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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,019 datasets
Geoscience Australia conducted a regional assessment of geological CO2 storage potential in the Browse Basin, offshore northwest Australia, between 2013 and 2015. The study used data from over 60 wells, regional 2D and 3D seismic surveys, and potential field data to assess storage plays in the Cretaceous succession. Results indicate the Lower Cretaceous basin margin and Upper Cretaceous confined submarine fan plays are more prospective for CO2 storage.
Engage Barnet is the official consultation hub for the London Borough of Barnet. The platform hosts active consultations and archives data from past public engagement efforts. The data was last updated on May 13, 2026.
1,298 teachers from rural schools in the Chengdu-Chongqing region and Sichuan Province universities participated in a survey on professional development. The data supports structural equation modeling analysis of relationships between Community of Inquiry framework dimensions, learning motivation, self-efficacy, and development outcomes. It is a small dataset at 14.6 KB, stored in a DOCX file.
18 machine learning and geostatistical methods were tested for predicting seabed mud content across three Australian marine regions. The study, published by Geoscience Australia, found that combining Random Forest with Ordinary Kriging or Inverse Distance Squared reduced prediction error by up to 19%. It provides an alternative source of methods for spatial interpolation, with results available in PDF and HTML formats.
Student-generated questions and solutions collected during an inquiry-based learning experiment in an upper-secondary school in Tuscany, Italy. The dataset also includes a post-intervention student questionnaire. It was created by Lorenzo Angiolelli and published on figshare in April 2026.
Model analysis by Xiaoyue Zhang, uploaded to figshare on 2026-04-15. The dataset is an XLSX file of 13.3 KB, applying a two-implicit-state model to decompose implicit learning into fast and slow components. The analysis is driven by performance error (PE) and sensory prediction error (SPE).
A qualitative document synthesis of 29 local and international policies, conducted to develop 18 generic rehabilitation principles. The study, authored by Kirsty van Stormbroek and last updated in March 2026, focuses on hand therapy services delivered by occupational therapists in South Africa. The principles are categorized under the goal, nature, and enablers of rehabilitation.
From the 2008-09 to 2025-26 fiscal years, this dataset details the annual operating grants provided to Nova Scotia's publicly funded universities and the Nova Scotia Community College. It includes grant values in current dollars and records any time-value discounts applied due to alternative payment arrangements. The data is published by the Government of Nova Scotia on the open_canada platform.
Highland Council Area Primary Schools are maintained by the Care & Learning Service. The dataset includes all schools, with status updated for mothballed and closed institutions rather than removal. It is published under the Open Government Licence by the Government Digital Service.
A comparison of automated assessment platforms regarding their features and characteristics. The dataset includes information on AI use, academic subject coverage, misconduct verification, real-time feedback, unique question generation, adaptive testing, and time-limited functionality. It is a 5.5 KB Excel file authored by Wasiq Khan and last updated on April 15, 2026.
A comparison of existing automated assessment platforms regarding their features and characteristics. The dataset includes details on AI usage, academic subject coverage, misconduct verification, real-time feedback, unique question generation, adaptive testing, and time-limited functionality. Created by Wasiq Khan and last updated on April 15, 2026, it is a 5.5 KB Excel file.
Data from a manuscript titled "Adult-Learning Newborn Medicine Curriculum Improves Knowledge in a Low-Resource Neonatal Unit in Sierra Leone". It contains deidentified paired scores for Phase I and Phase II pre- and post-tests, per test and topic, along with raw and scored data from subjective assessments. The dataset was authored by Anne Hansen and is hosted on Harvard Dataverse, last updated on 2026-05-29.
Config Examples is a repository of example JSON configuration files for the LeRobot code base. The dataset includes configurations for real robot environments and training setups, such as for HIL-SERL reinforcement learning. It was created by lerobot and last updated on May 10, 2026.
Ontario's data on enrollment in locally developed secondary school courses, approved by school boards to meet needs not covered by the provincial curriculum. The dataset is organized by school board and includes course codes, descriptions, grades, pathways, and enrollment counts. It is provided by the Government of Ontario and was last updated in March 2026.
Ontario public and Catholic school board-level data tracks Grade 9 Math course enrollment by type (academic, applied, locally developed) for each academic year. The Government of Ontario collects this data via the Ontario School Information System (OnSIS), with the dataset last updated in March 2026. It includes counts and percentages of students, though totals exclude private schools and certain specialized programs.
Online learning course enrolment totals by course and year for Ontario's public and Catholic schools, reported via the Ontario School Information System (OnSIS). Data includes course codes and names, with enrolment totals that count students per course and include withdrawn or dropped courses. The dataset excludes private schools and ECPP facilities, with cells suppressed for categories with fewer than 10 students and totals rounded to the nearest five.
A prospective cohort study of 80 adults initiating tuberculosis treatment in Kampala, Uganda. The dataset includes TB knowledge scores before and after routine education, self-reported medication adherence at multiple follow-up visits, and final treatment outcomes. It was authored by Tyler Scott Johnson and last updated in March 2026.
Supplementary Material 1 for a perspective on applying data-driven machine learning for chemical hazard identification. The 72.4 KB XLSX file is published on figshare under a CC-BY-4.0 license by author Geven Piir. It was last updated on 2026-05-05.
Geoscience Australia Data produced a geospatial classification of the Australian continental shelf based on predicted sediment movement. The analysis uses estimates of significant wave height, wave period, and tidal current speed over a semi-lunar cycle to predict areas where unconsolidated sediment is mobilized. These sediment-entraining processes were examined independently to quantify their relative importance on the continental shelf.
A benthic biotope map of Sullom Voe, a large shallow inlet and ria in the Shetland Isles, produced for Scottish Natural Heritage. The boreal-arctic species-rich communities are unique to Shetland voes and not represented elsewhere in the UK's SAC series. The map was created by Envision Mapping, sub-contracted by Heriot Watt University, using acoustic remote sensing combined with grab and video sampling.