Replication data for DAS4Microseism - Svalbard distributed acoustic sensing (DAS) strain data for oceanographic study (doi:10.18710/VPRD2H)
(DAS4Microseism)

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Document Description

Citation

Title:

Replication data for DAS4Microseism - Svalbard distributed acoustic sensing (DAS) strain data for oceanographic study

Identification Number:

doi:10.18710/VPRD2H

Distributor:

DataverseNO

Date of Distribution:

2022-02-28

Version:

1

Bibliographic Citation:

Taweesintananon, Kittinat; Landrø, Martin, 2022, "Replication data for DAS4Microseism - Svalbard distributed acoustic sensing (DAS) strain data for oceanographic study", https://doi.org/10.18710/VPRD2H, DataverseNO, V1

Study Description

Citation

Title:

Replication data for DAS4Microseism - Svalbard distributed acoustic sensing (DAS) strain data for oceanographic study

Alternative Title:

DAS4Microseism

Identification Number:

doi:10.18710/VPRD2H

Authoring Entity:

Taweesintananon, Kittinat (NTNU – Norwegian University of Science and Technology)

Landrø, Martin (NTNU – Norwegian University of Science and Technology)

Producer:

NTNU – Norwegian University of Science and Technology

Distributor:

DataverseNO

Distributor:

NTNU – Norwegian University of Science and Technology

Access Authority:

Taweesintananon, Kittinat

Depositor:

Taweesintananon, Kittinat

Date of Deposit:

2022-02-23

Holdings Information:

https://doi.org/10.18710/VPRD2H

Study Scope

Keywords:

Earth and Environmental Sciences, DAS, Fiber optic, Microseism, Ocean

Abstract:

This data set is used to conduct research as presented in a manuscript entitled "Observation of atmospheric and oceanic dynamics using ocean-bottom distributed acoustic sensing" by Taweesintananon et al. in 2022, which is submitted for peer reviews and publications in a journal. It contains processed strain data in nanostrain unit measured by 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 Longyearbyen to Ny-Ålesund in Svalbard, Norway. The raw data was acquired from 2020-06-23 to 2020-08-04, and converted to strain data in nanostrain unit. To reduce file sizes, we resampled the raw data with 80% antialiasing filter from 1.55 to 20 ms. This processed data then have a Nyquist frequency of 25 Hz, and are archived accordingly. The processed data are stored as structured arrays in MATLAB file format. This data set has no exact positioning data of the fiber optic cable, because they are proprietary to Uninett. However, the distance of each recording channel along the cable from the shore is given in this data set.

Country:

Norway

Geographic Coverage:

Svalbard

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Title:

Taweesintananon, Kittinat; Landrø, Martin; Plotter, John Robert; Johansen, Ståle Emil; Rørstadbotnen, Robin André; Bouffaut, Léa; Kriesell, Hannah Joy; Brenne, Jan Kristoffer; Haukanes, Aksel; Schjelderup, Olaf; and Frode Storvik (2023). Distributed acoustic sensing of ocean-bottom seismo-acoustics and distant storms: A case study from Svalbard, Norway. GEOPHYSICS (p. 1-65).

Identification Number:

10.1190/geo2022-0435.1

Bibliographic Citation:

Taweesintananon, Kittinat; Landrø, Martin; Plotter, John Robert; Johansen, Ståle Emil; Rørstadbotnen, Robin André; Bouffaut, Léa; Kriesell, Hannah Joy; Brenne, Jan Kristoffer; Haukanes, Aksel; Schjelderup, Olaf; and Frode Storvik (2023). Distributed acoustic sensing of ocean-bottom seismo-acoustics and distant storms: A case study from Svalbard, Norway. GEOPHYSICS (p. 1-65).

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