Supporting Data for Cost of Transport is not the whole story - A Review

<pre>This dataset supports the work done for the paper:<br><br>Michael Coe, Stefanie Gutschmidt, Cost of Transport is not the whole story — A review, Ocean Engineering,Volume 313, Part 1,2024<br>https://doi.org/10.1016/j.oceaneng.2024.119332.<br><br>Robotic systems are one of the primary tools used in the exploration of the world’s oceans. These technologies have limitations related to speed, efficiency, maneuverability, and prolonged operation in ocean environments. To address and overcome these limitations, systems are being developed utilizing bio-inspired features and different swim modes. This leads to an issue where there is not a consistent measure with which can accurately predict the performance of platforms across many different swim modes. One widely used metric is the Cost of Transport over Reynolds number and displacements, in the form of a scaling law, which is a measure of the energy used for any given operation, but is highly dependent on the swimming mode and geometry of the platform. More recently, the Swim number was introduced that unifies the kinematics and fluid properties of many different aquatic animals and swim modes under a single scaling law. In this work, we introduce a Swim number for propeller driven autonomous swimmers as a unified performance metric. We review the Cost of Transport and Swim number for biological, bio-inspired, and conventional swimmers and provide new scaling laws. The analysis shows that both performance metrics taken together, Cost of Transport and Swim Number, are convenient when designing and comparing natural and artificial swimmers.<br>Keywords: Bio-inspired underwater vehicles; Cost of Transport; Swim number; Unmanned underwater vehicles; Energetics<br></pre><br>