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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
12,903 datasets
Between 25 October 2008 and 19 January 2009, the R.V. Sonne conducted survey GA2476 along Australia's western continental margin. The voyage, part of the Offshore Energy Security Program, collected geological, geophysical, oceanographic, and biological data, resulting in 44 video transects and 6,229 still photographs from depths of 831-4,827 meters. Data was managed by the Australian Ocean Data Network, with detailed reports available as GA Record 2009/38 and 2009/26.
A 2002 technical report from the UK Department of Trade and Industry's Strategic Environmental Assessment (SEA3). It provides an overview of coastal management plans for the North Sea, covering coastal defence, estuaries, biodiversity, and habitats. The report reviews natural and man-made dynamic processes affecting the coastline and the established strategies to mitigate their effects.
The 2006 Strategic Environmental Assessment SEA7 Technical Report on Other Users of the Area was produced by the Department of Trade and Industry. This report provides an initial assessment of significant human activities and infrastructure in the marine and coastal zone of the Irish Sea, excluding fisheries and maritime archaeology. It summarizes current activity, discusses future trends, and evaluates the relevance and potential sensitivity of these users to proposed oil and gas development.
The Northern Triangle area of the UK Continental Shelf (UKCS) is the focus of this macrofaunal analysis. The Department of Trade and Industry (now Department of Energy and Climate Change) conducted this survey, analyzing sixty-three macrobenthos samples from a range of depths. The report presents the faunal results, including a spreadsheet of data and a preliminary literature list for deep-sea taxonomy.
Strategic Environmental Assessment SEA5 provides an overview of 13 distinct industries and activities in the central and northern North Sea. The report was contributed by the UK Department of Trade and Industry, now the Department of Energy and Climate Change. It covers a marine area east of the Scottish mainland, Orkney, and Shetland.
A 2003 Strategic Environmental Assessment report identifies protected coastal and near-shore conservation sites in the northern UK Continental Shelf. The report, contributed by the Department of Trade and Industry, describes sites protected by international, national, and local designations and the reasons for their status. The SEA4 area hosts abundant bird populations, including rare species, due to productive waters and a relative lack of disturbance.
A 2005 government report assessing potential socio-economic implications of oil and gas licensing in the SEA6 area of the Irish Sea. The Department of Trade and Industry (now DECC) provided scenarios which were used to forecast production, reserves, expenditure, employment, and tax revenues. The report also discusses impacts on existing facilities and potential social effects.
The North Sea is the focus of this technical report from the UK's Strategic Environmental Assessment SEA2. It was produced by the Department of Trade and Industry (now the Department of Energy and Climate Change) to assess human activities that could impact or be impacted by oil and gas development. The report covers activities including shipping, energy infrastructure, telecommunications, military operations, waste disposal, dredging, and marine archaeology.
49 stations of underwater video and still images were collected by Geoscience Australia in May 2013 on the Leveque Shelf, a sub-basin of the Browse Basin off Western Australia. The survey aimed to identify evidence of gas or fluid seepage and map seabed habitats to assess the area's potential for long-term CO2 storage. Data includes AVI video files, still images, and USBL navigation files providing location, time, and depth for each transect.
377 participants (85% female, mean age 20.6 years) from Eötvös Loránd University and the University of Pécs completed the Hungarian version of the Statistics Anxiety Rating Scale (STARS). The dataset supports analysis of the scale's construct validity, measurement invariance, and its weak negative correlation with statistics course performance and analytical thinking. It provides evidence for the reliability and validity of the Hungarian STARS in university settings.
A small dataset of 5.5 KB in XLS format, authored by Elif İradeli and last updated on May 14, 2026. It compares scores from two clinical screening tools, MIS and NRS-2002, against a phase angle cutoff point.
NexaSci Scientific Research Tokenized is a large-scale text corpus for AI pretraining, containing 10 billion tokens of scientific research material. The dataset is maintained by AethronPhantom and was last updated in May 2026. It includes the current production reservoir and archived legacy builds.
Survey data from 30,122 Swiss school-aged adolescents aged 11 to 15, collected across five waves from 2002 to 2018. The dataset, authored by Laura Bechtiger, was used to examine secular changes in health-risk behavior profiles and their associations with mental distress.
1994 field campaigns collected NS001 TMS imagery for the BOREAS project to map boreal forest characteristics. The dataset provides spatially extensive information, including detailed land cover and biophysical parameter maps such as fPAR and LAI. Companion files include an image inventory and example thumbnails.
Chinese teachers' survey data on their conceptions and beliefs about assessment, used in a research study. The dataset and analysis files are provided by Ying Wang under a CC-BY-4.0 license and were last updated in May 2026.
Attendance records for 54 government schools under the Directorate of Education, New Delhi. The dataset also includes school characteristics, location, and estimates of ambient PM2.5 matter in spatial buffers around each school. It was authored by Suvrorup Mukherjee and hosted on Harvard Dataverse, with a last update recorded in June 2026.
Survey data from 409 twelfth-grade students across low, medium, and high study levels, measuring executive functions and math self-efficacy to predict mathematics achievement. The data was collected by author Yechiel Tanami and published on figshare in April 2026. It supports path analysis and structural equation modeling to examine relationships between cognitive skills, self-belief, and academic performance.
A 2026 study by Yechiel Tanami analyzes data from 409 twelfth-grade students across low, medium, and high academic study levels. It investigates how metacognitive and behavioral regulation executive functions predict mathematics achievement, with math self-efficacy examined as a mediating factor. Path analyses and Structural Equation Modeling were conducted separately for each student group.
409 twelfth-grade students across low, medium, and high study levels were assessed on executive functions and math self-efficacy. The dataset supports findings that predictive components of executive function differ by academic level, with behavioral regulation key for high-level students and metacognitive skills for low-level students. Author Yechiel Tanami published this analysis in April 2026.
538 Chinese university students participated in a cross-sectional survey examining AI adoption for learning support. The data analyzes relationships between AI responsiveness, anthropomorphism, perceived warmth, AI attachment, AI trust, and adoption behaviors. Yanling Lan authored this study, which was last updated in April 2026.