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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Seismic source location with a match field processing approach during the RESOLVE dense seismic array experiment on the Glacier d'Argentiere

Authors: Ugo, Nanni; Roux, Philippe; Gimbert, Florent; Lecointre, Albanne;

Seismic source location with a match field processing approach during the RESOLVE dense seismic array experiment on the Glacier d'Argentiere

Abstract

This deposit contains the data set we used in our paper ‘Dynamic imaging of glacier structures at high-resolution using source localization with a dense seismic array’. The paper is in review for GRL and a preprint can be found here: 10.1002/essoar.10507953.1. The dataset present here contains 34 files named ‘beam_15423_jd***.h5’. These files correspond to the output of the matched field processing for each day. They are in .h5 format and we provide a matlab code (read_MFP_data.m) to read these files. These files can be read with any other language since they are in . h5. In linux you can use h5dump –A filename.h5 and you can see the content of each files. More information on how the MFP process is conducted can be found in on the website dedicated to this aspect or on our paper. The whole procedure and associated codes is provided on the lecoinal.gricad-pages.univ-grenoble-alpes.fr/resolve/. We also deliver with this deposit one day of seismic data ZO_2018_121.h5 that can be used to test our MFP process. The data corresponds to the signal measured for 24 hours at each of the 98 sensors with a sampling rate of 500 Hz. More information on these seimsic signals can be found on our website and the whole seimsic dataset can be found here https://seismology.resif.fr/networks/#/ZO__2018. Detailed for downloading the dataset should be search on our website. Other dataset linked to this project are: Nanni, Ugo, Gimbert, Florent, Roux, Phillipe, & Lecointre, Albanne. (2020). DATA of "Resolving the 2D temporal evolution of subglacial water flow with dense seismic array observations." [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4024660 Nanni, Gimbert, Roux, Helmstetter, Garambois, Lecointre, Walpersdorf, Jourdain, Langlais, Laarman, Lindner, Sergenat, Vincent, & Walter. (2020). DATA of the RESOLVE Project (https://resolve.osug.fr/) [Data set]. In Seismological Research Letters (Version v0). Zenodo. https://doi.org/10.5281/zenodo.3971815 This dataset is also linked to two other study: Observing the subglacial hydrology network and its dynamics with a dense seismic array: https://doi.org/10.1073/pnas.2023757118 A Multi‐Physics Experiment with a Temporary Dense Seismic Array on the Argentière Glacier, French Alps: The RESOLVE Project https://doi.org/10.1785/0220200280 Do not hesitate to contact us if you would like to try this approach an another dataset.

Keywords

cryoseismology, matched field processing MFP, subsurface imaging, dense seismic array

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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