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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,338 datasets
A dataset titled 'Personalized English Learning Dataset' from Kaggle, described as containing 'Student States and Teaching Actions'. The dataset likely contains records of student interactions and pedagogical responses within an English learning context. Its author, organization, size, and specific contents are unknown.
Sediment grab samples from Long Island Sound were wet sieved and analyzed to identify individual benthic species. The data layer provides the precise locations of samples collected by researchers P. Pellegrino and W. Hubbard. This foundational survey was conducted in 1983 as part of a cooperative project involving the University of New Haven, the Connecticut DEP, and the U.S. Geological Survey.
A 9.5 KB Excel file compares existing frameworks that integrate Support Vector Regression with other models for imputing missing values in non-class attributes. Authored by Monalisa Jena, the dataset was last updated in March 2026. It serves as a reference for methodological comparisons in data preprocessing.
Byungmun Kang published a dataset of performance metrics for resistance exercise assessment on figshare. Metrics were obtained and analyzed on Day 3 of an exercise measurement phase. The dataset is small, at 5.5 KB, and was last updated in March 2026.
Figshare dataset by Dylan Luke Arroyo details a schedule of enrollment, interventions, and assessments for a clinical trial. The 5.5 KB Excel file provides a structured study protocol template, last updated in March 2026.
From August 5, 1986, to September 16, 1987, this dataset contains Conductivity, Temperature, and Depth (CTD) and other hydrographic measurements from five research cruises in the Gulf of Maine. Data was collected from the ships ENDEAVOR, GYRE, and OCEANUS by the University of New Hampshire and submitted by Dr. Wendell S. Brown. The processed data is available in the NODC F022-CTD-Hi-Res file format.
NCEI Accession 9400015 contains Conductivity, Temperature, and Depth (CTD) data collected from the NOAA ship MOANA WAVE during cruises MW9010 and MW9012. The dataset covers the NE Pacific Ocean from August 6 to December 13, 1990, and is processed into the NODC's high-resolution F022 format. Data was submitted by Dr. Pierre Flament of the University of Hawaii at Manoa.
A clinical study from Kahramanmaraş Sütçü İmam University by Hatice Güneş, published in 2020, investigates the relationship between epicardial adipose tissue (EAT) and insulin resistance (IR). The dataset likely contains clinical and echocardiographic measurements from 94 obese pediatric patients, divided into groups based on IR status. It includes statistical results such as an optimal EAT cut-off value of >3.85 mm for predicting IR.
Monitoring the Future survey data on drug use prevalence and trends among U.S. high school seniors, college students, and young adults from 1975 to 1986. The monograph reports specific prevalence rates for marijuana, cocaine, and stimulants, and tracks changes over time. The study was authored by Lloyd D. Johnston.
Natural England collated surveys from 2011 to gather evidence from marine environments. Survey purposes include Marine Conservation Zone verification, condition assessments, and surveys of Natura 2000 sites. All surveys follow established methodologies and specified standards.
Benacre to Easton Bavents lagoons were surveyed in 2014 to gather evidence from marine environments. The survey, collated by Natural England, includes data for Marine Conservation Zone verification, condition assessments, and features of Natura 2000 sites. All surveys were carried out to specified standards and follow established methodologies.
Lymington-Keyhaven saline lagoons in England were surveyed in 2013 by Natural England. The survey collates data from marine environments for condition assessments and verification of conservation zones. It follows established methodologies and standards.
Acoustic telemetry tracks movements of four key recreational fish species: undulate ray, tope, starry smooth-hound, and black bream. The Fish Intel Network of receivers deployed in Dorset and the Solent captures data to inform sustainable fisheries management. Understanding migrations provides insights into species ecology, predator-prey relations, and interactions with anglers.
Conductivity, Temperature and Depth (CTD) and bathythermograph (XBT) data were collected for the Distribution/Abundance of Marine Mammals in Gulf of Mexico (GULFCET I) project. The dataset includes 239 CTD casts and 566 XBT drops submitted by Dr. Giulietta Fargion of Texas A&M University, Galveston. Data collection occurred from April 15, 1992, to December 12, 1993, under grant MMS 14-35-0001-30619.
Priority Placement Areas (PPA) for high schools in the Australian Capital Territory. The dataset is maintained by the ACT Government's School Census and was last updated in March 2026.
2026 data from the ACT Government provides aggregated information on where students live relative to their schools, using the ABS Statistical Area Level 1 (SA1) geographical encoding. The dataset, sourced from a School Census, aggregates student counts to a minimum of 5 per SA1 for privacy.
Kaggle hosts a dataset titled 'Machine Learning'. Its specific content and scope are not detailed in the provided metadata. The dataset is published on the Kaggle platform, but the author, organization, and last update date are unknown.
World Bank data tracks tertiary education enrollment across Gulf Cooperation Council (GCC) member states. The dataset is hosted on Kaggle, but its specific temporal coverage and granularity are not detailed in the provided description. Column-level documentation and sample data are unavailable.
Papers published to coincide with the inaugural Great Barrier Reef Conference at James Cook University, Townsville, from 29 August to September 1983. The dataset is provided by the Australian Ocean Data Network and was last updated on the platform in April 2026. The legacy product has no abstract available, and the specific content and structure require verification after download.
Job posting data collected for data analysis and machine learning practice. The dataset contains approximately 785,000 rows and is 231 MB in size. It was re-uploaded by Sumedchakma for educational and portfolio purposes.