Annotated images capturing fish abundances during the first deployment of the EMSO Generic Instrument Module (EGIM) at the OBSEA cabled observatory from December 2016 to April 2017

Here we present fish observation data obtained during the first EGIM deployment at the OBSEA observatory, which led to the development of a methodology for correlating fish activity and biologically relevant oceanographic variables. In addition to salinity, temperature, sound speed, water depth and dissolved oxygen data measured by the EGIM, two underwater digital cameras were deployed to provide ecological observations: a CAM1 camera rotating 360° and five metres apart, and a fixed CAM2 camera pointed at an artificial reef where fish activity is observed. For the analysis, the two close cameras were considered as one. For each image, the total number of fish was counted. All visible individuals were taxonomically classified as detailed as possible, using the latest scientific nomenclature from FISHBase.

本研究公开了首次EGIM（EGIM）在OBSEA（OBSEA）海洋观测站部署期间获取的鱼类观测数据，该数据集支撑了关联鱼类活动与具有生物学意义的海洋环境变量的研究方法开发。本次部署除通过EGIM采集盐度、温度、声速、水深与溶解氧数据外，还搭载了两台水下数码相机以开展生态观测：一台为可360°旋转的CAM1（CAM1）相机，安装间距为5米；另一台为固定视角的CAM2（CAM2）相机，对准用于观测鱼类活动的人工鱼礁。在数据分析环节，两台间距较近的相机被合并为一组进行处理。针对每一张图像，研究人员会统计其中的鱼类总数量，并依据FISHBase（FISHBase）发布的最新科学命名法，对所有可见个体开展尽可能细致的分类学鉴定。

搜集汇总

背景与挑战

背景概述

该数据集包含2016年12月至2017年4月期间，在OBSEA有线观测站首次部署EMSO通用仪器模块（EGIM）时，通过两个水下数码相机捕获的鱼类丰度注释图像数据，共51618个数据点。数据集对图像中的鱼类进行总数统计和详细物种分类，涵盖45个参数，旨在关联鱼类活动与海洋学变量，支持生物多样性研究。