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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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 |
_version_ |
1766036176913825792 |