Automated flow control of a multi-lane swimming chamber for small fishes indicates species-specific sensitivity to experimental protocols

Please refer to the original manuscript for details on how the data were collected. Regarding the swimming protocol data, the ISI Web of Knowledge was searched (Clarivate Analytics, Core collection search on 19.02.2019) using the term: ((swim* OR sust* OR prolong* OR burst*OR cruis* OR routin* OR Ucrit OR endur*) AND (early life stage* OR larv*) AND (marin* OR sea* OR brack*) AND (fish* OR teleost*))). The results were manually checked and 36 papers were identified were fish were swum in multi-lane swimming chambers. The video files show recordings of fluorescent green polyethylene buoyant particles (850-1000 µm) inside the multi-lane swimming chambers at 10 and 40 cm s-1, respectively. The original recordings were processed using a Flowtrace algorithm (see original manuscript for further details) and inverted using Sony Vegas Pro 13.0 (VEGAS Creative Software). A still of the multi-lane swimming chamber, added to the background of the videos, allowed the evaluation and tracking of individual particles in each raceway. The video of the lower velocity (10 cm s-1) is provided at the original speed, whereas the video of the higher velocity (40 cm s-1) is slowed down to 0.25x speed.

有关数据采集的完整流程，请参阅原始研究手稿。针对本数据集的游泳实验方案相关数据，我们于2019年2月19日通过科睿唯安（Clarivate Analytics）旗下的Web of Knowledge核心合集进行检索，检索策略为：((swim* OR sust* OR prolong* OR burst* OR cruis* OR routin* OR Ucrit OR endur*) AND (early life stage* OR larv*) AND (marin* OR sea* OR brack*) AND (fish* OR teleost*))。随后对检索结果进行人工甄别，最终筛选出36篇在多通道游泳呼吸室（multi-lane swimming chambers）中开展鱼类游泳实验的论文。本数据集包含两段视频素材，分别记录了流速为10 cm·s⁻¹和40 cm·s⁻¹的多通道游泳呼吸室内的荧光绿色聚乙烯漂浮颗粒（粒径850~1000 µm）的运动状态。原始录制素材通过Flowtrace算法进行后期处理（详细操作流程请参阅原始研究手稿），并使用索尼Vegas Pro 13.0（VEGAS Creative Software）完成色彩反相处理。我们将多通道游泳呼吸室的静态背景图像添加至视频背景中，以实现对每个槽道内单个颗粒的识别与追踪。流速为10 cm·s⁻¹的视频保留原始播放速率，而流速为40 cm·s⁻¹的视频则将播放速率降至原速的0.25倍。