Loading...
Loading...
Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
15,012 datasets
2007 data from the UK's Communities and Local Government department measuring the proportion of people under age 21 not entering Higher Education. The dataset is published by Neighbourhood Statistics and provides administrative data at the Lower Layer Super Output Area (LSOA) geography for England.
ID 2004 is an administrative dataset from the Office of the Deputy Prime Minister (ODPM) measuring the proportion of children aged 17+ not continuing in education in England. The data is published by Neighbourhood Statistics and provides coverage for Lower Layer Super Output Areas (LSOAs). It uses data from 2001 to represent the indicator for the year 2004.
2007 data from the UK's Communities and Local Government measures deprivation in education, skills and training at a local level. The dataset covers England using Lower Layer Super Output Area (LSOA) geographies and is derived from administrative sources from 2001 and 2005. It is published by Neighbourhood Statistics and made available by the Office for National Statistics.
2002 to 2003 administrative data on combined National Curriculum Assessment results for Key Stages 2, 3, and 4 in England. The dataset was published by Neighbourhood Statistics, sourced from the Office of the Deputy Prime Minister, and is aggregated at the Lower Layer Super Output Area (LSOA) geography.
2007 data from the UK's National Curriculum Assessments at Key Stages 2, 3, and 4. The dataset is published by Neighbourhood Statistics, sourced from Communities and Local Government (CLG), and aggregated at the Lower Layer Super Output Area (LSOA) level for England.
ID 2007 measures the proportion of children aged 17 and over not continuing in school or Further Education in England for 2007. The data originates from Communities and Local Government administrative sources and is published by Neighbourhood Statistics. It is georeferenced to Lower Layer Super Output Areas (LSOAs), providing a detailed neighbourhood-level view.
England's pupil absences in maintained schools for the 2007 academic year. Administrative data from the Communities and Local Government ID 2007 collection, published by Neighbourhood Statistics. The dataset is aggregated at the Lower Layer Super Output Area (LSOA) geography level.
Tampere University's TAU Moving Sound Events 2019 dataset provides simulated anechoic, first-order Ambisonic (FOA) recordings of 11 everyday sound classes moving in 2D spherical space. It consists of three sub-datasets with up to one, two, or three temporally overlapping events, each with structured training and test splits. Each recording includes metadata detailing the event's name, timing, spatial trajectory, angular velocity, and distance from the microphone.
151 survey sites document seagrass presence, species composition, and biomass for the intertidal meadows of Orman Reefs in the Torres Strait. The dataset, produced by TropWATER at James Cook University in September 2021, includes three GIS layers detailing site information, meadow boundaries, and biomass interpolation. It also records associated benthic macro-invertebrates, algae, substrate, and megafauna observations.
Venezuela's education facilities, including schools, kindergartens, colleges, and universities, are mapped via OpenStreetMap tags. The data is sourced from the collaborative OpenStreetMap project and exported by the Humanitarian OpenStreetMap Team (HOT). It was last updated on 2026-06-26 10:43:27.044602.
Six sites in Cleveland Bay recorded photosynthetically active radiation (PAR) every 15 minutes from March 2017 to October 2018, converted to daily light integrals (mol m-2 d-1). The dataset was collected by the TropWATER Seagrass Group at James Cook University as part of the NESP TWQ project 3.2.1 to link sediment loads to seagrass condition. Benthic light levels were measured using submersible Odyssey loggers with automatic wipers to prevent sensor fouling.
Attainment data for children in early years and primary education stages, including the Early Years Foundation Stage Profile, Year 1 Phonics, and Key Stages 1 and 2. The data is aggregated by school location ward and sourced from the National Consortium of Examination Results (NCER). The dataset is provided by Calderdale Metropolitan Borough Council and was last updated on 2026-07-08.
A Privacy Impact Assessment (PIA) document evaluates the personal information handling within the PeopleSoft HRMS Recruiting Module. The assessment was completed by the Department of Foreign Affairs and International Trade (DFAIT) in response to Treasury Board of Canada directives. It focuses exclusively on personal information collected, used, disclosed, and retained within the Recruiting Module, excluding other HR data.
European regional data shows the proportion of the population aged 30-34 with a tertiary education, averaged for the 2011-2013 period. The dataset is produced by the Directorate-General for Regional and Urban Policy and supports the Europe 2020 strategy, which targets a 40% share by 2020. The EU-27 share increased from 31% in 2008 to 36% in 2012.
January 2015 data from the UK school census on pupils with special educational needs (SEN). It includes pupil characteristics by level of SEN provision, such as education, health and care (EHC) plans or SEN support, and type of SEN. The data was collected by the Department for Education and published by the London Borough of Barnet.
Stance in Replies and Quotes (SRQ) is a human-labeled dataset for stance detection in Twitter conversations, created by Ramón Villa-Cox at Carnegie Mellon University. It contains over 5200 stance labels from responses to posts on controversial issues, focusing on both replies and quotes. The dataset's collection methodology was designed to favor the selection of denial-type responses.
PE-HRI-temporal is a multimodal temporal dataset from the JUSThink robot-mediated collaborative learning activity. It contains team-level behavioral time series and learning outcome data from 34 teams of two children aged 9-12. The dataset was created by Jauwairia Nasir at École Polytechnique Fédérale de Lausanne.
34 teams of two children, aged 9-12, participated in the JUSThink robot-mediated learning activity. The dataset contains team-level multi-modal behavioral data, including interaction logs, speech, affective states, and gaze patterns, designed for studying productive engagement. It is grounded in engagement literature from Human-Robot Interaction and Intelligent Tutoring Systems.
Galaxy Zoo DECaLS provides detailed visual morphology classifications for approximately 314,000 galaxies, combining citizen scientist volunteer labels with deep learning model predictions. The dataset includes multiple classification campaigns, with a later GZD-5 campaign using a modified schema to better detect galaxy mergers and weak bars. It contains both raw volunteer responses and automated posteriors modeled as Dirichlet distributions, offering a resource for studying galaxy evolution and benchmarking machine learning methods in astronomy.
OpenStreetMap data for schools, kindergartens, colleges, and universities across Chile, tagged via `amenity` or `building` keys. The dataset was exported by the Humanitarian OpenStreetMap Team (HOT) and last updated on 2026-06-28. Coverage reflects volunteer mapper activity, with urban areas typically better represented than remote regions.