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geoscientificInformation

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    The UK Geoenergy Observatories (UKGEOS) Glasgow 3D coal mine model outputs, created by the British Geological Survey, provide a semi-regional overview of the depth and extent of surveyed and probable coal mine workings, plus stone and coal roads surveyed within the mines. The model allows users to visualise the surveyed and probable coal mine workings to be found beneath this part of Glasgow, applicable at a scale of around 1: 25,000 to 1: 10,000. The data is supplied as grids, triangulated surfaces over a 5 by 4.15 km area, with the depth range to around 300 m below Ordnance Datum. The mine extents are ‘cut out’ of the UKGEOS Glasgow post-drill bedrock model. This model describes both surveyed (recorded on mine abandonment plan) and probable coal mine workings. An area of probable workings has been updated to account for the results of drilling borehole GGC01. Further details and model limitations can be found in the accompanying metadata report http://nora.nerc.ac.uk/id/eprint/531157/

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    The British Geological Survey hold a collection of data recorded during marine geophysical surveys which includes digital data and analogue records. These data result from approximately 350,000 line kilometres of multi-instrument geophysical survey lines. The data include seismic, sonar, magnetic, gravity, echo sounder, multibeam bathymetry and navigation data. The seismic data are mainly for airgun, sparker, boomer and pinger. The data were primarily collected by BGS and the collection also includes additional third party data. The data are primarily from the UKCS (United Kingdom Continental Shelf). The data are stored within the National Geoscience Data Centre (NGDC) and the Marine Environmental Data and Information Network (MEDIN) Data Archive Centre (DAC) for Geology and Geophysics. The majority of legacy geophysical paper records are available as scanned images viewable via the BGS Offshore GeoIndex www.bgs.ac.uk/GeoIndex/offshore.htm. Other records can be scanned on request. Older records are of variable quality. Data not yet available online including segy are available on request enquiries@bgs.ac.uk. The data are applicable to a wide range of uses including environmental, geotechnical, geophysical and geological studies. Reference: Fannin, NGT. (1989) Offshore Investigations 1966-87. British Geological Survey Technical Report WB/89/2, British Geological Survey.

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    Magnetic time-series from the BGS SWIGS differential magnetometer method (DMM) systems. Funded by NERC, grant number: NE/P017231/1 "Space Weather Impact on Ground-based Systems (SWIGS)". These data consist of measurements of the Earth’s natural magnetic field at the remote site (TOPR) and the natural magnetic field plus the field created by GIC at the underline site (TOPU). The database will include .xyz files with the DMM data and one document with metadata. See Hübert, J., Beggan, C. D., Richardson, G. S., Martyn, T., & Thomson, A. W. P. (2020). Differential magnetometer measurements of geomagnetically induced currents in a complex high voltage network. Space Weather, 18, e2019SW002421. doi: 10.1029/2019SW002421 for further details.

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    The dataset is a Soil Corrosivity Map for the U.K. based on the BGS DIGMapGB-PLUS Map. The creation of this dataset involves scoring the Soil Parent Material types for five different attributes that contribute towards the corrosion of underground assets. These are (i) high or low soil pH, (ii) general soil moisture, (iii) the likelihood that soil saturated and undergo periods of anaerobic conditions, (iv) the presence of sulphides and sulphates and (v) the resistivity of the soil parent material. The scoring of each of these parameters was undertaken based on the Cast Iron Pipe Association (CIPA) (now the Ductile Iron Pipe Research Association, DIPRA) rating system. By combining the scores of each parameter a GIS layer has been created that identifies those areas that may provide a corrosive environment to underground cast iron assets. The final map has been classified into three categories signifying: 'GROUND CONDITIONS BENEATH TOPSOIL ARE UNLIKELY TO CAUSE CORROSION OF IRON', 'GROUND CONDITIONS BENEATH TOPSOIL MAY CAUSE CORROSION TO IRON', 'GROUND CONDITIONS BENEATH TOPSOIL ARE LIKELY TO CAUSE CORROSION TO IRON'. The dataset is designed to aid engineers and planners in the management of and maintenance of underground ferrous assets.

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    A brief description of ten core plug samples collected from borehole GGC01 (Glasgow, United Kingdom) is provided, as well as for twelve 15-50 g cuttings samples from 1m intervals within borehole GGA08. Samples were also collected from borehole GGA02 but not used for further analyses. Data comprise results from geomechanical tests, permeability and porosity measurements, and X-Ray Diffraction analyses performed on drillcore samples of sandstones, siltstones, mudstones and coals from eleven depth intervals within the GGC01 borehole. Geomechanical data include triaxial compressional strength, tensile strength, and frictional strength. Frictional strength data was also collected for cuttings samples of sandstones, siltstones, mudstones and coals from the GGA08 borehole. In total twenty-three tensile strength tests were performed on ten sampled intervals, and seven porosity measurements pre-and post-failure were taken. Nine triaxial compressive strength tests and twenty-one frictional strength tests were performed, with permeability measured both before and after failure or shear respectively. From compressive strength tests we also determined the Young’s modulus and Poisson’s ratio. Samples and data are derived from the UK Geoenergy Observatories Programme funded by the UKRI Natural Environment Research Council and delivered by the British Geological Survey.

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    The UK Geoenergy Observatories (UKGEOS) Glasgow superficial deposits GSI3D model outputs, created by the British Geological Survey, provide a semi-regional overview of the depth, thickness and extent of glacial and post-glacial lithostratigraphic units above rockhead. The model allows users to visualise the likely subsurface sequence to be found beneath this part of Glasgow, applicable at a scale of around 1: 25,000 to 1: 10,000. The data is supplied as grids and shapefiles over a 7 by 4.15 km area, with the depth range to around 40 m below Ordnance Datum. This model describes an interpretation of the shallow geology updated to incorporate the results of drilling the 12 UKGEOS Glasgow boreholes (post-drill model). Further details and model limitations can be found in the accompanying metadata report http://nora.nerc.ac.uk/id/eprint/531155/ . DOI: https://doi.org/10.5285/915f690f-32cf-41b7-984e-c32344d3a543

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    The data release includes groundwater chemistry data from 8 samples and 2 tap water samples collected during the borehole construction phase at the UK Geoenergy Observatories (UKGEOS) Glasgow facility. This release from the British Geological Survey (BGS) covers water samples collected between December 2018 and December 2019 and then analysed for the concentrations of selected parameters at BGS and other laboratories. It contains a report and a data sheet. Further details can be found in the accompanying report http://nora.nerc.ac.uk/id/eprint/530443

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    The data release includes surface and groundwater chemistry data from 86 samples (20 surface water, 60 ground water, and 6 ground water duplicates) collected during the baseline water monitoring at the UK Geoenergy Observatories (UKGEOS) Glasgow facility. This release from the British Geological Survey (BGS) covers surface and groundwater samples collected between 14 September 2020 and 20 May 2021 from 6 surface water sites, 5 mine water boreholes, and 5 environmental monitoring boreholes. The samples were then analysed for the concentrations of selected parameters at BGS and other laboratories. It contains a report and 2 data sheets GroundWaterChemData1 and SurfaceWaterChemData2. Further details can be found in the accompanying report https://nora.nerc.ac.uk/id/eprint/532731/ . Detailed methodologies are reported in Fordyce (2021, http://nora.nerc.ac.uk/id/eprint/529818/ and Palumbo-Roe (2021, http://nora.nerc.ac.uk/id/eprint/531098/ ).

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    The borehole information pack from borehole GGA01, site 01 of the UK Geoenergy Observatories (UKGEOS) Glasgow facility. This release from the British Geological Survey (BGS) contains BGS and Drillers’ logs, cased hole wireline data, a listing of archived rock chips and a descriptive report. The mine water characterisation and monitoring borehole was drilled between 11th June and 21st August 2019 (start of drilling to casing installation date) to 52 m drilled depth. The cased borehole was wireline logged and hydrogeologically tested in January 2020. Rock chip samples were taken during the drilling process and have been archived at the National Geological Repository at BGS Keyworth. Further details can be found in the accompanying report http://nora.nerc.ac.uk/id/eprint/528075, DOI https://dx.doi.org/10.5285/0d496c68-f79b-4956-8cd2-4970d1e86145.

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    Soil prediction maps for 56 chemical elements, pH and organic matter content have been produced using machine learning analysis in western Kenya. The predictive maps were based on 452 soil samples collected across western Kenya during field surveys carried out between 2015 and 2020. Samples were analysed by the inorganic chemistry laboratories at the British Geological Survey. The maps, created using random forest machine learning algorithms, are displayed as raster files with a spatial resolution of 500m. The samples were collected as part of a geochemistry and health project to investigate the spatial incidences of diseases in the Rift Valley (e.g. oesophageal cancer, iodine/zinc deficiency), which included a range of data and sample collections to inform sources of micronutrients or exposure to potentially harmful elements, with outputs to inform agriculture and public health practitioners. These predictive maps provide a baseline geochemistry survey for the agri-community, academics and public health officials.