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Antarctic Mesoscale Prediction System (AMPS): real-time numerical weather prediction model output at 4.5 and 6km resolution for the Antarctic

The Antarctic Mesoscale Prediction System (AMPS) is an experimental, real-time numerical weather prediction capability that provides support for the United States Antarctic Program, Antarctic...

Antarctic Mesoscale Prediction System (AMPS): real-time numerical weather prediction model output at 4.5 and 6km resolution for the Antarctic

The Antarctic Mesoscale Prediction System (AMPS) is an experimental, real-time numerical weather prediction capability that provides support for the United States Antarctic Program, Antarctic...

Tidal Predictions

Predicted high and low water times and heights for a port for the current day plus the following 6 days.

Predicted soil erosion rates, nutrient fluxes and topsoil lifespans, modelled for Kenya at a 30 metre resolution

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;...

Random Forest model output prediction raster for the occurrence of Fe-Mn in the World Oceans

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...

UK shelf and North Sea quantitative sediment composition predictions

Spatial predictions of substrate composition for the UK shelf and North Sea. Compositional fractions of mud, sand and gravel were modelled for an area of the UK and North Sea using a statistical...

UK shelf and North Sea quantitative sediment composition predictions

Spatial predictions of substrate composition for the UK shelf and North Sea. Compositional fractions of mud, sand and gravel were modelled for an area of the UK and North Sea using a statistical...

Predictive diagnostics for onions

Development of a predictive diagnostics package for soil borne pathogens of onions and leek crops

RAPID Improving our Ability to Predict Rapid Changes in the El Nino Southern Oscillation Climatic Phenomenon: HADCM3 model output

"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...

RAPID Improving our Ability to Predict Rapid Changes in the El Nino Southern Oscillation Climatic Phenomenon: HADCM3 model output

"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...

Predictive Seabed Sediments UK v1

The BGS Predictive Seabed Sediments UK v1 dataset includes digital maps of seabed sediment (SBS) composition across the UK Continental Shelf (UKCS). The dataset includes one classified SBS map...

2021 NatureScot predictive seaduck model within Special Protected Areas Moray Firth and Outer Firth of Forth and St Andrews Bay Complex

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...

2021 NatureScot predictive seaduck model within Special Protected Areas Moray Firth and Outer Firth of Forth and St Andrews Bay Complex

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...

PalaeoQUMP (Quantifying and Understanding the Earth System - Using Palaeodata to Quantify Uncertainties in Model Prediction): Global Charcoal Database

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 (Quantifying and Understanding the Earth System - Using Palaeodata to Quantify Uncertainties in Model Prediction): Global Charcoal Database

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...

Nuclear Accident Model - RIMNET

Plume prediction modelling for radiological emergencies

Prediction of outcrops or subcrops of rock in UK shelf seabed (public)

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...

Supplemental data for 'Pore network model predictions of Darcy-scale multiphase flow heterogeneity validated by experiments'

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

Supplemental data for 'Pore network model predictions of Darcy-scale multiphase flow heterogeneity validated by experiments'

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,...

Predictions of river temperature and sensitivity to climate change in Scotland

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...