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RAPID-WATCH VALOR: NEMO, FOAM AND ECMWF Model output

RAPID-WATCH VALOR project investigated how the inclusion of RAPID-WATCH observations into the 'initial conditions', used to start climate model simulations, can refine predictions of the future...

RAPID-WATCH VALOR: NEMO, FOAM AND ECMWF Model output

RAPID-WATCH VALOR project investigated how the inclusion of RAPID-WATCH observations into the 'initial conditions', used to start climate model simulations, can refine predictions of the future...

Predicted sedimentation rates data for the Baltic Sea derived from samples from 1992 - 2019

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....

Predicted sedimentation rates data for the Baltic Sea derived from samples from 1992 - 2019

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....

Quantitative sediment composition predictions for the north-west European continental shelf

Spatial predictions of the fractions of mud, sand and gravel as continuous response variables for the north-west European continental shelf. Mud, sand and gravel fractions range from 0-1 (i.e....

Quantitative sediment composition predictions for the north-west European continental shelf

Spatial predictions of the fractions of mud, sand and gravel as continuous response variables for the north-west European continental shelf. Mud, sand and gravel fractions range from 0-1 (i.e....

Component model iterations for inputs into a multi-scale model describing the effect of host conditions on Hendra virus shedding, eastern Australia, 2008-2019

The data provided here are model iteration objects and rasters needed to run the multi-scale modelling process and predict how the host condition affects probability of Hendra virus shedding. The...

Natural bed disturbance modelling outputs

This dataset consists of output from a computer model that attempts to predict annual seabed disturbance caused by waves and currents. Disturbance was taken to mean physical movement of the...

Natural bed disturbance modelling outputs

This dataset consists of output from a computer model that attempts to predict annual seabed disturbance caused by waves and currents. Disturbance was taken to mean physical movement of the...

Species Distribution - A verified distribution model for the lesser sandeel (Ammodytes marinus)

The lesser sandeel Ammodytes marinus is a key component of the North East Atlantic ecosystem but little is known about its distribution outside of fished areas. In this study, species distribution...

Thermal Inactivation Model for Hepatitis E Virus

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...

MMO1044 spatial confidence in the essential fish habitat modelled outputs

This data shows the relative confidence on the EFH model prediction calculated by combining information on the statistical model predictive ability, confidence assigned to the input data layers...

Seahorse species predicted habitat distributions and associated environmental data layers covering the shelf seas surrounding the UK

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

Köppen-Geiger climate classification prediction maps for the UK at 1 km resolution, 1901–2080

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...

Species richness and recording priority derived from species distribution models for Lepidoptera in Great Britain

This dataset includes a set of modelled outputs produced as part of the DECIDE project. Three groups were modelled; butterflies, day-flying moths and night-flying moths. (For the moths, we only...

Modelling Porosity Development and Flow in Heterogeneous Media

The aim of the proposed project is to study evolution in the spatial characteristic of coupled flow and porosity development in heterogeneous porous media. We will develop a modelling engine and...

Modelled distribution data layers for three sea pen species on the UK shelf

Random forest modelled distribution layers for three sea pen species ( *Virgularia mirabilis, Pennatula phosphorea and Funiculina quadrangularis*) on the UK shelf. The raster layers provided here...

Localized Flow in Fractured Rock Masses: Mechanisms, Modelling and Characterization

Coupled (mechanical-hydraulic) numerical models based on the distinct element method will be used to investigate the behaviour of fluid flow in fractured rock-masses under stress. Flow localization...

3D GIA model output (King et al. 2016) (NERC grant NE/K009958/1)

Numerical model predictions of present-day horizontal deformation due to ongoing glacial isostatic adjustment processes at GPS sites across Antarctica. Model accounts for 3D spatial variations in...

Modelled and projected daily channel discharge, depth and water chemistry characteristics for 24 Mekong River basin subcatchments using the Integrated Catchment (INCA) model

Water quality modelled outputs for daily channel discharge and depth, nitrate-N, ammonium-N, suspended sediment concentration, total phosphorus, and soluble reactive phosphorus for the Mekong River...