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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
14,666 datasets
The dataset from preschool educational institution Ü 52 "Fairytale" contains information about its pedagogical workers. It includes identifiers, names, gender, qualifications, and work experience. The data was published on the States site of Ukraine and last updated on August 10, 2020.
63 preclinical animal studies on statins and atherosclerosis outcomes were meta-analyzed to assess sponsorship bias. The dataset includes extracted study design criteria, efficacy outcomes, sponsorship source, and investigator financial ties, covering literature from 1966 to 2012. It was created by David Krauth to examine differences in standardized mean difference (SMD) estimates between industry and non-industry sponsored research.
Encompassing measurements from a FluidFM force spectroscopy study assessing the size and deformability properties of Cryptosporidium oocysts. The research compared two species, C. muris and C. parvum, achieving 86% classification efficiency with a measurement throughput exceeding 50 discrete oocysts per hour. It also includes deformability data for untreated and temperature-inactivated C. parvum oocysts.
763 children and 489 parents from 11 public elementary schools in Akashi, Japan, participated in a community-based study on stroke education. The data includes questionnaire responses on stroke knowledge collected before, immediately after, and 3 months after emergency medical technician-led lessons conducted between September 2014 and October 2015. The study measured the effectiveness of the intervention using scores for stroke symptoms, risk factors, and understanding of the FAST mnemonic.
736 nurses, nurse practitioners, and other health professionals completed a 92-item health literacy competencies instrument online from May 2012 to January 2013. The final validated instrument contains 49 items across 9 knowledge and skill dimensions, explaining 72% of total variance. The data supports psychometric validation of the first rigorously tested tool for health literacy competencies in Chinese-speaking professionals.
Oceanographic and surface meteorological data collected from a moored station in the Indian River Lagoon - St. Lucie Estuary by Florida Atlantic University. The Southeast Coastal Ocean Observing Regional Association assembled and submitted the data to NCEI as part of the Integrated Ocean Observing System Data Stewardship Program. Data spans from 2015-10-07 to 2020-06-22.
A dataset from the State site of Ukraine, last updated on August 13, 2020. It describes the service territory and associated addresses for Kharkiv secondary school number 164 (Ü164) under the Kharkiv City Council. The data is provided in Excel format, likely containing administrative boundaries and location information for this educational institution.
From 2015-10-07 to 2020-06-18, Florida Atlantic University collected oceanographic and surface meteorological data from a moored station in the Indian River Lagoon near Jensen Beach, Florida. The Southeast Coastal Ocean Observing Regional Association (SECOORA) assembled and submitted the data to NOAA's National Centers for Environmental Information. Data are stored in netCDF files following Climate and Forecast (CF) metadata conventions.
Encompassing scalp electrophysiological (EEG) brain response recordings from 66 preschool children (40 in the main experiment, 26 in a replication). The data captures responses to visual letter strings and control stimuli (pseudofonts, familiar symbols, object drawings) presented in rapid streams. It was collected to investigate early left hemispheric cortical specialization for print in prereaders.
A 2020 study by Huixiang Wang compared multiple-viewpoint versus single-viewpoint video training for hip resurfacing surgery. The dataset contains results from 30 medical students, measuring pin trajectory deviations, Global Rating Scale scores, and pre/post knowledge test results. It provides objective metrics on the efficacy of a novel multi-camera surgical training system.
Ukrainian data from the eu_open_data platform, last updated in August 2020. The dataset describes the service areas of secondary educational institutions, likely containing geographic or administrative boundaries. It was published by the States site of Ukraine.
Coastal waters of Florida were monitored from station Indian River Lagoon - Vero Beach (IRL-VB) by Florida Atlantic University. The dataset contains oceanographic and surface meteorological data collected from 2015-10-07 to 2020-06-11 and submitted via the Southeast Coastal Ocean Observing Regional Association (SECOORA). Data are formatted in netCDF files following CF and ACDD metadata conventions.
This dataset contains vocalization data from songbirds (Lonchura striata domestica) used to validate an automated measure of imitative learning called Song Divergence. The data supports research on sensory-motor learning and vocal learning, correlating the automated metric with human evaluations of song learning and detecting song deterioration after deafening. It was published by author David G. Mets in 2020.
Featuring MRI and histological data from a study validating the RAFFn MRI technique for measuring myelination and dysmyelination in mice with Type I mucopolysaccharidosis (MPS I). The data includes RAFF5 relaxation time constants correlated with histological myelin density (R2 = 0.68, P<0.001) and comparisons between MPS I mice and heterozygotes across brain regions like the striatum, internal capsule, and fornix. The study was authored by David Satzer and published in 2020.
Coastal waters of Florida contain oceanographic and surface meteorological data collected from an in-situ moored station named Indian River Lagoon - Fort Pierce (IRL-FP). Florida Atlantic University collected the data, which was assembled by the Southeast Coastal Ocean Observing Regional Association (SECOORA) and submitted to NCEI. The data covers the period from October 7, 2015, to June 9, 2020.
Multiple pedestrian detection datasets are aggregated to support computer vision research and benchmarking. The content focuses on human-centric visual data for training and evaluating object detection models.
Supervised and unsupervised learning implementations characterize this collection of projects by Defcon27, last updated in September 2020. The repository contains an unknown number of datasets and scripts for statistical modeling and exploratory data analysis using Python 3.
Report 42m from the communal institution 'Poltava children's and youth sports school 'wedding'' details the receipt and use of funds from other sources of own revenues. The dataset is provided by the States site of Ukraine and was last updated on July 22, 2020. The data is available in an Excel XLSX format.
This dataset supports a study on suppressing overlearning in Independent Component Analysis (ICA) for removing muscular artifacts from electroencephalographic (EEG) records. The research demonstrates a subspace projection technique that improves artifact separation for short, high-density EEG signals compared to standard ICA methods. The author is Jan Sebek, with the data last updated in June 2020.
This dataset supports research on determining motor intent from targeted reaching motions disturbed by unexpected forces. It includes data from a study with eight human subjects, analyzing intended trajectories derived from feedforward and feedback controls. The modeling approach inverts control signals to estimate intent, with sensitivity to parameter uncertainties examined.