Seismology Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science

Author:

Li Lei1ORCID,Wong Wing Ching Jeremy2,Schwarz Benjamin3ORCID,Lau Tsz Lam4

Affiliation:

1. Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Central South University

2. Scripps Institution of Oceanography, University of California San Diego

3. GFZ German Research Centre for Geosciences

4. The Chinese University of Hong Kong

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Publisher

Wiley

Reference40 articles.

1. AAAS (The American Association for the Advancement of Science). (2021). 125 questions: Exploration and discovery. Washington DC: Science/AAAS Custom Publishing Office. Retrieved from https://www.sciencemag.org/collections/125-questions-exploration-anddiscovery

2. Foundations for a multiscale collaborative Earth model;Afanasiev M.;Geophysical Journal International,2016

3. Bergen K. J. Johnson P. A. de Hoop M. V. & Beroza G. C. (2019). Machine learning for data-driven discovery in solid Earth geoscience. Science 363(6433) eaau0323. https://doi.org/10.1126/science.aau0323

4. A scientific framework for active and passive seismic imaging, with applications to blended data and micro-earthquake responses;Berkhout A. J.;Geophysical Journal International,2011

5. ObsPy: A Python Toolbox for Seismology;Beyreuther M.;Seismological Research Letters,2010

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