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- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 10 July 2024
Abundance and species composition were determined for phytoplankton in 361
water samples collected at 12 sites: five transects from 488N to 508S in the
Atlantic Ocean, the Benguela upwelling, the...
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 10 September 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:
- Environmental Information Data Centre
- Last updated:
- 29 June 2024
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:
- 06 October 2024
Grant: ACT ELEGANCY, Project No 271498. This repository includes CMG simulation input and output files, processed micro-CT data, and pore network modelling sensitivity examples. CMG simulation,...
- Published by:
- British Geological Survey (BGS)
- Last updated:
- 06 October 2024
Grant: ACT ELEGANCY, Project No 271498. This repository includes CMG simulation input and output files, processed micro-CT data, figure 3 data and plot, pore network modeling sensitivity examples
- 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:
- 12 September 2016
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 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:
- British Geological Survey (BGS)
- Last updated:
- 06 October 2024
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:
- Forestry Commission
- Last updated:
- 12 June 2024
The Wader Zonal Map – a.k.a. Wader Sensitivity Map (WSM) and Breeding Wader Sensitivity Map – was produced by the British Trust for Ornithology (BTO) in partnership with the Forestry Commission and...
- 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:
- 10 September 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:
- British Geological Survey (BGS)
- Last updated:
- 06 October 2024
Fault analyses used to estimate underlying dyke properties, imaged in 3D seismic reflection data. The seismic reflection data are located offshore NW Australia and image a series of Late Jurassic...
- Published by:
- Food Standards Agency
- Last updated:
- 17 February 2022
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:
- 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:
- 19 December 2016
"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:
- Environmental Information Data Centre
- Last updated:
- 29 June 2024
This dataset contains information about predicted future erosion hazards to electricity transmission towers at a site in the Mersey River valley. River channel change and floodplain erosion rates...
- Published by:
- Forestry Commission
- Last updated:
- 12 June 2024
Several studies on growing eucalyptus in Britain have been undertaken over the last 25 years. All recognise the potential for establishing this species as a valuable forest crop while stressing...
- Availability:
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Not released
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 31 December 2021
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...
- Availability:
-
Not released
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 31 December 2021
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...