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Data · dataset · 2024

AI based 1D P & S-wave Velocity Models for the Greater Alpine Region from Local Earthquake Data

Listed in RADAR and RADAR4Memory — shown once because both records carry DOI 10.35097/1965

The recent rapid improvement of machine learning techniques had a large impact on the way seismological data can be processed.

Description

During the last years several machine learning algorithms determining seismic onset times have been published facilitating the automatic picking of large data sets. Here we apply the deep neural network PhaseNet to a network of over 900 permanent and temporal broad band stations that were deployed as part of the AlpArray research initiative in the Greater Alpine Region (GAR) during 2016-2020.

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Where it is published

Catalogue records · 1

Topics

Provenance · 2 source records, 10 field assertions
SourceKeyLast seenRaw
RADAR10.35097/19659 d agoJSON v1
RADAR4Memory10.35097/19659 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · radar service eu deconnector:radar_service_eu_de@1.0.0
concepts[field].anzsrc:field:370609enrichment · radar service eu detaxonomy-embedding@1.1.0title+keywords+description (76%)
concepts[field].local:field:earth-environmentalmapping · radar service eu deconnector:radar_service_eu_de@1.0.0
concepts[field].local:field:earth-environmentalmapping · radar4memory radar service euconnector:radar4memory_radar_service_eu@1.0.0
concepts[field].local:field:physicsmapping · radar service eu deconnector:radar_service_eu_de@1.0.0
concepts[field].local:field:physicsmapping · radar4memory radar service euconnector:radar4memory_radar_service_eu@1.0.0
descriptionsource · radar service eu deconnector:radar_service_eu_de@1.0.0/metadata/dc/description
licensesource · radar service eu deconnector:radar_service_eu_de@1.0.0/metadata/dc/rights
publication_datesource · radar service eu deconnector:radar_service_eu_de@1.0.0
titlesource · radar service eu deconnector:radar_service_eu_de@1.0.0/metadata/dc/title