EIDA: The European Integrated Data Archive and Service Infrastructure within ORFEUS
Author(s)
Language
English
Obiettivo Specifico
4IT. Banche dati
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
Issue/vol(year)
3/92 (2021)
ISSN
0895-0695
Publisher
SSA
Pages (printed)
1788-1795
Date Issued
March 31, 2021
Subjects
Abstract
The European Integrated Data Archive (EIDA) is the infrastructure that provides access to the seismic‐waveform archives collected by European agencies. This distributed system is managed by Observatories and Research Facilities for European Seismology. EIDA provides seamless access to seismic data from 12 data archives across Europe by means of standard services, exposing data on behalf of hundreds of network operators and research organizations. More than 12,000 stations from permanent and temporary networks equipped with seismometers, accelerometers, pressure sensors, and other sensors are accessible through the EIDA federated services. A growing user base currently counting around 3000 unique users per year has been requesting data and using EIDA services. The EIDA system is designed to scale up to support additional new services, data types, and nodes. Data holdings, services, and user numbers have grown substantially since the establishment of EIDA in 2013. EIDA is currently active in developing suitable data management approaches for new emerging technologies (e.g., distributed acoustic sensing) and challenges related to big datasets. This article reviews the evolution of EIDA, the current data holdings, and service portfolio, and gives an outlook on the current developments and the future envisaged challenges.
References
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Evans P. Strollo A. Clark A. Ahern T. Newman R. Clinton J. F. Pedersen H., and Pequegnat C. 2015. Why seismic networks need digital object identifiers, Eos Trans. AGU 96, doi: https://doi.org/10.1029/2015EO036971.
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Hetényi G. Molinari I. Clinton J. Bokelmann G. Bondár I. Crawford W. C. Dessa J. X. Doubre C. Friederich W., and Fuchs F., et al. 2018. The AlpArray seismic network: A large‐scale European experiment to image the alpine orogen, Surv. Geophys. 39, 1009–1033, doi: https://doi.org/10.1007/s10712-018-9472-4.
Quinteros J. 2017. Routing Service: A data centre federation for the seismological community, GFZ German Research Centre for Geosciences, doi: https://doi.org/10.5880/gfz.2.4.2017.001.
Quinteros J. Carter J. A. Schaeffer J. Trabant C., and Pedersen H. A. 2021. Exploring approaches for large data in seismology: User and data repository perspectives, Seismol. Res. Lett. , doi: https://doi.org/10.1785/0220200390.
Trani L. Koymans M. Atkinson M. Sleeman R., and Filgueira R. 2017. WFCatalog: A catalogue for seismological waveform data, Comput. Geosci. 106, doi: https://doi.org/10.1016/j.cageo.2017.06.008.
Wilkinson M. Dumontier M. Aalbersberg I. Appleton G. Axton M. Baak A. Blomberg N. Boiten J. W. da Silva Santos L. B., and Bourne P. E. 2016. The FAIR guiding principles for scientific data management and stewardship, Sci. Data 3, Article Number 160018, doi: https://doi.org/10.1038/sdata.2016.18.
Beyreuther M. Barsch R. Krischer L. Megies T. Behr Y., and Wassermann J. 2010. ObsPy: A python toolbox for seismology, Seismol. Res. Lett. 81, no. 3, 530–533, doi: https://doi.org/10.1785/gssrl.81.3.530.
Bianchi M. Evans P. L. Heinloo A., and Quinteros J. 2015. WebDC3 web interface, GFZ Data Services, doi: https://doi.org/10.5880/GFZ.2.4/2016.001.
Casey R. Templeton M. E. Sharer G. Keyson L. Weertman B. R., and Ahern T. 2018. Assuring the quality of IRIS data with MUSTANG, Seismol. Res. Lett. 89, no. 2A, 630–639, doi: https://doi.org/10.1785/0220170191.
Evans P. Strollo A. Clark A. Ahern T. Newman R. Clinton J. F. Pedersen H., and Pequegnat C. 2015. Why seismic networks need digital object identifiers, Eos Trans. AGU 96, doi: https://doi.org/10.1029/2015EO036971.
Helmholtz Centre Potsdam‐GFZ German Research Centre for Geosciences GEMPA GmbH (2008). The SeisComP seismological software package, GFZ Data Services, doi: https://doi.org/10.5880/GFZ.2.4.2020.003.
Hetényi G. Molinari I. Clinton J. Bokelmann G. Bondár I. Crawford W. C. Dessa J. X. Doubre C. Friederich W., and Fuchs F., et al. 2018. The AlpArray seismic network: A large‐scale European experiment to image the alpine orogen, Surv. Geophys. 39, 1009–1033, doi: https://doi.org/10.1007/s10712-018-9472-4.
Quinteros J. 2017. Routing Service: A data centre federation for the seismological community, GFZ German Research Centre for Geosciences, doi: https://doi.org/10.5880/gfz.2.4.2017.001.
Quinteros J. Carter J. A. Schaeffer J. Trabant C., and Pedersen H. A. 2021. Exploring approaches for large data in seismology: User and data repository perspectives, Seismol. Res. Lett. , doi: https://doi.org/10.1785/0220200390.
Trani L. Koymans M. Atkinson M. Sleeman R., and Filgueira R. 2017. WFCatalog: A catalogue for seismological waveform data, Comput. Geosci. 106, doi: https://doi.org/10.1016/j.cageo.2017.06.008.
Wilkinson M. Dumontier M. Aalbersberg I. Appleton G. Axton M. Baak A. Blomberg N. Boiten J. W. da Silva Santos L. B., and Bourne P. E. 2016. The FAIR guiding principles for scientific data management and stewardship, Sci. Data 3, Article Number 160018, doi: https://doi.org/10.1038/sdata.2016.18.
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