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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 in the Seismological Research Letters (https://doi.org/10.1785/0220180334). The authors want to thank everyone 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 and innovation programme under the Marie Sklodowska-Curie Grant Agreement No.[749249] (VULCAN.ears).
{"references": ["Ben\u0131\u0301tez, C., J. Ram\u0131\u0301rez, J. C. Segura, J. Ib\u00e1\u00f1ez, J. Almendros, A. Garc\u0131\u0301a-Yeguas, and G. Cort\u00e9s (2007), Continuous HMM-based seismic-event classification at De- ception Island, Antarctica, IEEE Trans. Geosci. Remote Sens., 45 (1), 138\u2013146, doi:10.1109/TGRS.2006.882264.", "Carmona, E., J. Almendros, R. Mart\u0131\u0301n, G. Cort\u00e9s, G. Alguacil, J. Moreno, J. B. Mart\u0131\u0301n, A. Martos, I. Serrano, D. Stich, et al. (2014), Advances in seismic moni- toring at Deception Island volcano (Antarctica) since the International Polar Year, Annals of Geophysics, 57 (3), doi:10.4401/ag-6378."]}
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
Machine Learning, Waveform standardisation, Automatic classification, Empirical Mode Decomposition, Volcano-Seismic Recognition, VULCAN.ears, Deception Island, Hidden Markov Models
Machine Learning, Waveform standardisation, Automatic classification, Empirical Mode Decomposition, Volcano-Seismic Recognition, VULCAN.ears, Deception Island, Hidden Markov Models
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