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2023

90 record(s)
 
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    Concentrations of total organic carbon (TOC), total petroleum hydrocarbons, polycyclic aromatic hydrocarbons (PAHs) and polychlorinated biphenyls (PCBs) were determined in 84 near-surface soils (5-20 cm depth) taken from a 255 km2 area of Glasgow in the Clyde Basin, UK, during July 2011. Total petroleum hydrocarbon ranged from 79-2,505 mg kg-1 (mean 388 mg kg-1; median 272 mg kg-1) of which the aromatic fraction was 13-74 % (mean 44 %, median 43 %) and saturates were 28-87 % (mean 56 %, median 57 %). Σ16 PAH varied from 2-653 mg kg-1 (mean 32.4 mg kg-1; median 12.5mg kg-1) and Σ31 PAH range was 2.47-852 mg kg-1 (mean 45.4 mg kg-1; median 19.0 mg kg-1). PCB tri-hepta range was 2.2-1052 mg kg-1 (mean 32.4 mg kg-1; median 12.7 mg kg-1) and the ΣPCB7 was 0.3-344 mg kg-1 (mean 9.8 mg kg-1; median 2.7 mg kg-1). This data is associated with the published research paper https://doi.org/10.1017/S1755691018000324 Kim, A.W., Vane, C.H., Moss-Hayes, V. Berriro, D.B., Fordyce, F., Everrett, P. Nathanail, P.C. 2018. Polycyclic aromatic hydrocarbons (PAH) and polychlorinated biphenyls (PCB) in urban soils of Glasgow, UK. Earth and Environmental Science Transactions of the Royal Society of Edinburgh 108, 2-3, 231-248.

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    3D structured light surface scan of a fossil held within the BGS Type and Stratigraphical Reference Collection Sample number: BGS GSM 26215 Species: Lytoceras jurense (Ammonite) Age: Inferior Oolite Group, Jurassic Location: Quarry Hill, Chideock, Dorset

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    This information details the method of calculating dilatancy from pore volumometry measurements. In the velocity step tests, an initial shear enhanced compaction phase drastically reduces the sample pore volume until the sample yields. After the sample yields, the pore volume continues to decrease but at a lower rate of decrease. The imposed velocity steps cause compaction or dilation of the sample material that is superimposed on this overall compaction trend. Pore pressure is held at a set point in all tests and any volume changes in the control system are assumed to correspond directly to changes in pore volume in the sample. The method here is aimed at producing quantitative, reproducible values for dilatancy from experimental data. The script fits a polynomial function to all the volume data to give the overall trend of the shear enhanced compaction. The data position of the start of the velocity step of interest is entered manually into the function. When dilatancy occurs on a step change in velocity, this is not immediately recorded using volumometry, as the permeability of the sample will produce a transient response as pore fluid pressure equilibrates between the sample and the pore fluid pressure system. To discount time effects, every velocity step was processed with a ‘time_dep’ phase for the first 100µm of displacement after the imposed velocity step change. Using the values for ‘vel_step’ and ‘time_dep’, the volumometry data are split into separate matrices incorporating time and volume preceding and following the velocity step change. A linear regression model fits a polynomial curve to the pore volumometry data and returns the coefficient of determination (R2) for the fit of the model. The shear enhanced compaction phase prior to yield is included in the fit. The code incrementally adds the value entered for ‘step’ to the data in the velocity step of interest. This ‘step’ value is a positive or negative value depending on whether the velocity has increased or decreased, respectively. A new linear regression model is then fitted to the whole dataset and if the R2 value has increased, the code will continue to loop to add the value of ‘step’ to the pore volume data. It concludes when the R2 value reaches a peak and begins to decrease, as the fit is no longer improving. We assume at this point that the effect of the dilatancy due to the velocity step has been removed, and the cumulative sum of the ‘step’ values is equivalent to the dilatancy. As the loop goes one iteration past the optimum R2 value, the code reverts to the previous set of values with the best R2 value. In experiments with multiple velocity step changes, the code needs to retain the previous corrections of the data. The function ‘pf_correct’ is used to correct the velocity steps that have been previously processed. The values for ‘vel_step’, ‘time_dep’ and the returned value of ‘offset’ need to be given in the inputs for ‘pf_correct’.

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    Radiocarbon ages of planktic and benthic foraminifera from sediment core EW9302-2JPC in the Northwest Atlantic from 0 to 30,000 years ago. Picked monospecific planktic foraminifera (G. bulloides and N. pachyderma) and mixed planospiral benthic formanifera (Cibicidoides, Melonis, Elphidium) were prepared to graphite at the NERC Radiocarbon Facility - East Kilbride and passed to the Keck Carbon Cycle AMS Facility, University of California, Irvine, USA for 14C analysis.

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    This data set contains micromagnetic simulation results of magnetosome chains with different bending or collapse degrees, including finite element models and various magnetic parameters (hysteresis loops, isothermal remanent magnetism curves, and first-order reversal curves and energy barriers). Published in Pei et al. (2022; doi: 10.1029/2021JB023447)

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    RINEX files of GPS observations obtained in the Uturuncu volcano and surroundings (Altiplano-Puna Deformation Anomaly) during the November 2018 and November 2022 campaigns. In the 2018 and 2022 campaigns, 8 and 10 GPS stations have been installed respectively to help constrain the temporal deformation at Uturuncu volcano. The data contains the GNSS observations made in the 2018 campaign at the stations of Depeche Mode (DEMO), Foo Fighters (FOOF), Jimmy (JIMY), Led Zeppelin (LDZP), Metallica (MTLC), Sex Pistols (SEXP), UBQ4 and UTU Base (UBAS) In the 2022 campaign at the stations of Depeche Mode (DEMO), Foo Fighters (FOOF), IGGY, Jimmy (JIMY), Led Zeppelin (LDZP), Metallica (MTLC), Nirvana (NRVN), Offspring (OFSP), Sex Pistols (SEXP) and UTU Base (UBAS) The following devices were used to obtain these data: -Receiver Leica GR30 (serial numbers 1705008, 1705617 and 1705619) -Antenna Leica AS10 (serial numbers 16071044 and 16151018) -Integrate antenna + receiver Topcon Hiper Pro (serial numbers 326-1106 and 342-0370) -Masts "Nysiros style" and UNAVCO single pin + masts. The duration of data collection ranges from 1 day to 6 days depending on the site of the collection.

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    These data are derived from a voyage on Australia’s R/V Investigator, IN2019_v04, ‘Hotspot dynamics in the Coral Sea: connections between the Australian plate and the deep Earth’. The voyage surveyed the Tasmantid and Lord Howe Seamounts in the Tasman and Coral Seas, together with the Louisiade Plateau in the Coral Sea, sailing from Cairns on 7 Aug 2019 and arriving in Brisbane on 3 Sep 2019. The voyage summary is available at https://www.marine.csiro.au/data/reporting/get_file.cfm?eov_pub_id=1443. This directory includes the ship data, in some cases with initial onshore processing done by CSIRO technical staff (e.g., the underway data). More details are available in the README file.

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    Microscopy (Scanning Electron Microscopy, Cathodoluminescence Imaging) and U-Pb isotopic (Secondary Ionisation Mass Spectrometry) analyses of phosphate minerals in a suite of nine L chondrite meteorites (and one reference analysis of an LL chondrite). The dataset includes multiple SIMS spot analyses of phosphates in each meteorite, as well as images at multiple scales of all grains analysed. The data is reported and analysed in Walton et al., 2022 GCA.

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    Solubility and kinetic data for Fe(II)-silicate precipitation over a range of temperatures, as well as metal drawdown and metal release during diagenesis. Characterisation data for solid precipitates using FTIR and XRD. The XRDML data should be opened on Panalytical highscore, and the XLS file should be opened with Excel, Numbers or OpenOffice. Paper currently under review ‘Micronutrient availability in ferruginous, silica-rich Precambrian oceans’, Rosalie Tostevin, Imad Ahmed

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    This dataset includes raw point cloud data from repeat terrestrial laser scans (TLS) for dry rippled and moist sandy surfaces in the Medano Creek area at Great Sand Dunes National Park, Colorado, USA. As well as the TLS data, additional measurements of the wind speed through a CSAT 3D sonic anemometer and sediment transport using a Sensit and Wenglor fork sensors.