Click and Pulse Recognition for Marine Species Classification

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.