Seismic Data – Research and Impact
A special issue of Data (ISSN 2306-5729).
Deadline for manuscript submissions: closed (30 November 2019) | Viewed by 3482
Special Issue Editor
Special Issue Information
Dear Colleagues,
Seismic data are produced or collected by geophysical scientists in different ways to study the Earth’s environmental problems. Although online seismic data are accessible across the globe, there is a lack of a unique platform that enables scientists to share the data produced locally. Such a lack of scientific data communication has limited researchers to share datasets in a professional and credible manner. A large portion of innovative and novel ideas cannot be realized due to the unavailability of data, and scientific findings cannot be retested and verified, because data have been always kept as “dark-stored data”.
Owing to the significant efforts to support reproducible research and credible scientific data, researchers may publish their data in the scientific media and publicize their data collection and data processing efforts. There are two groups of seismic data that are encouraged to be shared with other scholars: (1) original seismic data, which have been generated from scratch, and (2) secondary data produced as outcome of the initial data processing. In recent years, scientific communities have attempted to make their data transparent, so that the behind-the-scenes data is also shared and published.
The editor is willing to invite you to submit articles addressing the process of seismological data collection, acquisition, processing, and management, so that these data will be (re)used by other scholars and add value to the preliminary published results from them. Seismic waveforms and hypocentral datasets include, but are not limited to, data and methods.
Dr. Masaki Kanao
Guest Editor
Manuscript Submission Information
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Keywords
- seismic data
- waveforms, hypocenters
- geophysical database
- global, regional, and local networks
- project oriented data
- seismic arrays
- telescience engineering
- realtime monitoring
- disaster prevention parameters
- early warning system