VSR Databases used in article "Standardization of noisy volcano-seismic waveforms as a key step towards station-independent, robust automatic recognition"
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 (h...
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Online Access: | https://dx.doi.org/10.5281/zenodo.1307436 https://zenodo.org/record/1307436 |
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ftdatacite:10.5281/zenodo.1307436 2023-05-15T13:57:26+02:00 VSR Databases used in article "Standardization of noisy volcano-seismic waveforms as a key step towards station-independent, robust automatic recognition" Moreno, Guillermo Cortés Carniel, Roberto Mendoza, Maria Ángeles Lesage, Philippe 2018 https://dx.doi.org/10.5281/zenodo.1307436 https://zenodo.org/record/1307436 en eng Zenodo https://dx.doi.org/10.1785/0220180334 https://dx.doi.org/10.5281/zenodo.1307437 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY Volcano-Seismic Recognition Deception Island Waveform standardisation Machine Learning Automatic classification Hidden Markov Models Empirical Mode Decomposition VULCAN.ears dataset Dataset 2018 ftdatacite https://doi.org/10.5281/zenodo.1307436 https://doi.org/10.1785/0220180334 https://doi.org/10.5281/zenodo.1307437 2021-11-05T12:55:41Z 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). : 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 : {"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."]} Dataset Antarc* Antarctica Deception Island International Polar Year DataCite Metadata Store (German National Library of Science and Technology) Carmona ENVELOPE(-62.917,-62.917,-64.900,-64.900) Deception Island ENVELOPE(-60.633,-60.633,-62.950,-62.950) Moreno ENVELOPE(-62.300,-62.300,-64.083,-64.083) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Volcano-Seismic Recognition Deception Island Waveform standardisation Machine Learning Automatic classification Hidden Markov Models Empirical Mode Decomposition VULCAN.ears |
spellingShingle |
Volcano-Seismic Recognition Deception Island Waveform standardisation Machine Learning Automatic classification Hidden Markov Models Empirical Mode Decomposition VULCAN.ears Moreno, Guillermo Cortés Carniel, Roberto Mendoza, Maria Ángeles Lesage, Philippe VSR Databases used in article "Standardization of noisy volcano-seismic waveforms as a key step towards station-independent, robust automatic recognition" |
topic_facet |
Volcano-Seismic Recognition Deception Island Waveform standardisation Machine Learning Automatic classification Hidden Markov Models Empirical Mode Decomposition VULCAN.ears |
description |
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). : 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 : {"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."]} |
format |
Dataset |
author |
Moreno, Guillermo Cortés Carniel, Roberto Mendoza, Maria Ángeles Lesage, Philippe |
author_facet |
Moreno, Guillermo Cortés Carniel, Roberto Mendoza, Maria Ángeles Lesage, Philippe |
author_sort |
Moreno, Guillermo Cortés |
title |
VSR Databases used in article "Standardization of noisy volcano-seismic waveforms as a key step towards station-independent, robust automatic recognition" |
title_short |
VSR Databases used in article "Standardization of noisy volcano-seismic waveforms as a key step towards station-independent, robust automatic recognition" |
title_full |
VSR Databases used in article "Standardization of noisy volcano-seismic waveforms as a key step towards station-independent, robust automatic recognition" |
title_fullStr |
VSR Databases used in article "Standardization of noisy volcano-seismic waveforms as a key step towards station-independent, robust automatic recognition" |
title_full_unstemmed |
VSR Databases used in article "Standardization of noisy volcano-seismic waveforms as a key step towards station-independent, robust automatic recognition" |
title_sort |
vsr databases used in article "standardization of noisy volcano-seismic waveforms as a key step towards station-independent, robust automatic recognition" |
publisher |
Zenodo |
publishDate |
2018 |
url |
https://dx.doi.org/10.5281/zenodo.1307436 https://zenodo.org/record/1307436 |
long_lat |
ENVELOPE(-62.917,-62.917,-64.900,-64.900) ENVELOPE(-60.633,-60.633,-62.950,-62.950) ENVELOPE(-62.300,-62.300,-64.083,-64.083) |
geographic |
Carmona Deception Island Moreno |
geographic_facet |
Carmona Deception Island Moreno |
genre |
Antarc* Antarctica Deception Island International Polar Year |
genre_facet |
Antarc* Antarctica Deception Island International Polar Year |
op_relation |
https://dx.doi.org/10.1785/0220180334 https://dx.doi.org/10.5281/zenodo.1307437 |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5281/zenodo.1307436 https://doi.org/10.1785/0220180334 https://doi.org/10.5281/zenodo.1307437 |
_version_ |
1766265111423483904 |