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- 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:
- 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:
- Marine Environmental Data & Information Network
- Last updated:
- 14 April 2025
The dataset contains outputs from Aim 1 in Bluemel et al. 2024 - Biodiversity
patterns under a shifting baseline: important areas for sensitive fish species
and ecosystem functioning to assist...
- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 19 June 2018
The Quantifying Flood Risk of Extreme Events using Density Forecasts Based on a New Digital Archive and Weather Ensemble Predictions Project is a Natural Environment Research Council (NERC) Flood...
- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 17 July 2017
The Quantifying Flood Risk of Extreme Events using Density Forecasts Based on a New Digital Archive and Weather Ensemble Predictions Project is a Natural Environment Research Council (NERC) Flood...
- Published by:
- British Geological Survey (BGS)
- Last updated:
- 17 December 2025
The data include the following: 1. Simulation input files (parameters used in free energy Lattice Boltzmann simulations). 2. Results from these simulations and the corresponding analysis, as...
- 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:
- Centre for Environmental Data Analysis
- Last updated:
- 19 June 2018
PalaeoQUMP was headed by Prof Sandy Harrison of the University of Bristol, with co-investigators at the University of Southampton and Durham University, as part of QUEST (Quantifying and...
- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 17 July 2017
PalaeoQUMP was headed by Prof Sandy Harrison of the University of Bristol, with co-investigators at the University of Southampton and Durham University, as part of QUEST (Quantifying and...
- 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....
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 30 September 2025
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....
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 20 July 2024
Dataset associated with the published article: Chrismas Nathan, Allen Ro, Allen Michael J., Bird Kimberley and Cunliffe Michael 2023. A 17-year time-series of fungal environmental DNA from a...
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 05 December 2024
Dataset associated with the published article: Chrismas Nathan, Allen Ro, Allen Michael J., Bird Kimberley and Cunliffe Michael 2023. A 17-year time-series of fungal environmental DNA from a...