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- Published by:
- Department for Business, Energy and Industrial Strategy
- Last updated:
- 30 August 2013
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- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 16 June 2025
Survey data were acquired for four sea caves within the Fair Isle MPA for the purposes of condition monitoring. The information included physical data on the location and spatial configuration of...
- 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:
- Greater London Authority
- Last updated:
- 06 January 2026
This report builds on previous work, the headline findings from The Survey of Londoners 2018-19, with new evidence from in-depth research to understand the drivers of three important social...
- 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:
- 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
The purpose of this benthic survey around Fair Isle was to improve knowledge of the occurrence and distribution of species and habitats of recognised conservation importance, particularly priority...
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 09 June 2025
The purpose of this benthic survey around Fair Isle was to improve knowledge of the occurrence and distribution of species and habitats of recognised conservation importance, particularly priority...
- Published by:
- Environmental Information Data Centre
- Last updated:
- 19 November 2025
This dataset presents predicted soil erosion rates (t ha-1 yr-1) and its impact on topsoils, including lifespans (yr) assuming erosion rates remain constant and there is no replacement of soil;...
- Published by:
- British Geological Survey (BGS)
- Last updated:
- 31 December 2025
Samples and associated geological data are held at the British Geological Survey for Maritime Coastguard Agency (MCA), Civil Hydrography Programme (CHP), Bathymetric Survey HI1072; Solan Bank to...
- Published by:
- Environmental Information Data Centre
- Last updated:
- 19 November 2025
A spatial approach was developed to interpret qualitatively expressed scenarios, and predict the probability and amount of change for 10 land-cover types across 127 sub-catchments in upland Wales....
- 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:
- 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:
- British Geological Survey (BGS)
- Last updated:
- 31 December 2025
The raster provide the output of a machine-learning random forest algorithm modelling the occurrence of ferromanganese (Fe-Mn) crust deposits in the world ocean. This raster constitutes a...
- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 19 June 2018
"Improving our ability to predict rapid changes in the El Nino Southern Oscillation climatic phenomenon" project, which was a Natural Environment Research Council (NERC) RAPID Climate Change...
- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 17 July 2017
"Improving our ability to predict rapid changes in the El Nino Southern Oscillation climatic phenomenon" project, which was a Natural Environment Research Council (NERC) RAPID Climate Change...
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 10 September 2024
In December 2020, a recent focus on the marine environment (Marine special protection areas selection process) included the classification of 12 marine special protection areas (SPAs) in Scotland...
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 20 July 2024
In December 2020, a recent focus on the marine environment (Marine special protection areas selection process) included the classification of 12 marine special protection areas (SPAs) in Scotland...