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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,594 datasets
A 2026 meta-analysis synthesizing data from 19 observational studies published up to December 31, 2025, involving 2,315 participants. The study examines the diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index to assess glymphatic system function in patients with various sleep disorders compared to healthy controls. It was authored by Xiaoxin Zhang and shared under a CC-BY-4.0 license.
81 peer-reviewed empirical studies published between 2015 and 2025 were synthesized in this systematic review and meta-analysis. The work, authored by Gulzhan Zholaushievna Niyazova and uploaded to figshare in 2026, examines the effects of gamified, AI-enabled digital learning environments on personalized learning and student engagement in school science education.
Organic contaminants detected in sediments from Geoscience Australia's marine survey S282 in the Arafura Sea. The dataset likely contains identified compounds such as fatty acid amides, antioxidants, and UV absorbers, along with their potential sources from sampling materials. The data was collected by the Australian Ocean Data Network.
Ana Barajas published a dataset on figshare in 2026 from a study evaluating the Spanish version of the Comprehensive Assessment of At-Risk Mental States (CAARMS-S) interview. The data likely contains clinical assessment scores for 93 participants, including individuals at ultra-high risk, with first-episode psychosis, and matched controls. Data collection involved multiple validated scales like the CAARMS-S, PANSS, GAF, SCID-II, and K-SADS-PL.
A prospective longitudinal study from the Early Intervention Program in Catalonia evaluated 93 participants (36 at ultra-high risk, 43 with first-episode psychosis, and 14 controls). The dataset, created by Ana Barajas and last updated in April 2026, contains clinical interview data from multiple validated scales, including the CAARMS-S, PANSS, GAF, SCID-II, and K-SADS-PL.
Ana Barajas's dataset contains clinical assessment data from a study evaluating the Spanish version of the Comprehensive Assessment of At-Risk Mental States (CAARMS-S) interview. The data includes scores from 36 individuals at ultra-high risk, 43 with first-episode psychosis, and 14 matched controls, collected through clinical interviews and validated scales like PANSS and GAF. The dataset was last updated on April 13, 2026.
Approximately 0.0517 million kilometers of roads are mapped for Lebanon, with AI-derived estimates classifying 19.1793% as paved and 3.8679% as unpaved. The dataset, created by HeiGIT and last updated in March 2026, combines OpenStreetMap data with deep learning predictions from Mapillary imagery and urban layers. It is intended to support transportation planning, infrastructure analysis, and climate emissions assessment.
A 2022 assessment of conventional and unconventional hydrocarbon potential in the Adavale Basin, central Queensland. The dataset was generated by Geoscience Australia and CSIRO using 39 petroleum exploration wells and a data-driven, split-risking methodology. It identifies 25 play elements and seven chronostratigraphic sequences, producing risk maps to indicate prospectivity.
A study by Chenrui Miao, published on figshare in 2026, investigates the relationship between AI literacy and writing engagement among second language learners. The dataset includes quantitative survey responses from 408 L2 Chinese learners and qualitative data from eight participants' diaries and interviews. It explores the mediating roles of writing anxiety and enjoyment within the framework of Control-Value Theory.
German school children from grades 1 to 4 (N = 277) participated in a cross-sectional study. The data includes results from tablet-based tasks measuring rapid auditory processing, rhythmic auditory processing, phonological processing, and reading and spelling tests. The dataset was authored by Sindy Weise and last updated on 2026-05-08.
Pre-trained machine learning models for three MedMNIST medical imaging datasets: NoduleMNIST3D, OrganAMNIST, and PathMNIST. The models were trained to 100% accuracy and are discussed in the arXiv paper 'Error-free Training for MedMNIST Datasets'. The dataset was authored by Bo Deng and last updated on April 20, 2026.
A 71.1 KB qualitative research document based on semi-structured interviews with 22 participants, authored by Xingting Wu and last updated on May 8, 2026. The study examines how younger family members guide older relatives in using Generative AI within the Chinese cultural context of Digital Backfeeding. It introduces the concept of the 'Warm Steward' to describe the emotional labor and risk management involved in this intergenerational support.
48.9 KB of aggregated descriptive statistics and post hoc comparison results support findings from a study on a digital visual perception assessment interface. The dataset, authored by Hsiao Ping Chiu and last updated in 2026, includes age-group and educational-level descriptive statistics and a summary of significant findings. Full interview transcripts and individual-level participant data are not included due to confidentiality.
Data Sheet 1_Music-related background and experience as correlates of music performance anxiety among Japanese musicians.docx contains survey data from 390 Japanese musicians aged 19–64 years. The dataset, authored by Sakie Takagi and last updated in May 2026, includes responses from 194 professional and 196 amateur musicians who completed online questionnaires measuring music performance anxiety.
A 2026 case series study by R. Maggio examines the use of a multisensory room (MSE) as a structured mid-morning break for five autistic students in a public school. The study, published on figshare, assessed feasibility, safety, and behavioral changes through service metrics, observation, and teacher questionnaires. The document reports a reduction in challenging behaviors and improved sensory regulation among participants.
Roger Pros published a supplementary file on figshare in May 2026 describing a novel neural network method for estimating continuous treatment effects. The 247.1 KB PDF document details experiments on synthetic and semi-synthetic datasets used to evaluate the proposed hypernetwork-based approach. The work addresses challenges in modeling non-linear treatment-response dynamics with high-dimensional confounders.
600 pre-service teachers completed questionnaires assessing AI literacy, basic psychological needs, and learning motivation. The dataset, authored by You Wang and last updated in May 2026, contains results from an explanatory sequential mixed-methods study, including subsequent interviews with 44 participants.
Magic Bullets is an accessible, hands-on educational activity designed to address immunology deficiencies in grade-school STEM education, particularly in West Virginia and rural Appalachia. The 11.0 MB DOCX file, authored by Katherine Grimes and last updated in May 2026, contains materials for a kinesthetic learning game where participants create wearable antibody models. Preliminary feedback indicates the activity improved participants' understanding of basic immunological concepts and fostered greater interest in science.
A benchmark for validating tsunami inundation models based on the 2004 Indian Ocean tsunami. The benchmark uses geodetic earthquake measurements, satellite altimetry data, eyewitness accounts, and a detailed inundation survey of Patong Bay, Thailand. It validates all three stages of tsunami evolution—generation, propagation, and inundation—and is used to test the hydrodynamic modeling tool ANUGA.
Five versions of the Depression, Anxiety and Stress Scales (DASS-21, -14, -12, -9, and -8 items) were compared in a single cohort of Mexican university students. The study, authored by Luis Hernando Silva Castillo and last updated in May 2026, used confirmatory factor analyses and validity tests to evaluate the forms for screening emotional distress. The DASS-12 version showed the most favorable balance between brevity and dimensional differentiation.