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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,261 datasets
3,556 training examples document 1,102 heritage colours from the Oxfordshire landscape. The spectrophotometric record was created by Digby Oldridge and was last updated in April 2026. It includes a verified 'Hero 50' flagship colour set.
Research commissioned by the Greater London Authority analyzes outcomes for graduates who studied in London or were domiciled there prior to university. The Social Market Foundation used HESA data from four academic cohorts spanning 2010/11 to 2013/14, applying descriptive analysis and logit regression models. This work examines how different characteristics influence graduate outcomes when controlling for other variables.
London-based qualitative research on adult education, commissioned by the Greater London Authority. The report is based on in-depth interviews with over 50 people, co-produced with peer researchers over five months using a Participatory Action Research approach. It focuses on barriers to access and improvement ideas, particularly for marginalized groups.
A small Excel dataset for assessing structural equation models, focusing on mediating and moderating variables. The 5.5 KB file was created by Dhamindi Senadheera and last updated in April 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
A 5.5 KB Excel file containing independent variables for a structural model assessment, authored by Dhamindi Senadheera. The dataset was last updated on April 10, 2026, and is shared under a CC-BY-4.0 license on figshare.
A dataset of 240 patient records from a baseline assessment using the Integrated Palliative care Outcome Scale (IPOS). The data, shared by Tushti Bhardwaj under a CC-BY-4.0 license, focuses on the completeness and distribution of IPOS items. The file was last updated on April 3, 2026.
A small dataset of 5.5 KB containing feature importance rankings derived from a machine learning model. The data is provided in an XLS file by author Shah Faisal Mohammad and was last updated on April 10, 2026. The dataset is licensed under CC-BY-4.0.
Mantaka Rahman provides an example search strategy for the PubMed database, illustrating the CoCoPoP Framework. The dataset is a 9.5 KB Excel file last updated on April 10, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
Registration and location details for education facilities in Cox's Bazar, Bangladesh, as recorded in 2018. Produced by the Cox's Bazar Education Sector, the records include official identification numbers assigned to each facility for administrative tracking. The data is provided in XLSX format to support humanitarian and educational planning in the region.
Supplementary Material 11 from a study integrating weighted gene co-expression network analysis and machine learning to identify SEC14L5 as a potential biomarker for polycystic ovary syndrome. The 6.6 KB text file was published by Zhe Wang on figshare under a CC-BY-4.0 license and last updated on 2026-04-15.
Supplementary Material 8 from a study integrating weighted gene co-expression network analysis and machine learning. The 4.2 KB CSV file, published on figshare by Zhe Wang in April 2026, likely contains results identifying SEC14L5 as a potential biomarker for polycystic ovary syndrome. Its small size suggests it is a focused output table rather than a raw data repository.
Supplementary Material 9 from a study titled 'Integrated weighted gene co-expression network analysis and machine learning analysis identifies SEC14L5 as a potential biomarker for polycystic ovary syndrome'. The dataset is a 53.6 KB CSV file published on figshare by Zhe Wang under a CC-BY-4.0 license. It was last updated on 2026-04-15.
Supplementary Material 7 from a study titled 'Integrated weighted gene co-expression network analysis and machine learning analysis identifies SEC14L5 as a potential biomarker for polycystic ovary syndrome'. The dataset is a 1.8 MB CSV file published on figshare by author Zhe Wang under a CC-BY-4.0 license and last updated on 2026-04-15.
Supplementary Material 10 from a study identifying SEC14L5 as a potential biomarker for polycystic ovary syndrome (PCOS). The 1.8 MB CSV file, published on figshare by Zhe Wang under a CC-BY-4.0 license, likely contains results from integrated weighted gene co-expression network and machine learning analyses. The dataset was last updated on April 15, 2026.
2013 school year data provides geospatial locations of active schools in Western Australia for the first semester. The dataset was created by the Department of Education and Training, authored by Steven Borbely.
Fall 1990 onward, this dataset tracks enrollment trends across City University of New York (CUNY) colleges. It includes headcount and full-time equivalent enrollment figures categorized by student type, such as freshmen, transfers, graduates, and undergraduates. The data is provided by the New York State government.
Calderdale's survey has been running for 13 years in secondary schools and 11 years in primary schools, providing longitudinal insight into children's lives. The dataset is managed by the Calderdale Metropolitan Borough Council and was last updated in April 2026. It is designed to inform partners working towards strategic outcomes for children and young people.
First semester 2017 school year data lists active school locations in Western Australia. The dataset was created by the Department of Education and authored by Steven Borbely.
A video from the Australian Ocean Data Network, last updated on 2026-04-10, presents examples of shell fossils to understand past ocean locations in Australia. It showcases brachiopods from Woolshed Creek in Canberra and a large spiral shell from the Nullarbor Plain, along with an elevation map. The shells are described as originating from shallow marine environments millions of years ago.
Enrollment trends at the City University of New York (CUNY) system beginning in the fall of 1990. The data includes head counts and full-time equivalent (FTE) enrollment figures categorized by student type, such as transfers, freshmen, graduates, and undergraduates. It is published by data.ny.gov and was last updated on March 25, 2026.