Replication Data for: Monitoring bands during the Norwegian national day parade: a case study on urban distributed acoustic sensing

DOI

This data set is a subset of the data used to conduct the research as presented in a manuscript entitled "Monitoring bands during the Norwegian national day parade: a case study on urban distributed acoustic sensing" by Rørstadbotnen et al. in 2025. It contains raw DAS data in time-differentiated phase change unit as recorded by an OptoDAS interrogators through a dark fiber as part of a telecommunication cable in the city center of Oslo, Norway. The trenching condition and burial depth of the fiber is unknown. The raw data was acquired for 11 days but only a subset of three days is made available, the data used in the paper. The data containes 210 s from 2023.05.14 and 2023.05.16 and 1.5 hours from 2023.05.17 Even though the data was resampled in the analysis the raw data is given with the original sampling. This is done to facilitate additional studies using the dataset. The archived versions have a total size of 205 GB. To get access to the entire dataset, contact the corresponding author.

Identifier
DOI https://doi.org/10.18710/LBLYQT
Related Identifier IsCitedBy https://doi.org/10.1038/s41598-025-97017-z
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/LBLYQT
Provenance
Creator Rørstadbotnen, Robin Andre ORCID logo; Eidsvik, Jo; Langhammer, Jan; Landrø, Martin; Ibrahim, Osman Mohammad
Publisher DataverseNO
Contributor Rørstadbotnen, Robin Andre; NTNU – Norwegian University of Science and Technology; 1) Rørstadbotnen, Robin Andre, 2) Langhammer, Jan; 1) Rørstadbotnen, Robin Andre, 2) Langhammer, Jan, 3) Ibrahim, Osman Mohammad
Publication Year 2025
Funding Reference Centre for Geophysical Forecasting, NTNU Grant N. 309660 ; City of Oslo, Emergency Planning Agency
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Rørstadbotnen, Robin Andre (NTNU – Norwegian University of Science and Technology)
Representation
Resource Type Distributed acoustic sensing data; Dataset
Format application/x-hdf5; text/plain
Size 380336072; 7560
Version 1.0
Discipline Acoustics; Engineering Sciences; Mechanical and industrial Engineering; Mechanics and Constructive Mechanical Engineering; Natural Sciences; Physics
Spatial Coverage (10.722W, 59.906S, 10.755E, 59.918N); Oslo, Norway