Filter by
Remove filters
1,001
results found
- Published by:
- North Sea Transition Authority
- Last updated:
- 13 June 2025
Carbon capture and storage (CCS) refers to a number of techniques and processes which capture carbon dioxide emissions, generally from industrial processes. The carbon dioxide (CO2) can then...
- Published by:
- North Sea Transition Authority
- Last updated:
- 15 June 2025
Carbon capture and storage (CCS) refers to a number of techniques and processes which capture carbon dioxide emissions, generally from industrial processes. The carbon dioxide (CO2) can then...
- 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:
- 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:
- 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:
- British Geological Survey (BGS)
- Last updated:
- 07 January 2026
Os isotopes, highly siderophile element abundance measurements, lithophile trace element data, major element data, electron microprobe and LA-ICP-MS mineral chemistry of Cr-spinel and sulphide -...
- 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:
- Environmental Information Data Centre
- Last updated:
- 19 November 2025
Data from whole transcriptome sequencing of the four European pine species - Pinus sylvestris (Scots pine), P. mugo (Dwarf mountain pine), P. uliginosa (Mountain pine) and P. uncinata (Peat-bog...
- Published by:
- British Geological Survey (BGS)
- Last updated:
- 07 January 2026
Matlab m-file code to generate a probabilistic model of aquifer-body occurrence in the subsurface of the Indo-Gangetic foreland basin, northwestern India. The accompanying ArcGIS ASCII matrix files...
- 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:
- British Geological Survey (BGS)
- Last updated:
- 31 December 2025
This project is designed to integrate geological structural characterisation of fault zones with numerical modelling of flow behaviour at different scales. We will develop a 3D flow simulator which...
- Published by:
- British Geological Survey (BGS)
- Last updated:
- 07 January 2026
EPSRC grant EP/L012227/1: Development of Unified Experimental and Theoretical Approach to Predict Reactive Transport in Subsurface Porous Media. The effect of pore-scale heterogeneity on non-Darcy...
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 10 July 2024
Input data used to predict sedimentation rate for the Baltic Sea. Observation
data includes: Sedimentation rate data derived from isotope 137Cs tracers and
pseudo-samples of zero sedimentation...
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 30 September 2025
Input data used to predict sedimentation rate for the Baltic Sea. Observation
data includes: Sedimentation rate data derived from isotope 137Cs tracers and
pseudo-samples of zero sedimentation...