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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,997 datasets
A comparison of analytical and numerical solutions at selected points for a specific example. The dataset was authored by Abdulrahman A. Sharif and is available under a CC-BY-4.0 license. It is a small 5.5 KB Excel file last updated on April 29, 2026.
Abdulrahman A. Sharif published a dataset comparing analytical and numerical solutions at selected points for Example 5.1. The data is stored in a 5.5 KB XLS file and was last updated on 2026-04-29. It is shared under a CC-BY-4.0 license on the figshare platform.
A 5.5 KB Excel file containing data for a convergence analysis of different time step sizes, authored by Abdulrahman A. Sharif. The dataset was last updated on April 29, 2026, and is shared under a CC-BY-4.0 license on figshare.
A 5.5 KB Excel file containing data for a convergence analysis of different time step sizes, authored by Abdulrahman A. Sharif. The dataset was last updated on 2026-04-29. It is shared under a CC-BY-4.0 license on the figshare platform.
Bo Li published results from ablation experiments on learning rate tuning strategies and optimizer selection on figshare. The dataset is a 5.5 KB XLS file last updated on April 29, 2026. It is shared under a CC-BY-4.0 license.
A video flythrough visualizes gridded bathymetry data for the Australian continental margin, excluding the northern region. The product shows detail of features including the Exmouth Plateau, Perth Canyon, Murray Canyons, NSW Slope, and Great Barrier Reef. Data was sourced from Geoscience Australia and James Cook University.
An overview of hyperparameters used for hyperparameter tuning, specifically for transfer learning and fine-tuning. The dataset is a 5.5 KB XLS file authored by Christopher Mai and last updated on 2026-04-29. It is shared under a CC-BY-4.0 license on the figshare platform.
Linear mixed effects models examine the effects of task, age group, and stress pattern on three PVI metrics. The 5.5 KB XLS file was authored by Jill C. Thorson and last updated on April 29, 2026. This small dataset likely contains statistical model outputs rather than raw observational data.
A dataset by Mengqi Guo, last updated May 19, 2026, on the figshare platform. It supports research integrating marker preselection and machine learning methods for low-cost genomic selection breeding. The data focuses on enhancing resistance to Edwardsiella tarda in the spotted knifejaw (Oplegnathus punctatus).
Examples of object properties of the GDO and their domains and ranges. The dataset is a 5.5 KB Excel file authored by Melissa D. Clarkson and last updated on April 29, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
A 2022 map from the Dutch Ministry of the Interior shows the percentage of people aged 18-65 who traveled to school or work on foot or by bicycle. The data includes multi-modal trips, such as cycling to a bus stop. Information is available at both national and district levels.
A multilevel dataset from a 2026 study covering 123 K-12 physical education teachers and 3,446 of their students across three major macro-regions in China. The data includes core variables on teacher digital empowerment, teacher and student embodied dilemmas, teacher embodied TPACK, and student learning outcomes. It was created by Kai Ding and is intended for applying multilevel structural equation modeling and Bayesian estimation methods.
An anonymized survey dataset from 1,055 graduates of 17 Chilean universities, belonging to the 2015, 2016, and 2017 graduation cohorts. The survey, administered between May and November 2023, examines the perceived acquisition of five generic skills through retrospective self-assessments at university entry and exit. The dataset was created by Luis Sandoval and includes sociodemographic, academic, and institutional variables for analyzing associated factors.
202 students participated in an interprofessional health equity course at the University of Illinois Chicago. Program evaluation used a validated 38-item instrument (IPECC-SET) to measure self-efficacy across four domains, showing statistically significant pre-post increases. The dataset contains quantitative and qualitative results from eleven cohorts of health science students.
A systematic review and meta-analysis synthesizes evidence from 29 studies involving 1,509 participants on the effects of errorless motor learning. The analysis calculated effect sizes (Hedges’ g) for movement performance and accuracy across subgroups including children, young adults, and individuals with impairments. The work was authored by Yuen Ting Wong and published on figshare in 2026.
29 studies with 1,509 participants were analyzed to assess the effects of errorless motor learning on movement outcomes. The meta-analysis calculated effect sizes (Hedges’ g) for performance and accuracy across subgroups including children, young adults, and individuals with impairments. The review found a significant large effect for learners with impairments (g = 0.804) and a moderate overall effect for movement accuracy (g = 0.854).
The Integrated Tax System Public Extract (ITSPE) stores property tax assessment and ownership information for the District of Columbia. It is used for sending tax bills, property analysis, and contains data on ownership, mailing addresses, tax lots, condominiums, and federally owned lands. The dataset is published by the District of Columbia government and was last updated on March 25, 2026.
A subset of the Integrated Tax System Public Extract (ITSPE) representing vacant property in the District of Columbia. The data is used for assessment, property analysis, and tax billing, storing information on ownership, mailing addresses, and various lot types. The linkage from Vector Property layers to this database is via SSL (Square, Suffix, and Lot), though not all record lots have a direct 1:1 relationship.
A community-built hybrid retrieval index over the publicly available Encompass Developer Connect documentation. The index is intended as a developer reference and for educational or research use. It was created by Richie-rk and last updated on 2026-05-09.
A 2026 release of agentic modeling trajectories accompanying the paper 'Orchard: An Open-Source Agentic Modeling Framework' by Peng et al. The dataset bundles two parallel datasets distilled from strong teacher models, as described by Microsoft. It was last updated on Hugging Face in May 2026, though the release is currently on hold pending a re-upload.