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Predictor variables and sedimentation rate samples used to predict sedimentation rates within the Baltic Sea from 1992 - 2017

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...

Predictor variables and sedimentation rate samples used to predict sedimentation rates within the Baltic Sea from 1992 - 2017

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 (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...

Predicted erosion hazards to electricity transmission towers in the Mersey River valley under hypothetical future flow scenarios, 2018-2050

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...

Predicting marine phytoplankton community size structure from empirical relationships with remotely sensed variables

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...

Predicting marine phytoplankton community size structure from empirical relationships with remotely sensed variables

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...

Dyke-induced fault and pit crater measurements and predicted dyke properties offshore NW Australia (NERC Grant NNE/R014086/1)

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...

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,...

MMO1044 predicted life stages and habitat distribution of fish species in the south marine plan area

This data represents the presence and absence of various life stages of fish species and the relative confidence of the probability based on the outputs of statistical modelling. Confidence is...

Dyke-induced fault measurements and predicted dyke properties offshore NW Australia (NERC Grant NE/R014086/1)

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...

Camden ' Key Facts'

Easy 1 page reference table for key facts about Camden

Model validation and finfish farms modelling output data in Kuwait Bay 2017-2019

This data refers to a numerical model validation, in Kuwait Bay, for both the hydrodynamics and the biogeochemistry. Also, there is a dataset regarding finfish farms modelling. Different types...

Model validation and finfish farms modelling output data in Kuwait Bay 2017-2019

This data refers to a numerical model validation, in Kuwait Bay, for both the hydrodynamics and the biogeochemistry. Also, there is a dataset regarding finfish farms modelling. Different types...

NATMAP2000

NATMAP 2000 is a series based, 2km2 grid vector spatial data set covering the whole of Wales and England. (relative % of soil series flattened in a table for easy database querying)

NATMAP1000

NATMAP 1000 is a series based, 1km2 grid vector spatial data set covering the whole of Wales and England. (relative % of soil series flattened in a table for easy database querying)

NATMAP1000

NATMAP 1000 is a series based, 1km2 grid vector spatial data set covering the whole of Wales and England. (relative % of soil series flattened in a table for easy database querying)

NATMAP5000

NATMAP 5000 is a series based, 5km2 grid vector spatial data set covering the whole of Wales and England. (relative % of soil series flattened in a table for easy database querying)

NATMAP 1K (version 3)

NATMAP v3 1K is a series based, 1km2 grid vector spatial data set covering the whole of Wales and England. (relative % of soil associations flattened in a table for easy database querying)