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The Station Information System (SIS): A centralized seismic station repository for populating, managing, and distributing metadata

November 22, 2017

Creating, maintaining, and archiving accurate station metadata is critical for successful seismic network operations, data discovery, and research. The Station Information System (SIS) is a centralized repository of seismic station equipment inventory, instrument response, and site information of stations operated by regional seismic networks (RSNs) of the Advanced National Seismic System (ANSS; Filson and Arabasz, 2017). It has a web‐based user interface that enables the creation and manipulation of the corresponding metadata. The system can track the installation, maintenance, and removal of equipment from a site, which often results in the creation of new metadata epochs. SIS also computes the overall response, including gain, of a data channel by combining the responses of the underlying hardware components. SIS distributes this information in standard formats such as Federation of Digital Seismic Networks StationXML and dataless Standard for the Exchange of Earthquake Data. SIS can also be used to manage inventory of field equipment such as power, telemetry, or Global Positioning System antenna, as well as links to other site‐related repositories external to SIS to give the network operator the most complete view of a site and the overall network. This article summarizes the main features in SIS. We present its basic infrastructure, holdings, workflow, and how RSNs retrieve data from it. We also explain the reasoning to pursue one centralized repository and why it supports the goals of SIS and the ANSS. We demonstrate that by providing the ANSS network operator with a comprehensive site view, SIS enables the production of high‐quality metadata, a necessary prerequisite for producing high‐quality seismic data.

Publication Year 2018
Title The Station Information System (SIS): A centralized seismic station repository for populating, managing, and distributing metadata
DOI 10.1785/0220170130
Authors Ellen Yu, Prabha Acharya, Justin Jaramillo, Sue Kientz, Valerie Thomas, Egill Hauksson
Publication Type Article
Publication Subtype Journal Article
Series Title Seismological Research Letters
Index ID 70236704
Record Source USGS Publications Warehouse
USGS Organization Earthquake Science Center