Data files have .dat extension and can be opened with Notepad or any basic text editor software. Each file contains details of sample name, dimensions (length and diameter). All deformed samples were pre-prepared cylinders of synthetic neighbourite. Each file contains 11 data column as follows: Time (hours); Time (secs); CP (V); Vol (V); Force(V); Temp (V); Disp(V); Euro disp (mm); Furn T (mV); PoreP (mV); Furnace Power where V= Volts, mV= millivolts. The Calibration sheet (specific to the apparatus used) uploaded together with the data files is required to convert V and mV raw data into values of stress, strain, strain rate, confining pressure and temperature.

This dataset contains numerical model output of a morphodynamic and sedimentological simulation of a large river confluence based loosely on the Jamuna-Ganges junction in Bangladesh. The work was carried out as part of a joint project between the Universities of Birmingham, Southampton and Exeter. "The sedimentology of fluvial megascours" was a scientific research project funded by NERC. One aspect of the project was to undertake numerical simulations (the data described here) with which to compare with river bed bathymetry data (collected using a multibeam echosounder) and sub bottom seismic profiling data (collected using a surface tow boomer and chirp system). The data has been accepted for a publication in the journal 'Sedimentology' which will be published in 2018 with the title 'The Sedimentology of channel confluences'.

The data contains numerical model simulations designed to assess the influence of a) a permeable bed on flow structures above and within the pore spaces of a bed and b) a biofilm streamer on the free flow structure. For the former the data relates to a novel Computational Fluid Dynamics (CFD) model that is able to simulate flow both in the boundary layer flow and Brinkman layer. This allows simultaneous predictions of surface and subsurface flow in one numerical scheme. The analysis is applied to undertake a numerical sensitivity experiment to assess how bed permeability influences flow over bed forms typically found in river channels e.g. dunes. For the latter the data simulates flow around biofilm-streamers in the laminar flow regime. Numerical simulations simulate the flapping motion of a single biofilm streamer. The major thrust of the study is to investigate the impact of changing Reynolds number on hydrodynamic characteristics of the ambient flow and the frequency of biofilm oscillation. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/a1fbdde5-688d-4b48-9293-12ecf5563704

MFIX (Multiphase Flow with Interphase eXchanges) simulation input files and raw particle output files. Description of files 1. The directory "MFIX_Setup" contains the MFIX simulation input files for the two simulations Exp19 and Exp35. (MFIX input file (input and boundary conditions) *mfx & MFIX subroutines (*f) and geometry *stl) 2. The directory "time-averaged_slices" contain the time-average slices as *vtu files for Exp19 and Exp35 that can be opened using Paraview (open-source software). 3. The directory "depth-averaged and time-averaged data" contains the python code that reads the depth- and time-averaged data. Note the simulations were run with MFIX-20. The two simulation (Exp19 and Exp35) are 3D two-fluid model (TFM) numerical simulations of liquid-particle mixture, where the fluid and particles are saline water and silica particles, respectively. The finite-volume method is used to solve the mass, momentum and energy equations of the two phases and the solid-fluid coupling is done using drag and pressure terms. The MFIX code that is modified from the core code from the Department of Energy (DOE) is all present. The missing core code can be downloaded from the DOE department https://mfix.netl.doe.gov/.

Raw mechanical data from currently unpublished sintering experiments using glass beads in a triaxial pressure vessel as well as porosity, permeability results of sintering under constant (uniaxial) load. These experiments will be submitted for publication in the future. All data were collected from 2021 onwards and analysed at LMU Munich. Synthetic glass bead samples are sintered to a target porosity in a furnace to make uniform (homogeneous) porous glass samples, before being cooled, measured for porosity and permeability and then placed in a furnace either: 1) in a uniaxial press; or 2) a triaxial pressure vessel. In 1) a constant load is applied for 3 or 5h; In 2) a hydrostatic or deviatoric stress is applied for variable amount of time while the permeability evolution is constantly measured. These experiments impart physical changes to the porous samples. All samples porosity and permeability (using constant flow rate and nitrogen as a permeating fluid) are also measured post-experiment. Sintered glass beads act as an analogue for magmas. Understanding the evolution of transient porous network in magmas is key to understanding pore pressure evolution in volcanic conduits, which controls effusive-explosive transitions

The data include the following: 1. Simulation input files (parameters used in free energy Lattice Boltzmann simulations). 2. Results from these simulations and the corresponding analysis, as presented in the manuscript "Pore scale modeling of drainage displacement patterns in association with geological sequestration of CO2". Free energy lattice Boltzmann method: A thermodynamically consistent numerical scheme to solve the hydrodynamic equations of motion, associated with two-phase flow at the pore-scale. Simulations were accelerated by using multiple general-purpose graphics processing units (GPGPUs).

MFIX (Multiphase Flow with Interphase eXchanges) simulation input files and raw particle output files. The study was published in Breard, E. C., Fullard, L., & Dufek, J. (2024). Rheology of granular mixtures with varying size, density, particle friction, and flow geometry. Physical Review Fluids, 9(5), 054303. Description of files 1. Input particle input file (*.dat) 2. VELOCITY* and FORCES* files exported at 10 Hz The simulation are all done as pressure-controlled shear cells where the x and z axes are periodic boundaries, and the top and bottom boundaries are solid rough plates. The simulations are split in three types: MONODISPERSE, BIDISPERSE and TRIDISPERSE, where particle size (in mm), is indicated in the naming of the directory. The, in each set of simulation, the naming is with the following structure: 20N_0.0001ms, where the first number indicates the confining pressure (20 Newtons) and the second indicate the top plate moving velocity in the x-direction (0.0001 m/s). Note the simulations were run with MFIX-18. The MFIX code that is modified from the core code from the Department of Energy (DOE) is all present. The missing core code can be downloaded from the DOE department https://mfix.netl.doe.gov/.

Element maps from 5x 10 cm sections generated using the Zeiss Sigma HD Field Emission Gun Analytical SEM at Cardiff University. Maps come from sections within the early Miocene pelagic interval situated directly below the Nicobar Fan succession at IODP Site U1480 in the Eastern Equatorial Indian Ocean (for more information see published report, https://doi.org/10.1016/j.epsl.2017.07.019). These specific sections were chosen to examine the depositional environments associated with transitions from red clays to white chalk, which demonstrate distinct banding at the micro and macro scale.

This dataset includes raw point cloud data from repeat terrestrial laser scans (TLS) for a field of protodunes that initiated and developed on a desert gravel interdune surface close to Helga's dune at Gobabeb, Namibia. As well as the TLS data, additional measurements of the wind speed through a CSAT 3D sonic anemometer and sediment transport using a Sensit.

This dataset includes raw point cloud data from repeat terrestrial laser scans (TLS) of rippled surfaces on barchan and dome dunes within the Huab Dune Field, Skeleton Coast National Park, Namibia. This raw data can be used to extract saltation height dynamics as well as 3D ripple data including celerity. As well as the TLS data, additional measurements of the wind speed through a CSAT 3D sonic anemometer or cup anemometer and sediment transport using a Sensit and Wenglor gate sensor.