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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,261 datasets
Jefferson Rodrigo Speck's repository contains files and analyses from a literature review on the ethical discussion of AI in Brazilian education. The investigation covers publications from 2020 to 2025 indexed in the Brazilian Computer Society's SBC OpenLib. Materials include article lists, PDFs, analytical Markdown records, and evaluation criteria for research on algorithmic justice, regulation, privacy, equity, and accountability.
A Data Management and Sharing Plan authored by Chen, Tianlong outlines the scientific data for a research project. The project focuses on cloud-based AI and deep learning for epicardial electrophysiological signal analysis and long-term cardiac monitoring. The plan was last updated on 2026-05-25.
Isabel Cristina Esposito Sorpreso's dataset supports the study 'Evaluation of usability and the impact of the digital platform Menopausando in health education for women in menopausal transition and postmenopause'. Data were collected between 2024 and 2025 from women recruited at CSE Paula Souza and ICHC-FMUSP. It includes sociodemographic and clinical information, plus responses from validated instruments like the IPAQ, KMI, WHQ, and SUS, collected before and after three months of platform use.
Victoria, Australia contains polygon geometries for named topographic features like rivers, water bodies, and transport infrastructure. The dataset combines features based on name and type to create single geometries, representing detailed larger areas such as lakes, sports grounds, and shopping precincts. It is provided by the Department of Energy, Environment and Climate Action and was last updated in March 2026.
Papers published for the inaugural Great Barrier Reef Conference held at James Cook University in Townsville from 29 August to September 1983. The dataset is hosted by the Australian Ocean Data Network on data.gov.au. Metadata is minimal, with the description noting it is a legacy product with no abstract available.
LISTOS_AircraftInSitu_UMDAircraft_Data is in-situ data collected onboard a University of Maryland Cessna aircraft during the Long Island Sound Tropospheric Ozone Study. The multi-agency campaign, led by NASA, NOAA, EPA, and state environmental departments, took place between June and September 2018 to investigate ozone formation and transport. Data collection is complete and was used to validate satellite instruments like TEMPO and TROPOMI.
De-identified, qualitatively coded data derived from essays submitted to a mental health essay competition held across schools in Kilifi, Kenya. The dataset was created by Lydia Katini Mwangasha in 2023, with essays collected between February and May. Essays were analyzed using a structured coding matrix organized by themes including definitions, causes, effects, promoters, myths, and community practices.
Hawaiian Archipelago deep-sea video footage was collected from October 2 to 18, 2004, during the Deep Sea Precious Corals Expedition. The dataset contains video products from the R/V Ka'imikai-o-Kanaloa, the Human Occupied Vehicle Pisces V, and the Remotely Operated Vehicle RCV-150. It documents coral-associated invertebrate fauna at three large precious coral beds, including Cross Seamount, Keahole Point, and Makapuu.
University of Washington researchers collected 15 days of Conductivity, Temperature, and Depth (CTD) profile data during a U.S. Coast Guard icebreaker cruise in the Beaufort and Chukchi Seas. This dataset captures oceanic conditions from a specific Arctic expedition in October 1986. The data is managed by NOAA and is accessible through multiple government data platforms.
From August 19 to September 1, 1989, the R/V New Horizon collected high-resolution Conductivity-Temperature-Depth (CTD) data in the Northeast Pacific Ocean around Fieberling Seamount. The dataset likely contains near-continuous vertical profiles of temperature, salinity, density, and possibly dissolved oxygen or transmissivity at depth intervals as fine as one meter. Cruise metadata, station positions, and environmental conditions at the time of each cast are also reported.
From February 14 to November 3, 1991, this dataset contains high-resolution Conductivity, Temperature, and Depth (CTD) profiles collected from the R/V Point Sur in the NE Pacific. The data, submitted by the Naval Postgraduate School, includes nearly continuous vertical profiles of temperature, salinity, density, and potentially dissolved oxygen or transmissivity at depth intervals as fine as 1 meter. Each station record includes cruise and instrument information, position, date, time, and may include concurrent meteorological and sea surface conditions.
An example dataset for a LoRA (Low-Rank Adaptation) model, likely for fine-tuning a machine learning model. It was published on HuggingFace by author Krag123 and was last updated on May 31, 2026. The dataset's specific content and structure are not detailed in the available metadata.
135 oceanographic stations were sampled across Resurrection Bay, the Gulf of Alaska, and Skan Bay during three R/V Alpha Helix cruises in 1984. The data, processed to the NODC F022 standard, contains high-resolution vertical profiles of temperature, salinity, density, and possibly dissolved oxygen or transmissivity at depth intervals as fine as 1 meter. Each cast includes cruise metadata, position, date, time, and environmental conditions at the time of sampling.
Gulf of Alaska and Boca de Quadra areas are covered by 190 oceanographic stations from two research cruises in 1983 and 1984. The dataset contains high-resolution vertical profiles of temperature, salinity, density, and possibly dissolved oxygen or transmissivity, processed to the NODC F022 standard. Data were collected using CTD and STD instruments, providing near-continuous measurements at depth intervals as fine as one meter.
PIIBench is a benchmark dataset for detecting Personally Identifiable Information (PII) in text. It contains approximately 1.39 million records annotated with BIO tags for 48 entity types, aggregated from ten source datasets. The dataset was created by Pritesh-2711 and was last updated on Hugging Face in April 2026.
Rankings for eight factors used in a machine learning model and validation results from 50 validation datasets. The dataset is a 5.5 KB XLS file created by Catherine Park and last updated in April 2026.
A 5.5 KB Excel file summarizing risk of bias assessments for studies included in a systematic review. The dataset was created by Virgilio Blandón and last updated in April 2026.
Environment Agency data provides a GIS layer showing flood hazard ratings for surface water flooding with a 1% annual chance. The hazard rating is defined as a function of simultaneous depth and velocity, grouped into four bands. This dataset is part of the Risk of Flooding from Surface Water (RoFSW) mapping, previously known as the updated Flood Map for Surface Water.
A retired GIS dataset from the UK Environment Agency maps the maximum speed of flood flow from surface water for a 3.3% annual probability event. The data groups flow speed into five bands and is part of the broader Risk of Flooding from Surface Water mapping. It is based on digital spatial data from multiple UK government and research bodies, including the Centre for Ecology & Hydrology.
A retired GIS layer from the UK Environment Agency showing the speed of flood flow from surface water for a 0.1% annual chance event, with speeds grouped into 5 bands. The data is part of the Risk of Flooding from Surface Water (RoFSW) mapping, previously known as the updated Flood Map for Surface Water. It is based on digital spatial data from multiple UK government and research bodies, including the Centre for Ecology & Hydrology and the Ordnance Survey.