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NERC_DDC

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  • The aa index is a simple global geomagnetic activity index, with units of 1 nT (nanotesla), which is produced from the K indices from two approximately antipodal observatories. At present these are Hartland observatory in the UK and Canberra observatory in Australia. The main advantage in using aa indices for research purposes is that the time series spans further back (to 1868) than any of the other planetary indices time series.Also, up to date values are produced and made available weekly, giving nearer to real time availability than any other planetary index. In between the weekly updates, BGS calculates estimated aa indices, providing real time "nowcasts" which are updated on an hourly basis. These estimates are clearly marked with the letters "Est". Although calculated by the same method, the aa indices available on this service are not the definitive values. These are published by the International Service for Geomagnetic Indices, CRPE/CNET - CNRS, 4 Avenue de Neptune, F-94107 Saint Maur, Cedex, France.

  • The Single Onshore Borehole Index (SOBI) is an index of over 1 million boreholes, shafts and wells and references collections of digital and analogue records from all forms of drilling and site investigation work held by the BGS. The index covers onshore and near shore boreholes from Great Britain dating back to at least 1790 and ranging from one to several thousand metres deep. Some 50,000 new boreholes are added each year. The majority of the records contain written descriptions of the ground encountered. The SOBI index database originated in 1988 from a number of existing tables and from data input from a variety of coding forms. Therefore not all fields in the database are populated and data that should be in some fields may currently form part of the entries in another. The index is available on the BGS website via the Geoindex

  • 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.

  • Provided here are the experimental data for the synthesis and characterisation of crystallinity and CO2 capture performance of Ce-based metal-organic frameworks. For more details on this material, please find the information in the following open-access paper: 10.26434/chemrxiv.13252544.v2. The project took place at Swansea University, Bay Campus, in the Energy Safety Research institute from 1st October until the 31st December 2021. The material was characterised using powder X-ray diffraction (PXRD) to ensure crystallinity and CO2 sorption analysis for comparison of CO2 capture performance with the pristine material’s performance. This material showed promising CO2 capture in previous experiments and is of interest to researchers working on the development of porous materials. All data collected during the project is provided. UKCCSRC Flexible Funding 2021: Scale up of F4_MIL-140(Ce) for next generation carbon capture (F4-Next-CC)

  • Detections of tremor at a set of template locations over the course of four slow slip events in 2004, 2008, 2009, and 2010. As well as identified bursts of tremor within these windows. The dataset consists of: Detected spikes in the tremor time series Each file contains a list of identified spikes in the inter-component coherence time series. LFE (Low frequency earthquakes) locations The locations of LFEs identified by Bostock, M. G., Royer, A. A., Hearn, E. H., and Peacock, S. M. (2012), Low frequency earthquakes below southern Vancouver Island, Geochem. Geophys. Geosyst., 13, Q11007, doi:10.1029/2012GC004391. Cp values through time 12 files containing time series of inter-component and/or inter-station coherence at a range of LFE locations Further descriptions are available in the README and in the preprint hosted on EarthArxiv: Gombert and Hawthorne, Rapid tremor migration during few minute-long slow earthquakes in Cascadia, 2022, doi: 10.31223/X56623.

  • Digitised magnetogram data from Lerwick, Eskdalemuir and Hartland for two large geomagnetic storms (March 1946 and August 1972). Data have been manually extracted using Enguage Digitizer and verified against hourly mean values from the World Data Centre for Geomagnetism

  • The GeoSure data sets and reports from the British Geological Survey provide information about potential ground movement or subsidence in a helpful and user-friendly format. The reports can help inform planning decisions and indicate causes of subsidence. The methodology is based on BGS DiGMap (Digital Map) and expert knowledge of the behaviour of the formations so defined. This dataset provides an assessment of slope instability. Landslide hazard occurs due to particular slope characteristics (such as geology, gradient, sources of water, drainage, man-made constructions) combining to cause the slope to become unstable. Downslope movement of materials, such as a landslide or rockfall may lead to a loss of support and damage to buildings. Complete Great Britain national coverage is available. The storage formats of the data are ESRI and MapInfo but other formats can be supplied.

  • Rocks, thin sections and paper registers: samples from past BGS surveys and projects overseas. Though neglected for several years, the collection has been re-opened for addition of new material from overseas projects and donations. Paper registers are arranged by accession order on a country by country basis. The records have not been placed in electronic format and are not currently machine readable.