TemporalContext-2021-FinWhale

• Main Authors: Madhusudhana, Shyam, Shiu, Yu, Klinck, Holger, Fleishman, Erica, Liu, Xiaobai, Nosal, Eva-Marie, Helble, Tyler, Cholewiak, Danielle, Gillespie, Douglas, Širović, Ana, Roch, Marie
• Format: Dataset
• Language: unknown
• Published: Zenodo 2021
• Subjects: temporal context; bioacoustics; automatic recognition; fin whale; deep neural network; Scripps; Balaenoptera physalus; Fin whale
• Online Access: https://dx.doi.org/10.5281/zenodo.4661495; https://zenodo.org/record/4661495

This dataset contains representative fin whale (Balaenoptera physalus) acoustic data and annotations to train recognition models using code available at https://github.com/shyamblast/TemporalContext-2021 : We thank staff of NOAA Channel Islands National Marine Sanctuary for their support of data collection as well as the teams of the Scripps Institution of Oceanography - Marine Bioacoustics Research Collaborative for their dedicated work building, deploying, and processing instrumentation and data used in this paper.