Results for "sports prediction"

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

Published by:: Marine Environmental Data & Information Network
Last updated:: 10 July 2024

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

Published by:: Marine Environmental Data & Information Network
Last updated:: 30 September 2025

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

Published by:: Centre for Environmental Data Analysis
Last updated:: 19 June 2018

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

Published by:: Centre for Environmental Data Analysis
Last updated:: 17 July 2017

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

Published by:: Centre for Environmental Data Analysis
Last updated:: 19 June 2018

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

Published by:: Centre for Environmental Data Analysis
Last updated:: 17 July 2017

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

Published by:: Environmental Information Data Centre
Last updated:: 11 March 2026

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

Published by:: Marine Environmental Data & Information Network
Last updated:: 10 July 2024

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

Published by:: Marine Environmental Data & Information Network
Last updated:: 01 December 2024

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)

Published by:: British Geological Survey (BGS)
Last updated:: 19 March 2026

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'

Published by:: British Geological Survey (BGS)
Last updated:: 26 March 2026

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'

Published by:: British Geological Survey (BGS)
Last updated:: 26 March 2026

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

Published by:: Marine Management Organisation
Last updated:: 14 September 2016

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)

Published by:: British Geological Survey (BGS)
Last updated:: 19 March 2026

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...

Spend over £500 in the Department for Culture, Media and Sport April 2010 to June 2011

Published by:: Department for Digital, Culture, Media and Sport
Last updated:: 27 November 2013

DCMS is fully committed to the Government's transparency agenda. In support of this we are publishing data on the central Department's expenditure with suppliers and grant recipients from 12 May to...