CGF-Svalbard ...
This data set contains distributed acoustic sensing data collected during February 2023. It contains resampled strain data in strain unit measured by one OptoDAS interrogator through a dark fiber in a submarine telecommunication cable, which was trenched into soft sediments at 0-2 m below the seaflo...
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International Federation of Digital Seismograph Networks
2023
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Online Access: | https://dx.doi.org/10.7914/1b8m-rj75 https://www.fdsn.org/networks/detail/X2_2023/ |
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ftdatacite:10.7914/1b8m-rj75 2023-06-11T04:13:51+02:00 CGF-Svalbard ... Robin André Rørstadbotnen Martin Landrø 2023 SEED data https://dx.doi.org/10.7914/1b8m-rj75 https://www.fdsn.org/networks/detail/X2_2023/ unknown International Federation of Digital Seismograph Networks Seismic Network dataset Dataset 2023 ftdatacite https://doi.org/10.7914/1b8m-rj75 2023-06-01T12:08:50Z This data set contains distributed acoustic sensing data collected during February 2023. It contains resampled strain data in strain unit measured by one OptoDAS interrogator through a dark fiber in a submarine telecommunication cable, which was trenched into soft sediments at 0-2 m below the seafloor from Ny-Ålesund towards Longyearbyen in Svalbard, Norway. The first 50 km of telecommunication cable was interrogated. The data are 152 1-hour segments. Each segment contains an earthquake of magnitude five and above, which has been converted to strain unit. To reduce file sizes, we resampled the raw data with an antialiasing filter from 625 Hz to 100 Hz and extracted channels every 24 m. The archived versions have a total size of 860 GB. A Tukey taper with a taper rate of 0.05 was applied before resampling to avoid artifacts. The processed data are stored as structured arrays in MATLAB file format (.mat). This data set has no exact positioning data of the fiber optic cable because they are proprietary to SIKT. ... Dataset Longyearbyen Ny Ålesund Ny-Ålesund Svalbard DataCite Metadata Store (German National Library of Science and Technology) Longyearbyen Norway Ny-Ålesund Svalbard |
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DataCite Metadata Store (German National Library of Science and Technology) |
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description |
This data set contains distributed acoustic sensing data collected during February 2023. It contains resampled strain data in strain unit measured by one OptoDAS interrogator through a dark fiber in a submarine telecommunication cable, which was trenched into soft sediments at 0-2 m below the seafloor from Ny-Ålesund towards Longyearbyen in Svalbard, Norway. The first 50 km of telecommunication cable was interrogated. The data are 152 1-hour segments. Each segment contains an earthquake of magnitude five and above, which has been converted to strain unit. To reduce file sizes, we resampled the raw data with an antialiasing filter from 625 Hz to 100 Hz and extracted channels every 24 m. The archived versions have a total size of 860 GB. A Tukey taper with a taper rate of 0.05 was applied before resampling to avoid artifacts. The processed data are stored as structured arrays in MATLAB file format (.mat). This data set has no exact positioning data of the fiber optic cable because they are proprietary to SIKT. ... |
format |
Dataset |
author |
Robin André Rørstadbotnen Martin Landrø |
spellingShingle |
Robin André Rørstadbotnen Martin Landrø CGF-Svalbard ... |
author_facet |
Robin André Rørstadbotnen Martin Landrø |
author_sort |
Robin André Rørstadbotnen |
title |
CGF-Svalbard ... |
title_short |
CGF-Svalbard ... |
title_full |
CGF-Svalbard ... |
title_fullStr |
CGF-Svalbard ... |
title_full_unstemmed |
CGF-Svalbard ... |
title_sort |
cgf-svalbard ... |
publisher |
International Federation of Digital Seismograph Networks |
publishDate |
2023 |
url |
https://dx.doi.org/10.7914/1b8m-rj75 https://www.fdsn.org/networks/detail/X2_2023/ |
geographic |
Longyearbyen Norway Ny-Ålesund Svalbard |
geographic_facet |
Longyearbyen Norway Ny-Ålesund Svalbard |
genre |
Longyearbyen Ny Ålesund Ny-Ålesund Svalbard |
genre_facet |
Longyearbyen Ny Ålesund Ny-Ålesund Svalbard |
op_doi |
https://doi.org/10.7914/1b8m-rj75 |
_version_ |
1768391256128356352 |