VSR Databases used in article "Standardization of noisy volcano-seismic waveforms as a key step towards station-independent, robust automatic recognition"

• Main Authors: Guillermo Cortés Moreno, Roberto Carniel, Maria Ángeles Mendoza, Philippe Lesage
• Other Authors: Jesús Ibáñez, Javier Almendros
• Format: Other/Unknown Material
• Language: English
• Published: Zenodo 2018
• Subjects: Volcano-Seismic Recognition; Deception Island; Waveform standardisation; Machine Learning; Automatic classification; Hidden Markov Models; Empirical Mode Decomposition; VULCAN.ears
• Online Access: https://doi.org/10.5281/zenodo.1307437

This dataset contains required volcano-seismic waveform DBs ( dec.95M.16c and dec.09U.4c )used in the article: " Standardization of noisy volcano-seismic waveforms as a key step towards station-independent, robust automatic recognition ", published inthe Seismological Research Letters ( https://doi.org/10.1785/0220180334 ). The authors want to thankeveryone at the Instituto Andaluz of Geofísica ( http://iagpds.ugr.es ), precisely to Prof. Jesús Ibáñez and Dr. Javier Almendros, IPs of several research projects which have made possible the monitoring of Deception Island since early 1990s. This project has received funding from the European Union’s Horizon 2020 research andinnovation programme under the Marie Sklodowska-Curie Grant Agreement No.[749249](VULCAN.ears). The *zip file contains for both DBs (dec.95M.16c and dec.09U.4c) the following items: > 'raw' folder: with *.raw (binary) headless data files containing continuous waveform seismograms samples each one coded using 2 bytes of integers and sampled at 50 Hz > 'jpg' folder: related *.jpg picture file of each *.raw data file plotting the seismogram and spectrogram > '.mlf' HTK transcription file: text file with 'labels' (time delimitation and class) of each volcano-seismic event appearing in each *raw files forming the database > '.mlf.info' file: text file containing statistical description of its related