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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,411 datasets
The VTDEC Lake Assessment Program collects water quality and biological data to permit use support designations for Aquatic Life, Aesthetic, and Contact uses, consistent with the Clean Water Act. Data is available for up to 230 Vermont lakes and ponds greater than 20 acres in size. The dataset was last updated in June 1999.
The Fruit and Vegetable Freshness Dataset is a collection of images for training deep learning models. The description indicates it is designed for a feature-driven explainable machine learning approach to assess produce quality. The dataset's author, organization, size, and specific collection details are unknown.
Synthetic data provides a controlled environment for testing classification algorithms. This dataset contains generated measurements for flowers, designed for machine learning tasks. The author, platform, and specific scale are not detailed in the provided metadata.
LabFinalExam35 is a dataset published on Kaggle, likely containing student performance data for a final laboratory examination. The dataset's author, organization, and specific details like size and columns are currently unknown. Users should verify the actual content and structure after download.
LabFinalExam35-ii appears to be a dataset related to student performance on a final laboratory examination. Its title suggests it likely contains scores or assessment results from an educational context. Published on Kaggle, the dataset's specific content and structure require verification after download.
Deep-Learning-for-PDEs-A-Hands-On-Guide is a dataset published on Kaggle. Its title suggests it contains data related to applying deep learning techniques to solve partial differential equations. The dataset's specific content, size, and authorship are unknown from the provided metadata.
LMS-based student performance analytics likely derived from a Learning Management System. The dataset's specific temporal coverage, size, and authorship are unknown. It is hosted on Kaggle, a platform for open data sharing.
A collection of medical images for spinal analysis, likely focusing on the lumbar vertebrae region. The dataset is intended for developing and evaluating deep learning approaches for precise segmentation tasks. The dataset's author, organization, and specific collection details are not provided.
WaterWatch.AI boat data example is a dataset hosted on Kaggle. The title suggests it contains information related to watercraft, likely derived from satellite or aerial imagery for AI model demonstration. The dataset's specific content, scale, and origin are not detailed in the available metadata.
Systems Training Application and Information Reporting System (STAIRS) data is used by the Social Security Administration's Systems Training, Communications & Recruitment Branch to coordinate employee training. The data likely contains records for scheduling courses, enrolling students, recording evaluations, and tracking completion. The dataset was last updated on 2026-04-03.
Solar irradiance measurements from a monitoring station at the University of Texas Panamerican in Edinburg, Texas. It tracks global horizontal, direct normal, and diffuse horizontal irradiance to quantify solar energy at this location.
This dataset supports a study examining the sensitivity of value-added model (VAM) estimates to different test scoring methods. The analysis uses empirical item response data from 18 distinct education datasets to compare estimates derived from methods like mean scores versus item response theory scores. It finds that scoring choices can lead to variations of over 20 percentile points in teacher or school rankings.
Peninsular Malaysia's 2018 land use is mapped at a 25-meter grid resolution. The dataset includes nine distinct land cover classes such as non-paddy agriculture, paddy fields, and urban residential areas. It was created for the 'Malaysia - Flood Impact Across Scales' project funded by the Newton-Ungku Omar Fund.
Secure archival records feature immutable provenance and access tracking logs. The dataset appears to document the chain of custody and usage history for digital assets within a university archive. Specific details on the data's creator, size, and collection period are not provided in the available metadata.
1,100 unpublished university-level math problems sourced from real teaching materials, designed to evaluate the mathematical reasoning of Large Language Models. The benchmark is balanced across six core topics and includes 20% multimodal problems with visual elements. It was created by Toloka and last updated on 2026-01-30.
Points of Interest with pictures describe leisure destinations in and around Trier, Germany. The dataset includes excursion spots, indoor and outdoor activities, bike rentals, playgrounds, parks, educational trails, and swimming pools. It is provided by the Bundesamt für Kartographie und Geodäsie via an OGC WFS interface and was last updated on 2026-02-17.
Points of Interest for leisure time in and around Trier, Germany, including swimming pools, parks, and playgrounds. The dataset is provided by the Bundesamt für Kartographie und Geodäsie via an OGC API Features service and was last updated on February 17, 2026. Some entries likely contain photographs, as suggested by the description.
Points of Interest (POIs) for leisure time in and around Trier, Germany, including excursion destinations, indoor and outdoor activities, bike rental stations, playgrounds, parks, green areas, educational trails, and swimming pools. The dataset is provided by the Bundesamt für Kartographie und Geodäsie via an OGC WFS interface and was last updated on 2026-02-17.
A collection of every professor and every review for the University of Oregon as of May 3, 2026. The dataset likely contains textual feedback and associated ratings for faculty members. The source and specific collection method are not detailed in the provided metadata.
Replication files for a study analyzing the educational outcomes of surviving siblings following a sibling's death. The data is derived from the Indonesian Family Life Survey (IFLS) and includes a main sample in dta format with a do file for regression analysis. The dataset was authored by Thamarapani, Dhanushka and last updated on March 17, 2026.