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BayesValidRox is an open-source python package that provides methods for surrogate modeling, Bayesian inference and model comparison. Release 2.0.0 improves the modularity and uniformity of the package and introduces template classes for surrogate models and methods for generating posterior samples.(2025-02-05)

This data set contains two micro X-ray Computed Tomography (micro-XRCT) data sets resulting from region of interest scans (diameter 58.32 mm, height 46.06 mm) of the center region of a stone mastic asphalt (SMA) drill core. The drill core was scanned with identical scanner settings before ("reconstructed_20200429_01.tar.gz") and after ("reconstructed_20201015_01.tar.gz") a uniaxial compression test.The sample had a diameter of 75.12 mm and a height of 70.93 mm before, respectively a diameter of 78.05 mm and a height of 67.11 mm after the compression test (measured by caliper). The asphalt mixture is a stone mastic asphalt with a nominal maximum aggregate size (NMAS) of 11 mm (SMA 11 S). It contains diabase aggregates and a 50/70 bitumen binder. The material is described in detail by Hu et al. (2017).The compression test was performed by controlling the load with the following procedure: Starting the measurement at a contact load of 10 N. Increasing the load to 500 N (stress around 0.11 N/mm2) with a speed of 100 mm/min. Holding the load at 500 N (stress around 0.11 N/mm2) for 600 s. Increasing the load by another 500 N (stress around 0.11 N/mm2) with a speed of 100 mm/min and holding it for 600 s. Repeating the procedure of adding load in 500 N (stress around 0.11 N/mm2) increments, until the maximum load of 5000 N (stress around 1.13 N/mm2) is reached and held for 600 s.During the test, time (s), distance (mm), and load (N) were logged at regular […]