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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
15,003 datasets
Modelled fluvial flood depth data was created in 2004 for two flood probability scenarios: a 0.1% and a 1% annual chance of flooding. The data was produced using the JFlow two-dimensional hydrodynamic model on a 5x5 meter grid as part of a project to fill gaps in detailed local modelling for spatial planning flood zones. This generalised dataset covers the whole of England but is distributed in 100x100km tiles based on Ordnance Survey National Grid references, such as SO, SS, and SZ.
Modelled fluvial flood depth data was created in 2004 using the JFlow two-dimensional hydrodynamic model on a 5x5 meter grid. The dataset covers England and was produced for 0.1% and 1% annual chance flood scenarios to define Flood Zones for spatial planning. This generalised model is now superseded by more recent local detailed modelling in many areas and is not suitable for site-specific assessments.
Modelled fluvial flood depth data was created for the 1% annual chance flood event across England using the JFlow two-dimensional hydrodynamic model on a 5x5 meter grid. This dataset is a by-product of a 2004 generalised modelling project intended to fill gaps in detailed local data for spatial planning flood zone definitions. The data is available in 100x100km tiles, such as grid references SD and SJ, but has not been updated since its creation.
Two-dimensional hydrodynamic JFlow modelling produced 5x5 meter grid data for fluvial flood depths across England in 2004. The dataset covers two flood probabilities: a 0.1% and a 1% annual chance of flooding, created to fill gaps in detailed local data for spatial planning. This generalised model has not been updated since 2004 and is intended for broad-scale analysis, not site-specific assessments.
England's 2004 generalised fluvial flood depth data, produced on a 5x5m grid using the JFlow hydrodynamic model for 1% and 0.1% annual chance flood events. This dataset was created to fill gaps in detailed local modelling for spatial planning and defines Flood Zone extents. The data covers the entire country but is distributed in 100x100km tiles based on Ordnance Survey National Grid references.
Environment Agency's AfA238 Flood Zone Depth Grid Dataset provides modelled fluvial flood depth data for England, produced as a by-product of the 2004 generalised modelling project. The data, generated using the JFlow two-dimensional hydrodynamic model on a 5x5m grid, represents flood depths for both 1% and 0.1% annual chance flood events. Its primary purpose was to fill gaps in detailed local data to define Flood Zones for spatial planning, but it has not been updated since its creation.
2004 modelled fluvial flood depth data for a 1% annual chance flood event, covering the 100x100km Ordnance Survey National Grid reference NX in England. A two-dimensional hydrodynamic model (JFlow) was used to produce this data on a 5x5m grid as part of a project to fill gaps in detailed local flood modelling for spatial planning. This generalised dataset has not been updated since 2004, and more recent, accurate local modelling is recommended for site-specific assessments.
Environment Agency's AfA238 Flood Zone Depth Grid Dataset provides modelled fluvial flood depth data for a 0.1% annual chance flood event across England. The data was generated in 2004 using the JFlow two-dimensional hydrodynamic model on a 5x5 meter grid as part of a generalised modelling project to fill gaps in detailed local data for spatial planning. This specific dataset tile covers the 100x100km Ordnance Survey National Grid reference SD, and the agency warns it is not suitable for site-specific property-level assessments.
Modelled fluvial flood depth data for England was produced in 2004 using the JFlow hydrodynamic model on a 5x5 meter grid. This dataset represents a 0.1% annual chance flood event, created to fill gaps in detailed local data for spatial planning flood zone definitions. The data is distributed in 100x100km tiles based on Ordnance Survey National Grid references, such as NX and NU.
Ofqual collects and reports information on the total number of access arrangements in the GCSE and GCE summer examination series in England. The data covers arrangements for candidates with disabilities, temporary illnesses, or special educational needs. The source agency is the Office of Qualifications and Examinations Regulation.
An initial quantification of building debris from the June 2026 earthquake across the most-affected Venezuelan states estimates 96,046 damaged or destroyed buildings. The assessment was produced by the UNEP/OCHA Joint Environment Unit using multi-sensor synthetic aperture radar change-detection, rapid building damage assessments, and visual verification. Results were aggregated into a 7.8 sq. km hexagon grid for modeling and visualization.
Three GIS shapefiles summarise an intertidal benthic survey of Ugar, Campbell, and Nepean Islands in the Torres Strait from March 2022. The data includes seagrass presence, species composition, algae cover, and macro-invertebrate cover at 404 sites. The dataset was produced by the TropWATER Seagrass Group at James Cook University.
A Preliminary Privacy Impact Assessment (PPIA) was developed for the National Routing System (NRS) Pilot Initiative. The assessment, conducted by Global Affairs Canada, found minor privacy risks related to capturing, storing, and transmitting personal information for passport entitlement validation. The document is available in HTML format under the OGL-CA-2.0 license.
UK Environment Agency data summarizing the assessment of mitigation measures for artificial and heavily modified water bodies under the Water Framework Directive. The dataset classifies water bodies as having Good or Moderate Ecological Potential based on whether identified mitigation measures are in place. This dataset has been retired and superseded by a newer record.
FE Choices provides performance indicators for post-16 further education and training in the UK, published by the Skills Funding Agency. The data includes success rates, learner destinations, and satisfaction scores for learners and employers. The dataset was last updated on 2026-07-08 and is available in CSV, HTML, and ODS formats under the OGL-UK-3.0 license.
July 2021 data collection includes 2,980 15-second binaural audio recordings from urban public spaces in London, Venice, Granada, and Groningen. Andrew Mitchell at University College London created this dataset via a remote listening experiment hosted on Gorilla Experiment Builder, where 1,221 participants identified sound sources and rated annoyance. The resulting tabular frame contains 2890 recordings with consensus sound source labels and average annoyance ratings.
Global Affairs Canada's Privacy Impact Assessment (PIA) for the Mail Tracking System (MTS) deployed at Passport Canada in 2008. The document outlines the system's operational objective to track passport applications from receipt to processing and its role in generating statistical reports. It was published on the open_canada platform under the OGL-CA-2.0 license.
Experimental data from 5-6 replicate sediment cores per treatment, measuring dissolved oxygen fluxes in response to nutrient addition and low-nutrient water exchange. The study, part of NESP MaC 3.4 and conducted by Griffith University, expanded previous research to include estuaries in northern Australia such as Adelaide, Daly, Flinders, and Norman Rivers. Incubations were conducted over 2 days at 30ยฐC under ambient light, with oxygen measured using Presensยฎ fiber-optic sensors.
Absence rates for pupils in state-maintained secondary schools across England for the 2002 and 2004 academic years. The data originates from administrative records published by the Office for National Statistics via the Neighbourhood Statistics service. It is aggregated at the Lower Layer Super Output Area (LSOA) level, providing a detailed geographic breakdown.
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.