Description
Acoustic recordings of bottlenose dolphins collected during boat-based encounters using HydroMoth devices and analysed with PAMGuard. This dataset contains 8 minutes of underwater acoustic recordings of a group of bottlenose dolphins (Tursiops truncatus), captured during a boat-based survey on 1 December 2024, approximately 5.3 nautical miles off the coast of Vilanova i la Geltrú, Spain, in the northwestern Mediterranean Sea. Recordings were made during cetacean encounters using a HydroMoth recorder (AudioMoth Firmware Basic v1.11.0), with the support of team members and volunteers from the Institut de Ciències del Mar (CSIC) and Associació Cetàcea. The survey lasted approximately 9 hours, from 2024-12-01T07:07:12 to 2024-12-01T16:51:00 (UTC).
The first visual encounter with the dolphin group occurred at approximately 09:34:00 (UTC+1), after which the boat engine was turned off to increase the quality of the recordings. The audio files were analysed using the open-source software PAMGuard (version 2.02.16; DOI: 10.5281/zenodo.15056259). Whistles were classified using the ROCCA (Real-time Odontocete Call Classification Algorithm) delphinid whistle module integrated into PAMGuard. Clicks were manually categorised within the PAMGuard Viewer as echolocation clicks, burst-pulse sounds, or click trains. This dataset includes detailed metadata describing the entire event and the analysis, which encompasses up to 15 variables. The data are structured in accordance to Darwin Core standards: SamplingEvent, Occurrence, ExtendedMeasurementOrFact, and SimpleMultimedia. These key data are provided here and alongside the audio files in WAV format, available at https://doi.org/10.5281/zenodo.15658353.
Data Records
The data in this sampling event resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 1 records.
3 extension data tables also exist. An extension record supplies extra information about a core record. The number of records in each extension data table is illustrated below.
This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.
Versions
The table below shows only published versions of the resource that are publicly accessible.
How to cite
Researchers should cite this work as follows:
Chaparro Elias, L., Rodero, C., EMBIMOS research group (ICM-CSIC) & Associació Cetàcea. (2025). Dataset of Acoustic Recordings of Bottlenose Dolphins Collected During Boat-Based Encounters Using HydroMoth Devices, Event 006 (2024-12-01) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15658353
Rights
Researchers should respect the following rights statement:
The publisher and rights holder of this work is Institut de Ciències del Mar (CSIC). This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC 4.0) License.
GBIF Registration
This resource has been registered with GBIF, and assigned the following GBIF UUID: 203112b0-8279-48c1-8bad-7e119bf64171. Institut de Ciències del Mar (CSIC) publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF Spain.
Keywords
HydroMoth; Cetacean sound recording; Passive acoustic monitoring; PAMGuard; Citizen science; Participatory science; Marine mammals; Underwater acoustics;; Samplingevent
Contacts
- Metadata Provider ●
- Originator
- Custodian steward
- Originator
- Data collector
- Researcher
- Administrative point of contact
- Institut de Ciències del Mar (ICM-CSIC)
- Passeig Marítim de la Barceloneta 37-49
- +34 932309500
- Content provider
- Ateneu L'Harmonia, Carrer de Sant Adrià, 20, Sant Andreu
Geographic Coverage
Approximately 5.3 nautical miles off the coast of Vilanova i la Geltrú, Spain, in the northwestern Mediterranean Sea (41° 8'13.18"N 1°45'3.22"E)
Bounding Coordinates | South West [41.136, 1.75], North East [41.137, 1.751] |
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Taxonomic Coverage
scientificName: Tursiops truncatus taxonRank: species kingdom: Animalia phylum: Chordata class: Mammalia order: Cetacea family: Delphinidae genus: Tursiops species: Tursiops truncatus
Kingdom | Animalia |
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Phylum | Chordata |
Class | Mammalia |
Order | Cetacea |
Family | Delphinidae |
Temporal Coverage
Start Date | 2024-12-01 |
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Project Data
Although the ROCCA model is capable of extracting up to 50 distinct acoustic features (see Oswald & Oswald, 2013, ROCCA User’s Manual), and the additional PAMGuard modules employed can generate over 300 supplementary acoustic parameters, only a targeted subset of variables relevant to this analysis has been retained in the final dataset published here. These selected variables focus on key click-related metrics (e.g., number of clicks, amplitude, and click type) and whistle-related characteristics (e.g., number of whistles, duration, mean frequency, and classification score). The variables were chosen based on their relevance to the study objectives and their suitability for downstream analyses. In total, the final subset comprises 15 variables, alongside standard metadata describing the sampling event and species occurrence, formatted according to the Darwin Core standard using the ExtendedMeasurementsAndFacts extension. These key data are provided alongside the audio files in WAV format, which are published at https://doi.org/10.5281/zenodo.15658353. Consequently, the acoustic recordings and their associated metadata are publicly available on Zenodo, while the complete set of over 300 measured variables, as well as all files containing the PAMGuard configuration—stored in the SQLite Databases and Binary Storage folders—are available upon request.
Title | Acoustic recordings of bottlenose dolphins collected during boat-based encounters using HydroMoth devices and analysed with PAMGuard |
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Identifier | https://doi.org/10.5281/zenodo.15658353 |
Funding | DTO-BioFlow – Integration of biodiversity monitoring data into the Digital Twin Ocean (Grant Agreement ID: 101112823). |
Study Area Description | Coastal marine area of Costes del Garraf, located along the Catalan Coast in the northwestern Mediterranean Sea, Spain. |
Design Description | This study was designed to collect underwater acoustic recordings of bottlenose dolphins (Tursiops truncatus) along the Catalan coast using HydroMoth devices during boat-based surveys. Data collection occurred during targeted encounters with dolphin groups, capturing vocalisations including whistles and clicks. Acoustic data were processed using the ROCCA model and PAMGuard software to extract relevant bioacoustic parameters. A subset of key variables was selected for analysis and publication, formatted following Darwin Core standards. |
The personnel involved in the project:
Sampling Methods
The HydroMoth device was configured to capture high-frequency sounds at a sampling rate of 250 kHz, with medium gain. A band-pass filter ranging from 0.5 kHz to 125 kHz was applied. No amplitude threshold settings were enabled during the recording session. Upon sighting cetaceans and approaching them, the vessel’s engine was turned off to minimise acoustic disturbance, and the recorder was deployed at a depth of approximately 5 to 7 metres. The device remained submerged until the encounter was considered concluded—typically after several minutes without visual or acoustic detections, or when the animals were observed to be moving away or not returning. The recorder was then retrieved. Due to the high data volume generated by the recording settings (approximately 143 MB per 5 minutes at a 250 kHz sampling rate), the audio files were segmented into 1-minute clips prior to processing. This was done to reduce individual file sizes and enable their upload to open repositories—particularly those linked to citizen science initiatives—which often impose a maximum file size limit of 20 MB.
Study Extent | The study was conducted on 1 December 2024, during a boat-based survey in the northwestern Mediterranean Sea, approximately 5.3 nautical miles off the coast of Vilanova i la Geltrú, Spain. The survey lasted approximately 9 hours, from 07:07 to 16:51 UTC. Acoustic recordings were collected during a confirmed encounter with a group of bottlenose dolphins (Tursiops truncatus), observed for over 10 minutes. The recording effort focused on this specific encounter and its immediate surroundings, covering a localised area within the dolphins’ natural habitat. |
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Quality Control | The organisations participating in this citizen science-based project were trained to use HydroMoth devices configured to optimise the detection of target species, based on local ecological knowledge and seasonal patterns. A standardised recording protocol was developed, and multiple training sessions were conducted for all participants involved in the data collection process. The resulting acoustic data were analysed by an experienced biologist from the EMBIMOS research group at the Institut de Ciències del Mar (CSIC). Quality control involved the careful configuration of PAMGuard modules to enable accurate automated detection, followed by manual review, annotation, and curation of the data using PAMGuard’s Viewer mode. |
Method step description:
- All acoustic data recorded during the deployments were analysed both aurally and visually using the open-source software PAMGuard (version 2.02.16; DOI: 10.5281/zenodo.15056259) by biologists from the EMBIMOS research group at the Institut de Ciències del Mar (ICM-CSIC). The Whistle and Moan Detector and Click Detector modules were used to detect tonal and pulsed vocalisations, respectively. The ROCCA module (Real-time Odontocete Call Classification Algorithm) was employed to measure whistle contours, which were manually extracted using the contour-extraction graphical interface (see Oswald & Oswald, 2013, ROCCA User’s Manual). Spectrograms were visualised with the following settings: FFT length = 2048, hop size = 1024, and a Hann window with 50% overlap, resulting in a temporal resolution of approximately 8.19 ms. Additional modules and visualisation tools were configured to assist in the inspection of low-frequency acoustic events. For a complete description of the analysis workflow and parameters, refer to the PAMGuard Configuration Overview included with the dataset, which enables interpretation and replication of the study.
Bibliographic Citations
- Gillespie, D., Caillat, M., Gordon, J., & McHugh, R. (2020). PAMGuard: Open Source Software for Real-time Acoustic Detection and Localisation of Cetaceans (Version 2.02.16) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.15056259 https://doi.org/10.5281/zenodo.15056259
- Oswald, J. N., & Oswald, M. (2013). ROCCA (Real-time Odontocete Call Classification Algorithm) User's Manual. Submitted to HDR Environmental, Operations and Construction, Inc. Norfolk, Virginia under Contract No. CON005-4394-009, Subproject 164744, Task Order 03, Agreement # 105067. Prepared by Bio-Waves, Inc., Encinitas, California.
- Open Acoustic Devices. (2024, June 6). AudioMoth Operation Manual. [Online]. Available: https://www.openacousticdevices.info/s/AudioMoth-Operation-Manual.pdf
Additional Metadata
Audio 2: https://doi.org/10.5281/zenodo.15647297 Audio 3: https://doi.org/10.5281/zenodo.15648703 Audio 4: https://doi.org/10.5281/zenodo.15656876 Audio 5: https://doi.org/10.5281/zenodo.15657432 Audio 6: https://doi.org/10.5281/zenodo.15657853 Audio 7: https://doi.org/10.5281/zenodo.15658137 Audio 8: https://doi.org/10.5281/zenodo.15673861 Audio 9: https://doi.org/10.5281/zenodo.15682623
Acknowledgements | The publication of this dataset, along with its preparation to ensure that the data are findable and accessible, and that the recording method (AudioMoth) and the open-source detection algorithms used (PAMGuard) provide high-quality data, has been made possible thanks to the support of the project ‘DTO-BioFlow – Integration of biodiversity monitoring data into the Digital Twin Ocean’ (Grant Agreement ID: 101112823). |
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Introduction | The audio recordings in this dataset were collected on 1 December 2024 during an observation of a group of over 30 bottlenose dolphins (Tursiops truncatus), which remained in the area for more than 10 minutes. Audio files were recorded using an HydroMoth device (AudioMoth Firmware Basic v1.11.0) at a 250 kHz sampling rate and medium gain. A band-pass filter with cutoff frequencies of 0.5 kHz and 125.0 kHz was applied. Due to the large file size generated by the recordings (approximately 143 MB per 5 minutes at a sampling rate of 250 kHz), the audio files were divided into 1-minute segments prior to processing. This was done to reduce individual file sizes and enable their upload to open repositories—such as those associated with citizen science infrastructures—which often impose a maximum file size limit of 20 MB. Data analysis with PAMGuard All acoustic data recorded during the deployment were analysed both aurally and visually using the open-source software PAMGuard Version 2.02.16 (DOI: 10.5281/zenodo.15056259) by biologists from the EMBIMOS research group at Institut de Ciències del Mar (CSIC). Only audio segments containing positive detections—i.e., confirmed dolphin vocalisations—were retained in the final dataset. Tonal and pulsed vocalisations were detected using the Whistle and Moan Detector and Click Detector modules, respectively. The ROCCA module was used to extract whistle contours manually via its graphical interface (see Oswald & Oswald, 2013, ROCCA User’s Manual). Spectrograms were generated with an FFT length of 2048, a hop size of 1024, and a Hann window with 50% overlap, providing a temporal resolution of 8.19 ms. Additional modules were configured to support the visualisation of low-frequency acoustic events. A detailed description of the PAMGuard setup is provided in the PAMGuard Configuration Overview. Once all modules were configured, the program was run to process the acoustic data. Outputs were then reviewed using the PAMGuard Viewer. Click data were examined using the Time-Domain Display and annotated manually in the Bearing Display using the Click Detector Label tool. Click types—including echolocation clicks, click trains, and burst pulses—were classified based on waveform morphology and amplitude profiles. The analysis revealed numerous echolocation clicks and click trains with energy extending up to 125 kHz, along with a substantial number of burst-pulse vocalisations. Some of these showed energy concentrations below 50 kHz, while others reached the system’s upper frequency limit. |
Getting Started | Results Whistles were particularly abundant during the first half of the recording. Between 13 and 25 whistles per minute are audible in audio files 006-02 to 006-05, with dominant frequencies ranging from 5 to 19 kHz. The analysis also reveals echolocation clicks and click trains extending up to 125 kHz, along with a substantial number of burst-pulse vocalisations—some with energy concentrated below 50 kHz and others reaching up to 125 kHz. The presence of both tonal and pulsed vocalisations indicates intense social interactions among the dolphins during this period. In audio files 006-06 to 006-09, dolphin activity remains evident but is characterised by a reduced number of pulsed sounds compared to the earlier segments. This decrease is likely due to the group gradually moving away from the hydrophone while continuing to navigate through the area. All of this information is detailed in the accompanying metadata, which describes the full dataset and the acoustic analysis, encompassing over 15 variables. The data are structured in accordance with Darwin Core standards: SamplingEvent, Occurrence, ExtendedMeasurementOrFact, and SimpleMultimedia. These key data are provided alongside the audio files in WAV format, available at https://doi.org/10.5281/zenodo.15658353. |
Purpose | This dataset forms part of a project that aims to assess whether broadband recorders, such as the HydroMoth used here, can be effectively employed in participatory bioacoustics within the marine environment, and whether they can reliably detect and distinguish acoustic signals produced by different cetacean species in the area when analysed using open-source software such as PAMGuard. |
Alternative Identifiers | 10.15470/77bhey |
203112b0-8279-48c1-8bad-7e119bf64171 | |
https://ipt.gbif.es/resource?r=icm-bioacoustics |