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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).
Github, Fisheries research, Echosounder, Ecology and Evolution, Broadband, Institute of Marine Research, Simrad EK80
Github, Fisheries research, Echosounder, Ecology and Evolution, Broadband, Institute of Marine Research, Simrad EK80
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