Acoustic recordings of underwater vocalizations of Indo-Pacific humpback dolphins in Xiamen Bay, China

Vocalizations play crucial roles in dolphin biological activities. Analysis of dolphin vocalizations provides valuable insights into their behaviors and population status. In this data descriptor, we present a dataset of underwater vocalizations of Indo-Pacific humpback dolphins (Sousa chinensis) recorded in Xiamen Bay, China. The dataset comprises a diverse range of dolphin emissions, including 143 whistles (100 of which were classified as high-quality), and 897 pulse trains, categorized as echolocation clicks, burst pulses, and buzzes. A range of acoustic parameters was measured to characterize these acoustic signals. The presented dataset serves as an essential contribution to addressing existing data gaps regarding vocalizations of the Indo-Pacific humpback dolphin population in Xiamen Bay. It provides an important resource for studying vocalization patterns and temporal variability in the acoustic behaviors of the Indo-Pacific humpback dolphins, offering key insights to inform conservation strategies for this endangered population. Additionally, the dataset holds potential for population connectivity research, enabling acoustic comparisons between dolphin populations across different geographic regions to assess potential isolation or interaction.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2025-12-18
DOI
https://doi.org/10.1038/s41597-025-06253-5
Primary Topic
Marine animal studies overview
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Acoustic recordings of underwater vocalizations of Indo-Pacific humpback dolphins in Xiamen Bay, China

Weijie Fu, Fei Zhang, Fuxing Wu, Zhongchang Song et al.
Scientific Data
Marine animal studies overview
article

Acoustic recordings of underwater vocalizations of Indo-Pacific humpback dolphins in Xiamen Bay, China

Weijie Fu, Fei Zhang, Fuxing Wu, Zhongchang Song, Wenjie Xiang, Xuming Peng, Chuang Zhang, Yu Zhang
article en

Abstract

Vocalizations play crucial roles in dolphin biological activities. Analysis of dolphin vocalizations provides valuable insights into their behaviors and population status. In this data descriptor, we present a dataset of underwater vocalizations of Indo-Pacific humpback dolphins (Sousa chinensis) recorded in Xiamen Bay, China. The dataset comprises a diverse range of dolphin emissions, including 143 whistles (100 of which were classified as high-quality), and 897 pulse trains, categorized as echolocation clicks, burst pulses, and buzzes. A range of acoustic parameters was measured to characterize these acoustic signals. The presented dataset serves as an essential contribution to addressing existing data gaps regarding vocalizations of the Indo-Pacific humpback dolphin population in Xiamen Bay. It provides an important resource for studying vocalization patterns and temporal variability in the acoustic behaviors of the Indo-Pacific humpback dolphins, offering key insights to inform conservation strategies for this endangered population. Additionally, the dataset holds potential for population connectivity research, enabling acoustic comparisons between dolphin populations across different geographic regions to assess potential isolation or interaction.

Scientific DataVol. 12(1)
Xiamen University (CN), Ministry of Natural Resources (CN), Ministry of Natural Resources (RW), Beibu Gulf University (CN), Fujian Institute of Oceanography (CN)
National Natural Science Foundation of China, Natural Science Foundation of Fujian Province, Tianjin University
Openalex Percentile: Top 60%
Marine animal studies overview
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.