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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,894 datasets
Government of Ontario data lists private schools in Ontario and overseas, with contact details and program information. The dataset includes school name, address, principal name, telephone, email, website, credits offered, program type, and association membership. Contact information is reported by schools as of December 2025.
Supplementary Table S3 presents Gene Ontology enrichment analysis results for DBSCAN clusters derived from Drosophila testis transcriptomic data. The dataset was authored by Viktor Vedelek and published on figshare under a CC-BY-4.0 license. It is stored as an XLSX file sized at 258.7 KB.
Additional file 9 of Machine learning analysis of Drosophila testis transcriptomic data reveals potential regulatory sequences. This supplementary table lists features used for machine learning algorithms and their source publications. The dataset is a 13.1 KB XLSX file authored by Viktor Vedelek and shared under a CC-BY-4.0 license on figshare.
Viktor Vedelek provides supplementary data for a machine learning analysis of Drosophila testis transcriptomic data. The 66.1 KB XLSX file contains Gene Ontology enrichment results for DBSCAN clusters with specific parameters (epsilon=11, minimum samples=90). It was last updated on May 12, 2026.
Supplementary material from a machine learning analysis of Drosophila testis transcriptomic data. The dataset is a GO enrichment analysis of DBSCAN clusters with parameters epsilon=12 and minimum samples=90. It was authored by Viktor Vedelek and last updated on May 12, 2026.
Supplementary material from a machine learning analysis of Drosophila testis transcriptomic data. The dataset contains position weight matrices of identified motifs, authored by Viktor Vedelek and last updated in May 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
EPA Referred Schemes (DWER-119) is a spatial dataset representing Local Government Authority planning schemes referred for environmental assessment. It contains boundaries provided by proponents, with attributes completed by DWER Spatial Services, to assess proposals against other environmental data.
Areas of estuarine waters derived and updated by the Index of Estuary Condition funded by the Department Environment, Land, Water and Planning. The underlying estuarine areas were produced by Deakin University as part of two projects funded by the National Heritage Trust and the Department of Sustainability and Environment. The dataset was last updated on 2026-04-09.
Nine regions in Port Phillip Bay were mapped for seagrass habitat in April 2011. The polygon data, derived from aerial photography, supports the Baywide Seagrass Monitoring Program for the Channel Deepening Project. Additional datasets provide mapping for the Swan Bay region in 2010 and for nine regions in 2009.
Metadata on studies related to computational thinking in STEM education, obtained from the Web of Science database. The dataset is 10.2 MB in size, authored by Osman Aksit, and was last updated on 2026-05-06. It is available under a CC-BY-4.0 license.
John Robert Rilveria's 2026 study data examines the alignment between therapist and client ratings of their therapeutic relationship. The 84.6 KB dataset likely contains variables for alliance congruence, symptom severity, and psychological distress. Polynomial regression and response surface analysis were used to model the associations between alliance ratings and clinical outcomes.
2,382 English-language publications from 2005 to 2025 were analyzed using LDA topic modeling and semantic network analysis. The dataset, created by Shengwu Pan, compares Chinese and international scholarship on Generative AI in Computer-Supported Collaborative Learning (CSCL). It reveals divergent conceptual paradigms between systemic-collectivized and instrumental-individualized approaches.
A polygon layer maps seagrass habitat at nine regions in Port Phillip Bay in April 2008. The mapping was undertaken for the Baywide Seagrass Monitoring Program by the Port of Melbourne Corporation. The dataset is provided by the Department of Energy, Environment and Climate Action.
A 30-item multiple-choice test instrument measures teacher competencies in nine dimensions, including AI readiness and pedagogical integration. Created by Ahmad Swandi and published in April 2026, the instrument is a 154.1 KB DOCX file.
Ahmad Swandi's Digital Literacy Test Instrument for Teachers is a structured multiple-choice assessment measuring competencies across nine dimensions. The instrument contains 30 items evaluating skills from basic computer use to pedagogical integration and AI readiness. It was published on the figshare platform in April 2026.
An interview instrument designed to explore teacher digital competence across nine subdimensions, including basic applications, multimedia use, ICT communication, and AI readiness. The 21.6 KB DOCX file was authored by Ahmad Swandi and last updated on April 8, 2026. The findings describe a gap between ICT availability and its pedagogical use in a likely educational context.
UFO-MNIST is a dataset of 10,000 28x28 grayscale images depicting UFO-like spotting patterns and common aerial lookalikes. It was created by author 'tentime' and last updated on Hugging Face in May 2026. The dataset is structured as a compact benchmark with 8,000 training and 2,000 test examples across 10 labels.
A dataset containing chunk-level supervised-fine-tuning records for the DataForge warmup model, including expert versions v1 through v4. The milestone data is built from split-safe CSV diffs, anchoring training to audited labels. It was created by Praneshrajan15 and last updated on 2026-05-19.
208 undergraduates from two Chinese universities participated in an 8-week quasi-experiment measuring aesthetic sensitivity and empathy before and after a music aesthetic education course. The dataset supports multilevel linear modeling analyses used to test for mediation effects. The study was authored by Mingyang Xia and the data was shared on figshare in April 2026.
18 U.S. public health schools provided generative AI use policies, analyzed via mixed-methods. The dataset contains the policy documents and analysis results from a study by Ashish Joshi, published in April 2026. It characterizes the scope and themes of early AI governance in this academic sector.