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These images were acquired using micro computed tomographic imaging of 7 sandstone plugs taken at various depths in the Sellafield borehole 13B. SF696 (63.8 m), SF697 (76.1 m), SF698 (96.98 m), SF699 (126.27 m), SF700 (144.03 m), SF701 (172.16 m) and SF702 (181.39 m). These samples are further detailed and analysed in the following article: http://dx.doi.org/10.1144/petgeo2020-092
The BGS Permeability data product shows estimated rates of water movement from the ground surface to the water table. BGS Permeability version 8 incorporates the latest geology mapping (BGS Geology 50k). This includes updates to the lithology-coding schema, the LEX_RCS. A 2-part code used to identify the named rock unit from the BGS lexicon of named rock units (LEX) followed by a Rock Classification Scheme (RCS) code which describes the rocks lithological characteristics e.g. texture and composition. Updates to these codes and latest dissolution hazard data sourced from BGS GeoSure: Soluble Rocks have been reviewed and classified as part of the version 8 release. The product covers Great Britain and is presented at a scale of 1:50 000, based on the geological data at the same scale. However, in areas where the geology is not mapped to this scale, the next best available scale is used. The BGS Permeability data product can be used to compare the relative permeability of deposits at the regional scale, indicating where highly permeable rocks could allow rapid infiltration to occur, or where less permeable rocks are present and water could pond on the ground surface. The dataset can be used as a component in a wide range of geo-environmental assessments such as natural flood management, Sustainable Drainage Systems, engineering desk studies, slope stability, and aquifer vulnerability. It is for use at the regional scale and is not recommended for use at the site-specific scale.
2021 data consists of high frequency (100 Hz) data from two horizontal induction coils measuring the Earth's magnetic field at the Eskdalemuir Observatory in the United Kingdom (Location in Geographic Coordinates: 55.314° N 356.794° E and Elevation: 245m above mean sea level).
This dataset provides an overview of hydrothermal alteration samples from the island of Milos, Greece, that were analysed using a portable infrared mineral analyser (PIMA) or AgriSpec spectrometer. During data acquisition, spectrums were input into The Spectral Geologist (TSG) to provide an instant and estimated mineral identification using the shortwave infrared (SWIR) part of the electromagnetic spectrum. The samples were acquired during field visits between 2017 - 2019 by the British Geological Survey and the GW4+ Doctorial Training Partnership (NE/L002434/1). This data was primarily used to aid sample collection for further hydrothermal alteration analyses to improve our understanding of regional and local paleo-hydrothermal activity across the island. Identification by the TSG provides an estimation only, and the raw data files in .txt, .fos and .csv formats, are supplied for each analysis in the attached zipped file. This may be useful within the metallic and industrial mineral mining sector and associated researchers. The data includes grid references (± 5 m), TSG interpretations, and field/sample observations noted during data acquisition. GW4+ Doctoral Training Partnership (NE/L002434/1) is supported by grant award GA/09F/139 – RMS E3557, and the British Geological Survey’s University Funding Initiative (BUFI S345).
This data set comprises broadband magnetotelluric (MT) and transient electromagnetic (TEM) data collected during three field seasons in 2008, 2009 and 2010 by a team of researchers from the University of Edinburgh, UK, IMAGIR, Brest, France and the Institute for Geophysics, Space Science and Astronomy at Addis Ababa University, Ethiopia. The MT dataset includes the original time series and processed transfer functions. The time series data are provided in the original raw data format with files to convert them to ascii. Raw and processed TEM data, collected with a Geonics PROTEM system, are included. We provide information on the locations and the processing and include the necessary instrument response functions and metadata to reproduce our results from the raw data.
The data set presents major and trace element geochemical data obtained from ICP-MS measurements on micro-drilled subsamples of ferromanganese (Fe-Mn) crusts from Tropic Seamount, north-east Atlantic Ocean. The data represent detailed stratigraphic analysis of Fe-Mn crust samples 078_019 and 085_004. These samples were collected at 3100 and 1100 meters beneath sea level, respectively, during the JC142 expedition of the RRS James Cook for the MarineE-Tech project in 2016.
Water concentration as a function of position in silicates from diffusion couple experiments. Data can be used to determine diffusivity of water in the silicate melt. Also numerical model for analysis of dataset and associated user guide.
This is supporting data for the manuscript entitled 'DFENS: Diffusion chronometry using Finite Elements and Nested Sampling' by E. J. F. Mutch, J. Maclennan, O. Shorttle, J. F. Rudge and D. Neave. Preprint here: https://doi.org/10.1002/essoar.10503709.1 Data Set S1. ds01.csv Electron probe microanalysis (EPMA) profile data of olivine crystals used in this study. Standard deviations are averaged values of standard deviations from counting statistics and repeat measurements of secondary standards. Data Set S2. ds02.csv Plagioclase compositional profiles used in this study, including SIMS, EPMA and step scan data. Standard deviations for EPMA analyses are averaged values of standard deviations from counting statistics and repeat measurements of secondary standards. Standard deviations for SIMS and step scan analyses are based on analytical precision of secondary standards. Data Set S3. ds03.csv Angles between the EPMA profile and the main olivine crystallographic axes measured by electron backscatter diffraction (EBSD). 'angle100X' is the angle between the  crystallographic axis and the x direction of the EBSD map, 'angle100Y' is the angle between  crystallographic axis and the y direction of the EBSD map, and 'angle100Z' is the angle between the  crystallographic axis and the z direction in the EBSD map etc. 'angle100P' is the angle between the EPMA profile and the  crystallographic axis, 'angle010P' is the angle between the EPMA profile and the  crystallographic axis, and 'angle100P' is the angle between the EPMA profile and the  crystallographic axis. All angles are in degrees. Data Set S4. ds04.csv Median timescales and 1 sigma errors from the olivine crystals of this study. The +1 sigma (days) is the quantile value calculated at 0.841 (i.e. 0.5 + (0.6826 / 2)). The -1 sigma (days) is therefore the quantile calculated at approximately 0.158 (which is 1 - 0.841). The 2 sigma is basically the same but it is 0.5 + (0.95/2). The value quoted as the +1 sigma (error) is the difference between the upper 1 sigma quantile and the median. Likewise the -1 sigma (error) is the difference between the median and the lower 1 sigma quantile. Data Set S5. ds05.xlsx Median timescales and 1 sigma errors from the plagioclase crystals of this study. Results from each of the parameterisations of the Mg-in-plagioclase diffusion data are included: Faak et al, (2013), Van Orman et al., (2014) and a combined expression. Data Set S6. ds06.xlsx Spreadsheet containing the regression parameters and covariance matrices used in this study and in Mutch et al. (2019). Additional versions of the olivine regressions where the ln fO2 is expressed in Pa have been made for completeness. We recommend using the versions where ln fO2 is expressed in its native form (bars).
The UK Geoenergy Observatories (UKGEOS) Glasgow baseline surface water chemistry dataset1 released from the BGS comprises an excel file with two spreadsheets. The first spreadsheet contains information on the chemical composition of 98 surface water samples (84 samples and 14 field duplicates) collected monthly for 14 months between February 2019 and March 2020 from six sampling locations. These comprised three on the River Clyde at the UKGEOS Glasgow Cuningar Loop borehole cluster and three from control sites (two on the River Clyde and one on the Tollcross Burn). Field measurements of pH, redox potential, specific electrical conductance, temperature, dissolved oxygen and alkalinity and laboratory chemical data for concentrations of 71 inorganic and 10 organic substances in the surface water samples are presented. The dataset contains locational and descriptive information about the samples also. The analyte name, element chemical symbols, analytical method, units of measurement and long-term limits of detection are recorded in header rows at the top of the spreadsheet. The limits of detection/quantification for each monthly batch of samples are documented in rows at the head of each batch. The dataset includes abbreviations documenting quality control issues such as missing values. A guide to abbreviations used in the dataset is provided in the second excel spreadsheet released with the data. Further details about the dataset can be found in the accompanying report http://nora.nerc.ac.uk/id/eprint/529818.
The VOLCORE (Volcanic Core Records) database is a collection of 34,696 visible tephra (volcanic ash and lithological or grain size variations) occurrences reported in the initial reports volumes of all of the Deep Sea Drilling Project (DSDP; 1966–1983), the Ocean Drilling Program (ODP; 1983–2003), the Integrated Ocean Drilling Program (IODP; 2003–2013) and the International Ocean Discovery Program (IODP; 2013-present) up to and including IODP Expedition 381. The combined international ocean drilling programmes (OD) have locations with global coverage. Cored tephra layers and tephra-bearing sediments span timescales from recent to ~150 million years in age. This database is a collection of information about reported visible tephra layers entirely or predominantly composed of volcanic ash. Data include the depth below sea floor, tephra thickness, location, and any reported comments. An approximate age was estimated for most (29,493) of the tephra layers using published age-depth models. The database can be used as a starting point for studies of tephrochronology, volcanology, geochemistry, studies of sediment transport and palaeoclimatology.