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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,490 datasets
Calderdale Metropolitan Borough Council provides data on the number of pupils on roll in its secondary schools, sourced from the termly school census. The dataset combines figures for both Academies and Local Authority Maintained Schools from October 2016 onward, though the May 2020 census was canceled due to the Covid-19 pandemic.
Pupil enrollment data from the termly school census for secondary schools in Calderdale, including Academies and Local Authority Maintained Schools. The dataset consolidates information from both school types starting October 2016, with Academy data available from October 2015. The May 2020 census was canceled due to the Covid-19 pandemic.
Calderdale Metropolitan Borough Council data tracks the number of pupils with English as an Additional Language (EAL) in secondary schools, including Academies and Local Authority Maintained Schools. The dataset originates from the termly school census, with consolidated publication starting from October 2016. The May 2020 census was cancelled due to the Covid-19 pandemic.
TorchGeo provides a collection of geospatial datasets, samplers, and pre-trained models for earth observation and remote sensing tasks. Developed by the TorchGeo organization and updated through March 2026, it standardizes access to satellite imagery within the PyTorch ecosystem. The library facilitates the integration of diverse geospatial data sources into deep learning workflows.
Replication data from Harvard Dataverse supports a study on how generative AI influences language, access, routines, and geopolitics in academic knowledge production. The dataset includes a questionnaire and SmartPLS outputs, suggesting it contains survey responses and structural equation modeling results. Its cross-platform presence indicates it is intended for replication and secondary analysis.
This dataset documents the county-level locations of Catholic missions in China as of 1919. It was created by Zhao, Yiling using methodology from Ma and Zhao (2025) and includes phonetic matching codes to link historical French Romanization to modern administrative units.
This dataset documents the county-level locations of Catholic missions in China as of 1919. It was created by Zhao, Yiling using methodology from Ma and Zhao (2025) and includes phonetic matching codes to link historical French Romanization to modern administrative units.
ABMIL Transfer Learning Merged Logs likely contains aggregated training logs from experiments using the Attention-Based Multiple Instance Learning (ABMIL) model. The dataset is published on Kaggle, but its specific creation date and author are unknown. Its content and scale must be verified after download.
A small collection of datasets for artificial grammar learning experiments. The dataset is hosted on Kaggle, but details on its author, size, and specific contents are not provided. Its intended use is likely for research in cognitive science and language acquisition.
London Borough of Barnet provides pupil allocation data for Secondary schools for the 2015/16 intake. The dataset details school placements for students in the borough. It is accompanied by a PDF document for reference.
School roll data details the number of pupils in each school within the London Borough of Barnet for the 2014/15 school year. The dataset is categorized by school type, including Primary, Secondary, and Special schools. It was published by the London Borough of Barnet organization.
Attendance details for primary schools in the London Borough of Barnet, covering the Spring and Summer terms from the 2012-13 to 2014-15 academic years. The dataset includes comparisons with other local authorities across England. It was published by the London Borough of Barnet.
Barnet, a London borough, provides data on pupil enrollment across its schools. The dataset lists counts by school and national curriculum year group, sourced from the London Borough of Barnet and last updated in March 2026.
A Memorandum of Understanding between the London Borough of Barnet and Barnet Education Learning Service. The document outlines a formal agreement for educational services, last updated in March 2026.
João Ferreira authored this replication dataset for the study 'Sibling Spillovers and Free Schooling,' forthcoming in the Review of Economics and Statistics. The data supports econometric analysis of how free schooling policies affect educational outcomes across siblings.
MetaCog-Eval is a dataset for measuring AI self-assessment and calibration. It was uploaded to the Kaggle platform. The dataset's author, organization, size, and specific contents are not detailed in the provided metadata.
An assessment of the potential for geological deposits like peat or alluvium to compress under load. The methodology is based on British Geological Survey digital stratigraphic linework and expert knowledge of formation behavior. Row count, column count, and specific data format are unknown.
An assessment of the potential for geological deposits, typically loess or loessic material, to collapse under critical load. The methodology is based on British Geological Survey digital stratigraphic linework and expert knowledge of formation behavior.
A British Geological Survey assessment of areas potentially affected by dissolution of soluble deposits like rock salt, gypsum, chalk, or limestone. The methodology uses BGS digital stratigraphic linework and expert knowledge of three-dimensional formation behavior.
Geohazard assessment of the shrink-swell potential of geological deposits, primarily clays, mudstones, and shales. The methodology integrates BGS digital stratigraphic linework, geotechnical properties, and expert knowledge of formation behavior. The dataset is produced by the British Geological Survey and was last updated in March 2026.