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Document type:
Forschungsdaten
Publication date:
19.05.2021
Responsible:
Abo El Wafa
Authors:
Tuhtan, Jeffrey A.; Fuentes-Perez, Juan Francisco; Toming, Gert; Schneider, Matthias; Schwarzenberger, Richard; Schletterer, Martin; Kruusmaa, Maarja
Author affiliation:
Centre for Biorobotics, Department of Computer Systems, Tallinn University of Technology; Universidad de Valladolid; SJE Ecohydraulic Engineering, GmbH; ARGE Limnologie Gesmb; Tiroler Wasserkraft AG
Publisher:
GitHub
Title:
Data and MATLAB code to create hydrodynamic signatures from an artificial lateral line probe
Identifier:
doi:10.13140/RG.2.2.10592.58880
End date of data production:
27.08.2017
Subject area:
BAU Bauingenieurwesen, Vermessungswesen; UMW Umweltwissenschaften
Resource type:
Experimente und Beobachtungen / experiments and observations
Other resource types:
lateral line probe measurement data
Data type:
Texte / texts; Programme und Anwendungen / software and applications
Other data type:
MATLAB code
Description:
Data and MATLAB code to create hydrodynamic signatures from an artificial lateral line probe. The Matlab script HydroSigKMeans.m creates the hydrodynamic signatures, generates concatenated features for the collection of measurement data in a single folder and performs k-means clustering with an elbow plot to determine the optimal number of clusters. A PDF outlining the use of the script and data is provided in the "MATLAB_Code_User_Guide". All lateral line probe raw measurement data are inclu...     »
Links:

Data: https://github.com/jtuhtan/hydro-sig
Article: Jeffrey A Tuhtan et al. 2018. Man-made flows from a fish' s perspective: autonomous classification of turbulent fishway flows with field data collected using an artificial lateral line. Bioinspir. Biomim., 13, 046006 https://iopscience.iop.org/article/10.1088/1748-3190/aabc79

Language:
en
Horizon 2020:
727830 – Fishfriendly Innovative Technologies for Hydropower, FIThydro
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