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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,526 datasets
Search strategies for retrieving articles on simulation and surgery from three major biomedical databases: MEDLINE All (Ovid), Embase (Ovid), and Cochrane Database of Systematic Reviews (Ovid). The strategies are documented in RTF files, which also list the number of results retrieved for each database. It was authored by Monique Clar and last updated in February 2026.
Everyday Object Cat.: Multi-Task Learning Dataset is a computer vision dataset hosted on Kaggle. Its title suggests it contains images of common objects, likely intended for training models on multiple related tasks. The dataset's specific size, origin, and update history are not provided in the available metadata.
Data from a study assessing the psychometric properties of the Burnout Assessment Tool (BAT) among Iranian physicians. The study measures six dimensions of burnout in a high-risk occupational group.
Student performance data intended for predictive modeling of academic outcomes. The dataset was sourced from Kaggle, but its author, organization, and specific collection details are unknown. The number of records, features, and last update date are not provided.
Early Detection of Lymphoma Cancer Using Machine Learning and Explainable AI is a dataset from Kaggle. Its description indicates a focus on applying machine learning and explainable AI techniques for medical diagnosis. Specific details on data volume, source, and creation date are not provided.
Teacher data sourced from the Kaggle platform. The dataset's specific content, such as demographics, qualifications, or performance metrics, is not detailed in the available metadata. Its scale, origin, and creation date are unknown.
Giving access to the data and code to replicate all tables and figures from the study 'Teacher Testing Standards and the New Teacher Pipeline' published in the Journal of Human Resources. It was authored by Marc Law and is hosted by Harvard Dataverse.
Kaggle hosts a Student Performance Prediction Dataset focusing on marks, study habits, sleep, and distractions. The dataset's creator, size, and specific temporal details are not documented. It is intended for analysis of factors influencing academic outcomes.
A dataset concerning student performance, published on the Kaggle platform. The specific source, collection method, and temporal coverage are not detailed in the provided metadata. The dataset likely contains metrics related to academic achievement, though the exact columns and scale are unknown.
School-scores likely contains performance metrics for educational institutions or students. Published on Kaggle, the dataset's specific content, size, and origin are unknown. Users must download the data to verify its scope and structure.
A source of anonymized, emblematic examples from a research corpus on cosplayers' participatory prosumption and self-techniques. The data was processed to preserve participant identity and was used to illustrate findings for a study published in the Journal of Contemporary Administration. The row count, column count, and specific data structure are unknown.
A collection of hands-on internship projects for data science and machine learning, hosted on the Kaggle platform. The dataset likely contains project descriptions, code, and results from practical learning exercises. The author, organization, and specific temporal coverage are unknown.
Syahrul Amin, R. L. Sansom, and T. Poulsen authored these supplementary appendices for a 2026 manuscript submitted to the Professional Development in Education Journal. The collection supports social science research using the RSIENA framework and was last updated in March 2026.
Simulated data for analyzing revenue and cancellation patterns in a tutoring business. The dataset's creator, size, and temporal coverage are unknown. It originates from the Kaggle platform.
Curated by modenaxe and updated in March 2026, this repository serves as a central index for biomechanics and human motion analysis resources. It organizes links to external datasets, musculoskeletal simulation software, and educational lectures into a single markdown-based directory.
AiTLAS is a collection of satellite imagery datasets and benchmarks for Earth observation, developed by biasvariancelabs and updated in March 2026. It provides labeled Sentinel satellite data for training and evaluating deep learning models across classification, detection, and segmentation tasks.
The 2017 National Financial Well-Being in America Survey, an online survey conducted for the Consumer Financial Protection Bureau to measure the financial well-being of adults in the United States. It was created as a foundation for research into financial well-being.
This dataset tests the hypothesis that significant early-career research achievements predict notable late-career achievements among political science faculty. The analysis uses valid measures and rigorous multivariate methods on a sample of three annual temporal cohorts. The findings provide a foundation for research on how innate abilities, doctoral programs, and academic positions shape long-term productivity.
This dataset describes the career progression of Japanese researchers from doctoral graduation to assistant and full professor appointments, covering a 50-year period from 1970 to 2024. It includes a standardized mapping of over 9,500 institutions and is derived from aggregated researchmap profiles.
AccessScience is an authoritative online resource containing incisively written, high-quality educational material covering all major scientific disciplines. It is authored by Steven Gustafson and serves as a gateway to scientific knowledge. The resource is continually expanding its methods for demonstrating and explaining core, trustworthy scientific information.