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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,195 datasets
12 participants aged 60-78 evaluated two literacy applications designed for children. The dataset contains Technology Acceptance Model questionnaire responses, emotional evaluation records using Emocards, and anonymized participant profiles. Materials support transparency and replicability of the study.
Published on 2026-04-16 by the London Borough of Camden, this dataset contains Data Protection Impact Assessment (DPIA) pre-screens. A DPIA pre-screen is a shortened version of a full assessment used to determine if a full DPIA is required for new or changed data processing. These assessments are published in accordance with the Council's Data Charter and GDPR/Data Protection Act 2018.
A geospatial model predicting the suitability for growing Brassica crops in 2050 within the Southern Grampians Shire Council area. The model was developed by Deakin University for the Southern Grampians Shire Council as part of a Land Use Capability project. The dataset is available in multiple formats, including GeoJSON, CSV, and shapefiles, and was last updated in March 2026.
Robustness check results from a study examining peer effects in a fully remote workforce. The dataset likely contains statistical outputs from a panel data analysis leveraging as-if random assignment of new hires to teams. It was authored by Hideaki Ishikura and last updated in March 2026.
Panel data from a company operating with an entirely remote workforce since its inception. The dataset was used in a study leveraging as-if random assignment of new hires to teams as a quasi-natural experiment. It was authored by Hideaki Ishura and last updated on March 17, 2026.
Hideaki Ishikura's dataset from 2026 examines peer effects in a fully remote workforce. It uses panel data and quasi-random assignment of new hires to teams as a natural experiment. The data is stored in an XLS file and is 5.5 KB in size.
5.5 KB of ANOVA test results from a study of peer effects in a fully remote workforce. Hideaki Ishikura used panel data and quasi-random team assignment to analyze productivity impacts, finding a 12.2% increase on teams with highly experienced members. The dataset was last updated on March 17, 2026.
9.5 KB of panel data from a fully remote company examines peer effects on employee productivity. Hideaki Ishikura authored the study, which was last updated on March 17, 2026. The data leverages as-if random assignment of new hires to teams as a quasi-natural experiment.
A panel dataset from a company operating with a fully remote workforce since its inception. The data was used in a study leveraging as-if random assignment of new hires to teams as a quasi-natural experiment. The dataset, last updated in March 2026, examines the effects of teammate productivity and experience on individual worker output.
Panel data from a company with a fully remote workforce, used to examine peer effects on employee productivity. The dataset, authored by Hideaki Ishikura and last updated on 2026-03-17, leverages as-if random assignment of new hires to teams as a quasi-natural experiment. It is a 9.5 KB XLS file shared under a CC-BY-4.0 license on figshare.
The World Bank Group provides this collection of education indicators for Zimbabwe, sourced from UNESCO Institute for Statistics surveys and official reports. The data tracks education inputs, participation, efficiency, and outcomes through March 2026. It is delivered in CSV format under a CC-BY license.
Education indicators for Zambia covering participation, efficiency, and outcomes compiled by the World Bank Group. The data is sourced from UNESCO Institute for Statistics surveys and official reports from national education authorities, with the latest update recorded in March 2026.
Supplying education indicators for the Republic of Yemen, compiled by the World Bank Group from UNESCO Institute for Statistics surveys and official government reports. It includes metrics on education inputs, participation, efficiency, and outcomes, with the most recent update recorded in March 2026.
Giving access to education indicators for Samoa, covering inputs, participation, efficiency, and outcomes compiled by the World Bank Group. The data is sourced from official UNESCO Institute for Statistics surveys and reports provided by Samoan education authorities, with the most recent update recorded in March 2026.
21,994 images for binary damage classification (damage vs. no damage) across four natural disaster events. The dataset was created by author 'abalhomaid' and is hosted on Hugging Face. It covers the 2016 Ecuador Earthquake, 2015 Nepal Earthquake, 2016 Hurricane Matthew, and 2014 Typhoon Ruby.
Vanuatu education indicators covering participation, efficiency, and outcomes, compiled by the World Bank Group from UNESCO Institute for Statistics data. The collection is based on official survey responses and reports from national education authorities, last updated in March 2026. The data is provided in a tabular CSV format for longitudinal analysis.
Vietnam's national education indicators are compiled here by the World Bank Group using data from the UNESCO Institute for Statistics. The collection includes metrics on education inputs, participation, efficiency, and outcomes derived from official government surveys and reports updated through March 2026.
Giving access to education indicators for the U.S. Virgin Islands, compiled by the World Bank Group from UNESCO Institute for Statistics reports. It covers metrics related to education inputs, participation, efficiency, and outcomes, with the most recent update recorded in March 2026. The data is derived from official surveys and reports provided by national education authorities.
A source of education indicators for the British Virgin Islands, compiled by the World Bank Group from UNESCO Institute for Statistics data. It covers metrics on education inputs, participation, efficiency, and outcomes, with the most recent update recorded in March 2026.
Venezuela education indicators covering participation, efficiency, and outcomes, compiled by the World Bank Group from UNESCO sources. The data is provided in CSV format and was last updated in March 2026.