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    This dataset contains digital models of three carbonate (Indiana limestone, Estaillades limestone and Edwards Brown Dolomite) and two sandstone (Bentheimer and Bunter) cores with varying degrees of heterogeneity types and length scales. The models define the spatial distribution of porosity and capillary heterogeneity, and can simulate core floods. To build these models, the workflow by Jackson et al. (2018) was followed. It combines observations from coreflood experiments with a numerical optimisation scheme to characterise the capillary heterogeneity within a rock sample. The data presented here contains the experimental X-ray CT dataset used for the paper "History Matching Core Floods in Heterogeneous Sandstone and Carbonate Rocks" by Wenck et al. (Under Review) along with CMG IMEX modelling files. Funding source: EPSRC iCase studentship with BP

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    Data for NERC grant NE/L000660/1. This is the data supporting Fig. 4 of the publication: Ebigbo, A., Lang, P. S., Paluszny, A., and Zimmerman, R. W. (2016). Inclusion-based effective medium models for the permeability of a 3D fractured rock mass. Transport In Porous Media, DOI: 10.1007/s11242-016-0685-z. It contains numerically computed permeabilities for various realisations of fracture networks. There are six different cases (as explained in the paper).

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    ShapeCalc is an Excel-based tool that uses 2D crystal intersection widths and lengths to estimate 3D crystal shape. ShapeCalc provides 3D (S:I:L) shape estimates for 2D width-length (w-l) input data. Best estimates are found by comparing the sample w/l distribution with 2618 model w/l distributions covering shapes from 1:1:1 to 1:20:20. Model w/l distributions are obtained by 20000 random sections of a given model shape using the CSDCorrections algorithm (Higgins, 2000). For each model shape, the 20000 w/l datapoints are binned into 25 bins with w/l increments of 0.04. Binned distributions for all 2618 models are stored in the database tab. Compared to existing 2D-to-3D projection tools, ShapeCalc offers more robust constraints in 3D crystal shape (including uncertainty estimates) for a wider range of naturally occurring crystal shapes. ShapeCalc is described and published, with open access; Mangler, M.F., Humphreys, M.C.S., Wadsworth, F.B. et al. Variation of plagioclase shape with size in intermediate magmas: a window into incipient plagioclase crystallisation. Contributions to Mineralogy and Petrology 177, 64 (2022). https://doi.org/10.1007/s00410-022-01922-9

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    Elastic constants were calculated by using the stress-strain method and density functional theory for crystals of different symmetry. A toolkit was developed to facilitate the input preparation and output processing for elastic calculations using the Vienna Ab Initio Simulation Packge (VASP). The details of the calculation. methods, and the toolkit will be published elsewhere and linked to this deposit. The deposit contains example folders for the monoclinic, orthorhombic, trigonal, tetragonal, hexagonal and cubic lattices. The purpose of this deposit is to provide examples for the toolkit users.

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    This dataset comprises ECLIPSE input decks for a 3D reservoir simulation of the CO2 plume at the Sleipner CO2 injection site. This whole reservoir model is an attempt to history match the growth of the plume observed on seismic data. A seismic velocity and density model derived from the 3D reservoir simulation is also included, together with a series of Seismic Unix scripts to create a synthetic seismic section through the Sleipner reservoir model, for comparison with released time-lapse seismic data.

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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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    The download .rar file contains a groundwater model of the coastal aquifer in Kwale County, Kenya (ModelMuse Text File) produced by Dr Nuria Ferrer and Dr Albert Folch at the Universitat Politècnica de Catalunya. The model can be used to explore future climate and groundwater abstraction scenarios to provide management recommendations. The download does not include proprietary abstraction data from industry project partners, thus running the model provided here will not reproduce published research findings. The file named”np67IH.bhd” are the initial heads file required to run the model.

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    UKCCSRC Call 2 Project C2-197 - The dataset comprises a series of ECLIPSE 100 input decks describing reservoir models of potential CO2 storage sites in the Southern North Sea and East Irish Sea offshore UK. The models were developed to test the effect of relative permeability hysteresis on the geological storage of CO2. The models incorporate new relative permeability datasets measured by Imperial College, London as part of the CO2MULTISCALE project.

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    Open source modeling code, with which all data were generated: https://github.com/kuangdai/AxiSEM-3D This code was primarily developed within the NERC-funded project, and used for a at least 10 publications over the past two years: [1] Wolf, Long, Leng, Nissen-Meyer. Sensitivity of SK(K)S and ScS phases to heterogeneous anisotropy in the lowermost mantle from global wavefield simulations, 2021. GJI, 228, 366–386, https://doi.org/10.1093/gji/ggab347 [2] Krier, Thorne, Leng, Nissen-Meyer: A compositional component to the Samoa ultralow-velocity zone revealed through 2- and 3-D waveform modeling of SKS and SKKS differential travel-times and amplitudes, Journal of Geophysical Research. doi:10.1029/2021JB021897 [3] Thorne, M. S., Leng, K., Pachhai, S., Rost, S., Wicks, J., & Nissen-Meyer, T. (2021). The most parsimonious ultralow-velocity zone distribution from highly anomalous SPdKS waveforms. Geochemistry, Geophysics, Geosystems, 22, e2020GC009467. https://doi.org/10.1029/2020GC009467 [4] Haindl, Leng, Nissen-Meyer, 2021. A 3D Complexity-Adaptive Approach to Explore Sparsity in Visco-Elastic Wave Propagation, Geophysics, doi.org/10.1190/geo2020-0490.1 [5] Tesoniero, Leng, Long, Nissen-Meyer. Full wave sensitivity of SK(K)S phases to arbitrary anisotropy in the upper and lower mantle, Geophysical Journal International, 222, 412–435, https://doi.org/10.1093/gji/ggaa171 [6] Thorne, M.S.; Pachhai, S.; Leng, K.; Wicks, J.K.; Nissen-Meyer, T, 2020. New Candidate Ultralow-Velocity Zone Locations from Highly Anomalous SPdKS Waveforms. Minerals 2020, 10, 211. [7] Fernando, Leng, Nissen-Meyer, 2020. Oceanic high-frequency global seismic wave propagation with realistic bathymetry, Geophysical Journal International, 222, 1178–1194, https://doi.org/10.1093/gji/ggaa248 [8] Leng, Korenaga, Nissen-Meyer, 2020. Three-dimensional scattering of elastic waves by small-scale heterogeneities in the Earth’s mantle, Geophysical Journal International, 223, 1, 502–525, https://doi.org/10.1093/gji/ggaa331 [9] Szenicer, Leng, Nissen-Meyer, 2020. A complexity-driven framework for waveform tomography with discrete adjoints, Geophysical Journal International, https://doi.org/10.1093/gji/ggaa349 [10] Leng, Nissen-Meyer, van Driel, Hosseini, Al-Attar, 2019. AxiSEM3D: broad-band seismic wavefields in 3-D global earth models with undulating discontinuities, Geophysical J Int., 217, 2125–2146 Each of publications is based on the code mentioned above, and metadata for running the simulations of the papers are given therein, in a reproducible manner.

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    Experimental results used to parameterise and a test a mathematical model of uranium diffusion and reaction in soil. The exeperiments and model are described in Darmovzalova J., Boghi A., Otten W., Eades, L., Roose T. & Kirk G.J.D. (2019) Uranium diffusion and time-dependent adsorption-desorption in soil: a model and experimental testing of the model. Eur. J. Soil Sci., doi: 10.1111/ejss.12814. The research was funded by NERC, Radioactive Waste Management Ltd and the Environment Agency through the Radioactivity and the Environment (RATE) programme (Grant Ref NE/L000288/1, Long-lived Radionuclides in the Surface Environment (LO-RISE)).