This is a set of python (3.7.8) scripts to perform preliminary tremor detection from continuous recording of the Mefite d'Ansanto array (Passarelli et al., 2017) and signals characteristic parameters extraction, such as: (a) RMS groud velocity amplitude of the bandpass-filtered and instrument-deconvolved signal; (b) the statistical moments (mean, standard deviation, skewness, kurtosis) of the raw signal amplitude distributions in both the time and frequency domains. The current version of the algorithm consist of 4 steps (python scripts) to run in the following order: 1) ADA_detection.py2) ADA_detection_processing.py3) ADA_merge_catalogue.py4) ADA_parameters_extraction.py This files belong to the Supplement of the article: Panebianco S., Satriano C., Vivone G., Picozzi M., Strollo A., Stabile T.A. (2024). Automated detection and machine learning-based classification of seismic tremors associated with a non-volcanic gas emission (Mefite d'Ansanto, Southern Italy), Geochemistry, Geophysics, Geosystems (in press)