AndreaBozzo/ceres-open-data-index huggingface dataset:
Trace elements in residential indoor vacuum dust, collected via a citizen-led sampling approach and analysed by XRF (NERC Grant NE/T004401/1)

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.

Tags: NERC_DDC, Trace elements
Organization: British Geological Survey (BGS)
Microbial genomic DNA data for participant collected household vacuum dust from homes across two bioclimatic regions (UK and Greece) (NERC Grant NE/T004401/1)

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.

Tags: Dust, NERC_DDC
Organization: British Geological Survey (BGS)
Open-loop Ground Source Heat Pump viability screening map, England and Wales (OGC WxS INSPIRE)

The British Geological Survey (BGS) in collaboration with the Environment Agency (EA) has developed a web-based tool that provides an indication of whether suitable conditions exist in a given area for Open-loop Ground Source Heat Pumps (GSHP). The tool is developed within a GIS and maps the potential for open-loop GSHP installations (heating/cooling output >100kW) in England and Wales at the 1:250,000 scale. Data layers from this tool are available to view in this service. The data in this service is available to access for free on the basis it is only used for your personal, teaching, and research purposes provided all are non-commercial in nature as described on http://www.bgs.ac.uk/about/copyright/non_commercial_use.html. Where commercial use is required, licences are available from the British Geological Survey (BGS). Your use of any information provided by the BGS is at your own risk. BGS gives no warranty, condition or representation as to the quality, accuracy or completeness of the information or its suitability for any use or purpose. All implied conditions relating to the quality or suitability of the information, and all liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.

Tags: Digital maps, Energy, Geology, Geothermal energy, NERC_DDC, Soils
Organization: British Geological Survey (BGS)
Normal background concentrations of contaminants (OGC WxS INSPIRE)

The BGS has been commissioned by Defra to provide guidance on what are 'normal' levels of contaminant concentrations in English soils in support of the revision of the Part 2A Contaminated Land Statutory Guidance. The domain polygons and other data produced by this work are served as WMS here.

Tags: Contamination, Digital maps, Geochemistry, Geology, NERC_DDC, Soils
Organization: British Geological Survey (BGS)
Digitised magnetogram data from three UK observatories (NERC Grant NE/P017231/1)

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

Tags: Geomagnetic stations, NERC_DDC
Organization: British Geological Survey (BGS)
2021, CGG Services (UK) Ltd , CG21BROD3D: CGG Brodgar Infill 2021, Site Survey, DECC Reference Number GS_1200

An oil and gas industry 3D survey acquired under licences P118, P2350, P241, P347, P741 in July 2021. The block numbers traversed were 21/1, 21/2, 21/3, 21/4.

Organization: British Geological Survey (BGS)
Ichological presence/absence data from the Pliensbachian of the Llanbedr (Mochras Farm) borehole (NERC Grant NE/N018508/1)

Binary presence/absence of ichnotaxa and lamination from the Pliensbachian of the Llanbedr (Mochras Farm) borehole, Wales, together with a summary of runs tests from the same dataset. Used as basis for cyclostratigraphic analysis. Data are at an even 10 cm resolution from 865.0 m depth to 1284.0 m depth in the borehole. Ichnotaxa included are Phycosiphon, Thalassinoides, and Schaubcylindrichnus. Data may be useful for cyclostratigraphic reanalysis. Dataset comprises supplementary files from Pienkowski, G., Uchman, A., Ninard, K., Hesselbo, S.P. 2021. Ichnology, sedimentology, and orbital cycles in the hemipelagic Early Jurassic Laurasian Seaway (Pliensbachian, Cardigan Bay Basin, UK). Global and Planetary Change, publ. date 1st Dec 2021

Tags: Lamination, NERC_DDC, Trace fossils
Organization: British Geological Survey (BGS)
Dyke-induced fault measurements and predicted dyke properties offshore NW Australia (NERC Grant NE/R014086/1)

Fault analyses used to estimate underlying dyke properties, imaged in 3D seismic reflection data. The seismic reflection data are located offshore NW Australia and image a series of Late Jurassic dykes and overlying dyke-induced normal faults; these structures occur within a sedimentary basin and are now buried beneath several kilometres of rock. The specific seismic reflection dataset used for this study so far is the Chandon 3D survey, which is freely available through https://www.ga.gov.au/nopims. Other 3D seismic surveys (e.g., Glencoe) near Chandon will be used in due course to extend the study area. Analyses of these faults uses an array of point pairs, defined by X, Y, and Z co-ordinates, that mark where certain sedimentary beds are intersected by the fault in its footwall and hanging wall. Mapping of these points every 125 m along each studied fault, for 11-14 sedimentary horizons, was conducted using Petrel seismic interpretation software. From the footwall and hanging wall point pairs, the throw, heave, displacement, and dip of each fault was calculated. By measuring distances between corresponding point pairs on opposing faults, graben width properties and estimated down-dip fault continuations were calculated. The expression of dyke-induced faults observed at the surface in active volcanic areas is often used to estimate dyke location, thickness (expected to roughly equal the heave on overlying faults), and upper tip depth (expected to occur where overlying, oppositely dipping faults meet; i.e. the point of the ‘V’). This study represents the first time natural dyke-induced faults and underlying dykes have been imaged in 3D and quantitatively studied. The dataset presented here allows hypotheses concerning relationships between dyke-induced fault geometries and dyke properties to finally be tested, and provides insight into normal fault kinematics; this will be useful to structural geologists and volcanologists.

Tags: Dykes, Fault geometry, Faults, Grabens, NERC_DDC, Seismic reflection surveys
Organization: British Geological Survey (BGS)
Western Kenya soil geochemistry

Soil prediction maps for 56 chemical elements, pH and organic matter content have been produced using machine learning analysis in western Kenya. The predictive maps were based on 452 soil samples collected across western Kenya during field surveys carried out between 2015 and 2020. Samples were analysed by the inorganic chemistry laboratories at the British Geological Survey. The maps, created using random forest machine learning algorithms, are displayed as raster files with a spatial resolution of 500m. The samples were collected as part of a geochemistry and health project to investigate the spatial incidences of diseases in the Rift Valley (e.g. oesophageal cancer, iodine/zinc deficiency), which included a range of data and sample collections to inform sources of micronutrients or exposure to potentially harmful elements, with outputs to inform agriculture and public health practitioners. These predictive maps provide a baseline geochemistry survey for the agri-community, academics and public health officials.

Tags: Geochemistry, NERC_DDC, Soil maps, Soils
Organization: British Geological Survey (BGS)
National Bedrock Fence Diagram of Great Britain (GB3D_v2012)

In 2011 the British Geological Survey (BGS) decided to begin the assembly of a National Geological Model (NGM) from its existing and on-going geological framework models , comprising integrated national crustal, bedrock and Quaternary models. The bedrock component is the most advanced of these themes and comprises both the calculated models and a complementary network of cross-sections that provide a fence diagram for the bedrock geology of Great Britain. This fence diagram, the GB3D_v2012 dataset is available in a variety of formats from the BGS website www.bgs.ac.uk as free downloads. It complements the existing 1:625 000 scale mapsheets published by BGS utilising the same colour schema and geological classification. The 121 component cross-sections extend to depths between 1.5 and 6 km; they have an aggregate length of over 20,000 km, and they are snapped together at their intersections to ensure total consistency. The sections are based on the existing BGS geological framework models where they cut through them, they also take account of the vast wealth of published data on the subsurface structure of Britain both from BGS and in the literature. Much of this is in the form of cross-sections, contour maps of surfaces, and thicknesses (isopachs). The fence diagram has been built in the Geological Surveying and Investigation in 3D (GSI3D) software. It is envisaged that this dataset will form a useful educational resource for geoscience students and the general public, and also provide the bedrock geology context and structure for regional and catchment scale studies. The fence diagram was built in 2009-12 using funding from the BGS National Capability Programme and the Environment Agency of England and Wales. 14 expert regional geologists compiled the sections.

Tags: Fence diagrams, Geology, NERC_DDC
Organization: British Geological Survey (BGS)
Llanbedr (Mochras Farm) Core Scanning Dataset (NERC Grant NE/N018508/1)

A core scanning dataset from part of the Llanbedr (Mochras Farm) drill core that was drilled onshore in the Cardigan Bay Basin, Wales, UK. This core scan dataset was obtained using the Itrax XRF Scanner MC at the Core Scanning Facility (CSF) at the British Geological Survey (BGS), UK. It contains X-ray fluorescence (XRF) elemental data expressed as elemental counts or peak areas and optical images of each representative core stick. The dataset was created within the scope of the JET project (Integrated understanding of Early Jurassic Earth system and timescale) - https://gtr.ukri.org/projects?ref=NE%2FN018508%2F1 This project has received funding from the International Continental Scientific Drilling Programme (ICDP) and the UK Natural Environment Research Council (NERC).

Tags: NERC_DDC, X ray fluorescence spectroscopy
Organization: British Geological Survey (BGS)
Thermal and microwave paleointensity data measured at the University of Liverpool on natural clinkers from Montana, USA, vitrified fort and volcanic material from Scotland, and volcanic material from the Yandiniling Dike Swarm, Australia

All paleointensity data gathered from the project at University of Liverpool. The data is divided into multiple four letter coded sections which refer to a specific locality and/or experiment type. The sections are as follows: CFEH - Thermal paleointensity experiment on natural clinkers from Montana, USA, looking primarily at the Epsilon Hematite phase, with an additional high-power alternating field demagnetisation step after each infield step of the experiment. LPRM - volcanic material from Kinghorn and Wormit Bay, Scotland (335 and 410 million years old). This was a specific experiment with samples given a prior high temperature applied field of 80 micro Tesla and a pressure remanent magnetisation of 80 micro Tesla. VFSS – a microwave paleointensity experiment carried out on Scottish vitrified fort material, sampled in the 1980s. WTBY – microwave paleointensity experiments carried out on Scottish volcanics from Wormit Bay. Sampled September 2015. YDSR – volcanics from Yandiniling Dike Swarm, in Yilgarn Craton, Australia, 2.6 billion years old. Sampled Nov 2018. Sampled with Yebo Li from the University of Curtin (Perth) as part of a collaboration, resampling of 16WDS sites from his palaeodirections paper. These were microwave demagnetisation (specimen orientation only) and paleointensities. NERC grant NE/P00170X/1.

Tags: Carboniferous, Devonian, Magnetic fields, Magnetism, NERC_DDC
Organization: British Geological Survey (BGS)
CO2 leakage detection

UKCCSRC Flexible Funding 2020. Experimental data are the acoustic emission (AE) signals collected with three AE sensors when CO2 leak from a CO2 storage cylinder under different pressures. '5MPa_20kgh-1' means the data was collected when the pressure was 5MPa and the leakage rate was 20 kg/h. The sampling frequency of AE signals is 3MHz. UKCCSRC Flexible Funding 2020: Monitoring of CO2 flow under CCS conditions through multi-modal sensing and machine learning.

Tags: Carbon capture and storage, Carbon dioxide, NERC_DDC
Organization: British Geological Survey (BGS)
CO2 Flow Metering

UKCCSRC Flexible Funding 2020. The experimental data was collected on a 1-inch bore gas-liquid two-phase CO2 flow rig in real time. The first column of the table is the time stamp. The second to 19th columns are the mass flowrates, temperatures, densities and tube frequencies from Coriolis flowmeters installed on the gas phase section, liquid phase section, horizontal test section and vertical test section, respectively. The last column of the datafile is the reading from the differential pressure (DP) transducer installed across the Coriolis flowmeter on the horizontal test section. UKCCSRC Flexible Funding 2020: Monitoring of CO2 flow under CCS conditions through multi-modal sensing and machine learning.

Tags: Carbon capture and storage, Carbon dioxide, NERC_DDC
Organization: British Geological Survey (BGS)
Marine Scotland (MSO) Geophysical and Multibeam Survey 2012/9_MS: Argyll Array: South-west of Tiree (22/Jul/2012 to 06/Aug/2012)

This marine geophysical and multibeam survey was undertaken in July/August 2012 off south-west Tiree by the British Geological Survey (BGS) on behalf of Marine Scotland on board the Northern Lighthouse Board vessel NLV Polestar. Sea floor bathymetry data were collected using a Kongsberg EM3002D multibeam system. Sub bottom seismic profiling data were collected using a surface tow boomer. The data are archived by BGS and are also available on Marine Scotland Interactive (MSI) - http://www.gov.scot/Topics/marine/science/MSInteractive/Themes/Renewables/Data. Multibeam bathymetry data are available from the UKHO Bathy DAC, https://www.gov.uk/guidance/inspire-portal-and-medin-bathymetry-data-archive-centre. Backscatter data are available from the backscatter layers in the BGS Offshore GeoIndex. Technical details of the survey are contained in BGS Report of Survey CR/12/099, https://nora.nerc.ac.uk/id/eprint/529501/. GeoIndex Offshore - https://mapapps2.bgs.ac.uk/geoindex_offshore/home.html?cruise=2012/9_MS&.

Organization: British Geological Survey (BGS)
British Geological Survey (BGS) Geophysical and Multibeam Survey 2012/8: Loch Broom & Gruinard Bay (25/Jun/2012 to 06/Jul/2012)

This British Geological Survey (BGS) marine geophysical and multibeam and survey took place in June/July 2012 in the area of Loch Broom and Gruinard Bay on board the RV White Ribbon. Sea floor bathymetry data were collected using a Kongsberg EM3002D multibeam system. Sub bottom seismic profiling data were collected using an Applied Acoustics surface tow boomer (STB). These data are archived by BGS.

Organization: British Geological Survey (BGS)
Natural Environment Research Council (NERC) Geophysical and Multibeam Survey 2012/7 QICS: Ardmucknish Bay (20/Jun/2012 to 22/Jun/2012)

This British Geological Survey (BGS) marine geophysical and multibeam survey took place in June 2012 in the area of Ardmucknish Bay on board the RV White Ribbon. This was a follow up survey to the previous work carried out in this area (2011/4 and 2012/5). QICS (Quantifying and monitoring potential ecosystem impacts of geological carbon storage) was a scientific research project funded by NERC; its purpose was to improve the understanding of the sensitivities of the UK marine environment to a potential leak from a carbon capture storage (CCS) system. Sea floor bathymetry data were collected using a Kongsberg EM3002D multibeam system. Sub bottom seismic profiling data were collected using an Applied Acoustics surface tow boomer (STB). These data are archived by BGS. Webpage www.bgs.ac.uk/QICS/.

Organization: British Geological Survey (BGS)
Whole rock geochemistry for Chilean volcanoes including chalcophile element chemistry (NERC Grant NE/M000427/1)

Complete major and trace element analyses of all samples investigated under project component chalcophile element processing beneath arc volcanic systems, within NE/M000427/1 (see Cox et al., EPSL, 2019 https://doi.org/10.1016/j.epsl.2019.06.017 and Cox et al., Geology, 2020 https://doi.org/10.1130/G47562.1). Samples include an extensive dataset from Antuco volcano, Chile, and further analyses of young volcanic rocks from multiple Chilean stratovolcanoes and monogenetic centres. Standard data are also provided.

Tags: Igneous rocks, NERC_DDC, Subduction zones, Volcanic rocks, Whole rock analysis
Organization: British Geological Survey (BGS)
Thermal and Alternating Field demagnetisation data from Viesan-age carbonates from the Meathop quarry section, Cumbria sampled in 2018, measured at the University of Lancaster. (NERC Grant NE/P00170X/1)

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.

Tags: Magnetostratigraphy, NERC_DDC
Organization: British Geological Survey (BGS)
Carbon, Hydrogen, lithophile trace element, and major element data in olivine hosted melt inclusions from four Icelandic eruptions (NERC Grant NE/M000427/1)

Data were collected on olivine hosted melt inclusions from four Icelandic eruptions: Stapafell, Haleyjabunga, Berserkjahraun and Heilagsdalsfjall. These data were released as part of the paper "The global melt inclusion C/Ba array: Mantle variability, melting process, or degassing?", published in Geochimica et Cosmochimica Acta, with doi: 10.1016/j.gca.2020.09.030. The data collected to place new constraints on the volatile content of the Icelandic mantle source. The data include measurement of C and H by Secondary Ion Mass Spectrometry, lithophile trace elements (including Ba and Nb) by Secondary Ion Mass Spectrometry, and measurement of major element composition of the melt inclusions and their olivine hosts by Electron Probe Microanalysis. The data were collected in 2017-2018, between Edinburgh (NERC ion probe facility) and Cambridge (EPMA).

Tags: NERC_DDC, Olivine, Volatile matter
Organization: British Geological Survey (BGS)
Electron backscatter diffraction data and sample analysis from the Nusfjord Shear Zone, Lofoten, Norway (NERC Grant NE/P001548/1)

Field and microstructural analysis of pseudotachylytes formed at lower crustal depths and now lying exposed in the Flakstadøy Anorthosite, Lofoten, Norway. Electron backscatter diffraction (EBSD) analysis : 10 EBSD datasets (cpr files) - unfiltered. These characterise deformation in pyroxenes spatially associated with pseudotachylyte faults in the Nusfjord anorthosite. Grain size analysis - backscattered electron (BSE) images and processed equivalents (segmented manually or with ImageJ software) of fragmented orthopyroxene for grain size analysis. Results are processed in the spreadsheet 'Grain size distributions for fragmented OPX'. Samples involved: LC1724 and N22 Grain growth modelling - spreadsheet calculating grain growth rates for orthopyroxene in samples LC1724 and N22 Strain analysis - used to estimate strain via clast analysis of mylonitised pseudotachylyte, sample 269c

Tags: Earthquakes, Faults, NERC_DDC, Seismicity, Shear zone
Organization: British Geological Survey (BGS)
Susceptibility, hysteresis, coercivity, isothermal remanent magnetisation and thermomagnetic curve Rock Magnetic data measured at University of Liverpool (NERC Grant NE/P00170X/1)

Rock magnetic data corresponding to demagnetisation (LIV_DEMAG) and paleointensity (LIV_PI) data submitted as part of this grant. This data is divided into two subfolders, "Kappabridge" and "VFTB", corresponding to the instrument used to acquire the data. Those folders each contain one or more folders labelled with a four letter code, corresponding to a specific locality and/or experiment type, matching the letter codes in LIV_DEMAG and LIV_PI. The Kappabridge folders then contain raw data files of temperature-dependent magnetic susceptibility, and the VFTB folders contain raw data files of hysteresis, coercivity, isothermal remanent magnetisation and thermomagnetic curve measurements. CFEH corresponds to clinker samples from USA attempting to isolate an Epsilon Hematite phase. LPRM are data from Kinghorn and Wormit Bay volcanics in Scotland, ~330 Ma, specifically for samples given a lab TRM at 80uT and a PRM at 80uT. WTBY are Devonian volcanics from Wormit Bay, sampled in 2015. YDSR are data from Yandiniling Dike Swarm, Yilgarn Craton in Australia, sampled Nov 2018.

Tags: Carboniferous, Devonian, Hysteresis, NERC_DDC
Organization: British Geological Survey (BGS)