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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
15,235 datasets
Leeds schools' key contact information, compiled by the Government Digital Service. The dataset is available in EXCEL XLS and CSV formats under the Open Government Licence. It was last updated on 2019-04-01 and is no longer being maintained.
A 2019 noise map from the Bureau de Recherches Géologiques et Minières identifies areas where residential, educational, and health buildings exceed Lden noise limit values. It is based on the European Directive 2002/49/EC and uses digital models incorporating traffic, topology, and meteorological data. The map cross-references noise calculations with demographic data to estimate population exposure.
A June 2015 snapshot of the regional network for education to taste in Languedoc-Roussillon, France. The data provides the locations of 11 regional associations that promote sensory education, supported by the DRAAF LR and the Rectorate of the Montpellier Academy. These associations work with young audiences and the general public on sensory education, cultural heritage mediation, and culinary art.
Barnet Joint Strategic Needs Assessment (JSNA) is an evidence base for understanding population-level health and wellbeing needs in the London Borough of Barnet. The dataset is maintained by the Government Digital Service and was last updated on April 23, 2019. It is designed to inform decision-making by the Barnet Health and Wellbeing Board, Clinical Commissioning Group, and other public and voluntary sector service providers.
The Directory of educational institutions subordinated to the Department of Education Zhmerynskyi District State Administration is a list of schools and other educational facilities in Zhmeryn district. It was published by the States site of Ukraine on the eu_open_data platform. The dataset was last updated on May 13, 2019.
Mid-Atlantic Bight data contains physical oceanographic profiles collected by a Rutgers University glider from February 27 to March 13, 2019. The dataset includes measurements of temperature, salinity, conductivity, density, chlorophyll fluorescence, optical backscatter, and dissolved oxygen. It was preserved by NOAA's National Centers for Environmental Information after processing by the IOOS National Glider Data Assembly Center.
A 2019 dataset from the Bureau de Recherches Géologiques et Minières (BRGM) describing the service or body responsible for implementing and managing utility easements (SUP) in the Indre department of France. The data likely contains information on the managing agency, its role, and the evolution of management over time, such as the transfer from GDF to Gas TSO for the I3 easement. The dataset was last updated on April 4, 2019.
Facial images and landmark coordinate annotations for MobileNet V1-based detection models. These assets provide spatial feature points to support the development of lightweight deep neural network architectures for mobile inference.
A dataset last updated on March 28, 2019, listing services or bodies responsible for implementing and ensuring compliance with public utility easements (SUP) in the Loir-et-Cher department of France. It was published by the Bureau de Recherches Géologiques et Minières (BRGM) on the EU Open Data platform. The data likely identifies the managing entities for various utility easements, such as those for gas distribution.
A dataset of driving licence examination centre locations and facilities, likely sourced from European Union member states. The data was published by the Bureau de Recherches Géologiques et Minières (BRGM) and was last updated on the platform in March 2019. The description indicates centres may include administrative offices, theory exam rooms, and practical test tracks for motorcycles and heavy trucks.
PPR Pardies-Piétat (64DDTM20010003) is a dataset describing the real-world entities that are the origin of natural hazard risks. The data was published by the Bureau de Recherches Géologiques et Minières (BRGM) and was last updated on March 26, 2019. It covers the commune of Pardies-Piétat (64444) in the Pyrénées-Atlantiques department of France.
Linear entity at the origin of the risk of a PPRN (Huisne PPRI) in the department of Orne is a dataset from the French Bureau de Recherches Géologiques et Minières (BRGM). It characterizes real-world entities, such as rivers or unstable geological areas, whose presence represents a potential flood risk used to define risk-exposed areas for the Risk Prevention Plan (PPR). The dataset was last updated on April 5, 2019.
A dataset from the French Geological Survey (BRGM) cataloging real-world entities that pose natural hazard risks. It includes named entities and their geographic locations, such as rivers or unstable geological areas, used to define risk-exposed zones for Natural Hazard Prevention Plans (PPR). The data was last updated in April 2019.
A 2019 dataset from the French Geological Survey (BRGM) characterizes surface-based entities responsible for flood risk in the Huisne river area of Eure-et-Loir, France. It likely contains geographic objects and names for real-world entities like rivers or unstable areas that represent a potential hazard. This data underpins the definition of risk-exposed areas for the PPRN (Flood Risk Prevention Plan).
France road noise exceedance data transmitted by SEEF in 2011. The dataset identifies areas where noise limit values are exceeded at night (22h-6h) for residential, educational, and health buildings. It was produced by the Bureau de Recherches Géologiques et Minières for dynamic noise maps.
A dataset from the Bureau de Recherches Géologiques et Minières (BRGM) identifies forest clear-cuts by detecting land cover changes between two dates. It uses satellite imagery and vegetation indices to qualify changes, specifically targeting forest plots transitioning from a wooded to a bare ground state. The dataset was last updated on March 28, 2019.
Linear entities representing the real-world origin of risks, such as rivers or unstable geological areas, for the Mazingarbe PPRN (Plan de Prévention des Risques Naturels). The dataset was published by the French Geological Survey (BRGM) and last updated in April 2019. It is used to define risk-exposed areas that underpin the regulatory risk prevention plan.
The Dataset Direct Download Service (WFS): Linear entity at the origin of the risk of the Canche PPRN characterizes real-world entities representing potential hazards for flood risk planning. The dataset is provided by the Bureau de Recherches Géologiques et Minières (BRGM) and was last updated on April 1, 2019. It likely contains geographic objects locating entities like rivers or unstable areas that define risk-exposed zones.
A 2019 dataset from the Bureau de Recherches Géologiques et Minières (BRGM) characterizing real-world entities that represent potential risks to the Loison-sub-Lens Nuclear Power Plant (NPP). It likely contains named origins of risk, such as rivers or geologically unstable areas, which are used to define risk-exposed areas and risk pools for the Regional Prevention Plan (RPP).
Reports on passports of budget programs and efficiency assessment for 2018, published by the States site of Ukraine. The dataset was last updated on the platform in March 2019. The data is provided in ODT and XML.ZIP file formats.