Fibre-optic distributed acoustic sensing data from Reykjanes, Iceland

Imaging the internal structure of faults remains challenging using conventional seismome-ters. Here, the authors use deployed fibre-optic cables to obtain strain data and identify faults and volcanic dykes in Iceland. Such fibre-optic networks are pervasive for telecommu-nication and could be used f...

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Main Authors: Jousset, Philippe, Reinsch, Thomas, Ryberg, Trond, Blanck, Hanna, Clarke, Andy, Aghayev, Rufat, Hersir, Gylfi Páll, Henninges, Jan, Weber, Michael, Krawczyk, Charlotte
Format: Dataset
Language:English
Published: GFZ Data Services 2018
Subjects:
Online Access:https://dx.doi.org/10.5880/gfz.6.2.2018.003
http://dataservices.gfz-potsdam.de/panmetaworks/showshort.php?id=escidoc:3142898
id ftdatacite:10.5880/gfz.6.2.2018.003
record_format openpolar
spelling ftdatacite:10.5880/gfz.6.2.2018.003 2023-05-15T16:46:03+02:00 Fibre-optic distributed acoustic sensing data from Reykjanes, Iceland Jousset, Philippe Reinsch, Thomas Ryberg, Trond Blanck, Hanna Clarke, Andy Aghayev, Rufat Hersir, Gylfi Páll Henninges, Jan Weber, Michael Krawczyk, Charlotte 2018 application/pdf text/csv https://dx.doi.org/10.5880/gfz.6.2.2018.003 http://dataservices.gfz-potsdam.de/panmetaworks/showshort.php?id=escidoc:3142898 en eng GFZ Data Services https://dx.doi.org/10.1038/s41467-018-04860-y https://dx.doi.org/10.1088/1361-6501/aa8ba4 https://dx.doi.org/10.1038/srep36676 CC BY 4.0 http://creativecommons.org/licenses/by/4.0 CC-BY fibre optic cables seismic exploration Iceland natural hazards dataset Dataset 2018 ftdatacite https://doi.org/10.5880/gfz.6.2.2018.003 https://doi.org/10.1038/s41467-018-04860-y https://doi.org/10.1088/1361-6501/aa8ba4 https://doi.org/10.1038/srep36676 2021-11-05T12:55:41Z Imaging the internal structure of faults remains challenging using conventional seismome-ters. Here, the authors use deployed fibre-optic cables to obtain strain data and identify faults and volcanic dykes in Iceland. Such fibre-optic networks are pervasive for telecommu-nication and could be used for hazard assessment. Natural hazard prediction and efficient crustal exploration requires dense seismic observa-tions both in time and space. Seismological techniques provide ground-motion data, whose accuracy depends on sensor characteristics and spatial distribution. In the manuscript Jousset et al. (2018), we demonstrate that strain determination is possible with conventional fibre-optic cables deployed for telecommunication. Extending recently distributed acoustic sensing (DAS) studies, we present high resolution spatially un-aliased broadband strain data. We recorded seismic signals from natural and man-made sources with 4-m spacing along a 15-km-long fibre-optic cable layout on Reykjanes Peninsula, SW Iceland. This data publication contains data used for plotting several figures of Jousset et al. (2018). For further explanation of the data and related processing steps, please refer to Jousset et al. (2018). A theoretical study with respect to the coupling of the cable to the ground has been published by Reinsch et al. (2017). Dataset Iceland DataCite Metadata Store (German National Library of Science and Technology) Reykjanes ENVELOPE(-22.250,-22.250,65.467,65.467)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic fibre optic cables
seismic exploration
Iceland
natural hazards
spellingShingle fibre optic cables
seismic exploration
Iceland
natural hazards
Jousset, Philippe
Reinsch, Thomas
Ryberg, Trond
Blanck, Hanna
Clarke, Andy
Aghayev, Rufat
Hersir, Gylfi Páll
Henninges, Jan
Weber, Michael
Krawczyk, Charlotte
Fibre-optic distributed acoustic sensing data from Reykjanes, Iceland
topic_facet fibre optic cables
seismic exploration
Iceland
natural hazards
description Imaging the internal structure of faults remains challenging using conventional seismome-ters. Here, the authors use deployed fibre-optic cables to obtain strain data and identify faults and volcanic dykes in Iceland. Such fibre-optic networks are pervasive for telecommu-nication and could be used for hazard assessment. Natural hazard prediction and efficient crustal exploration requires dense seismic observa-tions both in time and space. Seismological techniques provide ground-motion data, whose accuracy depends on sensor characteristics and spatial distribution. In the manuscript Jousset et al. (2018), we demonstrate that strain determination is possible with conventional fibre-optic cables deployed for telecommunication. Extending recently distributed acoustic sensing (DAS) studies, we present high resolution spatially un-aliased broadband strain data. We recorded seismic signals from natural and man-made sources with 4-m spacing along a 15-km-long fibre-optic cable layout on Reykjanes Peninsula, SW Iceland. This data publication contains data used for plotting several figures of Jousset et al. (2018). For further explanation of the data and related processing steps, please refer to Jousset et al. (2018). A theoretical study with respect to the coupling of the cable to the ground has been published by Reinsch et al. (2017).
format Dataset
author Jousset, Philippe
Reinsch, Thomas
Ryberg, Trond
Blanck, Hanna
Clarke, Andy
Aghayev, Rufat
Hersir, Gylfi Páll
Henninges, Jan
Weber, Michael
Krawczyk, Charlotte
author_facet Jousset, Philippe
Reinsch, Thomas
Ryberg, Trond
Blanck, Hanna
Clarke, Andy
Aghayev, Rufat
Hersir, Gylfi Páll
Henninges, Jan
Weber, Michael
Krawczyk, Charlotte
author_sort Jousset, Philippe
title Fibre-optic distributed acoustic sensing data from Reykjanes, Iceland
title_short Fibre-optic distributed acoustic sensing data from Reykjanes, Iceland
title_full Fibre-optic distributed acoustic sensing data from Reykjanes, Iceland
title_fullStr Fibre-optic distributed acoustic sensing data from Reykjanes, Iceland
title_full_unstemmed Fibre-optic distributed acoustic sensing data from Reykjanes, Iceland
title_sort fibre-optic distributed acoustic sensing data from reykjanes, iceland
publisher GFZ Data Services
publishDate 2018
url https://dx.doi.org/10.5880/gfz.6.2.2018.003
http://dataservices.gfz-potsdam.de/panmetaworks/showshort.php?id=escidoc:3142898
long_lat ENVELOPE(-22.250,-22.250,65.467,65.467)
geographic Reykjanes
geographic_facet Reykjanes
genre Iceland
genre_facet Iceland
op_relation https://dx.doi.org/10.1038/s41467-018-04860-y
https://dx.doi.org/10.1088/1361-6501/aa8ba4
https://dx.doi.org/10.1038/srep36676
op_rights CC BY 4.0
http://creativecommons.org/licenses/by/4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.5880/gfz.6.2.2018.003
https://doi.org/10.1038/s41467-018-04860-y
https://doi.org/10.1088/1361-6501/aa8ba4
https://doi.org/10.1038/srep36676
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