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    Chemical composition of 18 ion adsorption deposits (lateritic soils) from Ambohimirahavavy alkaline province, North West Madagascar as part of NERC funded SoS RARE in 2016. Samples collected from pits at depths down to 6.5m below surface. Details of samples in dataset “Sample list for the SoS RARE project” (https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item165705 ). Chemical composition of biological and chemical leachates from one Madagascan sample. Time series covers 60 days leaching during 2016 and results are in mg/kg of original material. Biological leaching agents: Aspergillus sp. And Bacillus sp. Inoculum and natural community and chemical leaching agent: ammonium sulphate. Details of experimental procedure in https://doi.org/10.3390/min8060236. Experiments conducted at the British Geological Survey to assess suitability of bioleaching as a more sustainable alternative to chemical leaching of rare earth elements from ion adsorption deposits.

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    This dataset is a catalogue of elastic stress models of hydraulic fracturing during the 2018 Preston New Road, PNR-1z operations (described in Clarke et al., 2019). This modelling was produced for the publication Kettlety et al. (2020), which studies the physical mechanisms controlling seismicity during hydraulic fracturing. For further details on the modelling approach and context for these data, see Kettlety et al. (2020) and the README file attached here.This is a combined microseismic catalogue of all of the seismic magnitudes recorded for microseismic events recorded during Cuadrilla's Preston New Road hydraulic fracturing operations. 5 magnitude types are given for each event: the downhole measured moment magnitude (Mw); the downhole measured local magnitude (ML); the surface measured ML; the surface measured Mw; and a combined/corrected Mw. This corrected Mw follows the procedure laid out in Kettlety et al. (2021, https://doi.org/10.1785/0220200187) and Baptie et al. (2020, Robust relationships for magnitude conversion of PNR seismicity catalogues. British Geological Survey Open Report, OR/20/042) Functionally, it combines the surface measured Mw and the downhole measured Mw corrected using Equations 4.6 and 4.7 of Baptie et al. (2020). Also included are event origin times, associated injection stages (as described in Clarke et al., 2020, https://doi.org/10.1785/0220190110, and Kettlety et al., 2021), whether this stage was a "minifrac" (just for PNR-1z), the "relative fracture order" (RFO) of that stage, and it's downhole measured location (easting and northing in BNG coordinates, and depth BSL). Downhole measurements Mw and ML were conducting by Schlumberger Ltd. on behalf to the Preston New Road operator Cuadrilla Resources Ldt., and surface ML and Mw were measured by the BGS in Baptie et al., (2020).

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    The World Magnetic Model (WMM), produced jointly with the US National Oceanographic and Atmospheric Administration's National Geophysical Data Center, is the standard model in UK Ministry of Defence and US Department of Defense navigation and attitude reference systems and is also used widely in civilian navigation systems. The model is also used on marine and aviation charts and is revised every five years.

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    The code base for IsoplotR’s graphical user interface (GUI) and its core data processing algorithms are surgically separated from each other. The command-line functionality is grouped in a lightweight package called IsoplotR, which has minimal dependencies and works on a basic R installation. It only uses commands that have been part of the R programming language for many decades and are unlikely to change in the future. In contrast, the GUI is written in html and Javascript and interacts with IsoplotR via an interface library. This interface is currently provided by the shiny package. shiny is free, open, and popular among R developers but has two important limitations: (1) it was created and is owned by a private company, which reduces the software’s future proofness; (2) shiny is a rather ‘bloated’ piece of code that does much more than is needed for IsoplotRgui. To avoid these issues, shinylight is a light-weight alternative to shiny that allows websites to call R functions in a similar fashion to the way in which node.js allows websites to use Javascript as a server language. Shinylight has been integrated in IsoplotRgui and all future software deliverables of the ‘Beyond Isoplot’ project, including the upcoming 'simplex' program for SIMS data processing.

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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 and the field created by GIC at the underline site (BUDU). 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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    Data produced during three BGS ground gas surveys (August 2018, and May and October 2019) of up to 83 point measurements across four pre-determined locations within the UK Geoenergy Observatories (UKGEOS) Glasgow site, located to the south of the Cuningar Loop Woodland Park. The dataset includes measurements of CH4 and CO2 flux between the ground surface and lower atmosphere, along with concentrations of CO2, O2, H2, H2S and ‘residual balance’ in near surface ground gas measured at c.70 cm below ground level. Further details about the dataset can be found in the accompanying report. http://nora.nerc.ac.uk/id/eprint/528737/

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    Major and trace elements data for whole rock and clinopyroxene; major elements data for glassy groundmasses; BSE (back-scattered electron) images of clinopyroxene; Fe-Mg elemental diffusion timescales of clinopyroxene; LA-ICP-MS chemical maps of clinopyroxene.

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    The 5km Hex GS Compressible Ground dataset shows a generalised view of the GeoSure Compressible Ground v7 dataset to a hexagonal grid resolution of 64.95km coverage area (side length of 5km). This dataset indicates areas of potential ground movement in a helpful and user-friendly format. The rating is based on a highest level of susceptibility identified within that Hex area: Low (1), Moderate (2), Significant (3). Areas of localised significant rating are also indicated. The summarising process via spatial statistics at this scale may lead to under or over estimation of the extent of a hazard. The supporting GeoSure reports can help inform planning decisions and indicate causes of subsidence. The methodology is based on the BGS Digital Map (DiGMapGB-50) and expert knowledge of the behaviour of the formations so defined. This dataset provides an assessment of the potential for a geological deposit to compress under an applied load, a characteristic usually of superficial deposits such as peat or alluvium. Some types of ground may contain layers of very soft materials like clay or peat. These may compress if loaded by overlying structures, or if the groundwater level changes, potentially resulting in depression of the ground and disturbance of foundations. Complete Great Britain national coverage is available.

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    This dataset contains data from two seismic and one infrasound array deployed at Mt. Etna during the late part of the 2020-2021 eruptive crises (May-November 2021). The arrays were composed as follow: 1) a 7-element array of 3-component, broadband (Trillium T120 compact) seismometers; 2) a 5-element array of 3-component short-period (Lennartz LE-3Dlite-MkII); 3) a 6-element array of broadband infrasound microphones (IST2018). All data were recorded with a sampling rate of 100 Hz and 24-bit resolution using Digos Datacube3 digitizers. The data were collected through a collaboration between the University of Liverpool, UK, and the Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy, with the purpose of characterizing pre- and syn-eruption tremor signals at Etna, and their links to the timing, style and intensity of paroxysmal eruptive activity at the volcano. The dataset contains records of different examples of paroxysmal activity (i.e., intense episodes of sustained Strombolian explosions accompanied by emission of ash at the vent) as well signals associated with as explosive degassing at the summit vent. Data recovery rates for this experiment were high; there are only very minor gaps in the data owing to periods of scheduled maintenance and data download during the deployment period.

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    Complete major and trace element analyses of all samples investigated under project component chalcophile element processing beneath arc volcanic systems, within NE/M000427/1 (see Cox et al., EPSL, 2019 https://doi.org/10.1016/j.epsl.2019.06.017 and Cox et al., Geology, 2020 https://doi.org/10.1130/G47562.1). Samples include an extensive dataset from Antuco volcano, Chile, and further analyses of young volcanic rocks from multiple Chilean stratovolcanoes and monogenetic centres. Standard data are also provided.