Loading...
Loading...
Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,442 datasets
690 4th and 5th-grade students from 10 elementary schools in Washington, DC, and Kentucky completed the Food Literacy BITE scale and food frequency questionnaires. The dataset, authored by Christine St. Pierre and last updated in June 2026, was used to validate the scale's ability to differentiate literacy by grade, sex, and food education exposure. It likely contains survey responses and aggregated food consumption frequencies.
Christine St. Pierre published a dataset on 2026-06-02 containing survey results from 690 4th and 5th-grade students in Washington, DC, and Kentucky. The data supports validation of the 4-dimension Food Literacy BITE scale, assessing its generalizability and association with food group consumption frequencies. The dataset is a 924.1 KB PDF file licensed under CC-BY-4.0.
690 4th and 5th-grade students from 10 elementary schools in Washington, DC, and Kentucky completed the Food Literacy BITE scale and food frequency questionnaires. The dataset, authored by Christine St. Pierre and last updated in 2026, was used to validate the scale's generalizability and examine differences by grade, sex, and food education exposure.
Christine St. Pierre's dataset contains survey results from 690 4th and 5th-grade students across 10 elementary schools in Washington, DC, and Kentucky, collected to validate the Food Literacy BITE scale. The data includes responses to the BITE scale and food frequency questionnaires, used to assess differences by grade, sex, and food education exposure. The dataset was last updated on June 2, 2026, and is shared under a CC-BY-4.0 license.
425 older adults with chronic heart failure in China were assessed using the Chinese eHealth Literacy Scale and the Patient Experience with Treatment and Self-Management questionnaire. Latent profile analysis identified three distinct patient profiles: a 'Vulnerable' group (28.9%), a 'Capable' group (22.1%), and a 'Transitional' group (48.9%). The cross-sectional data, authored by Xiaoxia Wu and last updated in June 2026, was used to explore predictors of these multidimensional profiles.
A cross-sectional study of 425 older adults with chronic heart failure in China, conducted by Xiaoxia Wu and last updated in June 2026. The dataset includes responses from the Chinese eHealth Literacy Scale (C-eHEALS) and the Patient Experience with Treatment and Self-Management (PETS) scale, analyzed via latent profile analysis. It identifies three distinct patient profiles based on 14 continuous dimensional indicators of eHealth literacy and treatment burden.
A cross-sectional dataset of 425 older adults with chronic heart failure in China, collected by Xiaoxia Wu and last updated in June 2026. It contains responses to the Chinese eHealth Literacy Scale (C-eHEALS) and the Patient Experience with Treatment and Self-Management (PETS) questionnaire, used to identify distinct patient profiles. The data was analyzed using latent profile analysis and multinomial logistic regression to explore predictors of profile membership.
Family Occupation and Education Index (FOEI) scores for New South Wales government schools from 2014 to 2024. FOEI is a school-level index measuring socio-educational disadvantage based on parents' occupation and education. The NSW Department of Education publishes this data annually via the Mid-Year Census to inform its Resource Allocation Model.
A systematic review by Richmond Owusu Ateko synthesizes evidence on dyslipidaemia prevalence among Ghanaian adults. The dataset includes findings from 24 studies published between 2003 and 2023, comprising approximately 11,400 participants. It reports prevalence rates ranging from 3.0% to 72.4% and identifies low HDL-C as the most common abnormality.
NSW Department of Education data tracks student enrolment numbers across government schools from 2008 to 2024. The dataset includes primary, secondary, infants, central/community, and specialist schools for specific purposes. Enrolment fluctuations can move schools between size bands from year to year.
11 years of data on government schools in New South Wales, Australia, categorized by geographic remoteness and SA4 groups. The dataset is published by the NSW Department of Education's Centre for Education Statistics and Evaluation. It spans from 2014 to 2024 and uses Australian Bureau of Statistics standard geographic classifications.
A document describes the establishment and outcomes of the first pediatric emergency and critical care (PECC) fellowship program in sub-Saharan Africa. The program, launched in 2019 by the University of Nairobi and partner institutions, has graduated 14 fellows from 5 countries. The description details the curriculum, partnership model, and post-graduate employment outcomes of the fellows.
Anna Helova's dataset contains assessment data from a 2024 one-week intensive workshop on implementation research for global health inequities. The data includes pre/post comparisons of self-assessed knowledge, self-efficacy, and objective knowledge scores from 28 participants across 12 countries. It was last updated on June 1, 2026, and is shared under a CC-BY-4.0 license.
A 2026 study by Rafael Martínez-Gómez evaluated perceptions of an anatomy self-assessment activity among 159 first-year nursing students. The activity comprised 266 image-based questions, and student feedback was collected via a questionnaire including a Net Promoter Score and open-ended responses. The dataset likely contains the questionnaire results and analysis.
A retrospective study of 3,094 asymptomatic adults undergoing health screening cardiac CT scans. The dataset, authored by Cheng-Chun Yang and last updated in May 2026, quantifies intrathoracic visceral fat depots and their association with incident heart failure over a median follow-up of 10.3 years.
New York City provides a geospatial dataset modified to support Open Space assessments under the City Environmental Quality Review (CEQR) Technical Manual. The data identifies tax lots considered within walking distance of a park, defined as 1/4-mile for small sites or 1/2-mile for larger parks over 6 acres, supporting the OneNYC 2050 goal of 85% of residents living near a park by 2030. It is used to calculate park access metrics for the Mayor's Management Report, focusing on under-resourced areas and excluding non-recreational spaces like cemeteries.
Shiyang Niu published a dataset on figshare on June 3, 2026, analyzing 136 dry eye educational videos from the Xiaohongshu platform. The dataset compares video characteristics, content coverage, engagement metrics, and quality scores between videos uploaded by non-medical and medical individual users. It includes assessments using DISCERN, PEMAT-A/V, and Global Quality Score instruments.
A cross-sectional study of 136 dry eye educational videos collected from the Xiaohongshu platform on April 16, 2026. The dataset includes video characteristics, content coverage, engagement metrics, and quality scores assessed using DISCERN, PEMAT-A/V, and the Global Quality Score. It was authored by Shiyang Niu and published under a CC-BY-4.0 license.
Over 7,000 samples were excluded from the Australian Marine Samples (MARS) database due to quality control, primarily dredged samples. This dataset from the Australian Ocean Data Network contains 14,204 seabed samples used to assess how including poor-quality dredged samples affects the accuracy of spatial predictions for mud content. The analysis focuses on two regions, the Southwest and Petrel, using methods like Inverse Distance Weighting and Ordinary Kriging.
Two de-identified datasets collected via a remote, web-based platform where participants completed gamified motor and cognitive tasks on personal computers. The data includes raw task-level records like mouse trajectories and key presses, plus derived performance features, designed to support research on remote digital health assessment and AI robustness. The dataset was created by Zerin Nasrin Tumpa and last updated in May 2026.