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The BGS Permeability Index dataset shows estimated rates of water movement from the ground surface to the water table. The v8 dataset incorporates the latest geology mapping (BGS Geology 50k). This includes updates to the lithology-coding schema, the LEX_RCS. A 2-part code used to identify the named rock unit from the BGS lexicon of named rock units (LEX) followed by a Rock Classification Scheme (RCS) code which describes the rocks lithological characteristics e.g. texture and composition. Updates to these codes and latest dissolution hazard data sourced from BGS GeoSure: Soluble Rocks have been reviewed and classified as part of the version 8 release. The dataset covers Great Britain and is presented at a scale of 1:50 000, based on the geological data at the same scale. However, in areas where the geology is not mapped to this scale, the next best available scale is used. The BGS Permeability Index can be used to compare the relative permeability of deposits at the regional scale, indicating where highly permeable rocks could allow rapid infiltration to occur, or where less permeable rocks are present and water could pond on the ground surface. The dataset can be used as a component in a wide range of geo-environmental assessments such as natural flood management, Sustainable Drainage Systems, engineering desk studies, slope stability, and aquifer vulnerability. It is for use at the regional scale and is not recommended for use at the site-specific scale.
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/
The data release includes initial interpretation from test pumping of boreholes at the UK Geoenergy Observatories (UKGEOS) Glasgow facility. This release from the British Geological Survey (BGS) covers a programme of test pumping carried out in ten boreholes in January and February 2020. It contains contractors reports and data sheets, BGS data sheets of data logger and manual dip data in the pumped borehole and in the observation boreholes. Step tests and five hour constant rate tests were performed in nine of the boreholes and a slug (falling/rising/head) test was performed in one borehole. Further details can be found in the accompanying report http://nora.nerc.ac.uk/id/eprint/530507
The data release includes groundwater chemistry data from 15 samples collected during the borehole test pumping phase at the UK Geoenergy Observatories (UKGEOS) Glasgow facility. This release from the British Geological Survey (BGS) covers groundwater samples collected between 14 January 2020 and 21 February 2020 and then analysed for the concentrations of selected parameters at BGS and other laboratories. It contains a report and 2 data sheets. Further details can be found in the accompanying report http://nora.nerc.ac.uk/id/eprint/531098/.
The study in three coal mining regions: Lower Silesia, Upper Silesia and Lublin (each N=500) was conducted using Computer Assisted Web Interview (CAWI). The questionnaire includes the block of questions concerning mine water awareness, climate change and local/place attachment. The survey online took 15 to 20 minutes and was prepared after in-depth pilot research among participants with different education level from the mining regions. We used the uninformed approach to the survey, so there were no additional questions nor requirements for participants prior to the survey. Since the mine water energy extraction is a technical issue that is neither well known nor commonly used in the narratives of Poles, we tested survey questions with pilot cognitive interviews to remove the technical language and reduce the number of replies without understanding. The interviews were conducted with 10 participants in July 2020 and due to the pilot's recommendations and results, we implemented additional changes in the final version of the questionnaire. Specifically, some questions were simplified and the background information on mine water extraction was simplified and shortened The survey CAWI was completed by adult people aged 18-65 (N=1500) between 14-19 August 2020 by Kantar Research Agency. The sample was constructed using KANTAR’s internet panel profiled for the basic demographics, such as gender, age, and the town size. Particular attention paid to the quality of the panel is reflected in its structure. Kantar’s internet panel reflects the profile of the Polish population of Internet users in terms of its participants’ demographic characteristics. The sample from each region was 500 respondents and among the full sample (N=1500) we reached only 192 people who chose to call “mining areas” as best description of the area where they live. Although the three voivodships were chosen due to its mining industry the selected sample covers the region in general in which mining communities are statically not fully represented. We also asked about the subjective perception of the area respondents live in, which we further analysed with spatial distribution. The dataset was created within SECURe project (Subsurface Evaluation of CCS and Unconventional Risks) - https://www.securegeoenergy.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 764531
This dataset presents the amount of different magnesium carbonates under different conditions. Here, using batch reactor experiments and mineralogical characterization, we explored magnesite precipitation kinetics in chemically complex fluids whereby the impact of fluid acidity and alkalinity, NaCl, and MgO nanoparticles was investigated. The dataset was created within SECURe project (Subsurface Evaluation of CCS and Unconventional Risks) - https://www.securegeoenergy.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 764531
The data represent ground motion results obtained from Interferometric Synthetic Aperture Radar (InSAR) for the UKGEOS – Glasgow site. The InSAR techniques used is called Interferometric Point Target Analysis (IPTA) and the BGS processing is based on Sentinel-1 radar satellite data for the period August 2015 - June 2017. The results include time series of displacement (in mm) during this interval and average velocity across the whole period (in mm/yr) along the satellite Line of Sight (Hanssen, 2001). InSAR has provided information on the baseline conditions of ground stability ahead of any underground activity planned in at the Glasgow Geothermal Energy Research Field Site (GGERFS) as described in Bateson and Novellino (2019). References: Bateson, L.; Novellino, A.. 2019 Glasgow Geothermal Energy Research Field Site : ground motion survey report. Nottingham, UK, British Geological Survey, 35pp. (OR/18/054) (Unpublished). Available at http://nora.nerc.ac.uk/id/eprint/524555/ Hanssen, R., 2001. Radar Interferometry: Dordrecht Kluwer Academic Publishers, The Netherlands (2001) (308 pp.)
The borehole information pack from borehole GGC01, site 10 of the UK Geoenergy Observatories (UKGEOS) Glasgow facility. This final data release pack from BGS contains geophysical (MSCL-S), Near Infrared (NIR) and X-ray Fluorescence (XRF; mineralogical and chemical) core scan and core-wireline depth integration data, in addition to sedimentology, discontinuity and engineering logs, core scan optical and X-ray images, composite and digital wireline logs, drillers' summary logs and prognosis, sample recovery information spreadsheets and daily drillers' borehole records that were contained within the now-superseded intermediate data release. The cored, seismic monitoring borehole was drilled between 19 November and 12 December 2018 to 199m producing a core of 102 mm diameter. The borehole was wireline logged in December 2018 and a string of 5 seismometers were installed in February 2019. A range of fluid, water and core samples were taken during the drilling process. The borehole information pack- final release contains a range of logs on the core as well as images and scans of that core, these data were acquired in the first half of 2019 and late 2020/early 2021. The final data release for GGC01 includes: 1. UKGEOSGlasgow_GGC01_Final.zip file that includes the majority of the various data files, including files from the intermediate and initial data packs. 2. UKGEOSGlasgowGGC01_slabbedhighresimages.zip that contains the slabbed core optical images, 51GB in size. 3. Intermediate Borehole Information Pack - Part Two, high resolution whole core optical and radiographic images https://doi.org/10.5285/0b49f25b-a5d6-401c-98ff-397ad9ee9ed1 71GB in size, already released. Further details and model limitations can be found in the accompanying report http://nora.nerc.ac.uk/id/eprint/530762
Vesicularity (phi) as a function of time for samples of natural hydrated silicate glass (obsidian) from optical dilatrometric analysis. Also numerical model for analysis of dataset and associated user guide.
Geochemical data for the upper 300cm of giant piston core MD04-2832. Core MD04-2832 was collected from the middle basin of Loch Sunart a fjord on the west coast of Scotland from the research vessel Marion Dufresne on the 15th of June 2004. This data resource includes five data sheets: (1) Geochemical data, (2) Bulk radiocarbon, (3) ICP-MS, (4) FRUITS and (5) Age Model. 1. Geochemical data sheet includes Bulk elemental data (Organic Carbon, Nitrogen, C/N ratio, N/C ratio), Isotopic data (δ13C and ẟ15N), Biomarker data (Alkanes, Fatty Acids, GDGT's) and thermosgravimetric data (% labile, recalcitrant and refractory organic matter). 2. Bulk Radiocarbon data sheet includes bulk radiocarbon data for ten sediment samples presented as % modern, 14C Age (years BP), ẟ14C and Δ14C. 3. ICP-MS data sheet includes metal data associated with mining activities within the fjords catchment. Data includes Zinc (Zn), Lead (Pb), Copper (Cu), Barium (Ba), Aluminium (Al) and elemental ratios of these metal normalized with Al concentrations. 4. The FRUITS data sheet contains the outputs from the FRUITS Bayesian isotopic mixing model (Fernandes et al., 2014) used to constrain the source (terrestrial vs marine) of the organic carbon found at site MD04-2832. The model used bulk elemental ratios (N/C), Isotopic (δ13C and ẟ15N) and biomarker data (GDGT - BIT Index) to calculate the terrestrial and marine OC fraction from each downcore sample. 5. The Age Model datasheet contains the age model produced by the BACON software package (Blaauw and Christen, 2011). The age model was developed with a combination of shell/foraminifera radiocarbon dates and radiometric dating (210Pb and 137Cs). Further details on the data can be found in Smeaton, C., Cui, X., Bianchi, T.S., Cage, A.G., Howe J.A., Austin, W.E.N., (2021), The evolution of a coastal carbon store over the last millennium, Quaternary Science Reviews.