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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
15,092 datasets
Multiple GIS layers from the UK Environment Agency's Risk of Flooding from Surface Water (RoFSW) mapping show flood hazard ratings for three different annual exceedance probabilities: 0.1%, 1%, and 3.3%. The hazard rating is a function of simultaneous water depth and velocity, grouped into four bands. This data is part of the superseded uFMfSW Complex Package and is intended for indicative, strategic planning rather than property-level assessment.
Environment Agency mapping shows the indicative extent of surface water flooding with a 3.3% annual probability. This dataset is part of the Risk of Flooding from Surface Water (RoFSW) mapping, previously known as the updated Flood Map for Surface Water. The record was retired and superseded by a newer version in 2026.
A GIS layer showing the extent of flooding from surface water with a 1% annual chance of occurrence. The dataset groups flood depth into six bands and is produced by the UK Environment Agency's Risk of Flooding from Surface Water mapping. It was last updated on 2026-07-06 and is not suitable for property-level assessment.
UK Environment Agency data showing the indicative geographic extent of surface water flooding with a 0.1% annual probability. This dataset is part of the Risk of Flooding from Surface Water (RoFSW) mapping, superseding the updated Flood Map for Surface Water (uFMfSW). The record has been retired and superseded by a newer version.
A GIS layer from the UK Environment Agency shows the dominant flow direction of surface water flooding at maximum speed for a flood with a 3.3% annual probability. The data is based on a 2-meter grid and groups flow into 8 compass directions. This dataset is part of the Risk of Flooding from Surface Water (RoFSW) mapping, previously known as the updated Flood Map for Surface Water.
A GIS layer showing the dominant flow direction of flooding from surface water, based on a 2-meter grid and grouped into eight compass directions. It models maximum speed flow resulting from a flood with a 1% annual chance, produced by the UK Environment Agency as part of the Risk of Flooding from Surface Water (RoFSW) mapping. The dataset was last updated on 2026-07-06.
Environment Agency mapping shows the dominant flow direction of surface water flooding with a 0.1% annual probability, based on a 2-meter grid. This dataset is part of the superseded Risk of Flooding from Surface Water (RoFSW) mapping, previously known as the uFMfSW Complex Package. The record has been retired and is not suitable for property-level assessment.
UK geospatial data showing the dominant flow direction of surface water flooding at maximum speed for a flood with a 3.3% annual chance. The dataset is part of the Risk of Flooding from Surface Water (RoFSW) mapping, previously known as the updated Flood Map for Surface Water. It was produced by the Environment Agency with contributions from other UK organizations and is based on data from 2015.
Environment Agency data shows the dominant flow direction of surface water flooding with a 1% annual chance. This GIS layer is resampled to a 25-meter grid and grouped into eight compass directions. The dataset is part of the superseded Risk of Flooding from Surface Water mapping and is not suitable for property-level assessment.
Environment Agency mapping shows the dominant flow direction of surface water flooding with a 0.1% annual probability, resampled to a 25-meter grid. This dataset is part of the superseded Risk of Flooding from Surface Water (RoFSW) mapping, previously known as the updated Flood Map for Surface Water. The record has been retired and is not suitable for property-level assessment.
Environment Agency data shows the maximum depth of flooding from surface water with a 3.3% annual probability. The GIS layer groups flood depth into 6 bands and is part of the Risk of Flooding from Surface Water (RoFSW) mapping. This record was retired and superseded by a newer version as of the last update in July 2026.
Environment Agency data provides a GIS layer showing the maximum depth of flooding from surface water for a flood with a 1% annual probability. The flood depth is grouped into six bands, but the record has been retired and superseded by a newer version. The dataset is not suitable for property-level assessment and is based on digital spatial data licensed from several UK organizations.
A GIS layer showing the maximum depth of flooding from surface water that could result from a flood with a 0.1% chance of happening in any given year, produced by the UK Environment Agency. The flood depth is grouped into 6 bands and is one output of the Risk of Flooding from Surface Water (RoFSW) mapping, previously known as the updated Flood Map for Surface Water. This record has been retired and superseded by a newer version.
Expert Judgement assessments were used to derive Water Framework Directive classifications for UK water bodies lacking monitoring data. The dataset is a subset of the 'WFD Classification Status Cycle 2' record and was created by the Environment Agency. The record was last updated on 2026-07-17.
Trade Union Facilities for non-schools staff in Manchester City Council. The dataset includes the total number of union representatives, those spending over 50% of their time on union duties, and spending as a percentage of the total pay bill for the 2013/14 financial year. Data is derived from council records on union representatives and assigned cost centre spending.
OpenStreetMap data for schools, kindergartens, colleges, and universities across Ukraine, tagged via `amenity` or `building` keys. The Humanitarian OpenStreetMap Team (HOT) provides this dataset, last updated on 2026-06-24. Coverage reflects volunteer mapper activity, with urban areas likely better represented than remote regions.
Education facilities in Yemen, including schools, kindergartens, colleges, and universities, tagged via OpenStreetMap's `amenity` or `building` keys. The data is provided by the Humanitarian OpenStreetMap Team (HOT) and was last updated on 2026-06-24. Coverage reflects where volunteer mappers have been active, with urban areas likely being better represented than remote ones.
Cameroon's education facilities, including schools, kindergartens, colleges, and universities, tagged via OpenStreetMap's `amenity` or `building` keys. The data is compiled by the Humanitarian OpenStreetMap Team (HOT) and was last updated on 2026-06-24. Coverage reflects volunteer mapper activity, with urban areas typically well-represented.
OpenStreetMap data on schools, kindergartens, colleges, and universities in the Central African Republic, tagged via `amenity` or `building`. The dataset was last updated on 2026-06-24 and is provided by the Humanitarian OpenStreetMap Team (HOT). Coverage reflects where volunteer mappers have been active, with urban areas typically well represented.
University of Michigan researcher Chengxin Zhang compiled this dataset of 15,176 SCOPe protein domains from the ASTRAL subset with less than 40% sequence identity. It includes FASTA sequences, full atomic and CA-only PDB coordinate files, and pre-calculated pairwise TM-scores for structural alignment. The data originates from version 2.08 of the SCOPe database.