Benthic megafaunal specimen counts from seabed photographs at a site in the Central North Sea (STEMM-CCS Project)

The data are counts of megafaunal specimens in seabed photographs captured with a Teledyne Gavia autonomous underwater vehicle deployed from the RRS James Cook in May 2019 at a site in UK sector of the Central North Sea (Connelly, 2019), as part of the Strategies for Environmental Monitoring of Marine Carbon Capture and Storage (STEMM-CCS) project. The seabed photographs were captured using a GRAS-14S5M-C camera with a Tamron TAM 23FM08-L lens mounted to the Gavia autonomous underwater vehicle. The camera captured photographs at a temporal frequency of 1.875 frames per second, a resolution of 1280 x 960 pixels, and at a target altitude of 2 m above the seafloor. Overlapping photos were removed. Megafaunal specimens (>1 cm) in the non-overlapping images were detected using the MAIA machine learning algorithm in BIIGLE. The potential specimens detected using this method were reviewed to remove false positives and classified into morphotypes manually. Counts by morphotype, latitude and longitude (in degrees), camera altitude (m above seafloor) and seabed area (m2) are provided for each photo. The following additional unchecked raw data are also provided: date, time, AUV mission number, and AUV heading, pitch, and roll. Acknowledgements We thank the crew and operators of the RRS James Cook and the Gavia autonomous underwater vehicle. The project was funded by the European Union's Horizon 2020 research and innovation programme under grant agreement No. 654462.

本数据集为2019年5月，由皇家研究船詹姆斯·库克号（RRS James Cook）布放的特莱丁·加维亚（Teledyne Gavia）自主水下航行器（Autonomous Underwater Vehicle, AUV）所拍摄的海底照片中的大型海洋生物标本计数，相关工作作为海洋碳捕获与封存环境监测策略（STEMM-CCS）项目的一部分开展，观测点位位于中北海英国专属海域（Connelly, 2019）。
本次海底照片拍摄采用搭载腾龙（Tamron）TAM 23FM08-L型镜头的GRAS-14S5M-C型相机，安装于特莱丁·加维亚自主水下航行器上。
该相机拍摄参数为：时间频率1.875帧/秒，分辨率1280×960像素，设定拍摄高度为海底上方2米。已对照片进行预处理，剔除重叠照片。
采用BIIGLE平台中的MAIA机器学习算法，对无重叠照片中体长＞1cm的大型海洋生物标本进行检测。通过该方法检出的潜在标本将经人工复核以剔除假阳性样本，并按形态类型完成分类。
每张照片均提供以下统计数据：按形态类型统计的标本计数、经纬度（单位：度）、相机拍摄高度（海底上方米数）以及海底区域面积（单位：平方米）。此外还附带以下未经过校验的原始数据：拍摄日期、拍摄时间、自主水下航行器任务编号，以及自主水下航行器的航向、俯仰角与横滚角。
致谢 感谢皇家研究船詹姆斯·库克号（RRS James Cook）的船员与操作人员，以及特莱丁·加维亚自主水下航行器的相关技术支持人员。本项目由欧盟“地平线2020”研究与创新计划资助，资助协议编号为654462。