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PAM2Py - Passive Acoustic Monitoring for Python

R.J. Duarte rjduarte(at)ualg.pt and O.C. Rodriguez orodrig(at)ualg.pt
LarSys, Universidade do Algarve, Campus de Gambelas, PT-8005-139 Faro, Portugal.

Comments: training session zip.
Ref.: EMSO Time Series Conf. Observing Ocean Sound, Gran Canaria (Spain), October 20-22 2021.

Accurate ocean sound monitoring requires an endless number of continuous recordings and it can only be achieved by the cooperation between different teams, particularly in what concerns to data exchange. However, exchanging data is extremely sensitive and requires various considerations in order to allow to compare results between institutions: complete description of the data being shared; its privacy; and the calibration to a common standard. PAM2PY emerged from the idea that effective acoustic data sharing could only succeed if: a) data details were private; b) context information and acoustic data were packed together; c) transformation from raw data was standard and supported by open source code running in open platforms. According to this, the objectives of this training session are first to describe basic notions regarding the concept of sharing platform and exchanging data requirements, and second the exploration of practical examples of data analysis and data exchange using PAM2Py. Requirements: Python and PAM2Py installed.