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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
15,238 datasets
416 university students aged 17–23 from two Kazakh universities participated in a six-week blended learning intervention. Gulzhan Niyazova collected pre- and post-intervention data on problematic internet use and psychological well-being, showing a 7.1% reduction in addiction scores. The dataset, last updated in May 2026, includes psychometric validation results and process indicators of digital behavior change.
Gulzhan Niyazova's dataset contains psychometric survey results from 416 university students in Kazakhstan, collected in 2026. It likely includes pre- and post-intervention scores from the Chen Internet Addiction Scale and Ryff Psychological Well-Being Scale. The data supports analysis of a six-week educational intervention aimed at reducing problematic internet use.
416 university students aged 17–23 from two Kazakh universities participated in a six-week blended learning intervention. Gulzhan Niyazova collected pre- and post-intervention data on problematic internet use and psychological well-being, published on figshare in 2026.
Kazakhstan university students' data from a six-week educational intervention study. The dataset likely contains pre- and post-intervention scores for internet addiction and psychological well-being, along with behavioral process indicators. It was created by Gulzhan Niyazova and uploaded in May 2026.
The dataset likely contains counts of NSW government schools categorized by type from 2013 to 2024. It is published by the NSW Department of Education's Centre for Education Statistics and Evaluation. Data from 2014 onward uses the Australian Statistical Geography Standard (ASGS) for grouping schools into 11 SA4-based reporting regions.
Frank Zwaan and collaborators at the University of Bern, CNR-IGG, and the University of Florence created this dataset of images and videos from 17 analogue centrifuge experiments. The experiments model passive margin development and rifting tectonics along the western margin of Afar, East Africa, testing variables like brittle layer thickness and syn-rift sedimentation. Detailed descriptions of the experiments and their tectonic interpretation are presented in Zwaan et al. (2020a).
Survey data from a randomized controlled trial evaluating the Shifting Boundaries dating violence and sexual harassment prevention program. The study involved 35 public middle schools in New York City and surveyed 6th, 7th, and 8th grade students at baseline and two follow-ups. The research was conducted by Bruce G. Taylor of the University of Chicago.
A digital outcrop model of the northern face of Productustoppen in Nordenskiöld Land, Svalbard. The model was created by Veerle van Winden of Radboud University Nijmegen using Agisoft Metashape software. It is georeferenced using coordinate reference systems EPSG:4326 and EPSG:32633.
A sequence of biostratigraphic events derived from middle to late Eocene calcareous nannofossil assemblages in four sections of the Otway Basin, southeastern Australia. The dataset compares events with counterparts in New Zealand and correlates them with tropical planktic foraminiferal zones. It was published via the Australian Ocean Data Network and last updated on 2026-06-23.
Australian Ocean Data Network hosts data from a study of middle to late Eocene calcareous nannofossil assemblages in four sections in the Otway Basin. The dataset compares biostratigraphic events with planktic foraminiferal zones and assesses sedimentation patterns across the basin. The data was last updated on 2026-06-23.
TIMSS-1995 and TIMSS-1999 provide an unprecedented opportunity to explore relationships between educational policies and student achievement internationally. This data from the Consortium for Policy Research in Education (CPRE) series allows for detailed, multi-phase analysis of instructional variables and national performance differences. Results from this research raise important questions about policy, practice, and achievement rather than prescribing simple recommendations.
Palestinian university students from three institutions participated in a cross-sectional survey on exam anxiety. The dataset contains responses from 1,519 participants, with data collected using the Westside Test Anxiety Scale and a self-administered questionnaire. The study was authored by Issa Abuiram and last updated in May 2026.
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.
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.
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.
A 2004 Indian Ocean tsunami benchmark dataset for validating hydrodynamic models across generation, propagation, and inundation stages. The data, from the Australian Ocean Data Network, incorporates geodetic earthquake measurements, satellite altimetry, eyewitness accounts, and a detailed inundation survey of Patong Bay, Thailand. It was used to validate the ANUGA hydrodynamic modeling tool.