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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
15,169 datasets
Over 148,000 structural models for paired antibody sequences from the Observed Antibody Space (OAS) database, generated using the ABodyBuilder2 model. The dataset also includes the trained model weights for ABodyBuilder2, NanoBodyBuilder2, and TCRBuilder2, developed by Brennan Abanades at the University of Oxford. ImmuneBuilder models are reported to predict structures with state-of-the-art accuracy, such as a 2.86Γ RMSD for antibody CDR-H3 loops, and are significantly faster than AlphaFold2.
200,000 randomly generated toric varieties of Picard rank 2 with at worst terminal singularities, in dimensions 2 to 10. The dataset was created by Tom Coates of Imperial College London and colleagues, as detailed in a 2023 Nature Communications paper. Each variety is represented by a (2 x N+2)-matrix stored in plain text files.
Rounded student numbers for tertiary education in Victoria, Australia, covering the years 2016 to 2019. The dataset combines higher education data from the Australian Government Department of Education, Skills and Employment with vocational education data from the National Centre for Vocational Education Research. It was published by the City of Melbourne Open Data platform and last updated in June 2026.
Victoria's coastline is covered by a digital dataset of modelled erosion scenarios for cliffs. The dataset consists of multiple spatial layers projecting instability areas for 2070 under a 0.5-meter sea level rise scenario. It was produced by the Department of Energy, Environment and Climate Action and updated in June 2026.
Victoria's coastline is assessed for cliff instability risk under long-term climate change scenarios from 2070 to 2100. The dataset provides a regional-scale risk classification to support stakeholder discussions on coastal erosion and adaptation pathways. It was produced by the Department of Energy, Environment and Climate Action and updated in June 2026.
Victoria, Australia's coastline is assessed for cliff instability risk under medium-term climate change scenarios from 2040 to 2070. The Department of Energy, Environment and Climate Action produced this regional-scale risk classification to support stakeholder discussions on coastal erosion and adaptation pathways. The assessment is based on available data and coastal process understanding, with a technical report published in 2025.
Victorian Coastal Cliff Assessment - Risk Score datasets evaluate the likelihood and consequence of cliff instability to support risk management. The Department of Energy, Environment and Climate Action produced this regional-scale assessment, which was last updated on 2026-06-15. The data provides a top-down view of risk across coastal compartments under different climate change scenarios.
A baseline assessment project fills a critical information gap for dugong and turtle habitat management in a data-deficient region of the northern Torres Strait. The project, associated with the Australian Ocean Data Network, describes seagrass resources from 2015 to 2016. This information forms a foundation for ongoing monitoring and supports management plans for the Torres Strait Regional Authority and Australian and Queensland governments.
A digital spatial dataset from the Victorian Department of Energy, Environment and Climate Action models future coastal cliff erosion scenarios for the state of Victoria. The dataset includes layers for toe erosion and cliff instability, projecting conditions for the year 2040 under a 0.2-meter sea level rise scenario. It supersedes the Stage 1 assessment and was last updated in June 2026.
A 2013-2015 regional assessment of geological CO2 storage potential in Australia's Browse Basin, undertaken by Geoscience Australia as part of the National CO2 Infrastructure Plan. The study used an integrated approach, analyzing data from over 60 wells, 2D/3D seismic surveys, and potential field data to assess storage plays in the Cretaceous succession. Results indicate the Lower Cretaceous basin margin and Upper Cretaceous confined submarine fan plays are more prospective for CO2 storage.
A 2026 study from the Australian Ocean Data Network compares 18 spatial interpolation methods for predicting seabed mud content. The research uses samples from Geoscience Australia's Marine Samples Database (MARS) across three regions of the Australian Exclusive Economic Zone. It finds that combinations of Random Forest with ordinary kriging or inverse distance squared reduce prediction error by up to 19%.
Experimental data accompanies the paper 'Demonstration of a Quantum Switch in a Sagnac Configuration' (arXiv:2211.12540v1). The dataset contains integrated coincidence counts and polarization tomography measurements from a quantum optics experiment. It was authored by Teodor StrΓΆmberg from the University of Vienna.
2,085 peer-reviewed articles from Tampere University researchers in 2020 and 2021 were analyzed for Data Availability Statements (DAS). The dataset, created by Kaisa KylmΓ€lΓ€, records the presence, location, and content of DAS, including details on data openness and restrictions. It also includes journal and publication information extracted from the TUNICRIS system.
Seven first-order coastal cells delineate the entire Northern Ireland coastline. Boundaries were identified using historical Ordnance Survey maps, aerial photographs, and expert geomorphological knowledge, and are classified as either littoral drift divides or sediment sinks. This spatial tool is designed for calculating sediment budgets and managing coastal change.
Annual financial data derived from education outturn statements submitted by UK Local Authorities under the Schools Standards and Framework Act 1998. The dataset, published by the Department for Education, shows the total revenue balance for each school. It is designated as Official Statistics not designated as National Statistics.
Annual results from 2008 onward for the Early Years Foundation Stage Profile assessments in England. The dataset contains national and Local Authority level results measuring achievements of children aged five against 13 assessment scales grouped into six learning areas. It is published by the UK Department for Education as part of a statistical series.
A marine survey dataset from the northern Lord Howe Rise and Gifford Guyot in the southern Pacific Ocean, spanning depths of 250 to 2,200 meters. The dataset includes 42 towed-video stations yielding 32 hours of seabed video, 6,229 photographs, and 3,413 seabed characterizations of physical and biological variables, plus sediment and biological samples from 36 stations. It was aggregated by the Australian Ocean Data Network and last updated in June 2026.
Global Affairs Canada published a Privacy Impact Assessment (PIA) for its ccmMercury workflow system. The PIA was developed to meet the Department's commitment to protecting personal information and the Management of Information Technology Security requirements for major services. The ccmMercury system, developed by WorkDynamics Technologies Inc., has been in use at the department since 2001.
A Privacy Impact Assessment document for the Dialogue web application developed by Global Affairs Canada. The application is used by the Centre for Learning for International Affairs and Management to produce customized 360 and 180 degree feedback questionnaires and reports. The assessment was developed to meet departmental commitments to personal information protection and Management of Information Technology Security requirements.
A Privacy Impact Assessment report for the Export and Import Controls System (EICS) operated by Global Affairs Canada. The document identifies and assesses privacy risks, concluding with low-level risks requiring mitigation in areas of consent and collection. It was last updated on July 9, 2026, and is published under the OGL-CA-2.0 license.