This seismic data set was acquired in 2016 by a joint effort of several partners. A detailed field report by Townend et al. (2016) describes the field procedures and available data. Please see the included pdf-file for more details.

13 datafiles of the digital database

This collection belongs to the doctoral thesis "Nonlinear Parameter Estimation of Experimental Cake Filtration Data". Most of the content are Jupyter notebooks which contain the Python code which reproduces graphs found in the thesis from the original experimental data. The lab practice dataset that contains 500 filtration experiments is contained in the folder for section 3.5. The notebooks are not strictly sorted by section. At any rate, the Readme will guide you to the notebook which produces a certain graph, if it is not part of the main notebook of that specific section. The original Python environment was set up with Anaconda. Please use the provided .yml file to create a Python environment which contains all the necessary packages. Some notebooks may not work with the most current versions of the packages, so updating is not necessarily a good idea.

including - 1 LARGE sample with low-resolution data (micro-CT, VERSA510) - splitted in I, II, III, IV, V - 3 SUB-Samples MEDIUM-resolution (cutted down from above LARGE sample, scanned with micro-CT, ZEISS VERSA510) - 3 SUB-Samples HIGH-resolution (same as MEDIUM, scanned with nano-CT, ZEISS ULTRA810)

Glass Particles (soda-lime glass), particle size distribution 5 to 50 µm