Click and Pulse Recognition for Marine Species Classification

Résumé fourni par la source

This dataset supports the manuscript "Methodology for Click and Short Duration Pulses Recognition as a Dual Factor in the Classification of Marine Species." The research hypothesis is that impulsive acoustic clicks in continuous passive acoustic monitoring (PAM) recordings can be automatically detected and classified as biological or non-biological/anthropogenic, using unsupervised anomaly detection (Isolation Forest) combined with periodicity and spectral descriptors (inter-click interval coefficient of variation, autocorrelation, bandwidth, and duration). The dataset provides the raw and processed audio recordings, together with the full quantitative acoustic analysis, underlying the manuscript's results across seven acoustic sources: snapping shrimp (Alpheidae), common bottlenose dolphin (Tursiops truncatus), killer whale (Orcinus orca), Gobius cobitis, stingray (Urogymnus granulatus), rig shark (Mustelus lenticulatus), and vessel (propeller) noise. Recordings were obtained with several hydrophone systems at the field sites and laboratory facilities described in the main article, corresponding to segments with confirmed species activity as identified in the original source publications. Contents supp_material.pdf: complete acoustic analysis per recording, including multidimensional plots of detected events (temporal distribution by energy, ICI histograms, duration distributions, per-click frequency ranges), statistical distributions (violin/box plots) of duration, RMS amplitude, bandwidth and ICI, cumulative time-series analysis (event count, rolling energy, spectral centroid), and detection-performance metrics (confusion matrix, ROC) for recordings not covered as case studies in the main article. audios/original/: raw, unprocessed WAV recordings as acquired in the field or laboratory. audios/filtered/: the same segments after Isolation Forest-based click/pulse isolation, retaining only the impulsive events identified as anomalies relative to background noise. Key findings Interpretation and use Amplitude and energy values are dimensionless, computed directly from raw WAV samples without absolute sensitivity calibration; they support within-recording and same-equipment comparisons but are not comparable to sound pressure levels across different hydrophones or gain settings.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.