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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,907 datasets
A specific school year's enrollment counts for French language education programs in Alberta. The data likely contains counts by program type, authority, school, and grade. It is provided by the Government of Alberta and was last updated on April 17, 2026.
Annually-updated enrollment data reported to Alberta Education by public, separate, francophone, charter, and private school authorities. Preliminary data for the most recent school year is replaced by final figures when available. The dataset is published by the Government of Alberta.
Annual data on capacity and utilization rates for school facilities in Alberta's K-12 public educational system. Student enrolment numbers are submitted by public school jurisdictions to Alberta Education each year. Alberta Education calculates adjusted enrolment and utilization rates for each school facility.
Children and students identified with special education needs in Alberta are reported in this dataset. The data is reported to Alberta Education by public, separate, francophone, charter, and private school authorities and Early Childhood Services private operators based on September 30 student registration. The dataset was last updated on April 17, 2026.
Alberta's occupational outlook provides labor supply forecasts covering a 10-year period. The dataset presents projected educational attainment levels and analyzes graduates in major fields of study at different post-secondary levels. It is published by the Government of Alberta and was last updated on April 17, 2026.
Latent class analysis identifies overlapping bullying roles—perpetrator, victim, and bystander—among junior high students. The dataset links these behavioral typologies to assessments of school climate dimensions, including peer relationships. Researcher Chuchu Li published this study on Figshare in April 2026.
Point features delineating ground surface photogrammetric control points at 1 to 5 metre intervals. The data is derived from Melbourne Water base maps and converted to Microstation .DGN format. It is incomplete, containing 'holes' in areas like quarries or large building sites.
Barnet, a London borough, is the primary geographic focus of this dataset on secondary school attendance. It tracks absence trends at the local authority, national, and individual school levels for the 2014-15 academic year. The data is available on multiple open data platforms, indicating its use for public reporting.
NOAA's 2004 Titanic Expedition aboard the Ronald H. Brown collected scientific data on the wreck's deterioration from May 27 to June 12. The mission utilized high-definition video and stereoscopic still images from remotely operated vehicles for a non-invasive assessment. The dataset serves as a baseline for studying deep-water shipwreck processes.
The Guyana Responsible Parenthood Association helped train workers on gender-responsive sexuality and youth-friendly sexual and reproductive health. The dataset is published by Global Affairs Canada under the OGL-CA-2.0 license and was last updated on 2026-05-07. It is available in HTML format.
Over one billion molecules were screened to identify safer nonaqueous battery solvents using graph neural networks. The dataset, created by Stephen R. Xie and last updated in April 2026, contains predictions for flash point, melting point, dielectric constant, and liquid viscosity. Candidates were sourced from the Mcule catalog of existing molecules and the GDB-13 enumeration of hypothetical molecules.
A training dataset used to produce the cross-encoder/ettin-reranker model family. The data is a mix of broad-domain text pairs and retrieval pairs rescored with a strong teacher reranker. All labels were produced by an automated scoring system rather than human annotators.
Canada's quarterly and annual Labour Market Impact Assessment (LMIA) statistics from 2018 to 2025, published by Employment and Social Development Canada. The data includes 28 tables covering requested and approved positions, occupations, sectors, program streams, and workers' countries of origin. It is updated quarterly, with the most recent release in March 2026.
Vision-OPD-6K is a training dataset for the Vision-OPD framework, which learns to see fine details for multimodal large language models. The dataset was created by author yuanqianhao and was last updated on the Hugging Face platform in May 2026. It supports a self-distillation method that transfers a model's regional perception to its full-image policy without external labels or tools.
Julia Sánchez-García's 2026 figshare dataset contains results from a correlational analysis of personality and academic dishonesty. The study uses self-report data from 175 undergraduate students with a mean age of 21.88 years. It examines relationships between Big Five and Dark Tetrad personality traits, moral disengagement, and dishonest academic behaviors.
Descriptive statistics from a study of 175 undergraduate students examining the relationship between personality traits and academic dishonesty. The data includes self-reported measures of the Big Five and Dark Tetrad personality traits, moral disengagement, and academic dishonesty behaviors. It was authored by Julia Sánchez-García and last updated on 2026-04-06.
School Quality Reports data contains performance metrics for New York City Department of Education schools. The dataset includes columns such as Metric Value, Comparison Group Average, and Metric Score, which allow for the assessment of individual school performance against peer groups. Educator guides for interpreting the reports are provided by the NYC DOE.
lpastor75's Dog Breed Classification Dataset contains 12,891 RGB images across 74 distinct dog breed classes for multiclass classification tasks. The dataset is structured for training, validation, and testing of computer vision models. It was last updated on Hugging Face in May 2026.
A 2026 study by A. Perrucci evaluates a standardized cleaning and disinfection protocol for trucks transporting live pigs. The dataset compares 15 trial trucks against 23 control trucks using visual inspection, ATP testing, and microbiological analyses across three functional sections of each vehicle. Results show the protocol significantly improved sanitary status and eliminated MRSA from trial trucks.
Vicmap Elevation - Contour Line data contains relief features for Metropolitan Melbourne represented by lines at 1 metre intervals, with some areas at 5 metre intervals. The dataset was derived from Melbourne Water base maps and converted to Microstation .DGN format. It was last updated on 2026-04 08 and is provided by the Department of Transport and Planning under a CC-BY-4.0 license.