Test data set for CRIMAC-RAW-To-Svf-TSf

Test data set for https://github.com/CRIMAC-WP4-Machine-learning/CRIMAC-Raw-To-Svf-TSf, accompanying code to the paper "Quantitative processing of broadband data as implemented in a scientific splitbeam echosounder" submitted to Ecology and Evolution (Wiley). This is the Simrad EK80 raw files collected by the Norwegian Institute of Marine Research and used in the paper, mainly through the subset json files in https://github.com/CRIMAC-WP4-Machine-learning/CRIMAC-Raw-To-Svf-TSf/tree/main/Data. To reproduce echogram figures the files Zenodo-hosted files IMR-D20210507-T074652-Svf.raw and IMR-D20211215-T143432-TSf.raw must be downloaded. This research is a part of the CRIMAC - Centre for research-based innovation in marine acoustic abundance estimation and backscatter classification funded by the Research Council of Norway (grant no. 309512).本数据集为https://github.com/CRIMAC-WP4-Machine-learning/CRIMAC-Raw-To-Svf-TSf 仓库的配套测试数据集，该仓库是投稿至Wiley旗下《生态学与进化》（Ecology and Evolution）期刊的论文《科学型分裂波束回声测深仪（splitbeam echosounder）中的宽带数据定量处理实现》的配套代码仓库。本数据集包含挪威海洋研究所（Norwegian Institute of Marine Research）采集的Simrad EK80原始声呐文件，论文研究中主要通过该仓库https://github.com/CRIMAC-WP4-Machine-learning/CRIMAC-Raw-To-Svf-TSf/tree/main/Data 路径下的子集JSON（JavaScript Object Notation）文件调用相关数据。若要复现论文中的回声图，需下载Zenodo平台托管的两个文件：IMR-D20210507-T074652-Svf.raw 与 IMR-D20211215-T143432-TSf.raw。本研究隶属于CRIMAC——海洋声学丰度估算与背散射分类研究创新中心，该中心由挪威研究理事会（Research Council of Norway）资助，项目编号为309512。