This is a web map service (WMS) of Digital Surface Model (DSM) data in South West England at a 1m resolution. The DSM covers an area of 9424 km2 that includes all the land west of Exmouth (i.e. west of circa 3 degrees 21 minutes West). The DSM includes the height of features on the bare earth such as buildings or vegetation (if present). The dataset is a part of outcomes from the Centre for Ecology & Hydrology South West (SW) Project.

The map shows the potential for the rocks to supply groundwater and the type of groundwater flow within the rocks. The dataset reattributes polygons in the Digital Geological Map Data of Great Britain - 625k (DiGMapGB-625) Bedrock version 5 dataset to indicate whether the bedrock is an aquifer, the type of flow through the aquifer (fracture and fissure flow or intergranular flow) and how productive the aquifer is likely to be. The dataset is based on the known hydrogeological properties of rock types. The dataset covers just the bedrock formations for the UK and the Isle of Man. The data can be used for planning, environmental analysis, water supply and hazards.

QICS (Quantifying and monitoring environmental impacts of geological carbon storage) was a program funded by the Natural Environment Research Council (NERC), with support from the Scottish Government (May 2010 - December 2014) with two objectives. Firstly, to assess if any significant environmental impact would arise, if a leak from sub-sea, deep geological storage of carbon dioxide occurred. Secondly, to test and recommend tools and strategies for monitoring for (or assuring the absence of) leakage at the sea floor and in overlying waters. This data set provides a short overview of the novel experimental procedure - a world first leakage simulation in the natural environment and describes the experimental set up, sampling strategy including both temporal and spatial details. The data set consists of a pdf containing a text based project and experimental overview, a table outlining the temporal evolution of the experiment, including site selection, set up, baseline, impact and recovery phases and a diagram outlining the spatial sampling strategy. This data set contains an overview document collated by Plymouth Marine Laboratory. This provides the context for a number of specific related QICS datasets submitted to the UKCCS data archive, covering a range of geological, chemical and ecological information. QICS project website: www.bgs.ac.uk/qics/home.html. Blackford et al., 2014. Detection and impacts of leakage from sub-seafloor deep geological carbon dioxide storage. Nature Climate Change 4, 1011-1016. DOI: 10.1038/NCLIMATE2381. Taylor et al., 2015. A novel sub-seabed CO2 release experiment informing monitoring and impact assessment for geological carbon storage. Int J Greenhouse Gas Control. DOI:10.1016/j.ijggc.2014.09.007.

The Exploitation of new data sources, data assimilation and ensemble techniques for storm and flood forecasting Project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002137/1 - Duration January 2007 - April 2010) led by Prof AJ Illingworth, University of Reading. This project investigates possible methods of producing ensemble weather forecasts at high-resolution. These ensembles will be used with raingauge and river flow to improve methods of flood forecasting. The dataset includes radiosonde and wind profiles in England and Wales derived using Doppler radar returns from insects. The radial velocity measurements from insects were converted into VAD profiles by fitting a sinusoid to radial velocities at constant range. All measured profiles have been interpolated to the instrument location. This dataset contains wind profiler measurements.

COBRA (impact of COmbined iodine and Bromine Release on the Arctic atmosphere) is a UK IPY (International Polar Year) consortium that aims to investigate the release mechanisms of iodine in the Arctic and the potential combined effects of iodine and bromine on its atmosphere. The team measured reactive inorganic halogens (BrO, IO, OIO, I2), O3, Hg, HOx, HCHO, NOx, VOCs and reactive halocarbons from temporary laboratories located on the eastern shore of Hudson Bay, north of Kuujjuarapik, during February-March 2008. Met balloons and O3 sondes were launched daily. COBRA set up an ice camp and flux chamber experiments ~500 m into the bay to directly measure halogen emissions and ozone deposition, and measured physical, chemical and biological characteristics of the sea-ice (and potentially of frost flowers) at different depths. The project is linked with OOTI, which carried out a simultaneous field experiment at Kuujjuarapik.

This dataset contains Fire Radiative Power (FRP) data over Africa from Meteosat Second Generation (MSG) Spinning Enhanced Visible and InfraRed Imager (SEVIRI) data. Fires are detected by applying Roberts and Wooster's (2008) detection algorithm to SEVIRI data. FRP is estimated using the Middle InfraRed (MIR) radiance method (Wooster et al., 2003). The dataset was produced by Gareth Roberts and Martin Wooster (National Centre for Earth Observation (NCEO), Kings College London).

COBRA (impact of COmbined iodine and Bromine Release on the Arctic atmosphere) is a UK IPY (International Polar Year) consortium that aims to investigate the release mechanisms of iodine in the Arctic and the potential combined effects of iodine and bromine on its atmosphere. The team measured reactive inorganic halogens (BrO, IO, OIO, I2), O3, Hg, HOx, HCHO, NOx, VOCs and reactive halocarbons from temporary laboratories located on the eastern shore of Hudson Bay, north of Kuujjuarapik, during February-March 2008. Met balloons and O3 sondes were launched daily. COBRA set up an ice camp and flux chamber experiments ~500 m into the bay to directly measure halogen emissions and ozone deposition, and measured physical, chemical and biological characteristics of the sea-ice (and potentially of frost flowers) at different depths. The project is linked with OOTI, which carried out a simultaneous field experiment at Kuujjuarapik.

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 Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002013/1 - Duration January 2007 - December 2008) led by Dr Patrick McSharry, University of Oxford. The dataset contains a collection of rainfall depth maxima data, dating back to 1860, plus associated description documents and rainfall maps of extreme events across the UK, have been used. All of these products have been digitised from the paper version of the British Rainfall publication, and are now archived at the BADC to enable easy access for future use and the wider community.

This web map service (WMS) depicts estimates of mean values of soil bacteria, invertebrates, carbon, nutrients and pH within selected habitats and parent material characteristics across GB . Estimates were made using CS data using a mixed model approach. The estimated means of habitat/parent material combinations using 2007 data are modelled on dominant habitat and parent material characteristics derived from the Land Cover Map 2007 and Parent Material Model 2009, respectively. Bacteria data is representative of 0 - 15 cm soil depth and includes bacterial community structure as assessed by ordination scores. Invertebrate data is representative of 0 - 8 cm soil depth and includes Total catch, Mite:Springtail ratio, Number of broad taxa and Shannon diversity. Gravimetric moisture content (%) data is representative of 0 - 15 cm soil depth Carbon data is representative of 0-15 cm soil depth and includes Loss-on-ignition (%), Carbon concentration (g kg-1) and Carbon density (t ha-1). Loss-on-ignition was determined by combustion of 10g dry soil at 375 deg C for 16 hours; carbon concentration was estimated by multiplying LOI by a factor of 0.55, and carbon density was estimated by combining carbon concentration with bulk density estimates. Nutrient data is representative of 0 - 15 cm soil depth and includes total nitrogen (N) concentration (%), C:N ratio and Olsen-Phosphorus (mg/kg). pH and bulk density (g cm-3) data is representative of 0 - 15 cm soil depth. Topsoil pH was measured using 10g of field moist soil with 25ml de-ionised water giving a ratio of soil to water of 1:2.5 by weight; bulk density was estimated by making detailed weight measurements throughout the soil processing procedure. Areas, such as urban and littoral rock, are not sampled by CS and therefore have no associated data. Also, in some circumstances sample sizes for particular habitat/parent material combinations were insufficient to estimate mean values.

The objective of the ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project was quantifying the direct effect of aerosols on the Earth's radiation budget, via scattering and/or absorption of radiation. This daily data was a subset of the GlobAEROSOL climatology from the Advanced Along Track Scanning Radiometer (AATSR) instrument on-board Envisat, data for the period 24 July 2002 to 25 February 2009. This dataset contains measurements of the following parameters over the globe: Aerosol optical thickness taken at 550nm and 870nm, Angstrom Coefficient, Earth surface albedo taken at 550nm, 670nm, 870nm, and 1600nm. Upwelling spectral radiance in the air (measured reflectance) at 550nm, 670nm, 870nm, 1600nm, and 3700nm. Brightness temperature taken at 11000nm and 12000nm. Cloud area fraction Aerosol speciation (from a selection of 5 pre-defined types:maritime, continental, desert, urban/polluted and biomass burning).