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Document type:
Forschungsdaten
Publication date:
07.06.2023
Responsible:
Leinauer, Johannes
Authors:
Leinauer, Johannes; Weber, Samuel; Cicoira, Alessandro; Beutel; Jan and Krautblatter, Michael
Author affiliation:
TUM
Publisher:
TUM
Title:
Collection of slope deformation data until failure with a timely resolution of daily or better supplying the papaer: "An approach for prospective forecasting of rock slope failure time" by Leinauer et al
Identifier:
doi:10.14459/2023mp1688868
End date of data production:
30.09.2022
Subject area:
BAU Bauingenieurwesen, Vermessungswesen; DAT Datenverarbeitung, Informatik; GEO Geowissenschaften; NAT Naturwissenschaften (allgemein); UMW Umweltwissenschaften
Resource type:
Experimente und Beobachtungen / experiments and observations
Data type:
Tabellen / tables; Datenbanken / data bases
Description:
This data set is a collection of slope deformation data until failure with a timely resolution of daily or better. This data collection belongs to the article: Leinauer J., Weber S., Cicoira A., Beutel J. and Krautblatter M. (2023): An approach for prospective forecasting of rock slope failure time; Commun. Earth Environ.
The original raw data have not been measured by the authors. The source of each data set within this collection is outlined in the first 7 lines of each data file together with some meta information. More information can be found in the article.
The collection includes the following 14 sites: Agoyama, Arvigo, Galterengraben, Grabengufer, Hogarth, Kegemori, La Saxe, Nevis Bluff, Ohto, Preonzo, Ryan and Call slope 2, Vaiont, Veslemannen, Weissmiess
Method of data assessment:
The original raw data have not been measured by the authors. The source (either personal communication or digitized published plots) of each data set within this collection is outlined in the first 7 lines of each data file together with some meta information.
Links:
This dataset relates to the publication: https://doi.org/10.1038/s43247-023-00909-z
Key words:
landslide; early warning; failure; natural hazard; slope instability; deformation; monitoring
Technical remarks:
View and download (32 MB total, 18 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1688868):
rsync rsync://m1688868@dataserv.ub.tum.de/m1688868/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
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