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- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 10 July 2024
Spatial predictions of substrate composition for the UK shelf and North Sea.
Compositional fractions of mud, sand and gravel were modelled for an area of
the UK and North Sea using a statistical...
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 21 September 2024
Spatial predictions of substrate composition for the UK shelf and North Sea.
Compositional fractions of mud, sand and gravel were modelled for an area of
the UK and North Sea using a statistical...
- Published by:
- Cambridgeshire Insight
- Last updated:
- 02 April 2025
This dataset contains both the national prediction score for the prevalence of Loneliness across all LSOA's in England and Wales and also has this broken down to just Cambridgeshire and...
- Published by:
- Environmental Information Data Centre
- Last updated:
- 26 November 2025
Prediction of Caesium-137 (Cs-137) deposition from atmospheric nuclear weapons tests. The methodology uses a ratio of Cs-137 deposition and precipitation measured at Milford Haven by the Atomic...
- Published by:
- City of York Council
- Last updated:
- 08 July 2025
Total population aged 65 and over predicted to have dementia
- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 19 June 2018
The Antarctic Mesoscale Prediction System (AMPS) is an experimental, real-time numerical weather prediction capability that provides support for the United States Antarctic Program, Antarctic...
- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 17 July 2017
The Antarctic Mesoscale Prediction System (AMPS) is an experimental, real-time numerical weather prediction capability that provides support for the United States Antarctic Program, Antarctic...
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 10 September 2024
Spatial predictions of the fractions of mud, sand and gravel as continuous
response variables for the north-west European continental shelf. Mud, sand
and gravel fractions range from 0-1 (i.e....
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 10 July 2024
Spatial predictions of the fractions of mud, sand and gravel as continuous
response variables for the north-west European continental shelf. Mud, sand
and gravel fractions range from 0-1 (i.e....
- Published by:
- Higher Education Statistics Agency
- Last updated:
- 11 June 2019
This Statistical First Release (SFR) has been produced by the Higher Education Statistics Agency (HESA), in collaboration with Department for Education and Skills (DfES) statisticians. It provides...
- Published by:
- Higher Education Statistics Agency
- Last updated:
- 11 June 2019
This Statistical First Release (SFR) has been produced by the Higher Education Statistics Agency (HESA) in collaboration with Department for Education and Employment (DfEE) statisticians. It...
- Published by:
- Higher Education Statistics Agency
- Last updated:
- 11 June 2019
This Statistical First Release (SFR) has been produced by the Higher Education Statistics Agency (HESA), in collaboration with Department for Education and Employment (DfEE) statisticians. It...
- Published by:
- Scottish Government SpatialData.gov.scot
- Last updated:
- 19 June 2024
These layers are the outputs of research which developed a national river temperature model for Scotland capable of predicting both daily maximum river temperature and sensitivity to climate...
- Published by:
- Higher Education Statistics Agency
- Last updated:
- 11 June 2019
This Statistical First Release (SFR) provides details of the destinations of leavers from higher education for the academic year 2015/16.
- Published by:
- Plymouth City Council
- Last updated:
- 13 December 2018
Data showing qualification details and employment status of full-time students in Plymouth.
- Published by:
- Skills Funding Agency
- Last updated:
- 12 December 2013
The contract values awarded by the Agency to providers and employers for delivery of skills training
- Published by:
- City of York Council
- Last updated:
- 19 August 2021
% of Year 12-14 (Academic age 16-18) young people who are not in education, employment or training (NEET) - (Snapshot)
*This indicator has been discontinued and replaced by [% of Year 12-13...
- Published by:
- Joint Nature Conservation Committee
- Last updated:
- 01 July 2019
Prediction of the presence of rock at outcrop or subcrop at the seabed across the UK shelf area. This shapefile was produced through a semi-automated approach, using a Random Forest model combined...
- Published by:
- City of York Council
- Last updated:
- 08 July 2025
% of Year 12-13 (academic age 16-17) young people who are not in education, employment or training (NEET) - (Snapshot)
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 10 July 2024
Spatial prediction of the sediment accumulation rate, provided as a .geotif
file (as an average linear rate in cm yr-1 since 1986) for the Baltic Sea
created using a machine learning approach....