Data for: In-Depth Comparison of Deep Artificial Neural Network Architectures on Seismic Events Classification

This dataset includes the signals that were collected from LAV, one of the seven seismic stations of the Llaima volcano located at the western edge of Andes in Araucania Region (S 38º41' - W 71º44'), Chile. These signals were being recorded from 2010 to 2016, sampled at 100Hz and filtered using a 10th-order Butterworth bandpass filter in range 1-10 Hz to preserve the bandwidth that contains the range of interest. Moreover, it was normalized using their maximal values and labelled by the specialists from the Observatorio Vulcanológico de los Andes Sur (OVDAS) into four classes: Long Period (LP); Tremor (TR); Volcano-Tectonic; and Tectonic (TC). Finally, this data can be used to help to improve the analysis of volcano seismic signals.

This directory contains the following datasets:

SEISMIC EVENTS DATASET

lp.hdf5, tr.hdf5, vt.hdf5, tc.hdf5 - each file contain the correspondig seismic event class
Identifier
DOI https://doi.org/10.17632/dv8nwdd36k.1
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-k4-suio
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:157964
Provenance
Creator Canário, J
Publisher Data Archiving and Networked Services (DANS)
Contributor João Paulo Canário
Publication Year 2020
Rights info:eu-repo/semantics/openAccess; License: https://creativecommons.org/licenses/by-nc/3.0; https://creativecommons.org/licenses/by-nc/3.0
OpenAccess true
Representation
Resource Type Dataset
Discipline Other