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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,330 datasets
Priority Placement Areas for colleges in the Australian Capital Territory, as defined in 2018. The dataset was published by the ACT Government Open Data and is scheduled for archival upon the release of new schools data.
ACT Government Open Data provides Priority Placement Areas (PPA) for primary schools in the Australian Capital Territory. The dataset, authored by Lou Huang, was last updated in March 2026. It is available in multiple formats including XML, CSV, RDF, and JSON.
A case study demonstrating how educational materials can achieve useful goals regardless of length. The dataset was authored by David Topps and is hosted by Borealis Harvested Dataverse. It was last updated on April 25, 2026.
A benchmark for tsunami model validation based on the 2004 Indian Ocean tsunami. The dataset incorporates geodetic earthquake measurements, satellite altimetry, eyewitness accounts, and a detailed inundation survey of Patong Bay, Thailand. It validates all three stages of tsunami evolution: generation, propagation, and inundation.
A dataset related to machine learning, published on the Kaggle platform. The specific content, size, and structure are unknown from the provided metadata. Columns, sample data, and other details require verification after download.
A curated collection of prompts for various AI applications. The dataset likely contains examples for tasks such as summarization, coding, and analysis. The author, organization, and last update date are unknown.
Foundational ASSIST contains between 1 and 10 million records of natural text math problems and student answers sourced from the Illustrative Mathematics 6th-8th grade curriculum. Developed by ASSISTments and updated in March 2026, it provides raw text data for educational research aligned with U.S. Common Core standards.
The United States Polar Rock Repository (USPRR) at The Ohio State University archives rock samples and associated metadata from polar areas. The repository maintains online databases for samples, field maps, and rock physical properties to support research and education. It was created to fulfill Antarctic Treaty obligations for data access and to reduce the environmental footprint of fieldwork.
From 1979 to 1991, this dataset contains real-time and recorded satellite telemetry data from the Tiros N and NOAA-6 through NOAA-12 satellites. The University of Miami processed and archived the data, which was originally supplied by the National Environmental Satellite Data and Information Service (NESDIS) from receiving stations in Virginia, Alaska, and Africa. It includes thousands of satellite passes, with NOAA-11 and NOAA-12 listed as active and operational at the time of the description.
FEMA's Tsunami Pilot Study developed modernized flood hazard maps for the Seaside/Gearhart, Oregon area. The spatial data results from an interagency effort involving FEMA, USGS, NOAA, and several universities and consultants. The dataset provides GIS files and visualization layers for Google Earth.
The Polar Rock Repository at Ohio State University is a national facility preserving over 27,000 cataloged rock and unconsolidated material samples from Polar Regions. It was established by the NSF Office of Polar Programs to minimize redundant sample collecting and preserve specimens from remote locations. The online database includes sample metadata such as geographical location, description, collector, rock age, and multimedia images.
Dundee University has systematically recorded daily High-Resolution Picture Transmission (HRPT) data from NOAA satellites since October 1978. The archive includes data from NOAA's TIROS-N, NIMBUS-7's CZCS, SeaWiFS, and MODIS instruments on Terra and Aqua satellites. Data is stored on magnetic tape and optical disk and is accessible via a web server.
NASA-SSH Simple Gridded Sea Surface Height Version 1 provides 2-D maps of sea level anomaly on a 0.5-degree latitude/longitude grid. The dataset is produced by NASA from radar altimeter satellites including TOPEX/Poseidon, Jason series, and Sentinel-6. Data coverage begins in October 1992 and continues to the present, with new grids released approximately weekly.
512 x 512 pixel Landsat satellite image subsets are provided for the Forest Watch educational program. The NASA Earthdata platform hosts these multispectral, panchromatic, and thermal band subsets, created by the SCIOPS organization to support student analysis of local forest stands. Data includes both Landsat 7 and some historic Landsat 5 scenes.
Orthorectified satellite image mosaics from Landsat, SPOT, and ERS radar sensors cover the entire United Kingdom. The Landmap Project, a joint initiative, provides this data alongside a high-resolution Digital Elevation Model. Data is hosted at the Manchester University supercomputer facility for remote processing or download.
GM-WICS provides historical and near real-time discharge and water chemistry data for the Gulf of Maine watershed, combined with water balance and nutrient modeling results. The system is maintained by the Water Systems Analysis Group at the University of New Hampshire as a diagnostic framework for assessing water and nutrient status.
Elevation data for the European Union, Scandinavia, and Eastern Europe at a 1:1 million scale. The dataset is sourced from Bartholomews and managed by SCIOPS. Pricing information is available per country or for the entire region.
2021 global land cover composite generated from Sentinel-2 satellite Short-Wave Infrared (SWIR) band medians. The consortium, led by VITO in Belgium, produced worldwide 10-meter resolution imagery per 1x1 degree tile after cloud removal. Data is provided in Cloud Optimized GeoTIFF format.
ESA WorldCover Sentinel-2 yearly SWIR median composite is a global 10-meter resolution color image derived from Sentinel-2 satellite data. It provides worldwide land coverage per 1x1 degree tile for the year 2020, generated by a consortium led by VITO. The composite uses the median of the SWIR timeseries after cloud and shadow removal.
A vector layered map dataset containing point, line, and area features, structured by geographic area and thematic layers. The data is provided by Bartholomew Mapping Solutions and hosted by MIMAS at the University of Manchester. It includes separate databases for Great Britain, Europe, London, and the world at specific cartographic scales.