Evidence map›Paper›PMID 41335610›Full record

ArticlePloS one2025

Acoustic analysis of bottlenose dolphin vocalizations for behavioral classification in controlled settings.

Laura Screpanti, Francesco Di Nardo, Rocco De Marco, Stefano Furlati, Giacomo Bucci, Alessandro Lucchetti, David Scaradozzi

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Laura ScrepantiDepartment of Information Engineering, Università Politecnica delle Marche, Ancona, Italy.
Francesco Di NardoDepartment of Information Engineering, Università Politecnica delle Marche, Ancona, Italy.ORCID https://orcid.org/0000-0002-5362-3776
Rocco De MarcoInstitute of Biological Resources and Marine Biotechnology (IRBIM), National Research Council (CNR), Ancona, Italy.
Stefano FurlatiOltremare Marine Park, Riccione, Italy.
Giacomo BucciOltremare Marine Park, Riccione, Italy.
Alessandro LucchettiInstitute of Biological Resources and Marine Biotechnology (IRBIM), National Research Council (CNR), Ancona, Italy.
David ScaradozziDepartment of Information Engineering, Università Politecnica delle Marche, Ancona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding how bottlenose dolphins adjust their vocal behavior in response to daily routines can provide insights into social communication and welfare assessment in managed care environments. This study presents a detailed analysis of bottlenose dolphin (Tursiops truncatus) vocal behavior in relation to different daily activities within a controlled environment at Oltremare Marine Park (Riccione, Italy). 24 hours of continuous acoustic recordings were collected from seven dolphins during a typical day at the marine park, including training, feeding, playing, and unstructured activities. Signals were analyzed to quantify the variations in type and number of vocalizations in relation to dolphin activity. 3,111 whistles were manually extracted and stored as both normalized audio files and high-resolution spectrograms. Additionally, an automated algorithm identified 1,277 pulsed vocalizations, classified into echolocation click trains, burst-pulse sounds, and feeding buzzes, using signal-to-noise ratio (SNR) and inter-click interval criteria. Results revealed a significant increase in vocalization rates during structured activities compared to unstructured periods (p < 0.001). This trend was consistently observed across all four vocalization types. Notably, play sessions elicited the highest rates of pulsed vocalizations (p < 0.01), suggesting enhanced social and exploratory behaviors, i.e., interactions with conspecifics as well as curiosity-driven engagement with the environment. To test dataset reliability and usability, signal quality was analyzed by evaluating SNR. To support future research in marine mammal bioacoustics, behavioral ecology, and Artificial-Intelligence-based acoustic monitoring, the full annotated dataset was released as an open-access resource.

Indexed as

AcousticsBehavior, AnimalBottle-Nosed DolphinVocalization, AnimalAnimalsFemaleMaleSound Spectrography

Identifiers

PMID41335610
PMCPMC12674578

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.