Data and figures for the manuscript “Performance of Deep Learning pickers in routine network processing application”. The dataset includes: - phase arrival times of P and S waves for 3 test datasets obtained using different Deep Learning pickers - figures showing the results of the comparisons between Deep Learning pickersComputer resources for this study have been provided by Artemisa, funded by the European Union ERDF and Comunitat Valenciana. Additional funding has been obtained from Spanish Ministry of Science and Innovation grants CGL2017-88864-R, PID2020-114682RB-C31, and Center of Excellence Severo Ochoa accreditation to ICM-CSIC (Project CEX2019-000928-S)Peer reviewe
Over the past two decades, the amount of available seismic data has increased significantly, fueling...
Over recent years, frequent earthquakes have caused huge losses in human life and property. Rapid an...
ICM-CRM Meeting 2023: New Bridges between Marine Sciences and Mathematics, 2-10 November 2023The fie...
14 pages, 9 figures, 3 tablesPicking arrival times of P and S phases is a fundamental and time‐consu...
The increase of available seismic data prompts the need for automatic processing procedures to fully...
Deep-learning (DL) pickers have demonstrated superior performance in seismic phase picking compared ...
Seismic event detection and phase picking are the base of many seismological workflows. In recent ye...
The authors here present a deep learning model that simultaneously detects earthquake signals and me...
Detecting phase arrivals and pinpointing the arrival times of seismic phases in seismograms is cruci...
International audienceAbstract Seismology is one of the main sciences used to monitor volcanic activ...
This dataset contains the associated phase picks and event information from applying a deep learning...
This data set contains phase arrival times and phase labels for one hour of continuous seismic data ...
Since March 2016 a small network of 11 seismic stations, deployed by Istituto Nazionale di Geofisica...
Seismic event detection and phase picking are the base of many seismological workflows. In recent ye...
In the recent period, machine learning approaches have been widely used in many different fields. Fo...
Over the past two decades, the amount of available seismic data has increased significantly, fueling...
Over recent years, frequent earthquakes have caused huge losses in human life and property. Rapid an...
ICM-CRM Meeting 2023: New Bridges between Marine Sciences and Mathematics, 2-10 November 2023The fie...
14 pages, 9 figures, 3 tablesPicking arrival times of P and S phases is a fundamental and time‐consu...
The increase of available seismic data prompts the need for automatic processing procedures to fully...
Deep-learning (DL) pickers have demonstrated superior performance in seismic phase picking compared ...
Seismic event detection and phase picking are the base of many seismological workflows. In recent ye...
The authors here present a deep learning model that simultaneously detects earthquake signals and me...
Detecting phase arrivals and pinpointing the arrival times of seismic phases in seismograms is cruci...
International audienceAbstract Seismology is one of the main sciences used to monitor volcanic activ...
This dataset contains the associated phase picks and event information from applying a deep learning...
This data set contains phase arrival times and phase labels for one hour of continuous seismic data ...
Since March 2016 a small network of 11 seismic stations, deployed by Istituto Nazionale di Geofisica...
Seismic event detection and phase picking are the base of many seismological workflows. In recent ye...
In the recent period, machine learning approaches have been widely used in many different fields. Fo...
Over the past two decades, the amount of available seismic data has increased significantly, fueling...
Over recent years, frequent earthquakes have caused huge losses in human life and property. Rapid an...
ICM-CRM Meeting 2023: New Bridges between Marine Sciences and Mathematics, 2-10 November 2023The fie...