Reflectance Transformation Imaging files of specimen BGS GSM106352, a large (1.0 x 1.2m) display cast, made from Jesmonite AC-300 and coloured dark gray and showing several species typical of the fossil biota on the Bed B surface of Wilby et al. (2011) in Charnwood Forest. Wilby. P, Carney, J.N, Howe, M.P.A 2011 A rich Ediacaran assemblage from eastern Avalonia: Evidence of early widespread diversity in the deep ocean. https://doi.org/10.1130/G31890.1

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.

The data set contains two separate items: (1) Global carbon dioxide removal potential of mine tailings, which includes (a) List of selected silicate-hosted mine tailings (classified by their targeted commodity and typical host rock) for initial assessment of CO2 removal (CDR) potential; (b) Estimated annual and cumulative production (Mt) of suitable tailings for host countries for the years 2030-2100; (c) Assessed deposit types and associated tailings mineralogies; (d) Summary kinetic data for typical targetable minerals in suitable tailings; (e) Effects of mineral compositional (and end member) variations on dissolution rates under unimproved conditions (Wr-Neut); (f) All compiled mineral data used in the GGREW global assessment study and other complimentary GGREW studies; (g) Estimates of dissolution extent over time (on decadal timescales of up to 70 years) for a theoretical 1 kg of tailings material at typical grain sizes and unimproved conditions (using Wr-Neut); (h) Total cumulative CDR (tCDR; MtCO2 as alkalinity); (i) Estimated CDR capacity (cumulative for the estimated annual tailings production at 2030 (sCDR) and total cumulative CDR (tCDR) as alkalinity for 2050 and 2100) for select countries that produce and host suitable tailings; (j) CDR achieved annually by country (2030-2100), under unimproved and improved conditions; and (k) Sources of information for modal mineralogies, commodity production to tailings production ratios and typical grain sizes for each potentially suitable tailings material type. (2) Results of enhanced weathering reactor optimisation with two objectives, namely energy consumption and space (area) requirement, which include the optimisation output for calcite weathering using trickle-bed reactor, calcite weathering using packed-bubble column and forsterite weathering using packed-bubble column. For each of them, the data includes key reactor design parameters, the two objectives, and key process characteristics (particularly, mass transfer performance and mineral dissolution rates).

We present new age models for the Ediacaran-Cambrian which lacks a robust global temporal framework. This interval marks the radiation of animals, but there are major uncertainties in the evolutionary dynamics of this critical radiation and its relationship to changes in palaeoenvironmental changes. Here we present global data from 130 successions that enable us to create four new possible global age models (A to D) for the interval 551–517 million years ago (Ma). These models comprise composite carbonate carbon isotope (δ13Ccarb) curves, which are anchored to radiometric ages and consistent with strontium isotope chemostratigraphy, and are used to calibrate metazoan distribution in space and time. These models differ most prominently in the temporal position of the basal Cambrian negative δ13Ccarb excursion (BACE). Two age models (A and B) place the BACE within the Ediacaran, and yield an age of ~538.8 Ma for the Ediacaran-Cambrian boundary; however models C and D appear to be the most parsimonious and may support a recalibration of the boundary age by up to 3 Myr younger. All age models reveal a previously underappreciated degree of variability in the terminal Ediacaran, incorporating notable positive and negative excursions that precede the BACE. Nothwithstanding remaining uncertainties in chemostratigraphic correlation, all models support a pre-BACE first appearance of Cambrian-type shelly fossils in Siberia and possibly South China, and show that the Ediacaran-Cambrian transition was a protracted interval represented by a series of successive radiations. Data were compiled by Fred Bowyer, with support from Andrey Yu. Zhuravlev, Rachel Wood, Maoyan Zhu, Graham Shields, Ying Zhou, Chuang Yang, Simon Poulton, Dan Condon, Andrew Curtis.

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 (DALR) and the natural magnetic field plus the field created by GIC at the underline site (DALU). 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.

BGS GeoScour v2 provides river scour susceptibility information for Great Britain using a three-tiered data provision allowing increasing levels of understanding at different resolutions from catchment to local (channel/reach) scales. GeoScour v2 includes 18 GIS layers, providing information on the natural characteristics and properties of catchment and riverine environments for the assessment of river scour in Great Britain. The dataset product fills a gap in current scour modelling, with the input of geological properties. It provides an improved toolkit to more easily assess and raise the profile of scour risk, now and in the future, to help infrastructure providers and funders prioritise resources, identify remedial works to preclude costly and prevent disruptive failures. The product has broad applications through its adaptation to suit multiple types of asset susceptible to fluvial erosion. GeoScour looks specifically at the geological factors that influence scour and does not consider any hydraulic or hydrodynamic factors. The GeoScour Dataset Product is designed to be used by multiple stakeholders with differing needs and therefore, can be interrogated at a number of levels. Tier 1 A catchment stability dataset provides a summary overview of the catchment characteristics, typical response type, and evolution. It can be used as a high-level overview for incorporation into catchment management plans, national reviews and catchment comparisons using Tier 2 datasets are available as smaller catchment areas and focusses on providing data for more detailed catchment management, natural flood management and similar uses. It analyses geological properties such as flood accommodation space, catchment run-off potential, geomorphology types, and additional summary statistics for worst, average, and best-case scenarios for underlying surface geology scour susceptibility, as well as additional summary statistics of key environmental parameters such as protected sites and urban coverage. Tier 3 datasets provide the detailed riverine information that is designed to be incorporated into more complex river scour models. It provides the baseline geological context for river scour development and processes and identifies important factors that should be considered in any scour model. Factors such as material mineralogy, strength and density are key properties that can influence a river’s ability to scour. In addition, an assessment of river fall, sinuosity and flood accommodation space is also provided. This data is of use to those assessing the propensity for river scour for any given reach of a river across Great Britain and can be used as an input into hydraulic/hydrodynamic models. Tier 1 and 2 datasets are Open Government Licence (OGL), Tier 3 is licenced.

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.

The data release includes surface and groundwater chemistry data from 86 samples (20 surface water, 60 ground water, and 6 ground water duplicates) collected during the baseline water monitoring at the UK Geoenergy Observatories (UKGEOS) Glasgow facility. This release from the British Geological Survey (BGS) covers surface and groundwater samples collected between 14 September 2020 and 20 May 2021 from 6 surface water sites, 5 mine water boreholes, and 5 environmental monitoring boreholes. The samples were then analysed for the concentrations of selected parameters at BGS and other laboratories. It contains a report and 2 data sheets GroundWaterChemData1 and SurfaceWaterChemData2. Version 2 06/09/2023 - Edits made to create consistency with subsequent data release, field included erroneously, removed.

We collect data from sensors located throughout the UK and beyond capturing information on properties such as groundwater temperature and levels, barometric air pressure and motion sensors. We have recently started collecting information related to the energy efficiency of buildings and have developed techniques for incorporating data from sensors operated by other institutions. Some of the data we collect is available through the sensor API and sensor dashboard which provides easy access to the API data.

Major and trace element data for olivine- and plagioclase-hosted silicate melt inclusions, their host minerals, and associated matrix glasses, from Midfell, Snaefellsjokull and Oraefajokull, Iceland. Melt inclusion compositions are provided as measured, and corrected for post-entrapment crystallization. Reflected light images of the melt inclusions.