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  • Organic carbon and nitrogen and bulk nitrogen isotope data and metal abundance data for siltstones and shales of the Mesoproterozoic Diabaig Formation. For a detailed description and interpretation, see Stüeken, E.E. and Prave, A.R., 2022. Diagenetic nutrient supplies to the Proterozoic biosphere archived in divergent nitrogen isotopic ratios between kerogen and silicate minerals. Geobiology.

  • The BGS digital estimated urban soil chemistry data (GB_EstimatedUrbanSoilChemistry_v3) indicates the estimated geometric mean concentrations (mg kg-1) of Arsenic (As), Cadmium (Cd), Chromium (Cr), Nickel (Ni) and Lead (Pb) in topsoil derived by spatial interpolation of the point source urban soil chemistry data. The information is relevant for the first stage of any assessment of risks to human health required by regulatory authorities in relation to land use and also assessing ecological risks. Estimated topsoil PHE (Potentially Harmful Element) concentrations above respective SGVs (Soil Guideline Value) do not necessarily imply a significant health risk but they do highlight the need to consider whether or not there may be a risk. Comparison of this spatially referenced geochemical data set with information on current or historic land use and geological information might help environmental professionals decide whether high PHE concentrations in topsoils can be attributed to geogenic or anthropogenic sources. The dataset is based on, and limited to, an interpretation of the records in the possession of the BGS at the time the dataset was created. An indication of high estimated PHE concentrations in soil does not necessarily mean that an individual site will have a high PHE concentration. Topsoil concentrations in urban areas are frequently characterised by strong spatial variation over short distances so this data should be interpreted and used with caution. The original urban topsoil samples were collected and analysed as part of the BGS Geochemical Baseline Survey of the Environment (G-BASE) project.

  • This is a dataset of environmental data, percentage vegetation cover, total invertebrate abundance, and mean invertebrate body mass, sampled at 96 soil habitat patches in the Hengill geothermal valley, Iceland, in July 2013. The habitat patches span a temperature gradient of 7-38 degrees C, yet they occur within 2 km of each other and have similar soil moisture, pH, total carbon, and total nitrogen. Effects of soil temperature on the structure and diversity of plant and invertebrate communities using this dataset are presented in Robinson et al. (2018), published in the Journal of Animal Ecology. Full details about this dataset can be found at https://doi.org/10.5285/0f074839-1630-4ccd-aa63-84d0da16b28a

  • The data are from a suite of friction experiments performed on simulated fault gouges comprised of clay-quartz mixtures, sheared in a direct-shear arrangement. Some experiments were performed on gouge layers comprised of adjacent patches of kaolinite-clay and quartz (i.e. heterogeneous gouge layers), whereas others were performed on homogeneous mixtures of the two materials (i.e. homogeneous gouge layers). More information on the different types of experiment is provided in the accompanying metadata for this dataset. The relative proportions of clay and quartz were varied in different experiments. All experiments were performed at an effective normal stress of 40 MPa. The sliding velocity was stepped between 0.3 and 3 microns/s every 1 mm of displacement to calculated the rate-and-state friction parameter (a-b). The evolution of shear stress was monitored with increasing displacement (up to a maximum displacement of 8.5 mm).

  • Subsurface 3D geological models of aquifer and seal rock systems from two contrasting analogue sites have been created as the first step in an investigation into methodologies for geological storage of carbon dioxide in saline aquifers. Development of the models illustrates the utility of an integrated approach using digital techniques and expert geological knowledge to further geological understanding. The models visualize a faulted, gently dipping Permo-Triassic succession in Lincolnshire and a complex faulted and folded Devono-Carboniferous succession in eastern Scotland. The Permo-Triassic is present in the Lincolnshire model to depths of -2 km OD, and includes the aquifers of the Sherwood Sandstone and Rotliegendes groups. Model-derived thickness maps test and refine Permian palaeogeography, such as the location of a carbonate reef and its associated seaward slope, and the identification of aeolian dunes. Analysis of borehole core samples established average 2D porosity values for the Rotliegendes (16%) and Sherwood Sandstone (20%) groups, and the Zechstein (5%) and Mercia Mudstone (<10%) groups, which are favourable for aquifer and seal units respectively. Core sample analysis has revealed a complex but wellunderstood diagenetic history. Re-interpretation of newly reprocessed seismic data in eastern Scotland has significantly reduced interpretative uncertainty of aquifer and seal units at depths of up to -6 km OD in a complex faulted and folded Devonian-Carboniferous succession. Synthesis of diverse data in the 3D geological model defines a set of growth folds and faults indicative of active Visean to Westphalian dextral-strike slip, with no major changes in structural style throughout the Carboniferous, in contrast to some published tectonic models. Average 2D porosity values are 14-17% in aquifer units and <2% in the seal unit, with a ferroan dolomite cement occluding porosity at depth.

  • The data contain phenotype measures of Teleopsis dalmanni males. Individuals were all taken from a laboratory stock population. Individuals carried either a nondistorting wildtype X chromosome or a sex-ratio distorting X chromosome. Data were obtained by measuring images of testes, accessory glands, thorax and eyespan, and direct counts of fertilised (hatched) and unfertilised egg. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/6e4c5823-35f5-4c90-b616-2190d87c0391

  • Data identifying landscape areas (shown as polygons) attributed with geological names and rock type descriptions. 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. Superficial deposits are the youngest geological deposits formed during the most recent period of geological time, the Quaternary, which extends back about 2.58 million years from the present. They lie on top of older deposits or rocks referred to as bedrock. Superficial deposits were laid down by various natural processes such as action by ice, water, wind and weathering. As such, the deposits are denoted by their BGS lexicon name, which classifies them on the basis of mode of origin (lithogenesis) with names such as, 'glacial deposits', 'river terrace deposits' or 'blown sand'; or on the basis of their composition such as 'peat'. Most of these superficial deposits are unconsolidated sediments such as gravel, sand, silt and clay. The digital data includes attribution to identify each deposit type (in varying levels of detail) as described in the BGS Rock Classification Scheme (volume 4). 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 IGRF is a global model of the geomagnetic field. It allows spot values of the geomagnetic field vector to be calculated anywhere from the Earth's core out into space. The IGRF is generally revised every five years by a group of modellers associated with the International Association of Geomagnetism and Aeronomy (IAGA).

  • [THIS DATASET HAS BEEN WITHDRAWN]. 1km resolution gridded meteorological variables over Great Britain for the years 1961-2015. This dataset contains time series of daily mean values of air temperature (K), specific humidity (kg kg-1), wind speed (m s-1), downward longwave radiation (W m-2), downward shortwave radiation (W m-2), precipitation (kg m-2 s-2) and air pressure (Pa), plus daily temperature range (K). These are the variables required to run the JULES land surface model [1] with daily disaggregation. The precipitation data were obtained by scaling the Gridded estimates of daily and monthly areal rainfall (CEH-GEAR) daily rainfall estimates [2,3] to the units required for JULES input. Other variables were interpolated from coarser resolution datasets, taking into account topographic information. [1] Best, M. J., Pryor, M., Clark, D. B., Rooney, G. G., Essery, R. L. H., Ménard, C. B., Edwards, J. M., Hendry, M. A., Porson, A., Gedney, N., Mercado, L. M., Sitch, S., Blyth, E., Boucher, O., Cox, P. M., Grimmond, C. S. B., and Harding, R. J.: The Joint UK Land Environment Simulator (JULES), model description - Part 1: Energy and water fluxes, Geoscientific Model Development, 4, 677-699. https://doi.org/10.5194/gmd-4-677-2011, 2011. [2] Tanguy, M.; Dixon, H.; Prosdocimi, I.; Morris, D. G.; Keller, V. D. J. (2016). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2015) [CEH-GEAR]. NERC Environmental Information Data Centre. https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca [3] Keller,V. D. J., Tanguy, M. , Prosdocimi, I. , Terry, J. A. , Hitt, O., Cole, S. J. , Fry, M., Morris, D. G., Dixon, H. (2015) CEH-GEAR: 1km resolution daily and monthly areal rainfall estimates for the UK for hydrological use. Earth Syst. Sci. Data Discuss., 8, 83-112. https://doi.org/10.5194/essdd-8-83-2015. Full details about this dataset can be found at https://doi.org/10.5285/10874370-bc58-4d23-a118-ea07df8a07f2

  • Membrane processes are a promising alternative to the more classical post-combustion capture technologies due to the reduced maintenance of the process, the absence of dangerous solvents and their smaller footprint. This project aims at supporting the development of new mixed matrix membranes for post-combustion applications. Mixed matrix membranes (MMMs) are composite materials formed by embedding inorganic fillers into a polymeric matrix in order to overcome the upper bound and combine the characteristics of the two solid phases: mechanical properties, economical processing capabilities and permeability of the polymer and selectivity of the filler. Despite several studies on the concept, the interactions between the two phases and their effect on the transport properties are not well understood. Yet, this fundamental knowledge is crucial in order to design the reliable materials needed for real-world-applications. Grant number: UKCCSRC-C1-36.