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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,451 datasets
672 children with bacterial meningitis and 611 with enteroviral meningitis were studied in a nationwide Danish registry-based cohort from 1995 to 2021, with follow-up until 2024. The study, authored by Emma E. Graham, compares academic outcomes against an age- and sex-matched cohort of 12,830 children and 16,810 siblings. It calculates final primary school exam grades and completion rates for primary school, high school, and higher education.
Eight studies with 3,867,170 participants were included in a systematic review and meta-analysis investigating prenatal asthma medication exposure. The dataset, created by Lama A. Shakhshir and last updated in June 2026, compiles characteristics from cohort and case-control studies published between 2003 and 2025. A meta-analysis of three studies suggested an association between beta-2-adrenergic agonist exposure and autism spectrum disorder.
East Java, Indonesia, 110 pre-service mathematics teachers participated in a quantitative study comparing AI-based adaptive learning and gamification strategies. Vera Septi Andrini collected data via Likert-scale questionnaires and open-ended cognitive tasks, analyzed using PLS-SEM with 5,000 bootstrapping resamples. The dataset, last updated in 2026, explains 45.61% of variance in mathematical reasoning.
24 elite collegiate baseball infielders from the Dalian University School of Physical Education were assessed for sports visual ability and catching performance. The dataset likely contains results from a cross-sectional correlational study, including Senaptec system visual ability indices and correct catch rates. Author Yuankun Long published the data under a CC-BY-4.0 license on figshare, last updated in May 2026.
15 studies comprising 659 students were analyzed in a systematic review and meta-analysis. The work, authored by Silje Halvorsen Sveaas and last updated in May 2026, found low-certainty evidence for large effects of cardiorespiratory and muscular strength exercise on symptoms of depression and anxiety. The review followed PRISMA guidelines and was registered as PROSPERO CRD42023398623.
15 studies comprising 659 students were analyzed in a systematic review and meta-analysis. The research, published on figshare in 2026, found low-certainty evidence for large effects of cardiorespiratory and muscular strength exercise on symptoms of depression and anxiety. The work was conducted by Silje Halvorsen Sveaas following PRISMA guidelines.
A 2025 systematic review and meta-analysis of 15 studies involving 659 students, investigating the effects of cardiorespiratory and muscular strength exercise on mental health. The study, authored by Silje Halvorsen Sveaas, was published on figshare in 2026. It reports standardized mean differences for depression and anxiety outcomes based on a search of six academic databases.
366 physical education and sports teachers in Erzurum province, Türkiye, participated in a cross-sectional survey. The data, collected by Mücahit Dursun, includes responses to the Mindful Attention Awareness Scale, Trait Emotional Intelligence Questionnaire–Short Form, and Brief Resilience Scale. The dataset was last updated on 2026-05-29.
Erzurum province, Türkiye, provided the context for a cross-sectional study of 366 physical education and sports teachers. The dataset contains self-reported survey responses measuring dispositional mindfulness, trait emotional intelligence, and psychological resilience, collected by researcher Mücahit Dursun. The data was last updated on the platform in May 2026.
366 physical education and sports teachers from public secondary and high schools in Erzurum province, Türkiye, participated in a cross-sectional survey. The data, collected by Mücahit Dursun, includes responses to the Mindful Attention Awareness Scale (MAAS), Trait Emotional Intelligence Questionnaire–Short Form (TEIQue-SF), and Brief Resilience Scale (BRS). The dataset was last updated on 2026-05-29 and is licensed under CC-BY-4.0.
7,824 children ages 5–17 were surveyed in the 2019 Nepal Multiple Indicator Cluster Survey. The dataset contains regression analysis results examining the association between functional disability and educational outcomes, including school attendance and grade completion. It was authored by Prashant Acharya and last updated in June 2026.
Nepal's 2019 Multiple Indicator Cluster Survey provides a nationally representative sample of 7,824 children ages 5–17. The dataset, created by Prashant Acharya, contains summary statistics examining the association between functional disability and key educational outcomes, including school attendance and grade completion. The data was last updated in June 2026.
Enrolments (FTE) in NSW government schools from 2014 to 2024, aggregated by Socio-Educational Advantage (SEA) quarters and Statistical Area 4 (SA4) groupings. The data is sourced from April system extracts by the NSW Department of Education's Centre for Education Statistics and Evaluation. It replaces previous reporting based on discontinued Department of Education regions with a new geography based on the Australian Statistical Geography Standard.
Survey data from 378 undergraduate and postgraduate medical students assessing the effectiveness of virtual anatomy teaching during the COVID-19 pandemic. The study, authored by Kapil Kumar Malviya, was uploaded to figshare in May 2026. It compares student preferences for online methods like PowerPoint presentations and YouTube videos against traditional in-person teaching.
UNOSAT identified approximately 1,089 buildings as 100% damaged in Crawford Village, Saint Elizabeth Parish. This preliminary analysis uses a WorldView-2 very high-resolution satellite image acquired on 29 October 2025 to map structures damaged by Tropical Cyclone MELISSA-25. The dataset is provided by the United Nations Satellite Centre (UNOSAT) and was last updated in May 2026.
A supplementary document details the extraction and characterization of bacteriorhodopsin from haloarchaeal strains isolated from the Tuticorin salt pan. The study reports a production yield of 360 mg/L from Halostagnicola larsenii (TP6) and describes methods including SDS-PAGE, TLC, R-HPLC, and Raman spectroscopy. The file was authored by Steffy Joseph and last updated in June 2026.
A 15.9 KB DOCX file from figshare by Hyun-Jin Jung, last updated June 1, 2026, under a CC-BY-4.0 license. The study evaluates year-independent predictability of rice grain protein content using machine learning and multi-year field data. It focuses on data structuring and validation strategies, including leave-one-year-out cross-validation to simulate predictions for unseen growing seasons.
Multi-year field data was used to evaluate year-independent prediction of rice grain protein content with machine learning. The dataset, authored by Hyun-Jin Jung and last updated on 2026-06-01, includes plot-level and replicate-mean data structured for agronomic experimental design. Models were validated using leave-one-year-out cross-validation to simulate predictions for unseen growing seasons.
Multi-year field data evaluates year-independent predictability of rice grain protein content using machine learning. The dataset, authored by Hyun-Jin Jung and last updated in June 2026, focuses on data structuring and validation strategies aligned with agronomic experimental design. Models were trained on plot-level and replicate-mean data and evaluated with leave-one-year-out cross-validation to simulate unseen growing seasons.
A dataset supporting a study on predicting rice grain protein content under variable field conditions using machine learning. The data includes multi-year field observations structured at plot and replicate levels, used to train models evaluated with leave-one-year-out cross-validation. The dataset was authored by Hyun-Jin Jung and last updated on June 1, 2026.