Momentum-PreDoc-TETRIS: digital Tools for massivE daTa pRocessing in FIsheries AcousticS: leveraging repository access and global inferences

The project TETRIS aims to leverage the compilation and processing of large acoustic databases from public online repositories, which will improve the temporal and spatial scale of fishery acoustics, facilitating greater accuracy in the study of ecological processes influenced by climate change. TETRIS is a collaboration between IEO-CSIC (Marian Peña), University of Washington in Seattle (Wu-Jung Lee), NOAA (Carrie Wall) and Universitat de les Illes Balears (Carlos Guerrero). The three main objectives of the project are: 1) Development of acoustic downsampling algorithms, 2) Massive integration of data from acoustic repository networks and 3) Data mining and associating information from net and acoustic mesopelagic data.