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- Title:
Data and MATLAB code to create hydrodynamic signatures from an artificial lateral line probe
- 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
- 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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