Marsch, Kristofer2020-02-042020-02-042020-02-01https://depositonce.tu-berlin.de/handle/11303/10692http://dx.doi.org/10.14279/depositonce-9592This data is supplementary material for a study submitted to "Rock Mechanics Rock Engineering" journal under the title “Comparative evaluation of statistical and fractal approaches for JRC calculation based on a large dataset of natural rock traces” (Marsch K, Fernandez-Steeger TM 2020).There exist many mathematical approaches for the determination of surface roughness in the context of rock engineering. Unfortunately, in most publications on that topic the evaluation algorithms are not fully disclosed. This makes it almost impossible to reproduce and verify prior findings. Even achieving an acceptable accordance is labour-intensive. Therefore, this data submission offers some statistical and fractal algorithms readily implemented as Matlab scripts for further use. This enables interested parties to fully retrace the findings of the study. Additionally, all six surface scans used in the study are also available here, accompanied by the ready-for-use over 40,000 profile traces from them.en550 Geowissenschaften629 Andere Fachrichtungen der Ingenieurwissenschaftencompass walkingFFTspectral analysisRMS correlationbox countingZ2statistical roughness parameterfractal roughness parametershear strengthJRCjoint roughness coefficientBarton-criterionGeneric Research Data