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- 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:
- Environmental Information Data Centre
- Last updated:
- 19 November 2025
[This dataset is embargoed until February 2, 2026]. For the Bislak River, the Philippines, this dataset contains: (i) topography and orthoimagery in 2019 and 2020; (ii) Digital Elevation Models...
- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 17 July 2017
RAPID-WATCH VALOR project investigated how the inclusion of RAPID-WATCH observations into the 'initial conditions', used to start climate model simulations, can refine predictions of the future...
- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 19 June 2018
RAPID-WATCH VALOR project investigated how the inclusion of RAPID-WATCH observations into the 'initial conditions', used to start climate model simulations, can refine predictions of the future...
- 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:
- 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:
- Environmental Information Data Centre
- Last updated:
- 19 November 2025
The data provided here are model iteration objects and rasters needed to run the multi-scale modelling process and predict how the host condition affects probability of Hendra virus shedding. The...
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 10 September 2024
This dataset consists of output from a computer model that attempts to predict
annual seabed disturbance caused by waves and currents. Disturbance was taken
to mean physical movement of the...
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 10 July 2024
This dataset consists of output from a computer model that attempts to predict
annual seabed disturbance caused by waves and currents. Disturbance was taken
to mean physical movement of the...
- Published by:
- Scottish Government SpatialData.gov.scot
- Last updated:
- 19 June 2024
The lesser sandeel Ammodytes marinus is a key component of the North East Atlantic ecosystem but little is known about its distribution outside of fished areas. In this study, species distribution...
- Published by:
- Food Standards Agency
- Last updated:
- 17 October 2024
This model was generated as part of FSA-funded research project FS301062. The model includes a collection of thermal stability data on Hepatitis E virus (HEV) in the published literature and...
- Published by:
- Marine Management Organisation
- Last updated:
- 14 September 2016
This data shows the relative confidence on the EFH model prediction calculated by combining information on the statistical model predictive ability, confidence assigned to the input data layers...
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 10 September 2024
This dataset contains predicted seahorse habitat distributions for two species
(*Hippocampus hippocampus *and *H. guttulatus*) and the genus combined
(Hippocampus hippocampus MAXENT.asc,...
- Published by:
- Environmental Information Data Centre
- Last updated:
- 19 November 2025
The data deposited here underlie an assessment of the exposure of UK habitats to climate change, and a linked assessment of how well current UK plant monitoring schemes cover these exposure...
- Published by:
- Environmental Information Data Centre
- Last updated:
- 19 November 2025
This dataset includes a set of modelled outputs produced as part of the DECIDE project. Three groups were modelled; butterflies, day-flying moths and night-flying moths. (For the moths, we only...
- Published by:
- British Geological Survey (BGS)
- Last updated:
- 24 December 2025
The aim of the proposed project is to study evolution in the spatial characteristic of coupled flow and porosity development in heterogeneous porous media. We will develop a modelling engine and...
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 05 May 2025
Random forest modelled distribution layers for three sea pen species (
*Virgularia mirabilis, Pennatula phosphorea and Funiculina quadrangularis*)
on the UK shelf. The raster layers provided here...