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  Fast earthquake assessment dataset for Chile

Münchmeyer, J., Bindi, D., Leser, U., Tilmann, F. (2021): Fast earthquake assessment dataset for Chile.
https://doi.org/10.5880/GFZ.2.4.2021.002

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 Urheber:
Münchmeyer, J.1, 2, Autor              
Bindi, Dino2, 3, Autor              
Leser, Ulf2, 4, Autor
Tilmann, Frederik1, 2, Autor              
Affiliations:
12.4 Seismology, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_30023              
2IPOC, External Organizations, ou_2634889              
32.6 Seismic Hazard and Risk Dynamics, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146032              
4External Organizations, ou_persistent22              

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Schlagwörter: seismology, earthquake, machine learning, real time assessment, IPOC, Integrated Plate Boundary Observatory Chile
 Zusammenfassung: The data publication contains a dataset for fast assessment of earthquakes based on seismic waveforms. The dataset encompasses Northern Chile. Due to the large scale of the dataset, it is intended for use in machine learning. A similar dataset for chile has been published as Münchmeyer et al. (2020). A similar dataset for Japan can be obtained using the scripts at https://github.com/yetinam/TEAM The datasets are provided as a hdf5-file (Folk et al. 2011), a hierachical file format. Source code for reading and processing the data is available at https://github.com/yetinam/TEAM. The hdf5-file contains the two groups “metadata” and “data” that are described below. These groups are the hdf5-analog of folders in a file system.

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Sprache(n): eng - Englisch
 Datum: 2021
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: Potsdam : GFZ Data Services
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.5880/GFZ.2.4.2021.002
 Art des Abschluß: -

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