Data for optimizing energetics of lateral undulatory locomotion unveiling morphological adaptations in different environments
Data files
Mar 07, 2025 version files 734.06 KB
Abstract
Ongoing efforts seek to unravel theories that can make simple, quantitative, and reasonably accurate predictions of the morphological adaptive changes that arise with the size variation. Yet, relatively scant attention has been directed towards lateral undulatory locomotion. In the current study, we explore: i) the constraints imposed by the variation of length and mass in viscous and dry friction environments on the cost of transport (COT) of lateral undulatory locomotion, and ii) the role of the body, environment, and input oscillations in such an intricate interplay. In a dry friction environment, minimum COT correlates with stiffer and longer bodies, higher frictional anisotropy, and angular amplitudes greater than 10o. Conversely, a viscous environment favors flexible long bodies, higher frictional anisotropy, and angular amplitudes lower than 30o. In both environments, optimizing mass and maintaining low angular frequencies minimizes COT. Our conclusions are applicable only in the low Reynolds number regime, and it is essential to consider the interdependence of parameters when applying the generalized results. Our findings highlight musculoskeletal and biomechanical adaptations that animals may use to mitigate the consequences of size variation and to meet the energetic demands of lateral undulatory locomotion. These insights enhance foundational biomechanics knowledge while offering practical applications in robotics and ecology.
DOI link to this data set is https://doi.org/10.5061/dryad.w6m905r0k
Description
There are two main files, "Generating Figures 4_6_8.nb" and "Generating Figures 5_7_9.nb". These files are mathematica notebooks created using Mathematica 14.0. Use Mathematica to open them. These two notebooks uses the rest of the data files to generate the figures. ".mx" files contains the data of the calculated cost of transport (J/(kg m)) and forward speed (m/s). The same data has been provided in .CSV format placed in "Data CSV Files" folder.
Run this line first SetDirectory[NotebookDirectory[]]; to set the notebook directory as the working directory. The line is already included in the notebook files.
Data files are read and stored in the constant cotfig, followed by the figure number and subplot identifier (e.g., 'a', 'b', etc.). The cotfig value remains the same for all entries.
forward speeds are stored in the constant "vx".
files "figure4a.mx", "figure4b.mx", "figure4c.mx", "figure4d.mx", "figure6a.mx","figure6b.mx", "figure6c.mx", "figure6d.mx", "figure8a.mx", "figure8b.mx", "figure8c.mx", and "figure8d.mx" contains the calculated cost of transport (COT) of the respective figures. Similarly for .CSV files.
"Generating Figures 4_6_8.nb" file is a mathematica notebook that uses the data and parameters to generate the figures 4 6 and 8 of the manuscript.
"vxfig5a.mx", "vxfig5b.mx", "vxfig5d.mx", "vxfig6b.mx", "vxfig7d.mx", "vxfig9b.mx", "vxfig9d.mx" contains data of velocities. Similarly for .CSV files. This data is used to generate figures 5, 7 and 9.
"Generating Figures 5_7_9.nb" contains the code to generate the figures 5 7 and 9 of the manuscript.
The data is collected through the mathematical model simulations.
