READ ME File For 'Dataset to Support Thesis : "Assessing the Performance of Underwater Undulatory Swimming Techniques with Computational Fluid Dynamics"'

Author: Dorian A. G. AUDOT, University of Southampton, ORCID ID 0000-0003-1538-7562

DOI Number for dataset:https://doi.org/10.5258/SOTON/D3064

This dataset supports the thesis entitled : Assessing the Performance of Underwater Undulatory Swimming Techniques with Computational Fluid Dynamics 
AWARDED BY: Univeristy of Southampton
DATE OF AWARD: 19/04/2024

DESCRIPTION OF THE DATA
5 folders:
	1 - Body Data: relative segment lengths, total bodylength and segment thickness for every athlete.
	2 - Data-Kinematics: Lists all of the Fourier coefficient for all the kinematic trials.
	3 - Non modified Kinematics: Simulation outputs for the simulations first presented in the Chapter 5 of the thesis (this data is also used in chapters 6, 7 and 8).
	4 - Case Study - Athlete 1: Results from the simulation used for section 7.2 of the thesis.
	5 - Case Study - Athlete 5: Results from the simulation used for section 8.4 of the thesis.


Geographical location of data collection: United Kingdom

Date range of data collection: October 2018 and June 2023

Related Projects: Engineering and Physical Sciences Research Council (EPSRC) 

Dataset available under: CC-BY

Publisher: University of Southampton, United Kingdom