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2020

121 record(s)
 
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    The partitioning coefficients of water between iron and silicate melts at 20, 50, 90 and 135 gigapascals (corresponding to 2800, 3500, 3900 and 4200 kelvin) were calculated by using ab initio molecular dynamics and thermodynamic integration techniques. The Gibbs free energy of a series of iron and silicate melts with different concentrations of H2/H2O were calculated. Then the chemical potentials of H2/H2O were derived from the concentration dependent Gibbs free energies at each pressure temperature. The partitioning coefficients can be calculated by equating the chemical potential of H2/H2O in iron and silicate melts. The Weeks-Chandler-Andersen (WCA) system with established thermodynamics was used as the reference.

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    Late (0-250 ka) and middle (1050-1280 ka) Pleistocene boron isotope data from planktic foraminifera (Globigerinoides ruber) and oxygen isotopes data from benthic formainifera (Cibicidoides wuellerstorfi). Boron isotopes measured using multi-collector inductively coupled plasma mass-spectrometry (MC-ICPMS).

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    River elevation and catchment area data for major rivers in Calabria, Italy (one river profile in each file). Data were extracted from 1 arc second SRTM (Shuttle Radar Topography Mission) Digital Elevation Models using the Arc GIS hydrology toolbox between October 2015 and October 2019. These river profiles were acquired for fluvial inversion to calculate rock uplift in Calabria.

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    This dataset contains a summary of the weekly volumetric output of pumps monitored using Smart Handpump sensors for 2014 and 2015. Grants that permitted the data collection include: Groundwater Risk Management for Growth and Development project (NE/M008894/1) funded by NERC/ESRC/DFID’s UPGro programme; New mobile citizens and waterpoint sustainability in rural Africa (ES/J018120/1) ESRC-DFID; Groundwater Risks and Institutional Responses for Poverty Reduction in Rural Africa (NE/L001950/1) funded by NERC/ESRC/DFID’s UPGro programme Notes: 1. The accuracy of these volume figures should be considered to be +/- 20%. 2. The dataset has gaps due to variable signal, and some attrition due to damage and vandalism. 3. Not all pumps in the study area were under monitoring. References: [1] P. Thomson, R. Hope, and T. Foster, “GSM-enabled remote monitoring of rural handpumps: a proof-of-concept study,” Journal of Hydroinformatics, vol. 14, no. 4, pp. 829–839, 05 2012. [Online]. Available: https://doi.org/10.2166/hydro.2012.183 [2] Behar, J., Guazzi, A., Jorge, J., Laranjeira, S., Maraci, M.A., Papastylianou, T., Thomson, P., Clifford, G.D. and Hope, R.A., 2013. Software architecture to monitor handpump performance in rural Kenya. In Proceedings of the 12th International Conference on Social Implications of Computers in Developing Countries, Ochos Rios, Jamaica. pp. 978 (Vol. 991).

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    Data output from the numerical flow modelling in GRL manuscript ""Evidence for the top-down control of lava domes on magma ascent dynamics"", by Marsden, L., Neuberg, J. & Thomas, M., all of University of Leeds. The models were created using the Laminar Flow module in COMSOL Multiphysics v5.4 by L. Marsden. The following files are uploaded: Archive_Reference_Model.txt (Reference flow model: Gas loss function, Initial H2O content = 4.5 wt.% Excess pressure at depth = 10 MPa, Constant corresponding to crystal growth rate = 4e-6 s^-1 ) Archive_High_H2O.txt (Gas loss function, Initial H2O content = 10 wt.% Excess pressure at depth = 10 MPa, Constant corresponding to crystal growth rate = 4e-6 s^-1) Archive_No_Gas_Loss.txt (No gas loss, Initial H2O content = 4.5 wt.% Excess pressure at depth = 10 MPa, Constant corresponding to crystal growth rate = 4e-6 s^-1) Archive_Gamma_Low.txt (Gas loss function, Initial H2O content = 4.5 wt.% Excess pressure at depth = 10 MPa, Constant corresponding to crystal growth rate = 1e-6 s^-1) Archive_Excess_Pressure_0MPa.txt (Gas loss function, Initial H2O content = 4.5 wt.% Excess pressure at depth = 0 MPa, Constant corresponding to crystal growth rate = 4e-6 s^-1) Archive_Excess_Pressure_20MPa.txt (Gas loss function, Initial H2O content = 4.5 wt.% Excess pressure at depth = 20 MPa, Constant corresponding to crystal growth rate = 4e-6 s^-1) The files uploaded include the reference flow model and where a single key parameter has been changed in the flow modelling. We include data where the key parameter is at the upper or lower limit of the values tested. Data are not included where magma ascent is modelled to stall without the extrusion of a lava dome, as a time dependent model is not run in this case. A solution is provided using equilibrium modelling only. The following variables are output, at conduit centre unless specified: Depth (m), Time(s), Ascent velocity (m/s), Bulk Viscosity (Pa s), Crystal Content, Dome height (m), Gas Volume Fraction, Overpressure (Pa), Shear Stress at Conduit Wall (Pa)

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    Data used for the peer-reviewed manuscript entitled 'Variation of hydraulic properties due to dynamic fracture damage: Implications for fault zones' by Aben, FM, Doan, M-L, and Mitchell, TM. Manuscript currently in revision for Journal of Geophysical Research. Data consists of: Text files with the mechanical data timeseries (confining pressure, and pore volume and pore fluid pressure for two pore fluid pressure intensifiers) obtained during permeability measurements of deformed rock samples. File name contains sample number. Additional two mechanical data files (calib15 and calib18) are calibration files for the pore volume measurements. Manually traced X-ray CT images obtained on six samples.

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    The RiftVolc microgravity network was comprised of a total of 4 benchmarks including a reference benchmark. Benchmark locations, observed gravity changes, dg14 -16, from 2014-2016, corresponding vertical deformation, Uz, free-air effect, and resultant residual gravity changes gr of the microgravity and GNSS network at Corbetti.

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    The dataset comprises: Petrophysical data for rocks from the region, XRD mineralogical data, Results of the gravity survey of the basin, tabulation and location of all bedding orientation data for the basin, and sediment transport lineation data. The dataset accompanies publication : On the Structure and Evolution of the Sorbas Basin, S.E. Spain, Tectonophysics 773 (2019) 228230, DOI: https://doi.org/10.1016/j.tecto.2019.228230

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    This document is the drillers log of strata encountered during site investigation work. The log was made in the field during drilling at Prees, Shropshire on 8th to 10th January 2020. The log includes basic information on lithology and drilling equipment used and depths of the individual core runs.

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    Geochemical data for the Huainan Basin include Fe speciation data; P speciation data; elemental Al, Fe, P, Mn, Sr data, total organic carbon; C isotope ratios of organic C and carbonates. Geochemical data for the Taoudeni Basin and the Anamikie Basin include Fe speciation data; P speciation data; and elemental P and total organic carbon analyses.