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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,457 datasets
A systematic review and meta-analysis of 52 randomized controlled studies published from 2017 to 2025, involving 3,312 participants in China's Standardized Residency Training program. The study, authored by Dongjun Dai and shared on figshare, compares the effectiveness of mind mapping versus lecture-based learning on examination scores and learner satisfaction. The analysis found mind mapping was associated with higher scores in theoretical knowledge, case analysis, and procedural skills.
52 randomized controlled studies with 3,312 participants published from 2017 to 2025 were analyzed. The meta-analysis compares mind mapping to lecture-based learning in China's Standardized Residency Training program. The document was authored by Dongjun Dai and uploaded to figshare in 2026.
1,060 women aged ≤40 years diagnosed with stage I–III breast cancer were studied in a single-center retrospective cohort. The data includes clinicopathological variables and treatment details used to build a Random Survival Forest model for risk stratification, achieving a C-index of 0.723. Author Bin Xu published the dataset under a CC-BY-4.0 license on figshare.
An article by R. Dennis Cook provides a method for determining power and sample size for lack-of-fit tests in unreplicated designs. The 328.6 KB resource, last updated in 2026, explores the effect of different replication patterns on statistical power. It offers guidelines for augmenting factorial, screening, and response surface experiments.
NASA's Web-Enabled Landsat Data (WELD) provides 30-meter resolution seasonal mosaics of Alaska from 2002 to 2012. The dataset includes Top of Atmosphere Reflectance, Brightness Temperature, and derived Normalized Difference Vegetation Index (NDVI) values. This project was a collaboration between NASA, the USGS EROS Center, and South Dakota State University.
NASA's Web-Enabled Landsat Data (WELD) provides 30-meter resolution monthly mosaics of Alaska from 2002 to 2012. The dataset includes Top of Atmosphere Reflectance, Brightness Temperature, and NDVI derived from Landsat ETM+ imagery. It was decommissioned in 2019, with users directed to newer GWELD versions.
Ye Tian published a research paper on multi-task and transfer learning for Gaussian Mixture Models (GMMs) on May 18, 2026. The work includes a proposed learning procedure based on the EM algorithm, theoretical guarantees, and demonstrations through simulations and real data examples. The dataset consists of supporting files in PDF and GZ formats totaling 1.5 MB.
A review covering 353 in vitro NAM-based studies published between 2021 and 2025, with 70 studies classified as advanced in vitro NAMs. The dataset, authored by Hyunwoo Kim and shared on figshare, analyzes the application of models like route-of-exposure-relevant systems, Omics, and 3D models to assess mixtures including air pollutants, PFAS, and pesticides.
Chenxiao Wei published a dataset containing measured superpixel complex amplitude modulation results at three wavelengths (638 nm, 520 nm, 450 nm). The data includes complex amplitude distributions (F_spR, F_spG, F_spB) across four phase coordinates for each wavelength, with coordinate ranges and step sizes specified. The dataset was last updated on 2026-05-20 and is available as a 15.9 MB CSV file under a CC-BY-4.0 license.
59 higher education teachers from seven Finnish universities reported their emotions before and after 185 teaching situations via smartphone app and survey. Data was collected as part of the THEwellbeing research project (2022–2026) by Liisa Postareff. Results showed a shift from activating emotions before teaching to deactivating emotions afterwards.
A 2026 methodological paper by Xinyu Li proposes a novel intrinsic Gaussian process regression model for data with a response variable measured on a Riemannian manifold. The work includes numerical studies with simulations and real examples to validate the method. The dataset, shared on figshare under a CC-BY-4.0 license, includes supporting files in PDF, ZIP, and TXT formats totaling 2.0 MB.
An exploratory pilot study by Juan Manuel Rosero Ñañez developed a multimodal instrument for objective spasticity quantification. Data was collected from nine individuals with upper-limb spasticity due to cerebral palsy or stroke using wearable sensors. The dataset contains six area under the curve-based indicators and a Composite Index derived from muscle activation, joint kinematics, and force measurements.
An action research study exploring how community-based experiential learning supports citizenship competency development in accounting students. The dataset comprises student reflections, peer and self-evaluations, and questionnaire data analyzed using thematic analysis and statistical tests. It was authored by Remerta Basson and last updated on 2026-05-21.
Ling Wang's dataset on figshare contains cross-sectional data from 266 preschool children aged 3–6 years. It examines relationships between 24-hour movement behaviors (physical activity, sedentary behavior, sleep) and executive function, measured via accelerometer, sleep logs, and the Early Years Toolbox. The dataset was last updated on 2026-05-08.
266 preschool children aged 3–6 years participated in a cross-sectional study examining 24-hour movement behaviors and executive function. The dataset includes accelerometer-measured physical activity and sedentary behavior, sleep logs, and executive function scores from the Early Years Toolbox. It was authored by Ling Wang and last updated on 2026-05-08.
20.6 tons of CO2-eq per year were emitted by the DYNAMIC digital health project across 40 Tanzanian health facilities. This dataset contains the life cycle assessment results quantifying the raw material resources, energy, and environmental impacts of the tablet-based clinical decision support system. The data was authored by Maxime Karlen and last updated in May 2026.
A 2026 life cycle assessment study evaluates the resource consumption and environmental impacts of the DYNAMIC digital health intervention in Tanzania. The analysis quantifies greenhouse gas emissions, fossil energy use, and damages to ecosystems and human health over one year across 40 health facilities. Authored by Maxime Karlen, the study was published on figshare under a CC-BY-4.0 license.
75 university students participated in a study comparing traditional teaching, the ARCS motivation model, and an ARCS-integrated chatbot for physiology education. Quantitative results show the ARCS+Chatbot group had significantly higher post-test academic achievement than both other groups. The dataset, authored by Yasin Ali Cimen and last updated in 2026, includes pretest/post-test scores, cognitive load, and technology acceptance measurements.
Sixteen red prickly ash germplasms were subjected to low-temperature treatments at 0, -10, -20, and -30 °C. The dataset, authored by Yuping Wang and last updated in 2026, contains physiological measurements including relative conductivity, soluble sugar, soluble protein, free proline, and antioxidant enzyme activities. It identifies germplasms with strong and weak cold tolerance based on comprehensive membership function scores and principal component analysis.
Eight primary school teachers provided interview transcripts on integrating immersive virtual reality into their classrooms. The data was analyzed using a thematic-quantitative reanalysis workflow to explore pedagogical approaches and perceived impacts. Authored by Ashwaq Munif Almutairi and last updated in May 2026.