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    These data consist of a spreadsheet containing 557 ground control points (GCPs) collected in the Everest region of Nepal between October 2015 and October 2016. GCPs were collected using a Leica GS10 differential Global Positioning System (dGPS), post-processed against base station data at Syangboche. These final data have sub-centimetre accuracy (in x, y and z) in all cases. Point positions are heavily concentrated around meltwater ponds on the glacier surface, and prominent features around the glacier margin. These data will be used by PhD students and staff in the School of Geography, University of Leeds, to provide ground control for fine-resolution satellite imagery and Structure-from-Motion surveys to assess mass loss processes on Khumbu Glacier.

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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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    Collection of data from the PhD Thesis "Thermo-mechanical loading of intact rock and discontinuities" by J Woodman. This collection of data includes raw logged .csv datafiles of uniaxial compression testing and triaxial compression testing on intact synthetic compositions, as well as intact and discontinuous specimens of Thornhill Rock and Midgley Grit at both ambient temperatures, and temperatures up to 100°C.

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    Dupont, Valerie (2016) Data for "Kinetics study and modelling of steam methane reforming process over a NiO/Al2O3 catalyst in an adiabatic packed bed reactor" in International Journal of Hydrogen Energy. University of Leeds. Data file containing datasets used to generate the figures and tables in the paper. [Dataset] https://doi.org/10.5518/126. [Publication] http://doi.org/10.1016/j.ijhydene.2016.11.093

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    Mineral chemistry of volcaniclasts from IODP Site 1438 drilled during exp.351 in the Amami Basin, W.Pacific Ocean. This data includes mineral chemistry of mafic minerals determined by electron microprobe at University of Leeds.

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    Output from the FAMOUS General Circulation Model presented in the study by Dentith et al. (2018) "Ocean circulation drifts in multi-millennial climate simulations: the role of salinity corrections and climate feedbacks". The following ocean variables are included at model resolution (2.5 ° x 3.75 °): salinity, meridional overturning streamfunction, potential temperature, mixed layer depth, and barotropic streamfunction. Precipitation, evaporation and sea ice concentration data are also included at atmospheric resolution (5 ° x 7.5 °). All data has been processed into netCDF timeseries.

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    Data derived from UKCCSRC Call 2 Project C2-181. The journal article can be found at http://dx.doi.org/10.1016/j.fuel.2017.03.072. Sorption enhanced chemical looping steam reforming of methane (SE-CLSR) relies on the exothermicity of both a metal catalyst’s oxidation and the in situ CO2 capture by carbonation onto a solid sorbent to provide the heat demand of hydrogen (H2) production by steam reforming while generating a nearly pure H2 product. A brief thermodynamic analysis to study the main features of the SE-CLSR process is done prior to the reactor modelling work. Later, one dimensional mathematical model of SE-CLSR process in the packed bed configuration is developed using gPROMS model builder 4.1.0 under the adiabatic conditions. This model combines reduction of the NiO catalyst with the steam reforming reactions, followed by the oxidation of the Ni-based reduced catalyst. The individual models of NiO reduction, steam reforming with in situ CO2 capture on Ca-sorbent, and Ni re-oxidation are developed by using kinetic data available in literature and validated against previous published work. The model of SE-CLSR is then applied to simulate 10 alternative cycles of the fuel and air feed in the reactor. The performance of the model is studied in terms of CH4 conversion, CO2 capture efficiency, purity and yield of H2. The sensitivity of the process is studied under the various operating conditions of temperature, pressure, molar steam to carbon ratio (S/C) and mass flux of the gas phase. In this work, the operating conditions used for the production of H2 represent realistic industrial production conditions. The sensitivity analysis demonstrates that the developed model of SE-CLSR process has the flexibility to simulate a wide range of operating conditions of temperature, pressure, S/C and mass flux of the gas phase.

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    This poster on the UKCCSRC Call 2 project, Investigating the radiative heat flux in small and large scale oxy-coal furnaces for CFD model development and system scale up, was presented at the Cardiff Biannual, 10.09.14. Grant number: UKCCSRC-C2-193.

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    This poster on the UKCCSRC Call 2 project Investigating the radiative heat flux in small and large scale oxy-coal furnaces for CFD model development and system scale up was presented at the CSLF Call project poster reception, London, 27.06.16. Grant number: UKCCSRC-C2-193. Oxy-fuel (coal or biomass) combustion significantly changes the heat transfer properties of power plant furnaces. Thus future power plants using oxy-fuel technology will rely greatly on computational modelling. This project aims to collect combustion and heat transfer data from both small and large scale furnaces and to validate the computational model in order to make it ready for future technology scale up. Specific objectives are: • Take measurements at the 250 kW oxy-coal furnace at PACT national facilities in Sheffield, including combustion and heat transfer data. • Take measurements at a 35 MW oxy-coal furnace in China. • Validate CFD models developed and investigate the combustion and heat transfer properties in both large and small furnaces.

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    Excel file containing abundance data of planktonic foraminifer from IODP Expedition 375 Hole 1520C (41R-44R)