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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...

Flood Risk for Extreme Events (FREE): Historical Rainfall Data and Maps from the Quantifying Flood Risk of Extreme Events using Density Forecasts Based on a New Digital Archive and Weather Ensemble Predictions Project

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...

Flood Risk for Extreme Events (FREE): Historical Rainfall Data and Maps from the Quantifying Flood Risk of Extreme Events using Density Forecasts Based on a New Digital Archive and Weather Ensemble Predictions Project

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...

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...

Local Profiles

Local Profiles aim to help local authorities use official statistics to better understand the economic, social and environmental picture for their area. They have been developed using data that...

Pension landscape and charging survey

Quantitative and qualitative research with employers and pension providers carried out in 2009 and 2011. Non-anonymised version of 2011 dataset held by DWP for analysis by pension analysts. The...

Attitudes To Pensions Survey

Quantitative survey of the GB population aged 18 and over, carried out every three years since 2006. Anonymised versions of the 2006 and 2009 dataset are available on the UK data archive and the...

Additional student support release

Due to high levels of public interest in the processing of Higher Education Student Support applications by Student Finance England, the Student Loan Company, in conjunction with BIS analysts,...

Involuntary part-time employment analysis for quarter four in 2008, 2013, 2014

An analysis of part-time workers who would like to be in full-time employment. Their part-time employment is involuntary based on views recorded in the Labour Force Survey. These individuals in...

UK Compiled Topsoil (UKTS) raster dataset

The UK Compiled Topsoil Dataset (UKTS) is the most extensive topsoil geochemistry dataset for the UK available at the time of release (August 2024). The dataset consists of 82 georeferenced TIFF...