The dataset details global positioning system (GPS) locations recorded for instruments and locations of interest associated with equipment installed for the monitoring of wave energy, surface elevation changes and sedimentation at five UK saltmarsh sites. Two of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted of a salt marsh area and adjacent mudflat area. Rod Sedimentation-Erosion Tables (rSETs) were installed at different distances from the vegetated margin. Three rSETs were deployed for each Essex site and four for the Morecambe sites. rSET benchmarks were installed with associated marker horizons to evaluate surface elevation changes and surface accretion respectively. Shore-normal transects of pressure transducers (PTs) were installed to monitor wave energy transformation across the marsh and mudflat surfaces. The locations and elevations of the equipment is necessary to make use of the associated datasets "Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) wave monitoring over saltmarsh and mudflat habitats" and "Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) sedimentation and erosion monitoring over saltmarsh and mudflat habitats". This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme. Full details about this dataset can be found at https://doi.org/10.5285/adf702a1-d154-45b5-9c31-4f6acf5836f1

The data consist of woody biomass maps of three study areas - Mabalane, Gurue, and Maruppa in Mozambique. Each area map comprises three Geotiff layers stacked in the order band 1= 2007, band 2 = 2010, band 3 = 2014. Each pixel is an aboveground woody biomass in tonnes of carbon per hectare (ha). For the biomass maps -18.00000 means no data. Due to noise, it is possible to have negative biomass estimates. Individual layers can extracted for year specific analyses. Data were collected as part of the Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES) project under the ESPA programme Full details about this dataset can be found at https://doi.org/10.5285/6a8b07f9-552e-408c-8351-595ee6a7fc5f

The data consists of a matrix of twelve land cover classes by 20 stream sites with the area of each land cover class given in km^2. The areal coverage (km2) of each of twelve land cover classes was recorded for each of 20 chalkstream catchments in southern England. The 20 discrete chalkstream catchments are distributed along the white chalk geology extending from Dorset in the south west, through Wiltshire, to Hampshire in the north east, to cover a gradient of catchment land cover intensification from extensive calcareous grassland and woodland through to arable and improved grasslands. These data were acquired in July 2012. This dataset was created as part of work package 3.1 of the Wessex Biodiversity & Ecosystem Service Sustainability (BESS) project. Full details about this dataset can be found at https://doi.org/10.5285/b8a66584-da67-49e5-a0b0-d8e0b3e75b99

The data consists of annual measurements of standing aboveground plant biomass, annual aboveground net primary productivity and annual soil respiration between 1998 and 2012. Data were collected from seven European shrublands that were subject to the climate manipulations drought and warming. Sites were located in the United Kingdom (UK), the Netherlands (NL), Denmark ( two sites, DK-B and DK-M), Hungary (HU), Spain (SP) and Italy (IT). All field sites consisted of untreated control plots, plots where the plant canopy air is artificially warmed during night time hours, and plots where rainfall is excluded from the plots at least during the plants growing season. Standing aboveground plant biomass (grams biomass per square metre) was measured in two undisturbed areas within the plots using the pin-point method (UK, DK-M, DK-B), or along a transect (IT, SP, HU, NL). Aboveground net primary productivity was calculated from measurements of standing aboveground plant biomass estimates and litterfall measurements. Soil respiration was measured in pre-installed opaque soil collars bi-weekly, monthly, or in measurement campaigns (SP only). The datasets provided are the basis for the data analysis presented in Reinsch et al. (2017) Shrubland primary production and soil respiration diverge along European climate gradient. Scientific Reports 7:43952 https://doi.org/10.1038/srep43952 Full details about this dataset can be found at https://doi.org/10.5285/b902e25a-ffec-446f-a270-03cc2501fe1d

Pre-proposal for scientific drilling 'GlaciStore: Understanding Late Cenozoic glaciation and basin processes for the development of secure large-scale offshore CO2storage (North Sea)', submitted to Integrated Ocean Discovery Programme (IODP) March 2014. The proponent 'GlaciStore' consortium comprises research and industry organisations from the UK and Norway. The pre-proposal describes the scientific research objectives, 12 proposed drill sites to address the objectives, the relationship of the research with the IODP science plan, and describes and illustrates three scientific objectives. The objectives are to investigate the glacial history and sedimentary architecture, fluid flow and processes, and the stress history and geomechanical response in strata that have experienced multiple glacial and interglacial cycles cycles. A drilling and sampling strategy and the measurements expected to be taken are also described The lead submitter, on behalf to the GlaciStore consortium is Heather Stewart, British Geological Survey (BGS).The 27 proponents from the UK and Norway (BGS, Institute for Energy Technology, Lundin Norway AS, SINTEF Energy Research, Statoil ASA, University of Bergen, University of Edinburgh and University of Oslo) and their expertise are listed. The pre-proposal is a pdf format file. This is restricted to the proponents for publication and to progress to full proposal to IODP. UKCCSRC Grant UKCCSRC-C1-30.

Data identifies landscape areas (shown as polygons) attributed with type of artificial or man-made ground. It indicates areas where the ground surface has been significantly modified by human activity. The scale of the data is 1:10 000 scale. Onshore coverage is partial with approximately 30% of England, Scotland and Wales available in the version 2 data release. BGS intend to continue developing coverage at this scale; current focus is to include all large priority urban areas, along with road and rail transport corridors. Types of artificial ground include: Infilled ground areas where original geology has been removed and then wholly or partially back filled includes waste or landfill sites. Landscaped ground areas where surface has been reshaped includes former sand and gravel workings for recreation and amenity use. Made ground man made features including embankments and spoil heaps. Reclaimed ground are areas of land fill, where new ground is created, usually in coastal margins, may be for example a consequence of draining of submerged wetlands and beach rebuilding. Worked ground areas where ground has been removed including quarries and road cuttings. Disturbed ground areas of ill-defined shallow or near surface mineral workings where distinction cannot be made between made and worked ground. Whilst artificial ground may not be considered as part of the 'real geology' of bedrock and superficial deposits it does affect them. Artificial ground impacts on the near surface ground conditions which are important to human activities and economic development. Due to the constantly changing nature of land use and re-use/redevelopment caution must be exercised when using this data as it represents a snapshot in time rather than an evolving picture hence the data may become dated very rapidly. The data are available in vector format (containing the geometry of each feature linked to a database record describing their attributes) as ESRI shapefiles and are available under BGS data licence.

The data consist of species level descriptions of macroinvertebrate communities from the Conwy catchment in Wales, UK, sampled over three years between 2008 and 2010. The water bodies studied are tributary streams of the river Conwy, Wales, UK. Sampling took place in November of each year. Macroinvertebrates were sampled using a 1 mm kick net following the RIVPACS (River Invertebrate Prediction and Classification System) field protocol. Site variables (depth, width, velocity, substrate cover, macrophyte cover) were also recorded and are supplied as supporting information. Full details about this dataset can be found at https://doi.org/10.5285/fbbf2775-2f4d-478b-b59e-38aeaafaf67c

Future Flows Hydrology (FF-HydMod-PPE) is an 11-member ensemble projections of river flow and groundwater levels time series for 283 catchments and 24 boreholes in Great Britain. It is derived from Future Flows Climate, an 11-member 1-km bias-corrected and downscaled climate projection products based on the SRES A1B emission scenario. River Flows data are at a daily time step: Groundwater Levels data are at a monthly time step. Future Flows Hydrology span from 1951 to 2098. The development of Future Flows Hydrology was made during the partnership project 'Future Flows and Groundwater Levels' funded by the Environment Agency for England and Wales, Defra, UK Water Research Industry, NERC (Centre for Ecology & Hydrology and British Geological Survey) and Wallingford HydroSolutions. Full details about this dataset can be found at https://doi.org/10.5285/f3723162-4fed-4d9d-92c6-dd17412fa37b

This map is part of the open-loop ground source heat pump screening tool and shows where suitable subsurface conditions exist in England and Wales for open loop GSHP installations of >100kW heating/cooling output .

The Estimated Ambient Background Soil Chemistry England and Wales dataset indicates the estimated geometric mean topsoil Arsenic(As), Cadmium (Cd), Cr (Chromium), Nickel (Ni) and Lead (Pb) concentrations (mg kg-1). The soil chemistry data is based on GBASE (Geochemical Baseline Survey of the Environment) soil geochemical data where these are available. Elsewhere the stream sediment data are converted to surface soil equivalent potentially harmful element (PHE) concentrations. This dataset covers England and Wales but data is available for the whole of Great Britain, with the exception of the London area where an inadequate number of geochemical samples are available at the moment.