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Modelled fluvial flood depth and climate change depth difference data created 2004: 0.1 percent annual chance for grid reference NT

The depth difference dataset (2004) is a depth grid showing the difference between modelled fluvial flood depths and modelled fluvial flood depths under climate change conditions (an increase in...

Modelled fluvial flood depth and climate change depth difference data created 2004: 0.1 percent annual chance for grid reference TV

The depth difference dataset (2004) is a depth grid showing the difference between modelled fluvial flood depths and modelled fluvial flood depths under climate change conditions (an increase in...

Modelled fluvial flood depth and climate change depth difference data created 2004: 0.1 percent annual chance for grid reference NU

The depth difference dataset (2004) is a depth grid showing the difference between modelled fluvial flood depths and modelled fluvial flood depths under climate change conditions (an increase in...

Modelled fluvial flood depth and climate change depth difference data created 2004: 0.1 percent annual chance for grid reference TQ

The depth difference dataset (2004) is a depth grid showing the difference between modelled fluvial flood depths and modelled fluvial flood depths under climate change conditions (an increase in...

Modelled fluvial flood depth and climate change depth difference data created 2004: 0.1 percent annual chance for grid reference SD

The depth difference dataset (2004) is a depth grid showing the difference between modelled fluvial flood depths and modelled fluvial flood depths under climate change conditions (an increase in...

Herbivory occurrence and intensity of Clidemia hirta and native Melastoma plants in oil palm-dominated landscapes containing embedded rainforest remnants, Sabah, Malaysian Borneo, 2019

This dataset contains measurements of herbivory occurrence and herbivory intensity within 21 oil palm dominated sites in Sabah, Malaysian Borneo. Within each site, herbivory measurements were...

CMIP5 GCM-based monthly patterns of local meteorological change, per degree of mean land warming, for driving the IMOGEN impacts model

This dataset consists of monthly spatial patterns of meteorological change for 34 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change...

Datasets produced by Multiscale Impacts of Cyanobacterial Crusts on Landscape Stability (2/2) (NERC grant NE/K011464/1)

Data from laboratory experiments conducted as part of project NE/K011464/1 (associated with NE/K011626/1) Multiscale Impacts of Cyanobacterial Crusts on Landscape stability. Soils were collected...

Modelled Miscanthus yield and soil carbon change data for the tropics (2040-2049) and Europe (2090-2099)

This dataset contains potential yields of Miscanthus and changes to soil carbon storage resulting from Miscanthus cultivation. The purpose of this study was to evaluate and compare diverse...

Submerged Palaeo-Arun and Solent Rivers: Reconstruction of Prehistoric Landscapes

The Submerged Palaeo-Arun and Solent Rivers project was undertaken by the Seafloor Imaging and Processes group at the Department of Earth Science and Engineering, Imperial College London and funded...

Submerged Palaeo-Arun and Solent Rivers: Reconstruction of Prehistoric Landscapes

The Submerged Palaeo-Arun and Solent Rivers project was undertaken by the Seafloor Imaging and Processes group at the Department of Earth Science and Engineering, Imperial College London and funded...

TSP 1: UK Regular Forces Strengths and Changes

Strengths of, and intake and outflow to/ from, the UK regular forces, including breakdowns by gender. Please note that this publication is no longer published, following consultation. Details can...

Saltmarsh surface elevation change data, UK, 2023-2024

Presented here are compiled data of sediment accretion across UK saltmarshes. All data have been collected using globally standardised methods of monitoring sediment accretion using the rod...

Climate change projections and drought assessments for the Mun River basin, northeast Thailand 2021-2050

This dataset provides the projections of meteorological, hydrological, and agricultural droughts for the near-future period (2021-2050) for the Mun River basin, in Northeast Thailand. Near future...

Topography, orthoimagery, topographic change, predicted hydraulic flow, and bedload transport rates of the Bislak River, the Philippines

For the Bislak River, the Philippines, this dataset contains: (i) topography and orthoimagery in 2019 and 2020; (ii) Digital Elevation Models (DEMs) of Difference; (iii) predicted depth, velocity...

Countryside Survey mapped estimates of Broad Habitat area change in Great Britain between 1998 and 2007

This dataset consists of change data for areas of Broad Habitats across Great Britain between 1998 and 2007. The data are national estimates generated by analysing the sample data from up to 591...

Countryside Survey mapped estimates of Broad Habitat area change in Great Britain between 1990 and 2007

This dataset consists of change data for areas of Broad Habitats across Great Britain between 1990 and 2007. The data are national estimates generated by analysing the sample data from up to 591...

Countryside Survey mapped estimates of Broad Habitat area change in Great Britain between 1990 and 1998

This dataset consists of change data for areas of Broad Habitats across Great Britain between 1990 and 1998. The data are national estimates generated by analysing the sample data from up to 569...

Moment release and associated volume change from a collection of injection- and intrusion-induced seismicity cases (NERC Grant NE/R018006/1)

"This data was compiled for the paper "Self-similarity of seismic moment release to volume change scaling for volcanoes: a comparison with injection-induced seismicity", that has been accepted for...

EV Charging Points In Chelmsford

This displays the EV Charging Points in an ever growing Chelmsford. This is so our eco-friendly citizens can learn where they can charge their EV's.