Loading...
Loading...
Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,116 datasets
MCD43A2 Version 6.1 provides daily quality information for BRDF and albedo retrievals from the MODIS instruments on NASA's Terra and Aqua satellites. The dataset is produced by the LPCLOUD organization using 16 days of data temporally weighted to the ninth day of the retrieval period. It contains band-specific quality flags and ancillary data for MODIS bands 1 through 7.
Daily global data from 2000 to present provides the three model weighting parameters (isotropic, volumetric, and geometric) for deriving surface albedo and reflectance. The dataset is produced by NASA's LPCLOUD using 16 days of combined Terra and Aqua MODIS observations, temporally weighted to the ninth day of the retrieval period. It covers MODIS spectral bands 1-7 plus visible, NIR, and shortwave bands with associated quality layers.
Adult reproductive data for redbait (Emmelichthys nitidus) collected via midwater trawling during the spawning season. The dataset includes biological information on size, sex, and reproductive condition, with histological examination of ovaries providing spawning activity and batch fecundity details. It is hosted by the Australian Ocean Data Network and was last updated on 2026-04-10.
A 2023 gear trial from Heriot Watt University's Lyell Centre compared commercial and experimental whelk pot designs in the English Channel. All captured whelk (Buccinum undatum) were measured for total shell length using calipers. The data likely contains paired catch records from control and test pots with different escape gap designs.
A national geospatial dataset and mapping tool developed by the University of Wisconsin, Madison School of Medicine and Public Health to measure socioeconomic disadvantage at the neighborhood level across the U.S. It provides the Area Deprivation Index (ADI), a composite measure combining 17 indicators across income, education, employment, and housing quality domains. The dataset offers ranked scores, including national percentiles and state deciles, for neighborhood comparison.
Training datasets for the OmniVL-Guard safety guard model, accepted at ICML 2026. The collection includes multi-modal training data (22.1 GB), multi-modal reinforcement learning data (27.3 GB), and refined supervised fine-tuning examples (105 MB). The dataset was uploaded by SJJ0854 and last updated on May 11, 2026.
10,372 examples form a benchmark for generating programmatic teaching videos using the Manim library. The dataset contains 5,199 English and 5,173 Chinese examples, each pairing a natural-language instruction with a reference Manim answer. It was created by 'posprivacy' and last updated on 2026-05-03.
306 survey responses from Vietnamese adults form the empirical basis for a structural equation model analyzing financial behavior. The model integrates variables like family financial socialization, artificial intelligence, financial literacy, and digital trust. It was developed by Nguyen Quoc Anh to assess direct, mediating, and moderating effects on financial well-being.
Nguyen Quoc Anh's dataset contains survey results from 306 Vietnamese adults, used to test an integrated financial behavior model. It applies Partial Least Squares Structural Equation Modelling to assess direct, mediating, and moderating effects. The data examines relationships between financial socialization, technological factors, financial capability, financial behavior, and financial well-being.
306 survey records from Vietnamese adults analyze financial behavior and well-being. The dataset supports a structural equation model assessing financial socialization, artificial intelligence, and financial capability. It was created by Nguyen Quoc Anh and published in 2026.
306 survey responses from Vietnamese adults analyze financial behavior, socialization, and AI influence. The dataset supports an empirical study using Partial Least Squares Structural Equation Modelling. It examines relationships between financial literacy, digital trust, artificial intelligence, and financial well-being.
Insecurity Insight maintains this record of reported violence and threats against education and health care services in India. The data includes incident reports and damage assessments cited in Safeguarding Health in Conflict Coalition (SHCC) annual reports through March 2026. It tracks the impact of complex emergencies and security incidents on critical infrastructure and personnel.
1.1 GB of data supporting a manuscript on quantum machine learning robustness. The NPY files contain the data used to generate the main plots, published on figshare under a CC-BY-4.0 license by shi-xin zhang in April 2026. The specific column structure and row count are not detailed in the provided metadata.
Survey data supports psychometric validation of a digital competence scale for college teachers. The dataset includes multiple samples for exploratory and confirmatory factor analysis, created by researcher Zhongyuan Liao and last updated in April 2026. It comprises raw and processed data files for 38-item and 34-item versions of the scale.
Survey data from college teachers assesses digital competence and is structured for factor analysis. The dataset includes raw responses and prepared subsamples for Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). Zhongyuan Liao published this data in April 2026.
School Infrastructure Public is a spatial dataset from the New South Wales government detailing public school infrastructure. It is maintained by School Infrastructure NSW and updated quarterly, with the latest update in March 2026. The dataset is accessible via an ArcGIS REST API and export service.
26 faculty and staff completed a 15-week fellowship program from September 2023 to May 2025. Survey data measured changes in fellows' capacity to apply antiracist theory and practice in public health education. The dataset includes pre-fellowship, post-fellowship, and one-year post-fellowship survey results.
26 faculty and staff completed a 15-week antiracist pedagogy fellowship program across four cohorts from September 2023 to May 2025. The dataset contains pre-fellowship, post-fellowship, and one-year post-fellowship survey data measuring changes in participants' capacity, expertise, and awareness. Survey results show statistically significant increases in fellows' ability to review course content and teaching methods for antiracist theory and practice.
Seven trainees participated in a two-phase preparation process for delivering a group-based emotion regulation program for adolescents. The qualitative study used reflexive thematic analysis on interview data to explore implementer experiences during experiential and pilot implementation phases. Findings highlight themes of training assessment, ownership of learning, relational safety, and anticipating contextual challenges.
Hermes OmniForge Qwen3.6-27B v0.3.0 is a synthetic dataset designed for supervised fine-tuning. The dataset includes Unsloth-ready exports and validation scripts, published by author ning423 on Hugging Face. Its last update was recorded on April 24, 2026.