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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
15,190 datasets
NESP TWQ Project 1.6 synthesizes experimental and field data to develop a quantitative framework for assessing how multiple pressures lead to cumulative impacts on the Great Barrier Reef. The project, managed by the Australian Ocean Data Network, applies ecotoxicology tools to investigate environmental thresholds and uncertainties for risk assessments. It also outlines a roadmap for a management framework to address local stressors within the context of global pressures.
A 2017 state-wide assessment of coastal erosion and inundation hazards for Victoria, Australia, based on future climate change scenarios. The dataset was produced by the Victorian Department of Energy, Environment and Climate Action to inform the inception of the Victorian Coastal Monitoring Program. It projects Sea Level Rise and Storm Surge impacts from a 2009 baseline to years 2040, 2070, and 2100 using Global Climate Change Models and RCP 4.5 or RCP 8.5 emission scenarios.
Samantha Shewchuk's scoping review examines how equity is conceptualized and operationalized in collaborative education research. The work involved a systematic search yielding 7,123 records, which were screened down to 295 open-access articles for analysis. It proposes a unifying Equity-Centered Collaboration Framework based on a mixed-methods analysis of goals, processes, and outcomes.
A research study by Meruyert Serik analyzes the impact of two school-based STEM projects on student and teacher competencies. The study involved 96 senior secondary students, five master's students, mentor teachers, and academic consultants from three universities. Data was collected through classroom observations, reflective journals, interviews, artifact evaluation, and competency rubrics.
Bengt Muthén's article analyzes U.S. student mathematics achievement data from the Second International Mathematics Study (SIMS). The data contains measurements taken at the beginning and end of eighth grade, with each score containing a large amount of measurement error. The analysis uses multilevel factor analysis to address variance decomposition between and within classes over the school year.
Chaurpati Rural Municipality in Achham district, Nepal, is the geographic scope of this survey. The dataset contains quantitative survey data from 385 resident girls and women in their menstrual lifespan, collected via individual interviews using KOBO toolbox. The study was conducted by Kalpana Jnawali and analyzes menstrual hygiene management practices following a government demolition campaign targeting traditional seclusion huts.
Neuropsychological exam data from the Sacramento Area Latino Study on Aging (SALSA) project, which tracked physical and cognitive health in elderly Latinos. The study, led by Mary N. Haan of the University of Michigan, collected data from 1996 to 2008. It includes tests of semantic memory, spatial abilities, attention span, and conceptual thinking, alongside demographic information like age, language, and education.
A machine learning model predicts the CASSCF-quality on-top pair density, a quantum chemical property indicating electron correlation, for organic molecules. The model was trained on the GDB11-AD-3165 database, bypassing the need for ab-initio computations. It was developed by Alberto Fabrizio at École Polytechnique Fédérale de Lausanne.
Over 6,000 children, adolescents, and young adults were followed in a longitudinal study by Harvard University's Felton J. Earls. The Project on Human Development in Chicago Neighborhoods examined influences on antisocial behavior. This component, Wave 3 from 2000-2002, contains self-reported data on specific drug use from five age cohorts.
Raw data used to develop SIMON, an automated machine learning system for analyzing immune responses to influenza vaccination. The data was downloaded from Stanford Data Miner and analyzed using the mulset algorithm, as described in a 2019 publication in the Journal of Immunology. The dataset's author is affiliated with Stanford University.
Approximately 1200 defined terms form the core of this glossary for non-immunologists. Douglas M. Templeton of the University of Toronto compiled this resource to clarify immunology and immunotoxicology concepts for chemists, toxicologists, and regulatory professionals. The document includes annexes listing common abbreviations, chemicals affecting the immune system, and therapeutic agents.
Approximately 1200 primary alphabetical entries define terms for immunotoxicology, compiled by Douglas M. Templeton of the University of Toronto. The glossary includes terms related to basic and clinical immunology, diagnosing and measuring immune system effects, and annexes on abbreviations, chemicals, autoantibodies, and therapeutic agents. Its primary objective is to aid chemists, toxicologists, pharmacologists, and regulatory authorities in understanding immunology literature for occupational and environmental risk assessment.
Experimental data from a study assessing changes in attitudes of 52 Greek/Cypriot female students towards the Turkish/Cypriot community. The study, conducted by a researcher at the University of Oxford, compared the impact of direct versus extended contact. Measures of attitudes and attitude strength were taken before and after contact, and the moderating roles of mutual self-disclosure and prior attitude strength were examined.
Current and last 100 days of determined planning applications from Surrey County Council in the UK. The data is updated daily and formatted according to the ODUG/LGA national schema. Surrey County Council oversees applications related to specific infrastructure types like waste, minerals, highways, and schools.
Spending data over £25,000 from the Training and Development Agency for Schools, published as part of a government transparency agenda. The data is provided by the UK Department for Education and its Arm's Length Bodies, with the last update recorded on 2026-07-08. The dataset is intended to help achieve better value for money in public expenditure.
Saule Xembayeva's dataset contains survey responses from 117 female researchers aged 25–65 from four universities in Kazakhstan's Pavlodar region. Data was collected via a semi-structured questionnaire and diagnostic battery focusing on motivation, cognitive readiness, digital competence, self-efficacy, impostor syndrome, and reflective readiness. Statistical analysis was performed using SPSS 26.0, with results last updated on 2026-06-03.
Global data on the adjusted net attendance rate for children one year before the official primary school entry age, as defined by UNICEF. The dataset measures the percentage of children participating in organized learning programs, which may include early childhood education and care. It was last updated on July 12, 2026, by UNICEF Data and Analytics (HQ).
UNICEF Data and Analytics (HQ) provides a global indicator measuring the percentage of children of official primary school age who are not enrolled in any level of education. The dataset is updated as of July 2026 and is available in CSV and XML formats under a CC-BY-3.0-IGO license.
UNICEF Data and Analytics (HQ) provides a dataset on the percentage of youth of upper secondary school age who are not enrolled in any formal education. The data is available in CSV and XML formats and was last updated in July 2026. It measures the out-of-school rate by comparing the number of non-enrolled children to the total population of official upper secondary school age.
Annual data on Northern Ireland domiciled students gaining qualifications from UK higher education institutions, collected by the Higher Education Statistics Agency. The dataset includes specific figures for Open University enrolments and qualifications for the 2013/14 academic year. It is provided to the Department for Employment and Learning, Northern Ireland, for analysis.