Directory

The Lost Historic Woodlands 1891-1914 (AI predicted) dataset for England shows land where woodland was mapped between approximately 1891 and 1914 but is no longer present. The dataset has been...

This dataset contains bulk rock geochemical analyses of rock and soil samples from the Miaoya carbonatite-syenite complex in China, generated as part of the SCREED: Supergene enrichment of...

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 -...

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...

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....

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....

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;...

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...

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...

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...

PROJECT DETAILS ONLY - NO DATA. This project is designed to integrate geological structural characterisation of fault zones with numerical modelling of flow behaviour at different scales. We will...

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...

The dataset contains 3D wide-angle seismic data from 18 ocean bottom nodes (OBXs) collected during RRS James Cook cruise JC254 in November 2023. The data were acquired at the 1330 Oceanic Core...

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...