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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,946 datasets
165 parents and 13 practitioners participated in a study analyzing access to a perinatal mental health program. The research, led by Zoë Darwin and published in 2026, examined data from a trial of 51 Circle of Security-Parenting groups across 10 services in England.
Infrastructure Australia's 2019 audit includes a geospatial dataset modeling average weekday public transport travel time to the nearest public secondary school during the morning peak period (7am to 9am). The data was created by Infrastructure Australia as part of strategic transport modeling for the Urban Transport Crowding and Congestion supplementary report. It was published in 2019 and last updated on the platform in April 2026.
Average weekday travel times during the morning peak period of 7am to 9am are calculated for reaching the nearest public secondary school via public transport. Infrastructure Australia produced this data for the 2019 Australian Infrastructure Audit, modeling strategic transport performance. The analysis focuses on conditions during 2016.
Sediment samples from Seymour Island in Antarctica target the Cretaceous-Paleogene boundary to evaluate extinction patterns. A 4-year project led by the AMD_USAPDC organization applies microfossil, petrology, and geochemistry techniques. The dataset supports research into whether the end-Cretaceous mass extinction was a single or double-phased event.
Average weekday transport performance during the AM peak period from 7am to 9am is modeled. Infrastructure Australia produced this data for the Australian Infrastructure Audit 2019, focusing on urban transport crowding and congestion. The analysis provides a strategic view of public transport accessibility to primary schools.
Infrastructure Australia's strategic transport modelling layer provides average weekday travel times to the nearest public primary school via public transport during the 2016 morning peak period (7am to 9am). The data was created for the 2019 Australian Infrastructure Audit supplementary report on Urban Transport Crowding and Congestion. The dataset was last updated in April 2026.
Resource Reliability data indicates the percentage of time additional water abstraction may be available for licensing. This dataset is based on a nationally consistent method, with results overridden to reflect local assessments in published Abstraction Licensing Strategies. It originates from the UK Government Digital Service and is licensed under OGL-UK-3.0.
Underwater video and still images were collected from 49 stations during a marine survey of the Leveque Shelf in May 2013. The survey was conducted by Geoscience Australia to assess seabed geology and habitats for CO2 storage potential. It includes video transects, real-time characterizations, and navigational data from the Northwest Shelf of Western Australia.
Infrastructure Australia's 2019 audit includes geospatial data on average weekday car travel times to the nearest public secondary school during the morning peak period of 7am to 9am. The data was created for strategic transport modeling in the 'Urban Transport Crowding and Congestion' supplementary report. It was published by Infrastructure Australia and last updated in April 2026.
44 video transects and 6,229 still photographs were collected from the Western Australian continental margin between October 2008 and January 2009. The survey was conducted by Geoscience Australia in collaboration with the Western Australia Geological Survey and the University of the Sea aboard the R.V. Sonne. Data acquisition focused on geological, geophysical, oceanographic, and biological characteristics of the deep-sea environment.
Rounded student numbers for tertiary education in Victoria and Melbourne Local Government Area from 2016 to 2019. Data combines higher education statistics from the Australian Government Department of Education, Skills and Employment and vocational education figures from the National Centre for Vocational Education Research.
Land use capability modeling for barley production in the Southern Grampians Shire Council region. Deakin University developed this suitability model for the local council, with the underlying scientific methods detailed in a linked 2015 report. The dataset was last updated in April 2026.
Southern Grampians Shire Council in Australia provides a current land suitability model for barley cultivation. The model was developed by Deakin University as part of a Land Use Capability project for the council. The dataset was last updated in April 2026.
A government report on payment timeliness published annually by the Australian Department of Education. The dataset is published each financial year as of 1 July 2020 and is available under a CC-BY-4.0 license. The data was last updated on 27 April 2026.
Comprising assessment scores for 43 medical laboratories in the Kumasi Metropolis of Ghana, evaluated using the WHO SLIPTA checklist. The data includes overall compliance scores, facility types, and statistical test results from a 2021 survey.
A geospatial model assesses land suitability for lettuce cultivation within the Southern Grampians Shire Council area. It was developed by Deakin University for the council as part of a Land Use Capability project, with the final report published in 2015. The dataset was last updated in April 2026.
A model assesses land suitability for Winter Hemp cultivation in the Southern Grampians Shire Council area. Deakin University developed this model through the Land Use Capability project for the local council. The dataset was last updated in April 2026.
An 11.7 KB Excel file published on figshare by Ting Zhang on May 14, 2026. The dataset likely contains supplementary survey or evaluation data related to a study on medical education. Columns suggest it may include metrics for teaching behavior, professional competence, identity, and campus environment satisfaction.
Southern Grampians Shire Council provides a geospatial model assessing land suitability for onion cultivation within its jurisdiction. The model was developed by Deakin University as part of a Land Use Capability project. The dataset was last updated in April 2026.
Southern Grampians Shire Council provides a geospatial model assessing land suitability for onion cultivation. The model was developed by Deakin University as part of a Land Use Capability project. The dataset was last updated in April 2026.