A laser-equipped tunnel for the assessment of multiple burst swimming traits in fishes

Burst swimming performance in fishes is relatively understudied despite its critical role in predation attempts and prey evasion, spawning events, and passing hydraulic challenges. Burst swimming is characterized by fast acceleration, over a short distance and of limited duration. The bulk of fast-start performance research uses analysis of high-speed recordings of fish behavior. While behavioral video analysis has improved, it is still expensive in both processing time and computational resources. Here we introduce a laser-gated burst tunnel that improved upon past designs by introducing an adjustable number of lasers (≤ 25) that facilitated greater resolution on burst performance as well as novel laser arrangements facilitating novel performance metrics (e.g., fatigue rate, burst capacity). We quantified the burst velocity, burst capacity and fatigue rate of rainbow trout (Oncorhynchus mykiss), a widely distributed and studied species. We directly compared the results measured by our ..., This dataset was collected using a novel burst swimming performance tunnel. The Python script which controls the Raspberry Pi and collects data from the burst tunnel is included. Also included is the processing R script which converts the output of the Raspberry Pi into velocity measurements for each fish's burst performance. , , # A laser-equipped tunnel for the assessment of multiple burst swimming traits in fishes

This dataset contains multiple files associated with a manuscript entitled \"A laser-equipped tunnel for the assessment of multiple burst swimming traits in fishes\". This is a methods paper describing the development and use of a chamber used to precisely measure the burst performance of fishes. This burst tunnel uses an array of lasers to enable the calculation of burst velocity. The first step occurs on a Raspberry Pi which monitors the array of lasers and when in use records the time that each laser beam is broken. The Python script which does this is provided and named \"Submission_Code_Lasers.py\". The output of this Python script can then be interpreted with the included R script \"TITLE\".

We used this burst tunnel to evaluate the burst swim performance of Rainbow Trout and to use the burst tunnel to quantify novel metrics of burst performance and compare burst performance with sustained aerob...