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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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    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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    Three borehole logs are presented that describe the material excavated from a slag deposit in Consett Co. Durham (ad pdf files). The boreholes were created by GeoSonic Ltd commissioned by Cardiff University in September 2017 as part of a UKRI funded project that explores CO2 uptake in slag. The drilling penetrated through 20 and 25m of material representing the extent of the heap to underlying natural ground. The methods used and samples recovered are described in Pullin et al., 2019 Environmental Science and Technology. 53 (16) 9502-9511. DOI: 10.1021/acs.est.9b01265. The deposited data include photographs of recovered material from one of the boreholes.

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    This dataset contains extremal forecast of latitutude (lat), longitude (lon) and intensity of the geomagnetic dipole between 2019 and 2119. The geomagnetic dipole is evolved by a fluid flow at the core-mantle boundary that maximises the rate-of-change of the dipole latitude. The forecast is calculated from the year 2019 assuming that the geomagnetic field is described by the CHAOS-7 dataset. The optimisation procedure is described in https://doi.org/10.3390/geosciences11080318

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    Apatite Fission Track (AFT) single grain count and horizontal confined track length data acquired from 6 sandstones samples from UKGEOS Glasgow borehole GGC01 drilled in the Dalmarnock area of Glasgow. The sandstones were retrieved from depths of 65, 98, 135, 150, 168 and 198 metres and were Westphalian in age coming from the Middle and Lower Scottish coal measures. Each sample has its BGS Subsample SSK number and an ascribed name in reference to its depth of collection with the added initials of the researcher i.e., 65 AH. The data is presented in 2 files one containing the AFT count data and the other containing the AFT length measurements. The AFT count data of each sample is found in excel file containing the spontaneous and induced track counts of a grain and accessory data of that grain e.g., the calculated age (calculated using the program Isoplotr) and calculated uranium concentration. The AFT length data of each sample comes in a separate excel file with the measured lengths and c-axis corrected lengths of HCTs of a sample, all Dpar measurements are also listed here. 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 data forms the basis of the paper Novella et al (2020 (https://doi.org/10.1016/j.epsl.2019.115973) and full interpretation can be found there. Basalt glass chips were supplied by Bramley Murton (Southampton) and the sample contexts are detailed in https://doi.org/10.1093/petrology/43.11.1987. New trace element data is provided for the clean basaltic glasses (all reported in ppm). The Vanadium isotope composition (del51V) is also reported for these chips. Uncertainties in these analyses are provided as 2-sigma. Updated estimates of the ferric iron content of these chips also provided, based on recalibration of the data reported by Shorttle et al 2015 (https://doi.org/10.1016/j.epsl.2015.07.017).

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    U-Pb isotope ratio data set for numerous phosphate (apatite) grains in two thin section samples of the LL5 S4-6 Chelyabinsk meteorite. One section is of the S4-6 light lithology, and another of the S5-6 dark lithology. Samples analysed were section ‘A' (light lithology) and section ‘B’ (dark lithology) of Chelyabinsk, both from the Open University School of Physical Sciences sample collection. The results demonstrate variability in degree of Pb-loss during collisional reheating from pristine versus damaged apatite crystal domains. These results are reported for a meteorite fall which originally happened near Chelyabinsk in Russia. The results otherwise have no geographic location, as this is a sample of an asteroid. All measurements were made in December 2020. These data were collected using Secondary Ionisation Mass Spectrometry (SIMS) with a CAMECA IMS 1280 at the Institute of Geology and Geophysics, Chinese Academy of Sciences (IGGCAS). The thin sections were polished with colloidal silica, cleaned, and coated with gold prior to analysis. Microtextural information was obtained prior to analysis using a combination of back-scatter-electron, cathodoluminescence, and electron-back-scatter-diffraction analysis. Data were obtained to test hypotheses relating to the competition between macro-to-meso-scale thermally-driven variation in Pb-loss rates versus microscale variation driven by grain-specific features, e.g., fracture networks. An article describing and discussing these results, including further methodological steps in their collection and processing, is due for publication. This information is currently available in preprint form on arXiv: https://arxiv.org/abs/2112.06038

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    These data comprise four phases of geophysical survey carried out in 2002, 2007, 2008 and 2011, covering various areas within the Thames Estuary as part of an overarching archaeological investigation called the London Gateway project (2001-2020) ahead of planned dredging works. 88635_49575_2002 - Area of sidescan sonar data within the Thames Estuary (shell haven) area. The data were acquired in OSGB36 British National Grid coordinates and covers the area: Top Left - 570395.312500 E, 183444.953125 N, Top Right - 604097.250000 E, 183444.953125 N, Bottom Right - 604097.250000 E, 177590.140625 N, Bottom Left - 570395.312500 E, 177590.140625 N. 88635_61207_2007 - Geophysical survey comprising sidescan sonar data acquired over 13 separate wreck sites. Corresponding MBES data were acquired previously in 2005 and are deposited with the UKHO. SSS data comprise a total of 83 .xtf files with 2 channels. Acquired in WGS84 UTMz31N coordinates. 400 KhZ frequency. Range 50 m. Sensor positions rather than ship positions for each line in metadata. Each wreck location is centred on (UTMz31N): Amethyst - 364468 E, 5708659 N; Ancient - 325490 E, 5708230 N; Argus - 359499 E, 5706071 N; Ash - 360905 E, 5706497 N; Atherton - 359708 E, 5706186 N; Dynamo - 401449 E, 5743755 N; EastOaze - 362786 E, 5707385 N; ErnaBoldt - 403551 E, 5746997 N; Letchworth - 357544 E, 5705592 N; London - 343115 E, 5707365 N; Pottery - 346619 E, 5706276 N; SS Storm - 406001 E, 5747115 N; Unknown wreck - 375530 E, 5714052 N. 88635_61208_2008 - Geophysical survey comprising sidescan sonar and multibeam echosounder data over a single wreck site. SSS data comprise a total of 7 .xtf files with 2 channels. 400 KhZ frequency. Range 50 m. Acquired in WGS84 Geographic coordinates. Sensor positions rather than ship positions for each line in metadata. Wreck location in WGS84 UTMz31N: Aisha - 363982 E, 5707656 N. 88635_79800_2011 - Geophysical survey comprising magnetometer, sidescan sonar and multibeam echosounder data undertaken over three separate blocks; Area 9to11, Area 26to36 and Area 105. Area9to11:332980 E, 5708675 N; 332980 E, 5708226 N; 338586 E, 5707813 N; 338681 E, 5708242 N. Area26to36:339693 E, 5708096 N; 339571 E, 5707680 N; 345670 E, 5706229 N; 350490 E, 5706371 N; 350338 E, 5706838 N; 345680 E, 5706685 N. Area105:383734 E, 5719704 N; 384035 E, 5719369 N; 385920 E, 5720804 N; 385619 E, 5721134 N. Where corresponding multibeam echosounder data were acquired, these data have been archived with the United Kingdom Hydrographic Office (UKHO). Overarching full archaeological investigation, including results of the assessment of these data, and technical reports are archived with the Archaeology Data Service (ADS) (https://doi.org/10.5284/1083494).

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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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    Revised dataset available here http://data.bgs.ac.uk/id/dataHolding/13607942 .This dataset comprises 655 borehole records and previously unanalysed pumping tests from across Uganda that were compiled from historical borehole records held within 9 district water offices. The dataset is a compilation of historical borehole records held within nine district water offices across Uganda. These data originated from numerous drilling campaigns undertaken by private contractors in each district to site and construct hand-pump borehole community water supplies between 2000 to 2018. In total over 1000 paper borehole records were initially collated and reviewed. This work was carried out over several months visiting the district water offices. Following a quality assurance procedure 655 records were transcribed to create a digital dataset. Each borehole record in the dataset contains a series of metadata alongside the pumping test data (e.g. pump depth, static water level, pumping rate and duration) including locational information (e.g. coordinates, water strike, borehole depth, borehole lithologies). The dataset is delivered as a series georeferenced site information within an MS Excel spreadsheet file.