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2022

75 record(s)
 
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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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    The data deposit includes results from 12 experiments that reacted carbon dioxide, seawater and limestone as a method of CO2 sequestration (as xlsx files). The data were obtained by Dr Huw Pullin, Cardiff University as part of a UKRI funded research project. Experiments were conducted under controlled temperatures (20degC), and CO2 pressures (5 and 50% v/v at 1 atm). The methods used are described in Xing et al., 2022 Chemical Engineering Journal. 431. 134096 DOI: 10.1016/j.cej.2021.134096

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    The dataset describes the results of high pressure experimental measurements of three contrasting 'tight' rocks; a Bowland Shale, a Haynesville shale and Pennant sandstone. The results are tabulated as a csv file, listing experimental parameters, confining pressure, argon gas pore pressure and permeability. complementary measurements of key petrophysical data are provided - bulk modulus of compressibility, porosity TOC and density.

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    H2 adsorption data on sub-bituminous coal as a function of pressure. Hydrogen flooding of a coal core. Micro CT imaging of the effect on coal swelling after hydrogen injection. Hydrogen is trapped, and no swelling is observed indicating that coal might be a good candidate for the storage of hydrogen.

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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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    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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    Chemical composition of bioleaching experiments on three Turkish karst bauxites using three approaches and equivalent uninoculated controls. Bioleaching methods consist of organic acid bioleaching (Aspergillus), reductive bioleaching (Acidithiobacillus ferrooxidans) and oxidative bioleaching (A. ferrooxidans). Bioleaching experiments were conducted at the British Geological Survey to assess the potential for bauxite to recover rare earth elements from bauxite. Details of experimental design and interpretation is published elsewhere (http://dx.doi.org/10.3390/min10080649)

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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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    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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    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.