Arctic diel and circadian acoustic pattern of Orcas, Fin, and Humpback whales revealed by deep learning from two months of continuous recordings, supporting data

This dataset is a sample of the YOLO detection made in Seglvik that supported the findings published in the journal article: "Arctic diel and circadian acoustic pattern of Orcas, Fin, and Humpback whales revealed by deep learning from two months of continuous recordings". The species_detection_sample.csv is a sample of the detection data information on which presence and detection rate measurments were based. A soundfile is provided for each detection. To find the detections corresponding to specific sound files, one should select on the voc_ID column. The file .ipynb is the code used to generate the figures and perform statistical analyzes.本数据集为在塞勒维克（Seglvik）开展的YOLO（You Only Look Once）目标检测结果样本，其支撑了发表于期刊论文《北极虎鲸、长须鲸与座头鲸的昼夜及昼夜节律声学模式——基于两个月连续录音的深度学习分析》的研究发现。 species_detection_sample.csv 为检测数据信息样本，该样本是物种存在率与检测率测算的依据。 每份检测结果均对应一份音频文件。若需查找与特定音频文件对应的检测结果，可通过 voc_ID 列进行筛选。 .ipynb 文件为用于生成图表并开展统计分析的代码文件。