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  • Data set is of drill fluid return, settling tank, and bore hole flush fluids sampled during the development of GGC01 seismic monitoring borehole and GGA07 and GGA08 mine water geothermal wells at the UKGEOS - Glasgow site.

  • The <250um fraction of 19 household vacuum dust samples (collected by citizen participants during 2019-2021) were extracted using high throughput isolation of microbial genomic DNA and sequenced using Illumina NextSeq (12 samples from a national campaign within the UK, 7 samples from Greece and a negative reagent control included to ensure sterility throughout the processing and sequencing steps). These data are available (following period of embargo) from the European Nucleotide Archive via the individual sample accession numbers ERS9609044 to ERS9609063, submitted under the study ID PRJEB49546. Sample location data are provided at town/city, country level. Given the amount of time people spend indoors, residential environments are perhaps the most important, but understudied environments with respect to human exposure to microbes and other contaminants. Across our urban environments, anthropogenic activities (both current and legacy) provide for multiple sources and pathways for the generation and distribution of microbes, inorganic and organic contaminants within the home environment, yet we know relatively little about the potential for dissemination of antibiotic resistance in microbial communities within indoor dust.

  • A dataset of trace metal concentrations (As, Cu, Cr, Mn, Ni, Pb and Zn) in indoor dust from homes from 11 countries, along with a suite of potentially contributory residential characteristics. A household vacuum dust sample, collected by the study participant using their regular vacuum cleaner, was submitted to the laboratory for analysis by X-Ray fluorescence spectrometry (XRF) on the <250um sieved fraction, along with the completion of an online questionnaire survey. Dust sample collection took place between 2018 – 2021. The Home Biome project is affiliated to the DustSafe community science programme (see mapmyenvironment.com). Sample location data are provided at town/city and Country level. Health risk from exposure to potentially contaminant-laden dust has been widely reported. Given the amount of time people spend indoors, residential environments are an important but understudied environment with respect to human exposure to contaminants. Indeed, the nature of the hazard that house dust presents remains poorly characterized. These data will be of interest to those interested in human exposure to potentially toxic elements and environmental health, as well as to the participants, who received a bespoke report on their sample data and information on key sources and ways to reduce exposure to trace elements in indoor dust.

  • Thermal and Alternating Field demagnetisation data from Visean-carbonates from Meathop Quarry sampled in 2018. This covers the Martin Limestone Formation. MQ are sample codes sampled and data collection carried out by Tereza Kamenikova and Dr Mark Hounslow. The AF demagnetisation data flagged with a *G has a GRM correction applied along the lines described in Stephenson (1993). Data measured on a 2G instruments RAPID, with blank correction as in Hounslow(2019). File for of demagnetisaon data in in header and also described in the GM4Edit software (Hounslow et al. 2019). Sub-samples from main sample given codes like MQ2.1, MQ2.2 etc Hounslow, M.W. 2019. GM4Edit (v.5.6) - a windows program to manage, plot, export and manipulate palaeomagnetic magnetometer datasets. http://dx.doi.org/10.13140/RG.2.2.31877.91361/1.

  • This data set contains seismic source parameters (magnitudes, corner frequencies, stress drops and their associated uncertainty) for 94 microseismic events linked to fault reactivation during hydro-fracturing operations in the Horn River Basin (British Columbia). The data presented here were derived from proprietary third party seismic data recorded on 2 arrays of 35 - 15 Hz GEO-OMNI-2400 borehole geophones each. These data were first reported in Adam G Klinger, Maximilian J Werner, Stress drops of hydraulic fracturing induced microseismicity in the Horn River basin: challenges at high frequencies recorded by borehole geophones, Geophysical Journal International, Volume 228, Issue 3, March 2022, Pages 2018–2037, https://doi.org/10.1093/gji/ggab458

  • 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

  • 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).

  • The dataset is a subset of the BGS borehole material database, created on August 1st 2015 covering only the Bowland-Hodder geological unit (as defined and mapped by Andrews et al., 2013). It shows all boreholes (name, location and registration details) for which BGS hold borehole material (drillcore, cuttings, samples and their depth ranges). This data will add value to existing NERC (Natural Environment Research Council) data by allowing a simple route for users to identify borehole material from the Bowland-Hodder interval.

  • These data were collected to study oxidative weathering processes in the Waiapu River catchment, New Zealand, with potential carbon release sourced from the oxidation of petrogenic organic carbon or carbonate dissolution coupled to the oxidation of sulfide minerals. There, in mudstones exposed in a highly erosive gully complex, in situ CO2 emissions were measured with drilled gas accumulation chambers following the design by Soulet et al. (2018, Biogeosciences 15, 4087-4102, https://doi.org/10.5194/bg-15-4087-2018). Temporal and spatial variability in CO2 flux can be put in context with environmental changes (e.g., temperature and hydrology). For this, CO2 release from 5 different chambers, which were installed over a transect of ~ 10 m length in a gully above a nearby streambed, was measured several times over a short study period (circa one week). In addition, the gaseous CO2 storage (partial pressure) in the shallow weathering zone was measured prior to a CO2 flux measurement. To understand the source of CO2, gas samples were collected and their stable and radioactive carbon isotope compositions determined. In this process, we identified a contaminant, which was associated with the chamber installation, that can be traced in the gas samples that were collected within 4 days following the installation. Details of the subsequent data analysis and interpretation can be found in: Roylands et al. 2022, Chemical Geology: Capturing the short-term variability of carbon dioxide emissions from sedimentary rock weathering in a remote mountainous catchment, New Zealand. This work was supported by the European Research Council (Starting Grant to Robert G. Hilton, ROC-CO2 project, grant 678779).

  • The data was generated from a range of laboratory experiments where a range of silicate rocks (granite, basalt, peridotite) were crushed in oxygen-free conditions, deoxygenated water added, and the generation of hydrogen gas and hydrogen peroxide followed over a week. Results were compared to rock-free controls. The data was collected to provide insight into the production of oxidants (such as hydrogen peroxide) along tectonically active regions of the subsurface, and how the oxidants might influence subsurface microbiology.