Directory

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;...

For the Bislak River, the Philippines, this dataset contains: (i) topography and orthoimagery in 2019 and 2020; (ii) Digital Elevation Models (DEMs) of Difference; (iii) predicted depth, velocity...

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...

This dataset contains predicted seahorse habitat distributions for two species (*Hippocampus hippocampus *and *H. guttulatus*) and the genus combined (Hippocampus hippocampus MAXENT.asc,...

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...

Maps of spatially interpolated predictions and stochastic simulations of soil loss on ignition (%) for south west England (Devon and Cornwall) References Kirkwood, C, Cave, M, Beamish, D, Grebby,...

"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...

"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...

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...

Map of predicted peat depth across Gleann a’ Chlachainn catchment in western Scotland based on linear mixed model of peat depth measurements described in Finlayson et al., 2021. References...

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...

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...

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...

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...

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...

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...

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...

There are two components to this dataset: (1) fault analyses used to estimate underlying dyke properties, imaged in 3D seismic reflection data; and (2) dimension measurements and calculations of...

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,...

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