coral bleaching observations from the Great Barrier Reef following events in 2016 and 2017. The analysis delivered a quantitative assessment of spatial variability in bleaching severity and mortality, a comparison of observations from multiple organizations, and science communication materials. The project extended on temperature logger analysis from a prior NESP project.
OpenStreetMap data on education facilities in Burkina Faso, including schools, kindergartens, colleges, and universities. The dataset is provided by the Humanitarian OpenStreetMap Team (HOT) and was last updated on 2026-06-20. Coverage reflects volunteer mapping activity and may be sparse in remote areas.
Mali'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. Coverage likely reflects volunteer mapper activity, with urban areas typically better represented than remote regions.
A list of dams in Queensland, Australia, classified as referable based on a failure impact assessment. The register includes dams that have, or will have, a Category 1 or Category 2 failure impact rating. It is published by the Queensland Department of Regional Development, Manufacturing and Water and was last updated in July 2026.