Evidence map›Paper›PMID 40360502›Full record

ArticleScientific data2025

A large annotated dataset of vocalizations by common marmosets.

Charly Lamothe, Manon Obliger-Debouche, Paul Best, Régis Trapeau, Sabrina Ravel, Thierry Artières, Ricard Marxer, Pascal Belin

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Charly Lamothe *La Timone Neuroscience Institute UMR 7289, CNRS, Aix-Marseille University, Marseille, France. charlylmth@gmail.com.
Manon Obliger-Debouche *La Timone Neuroscience Institute UMR 7289, CNRS, Aix-Marseille University, Marseille, France. obliger.manon@gmail.com.
Paul BestLaboratoire d'Informatique et Systèmes UMR 7020, CNRS, Aix-Marseille University, Marseille, France.
Régis TrapeauLa Timone Neuroscience Institute UMR 7289, CNRS, Aix-Marseille University, Marseille, France.
Sabrina RavelLa Timone Neuroscience Institute UMR 7289, CNRS, Aix-Marseille University, Marseille, France.
Thierry ArtièresLaboratoire d'Informatique et Systèmes UMR 7020, CNRS, Aix-Marseille University, Marseille, France.
Ricard MarxerLaboratoire d'Informatique et Systèmes UMR 7020, CNRS, Aix-Marseille University, Marseille, France.
Pascal BelinLa Timone Neuroscience Institute UMR 7289, CNRS, Aix-Marseille University, Marseille, France. pascal.belin@univ-amu.fr.ORCID http://orcid.org/0000-0002-7578-6365

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-human primates, our closest relatives, use a wide range of complex vocal signals for communication within their species. Previous research on marmoset (Callithrix jacchus) vocalizations has been limited by sampling rates not covering the whole hearing range and insufficient labeling for advanced analyses using Deep Neural Networks (DNNs). Here, we provide a database of common marmoset vocalizations, which were continuously recorded with a sampling rate of 96 kHz from an animal holding facility housing simultaneously ~20 marmosets in three cages. The dataset comprises more than 800,000 files, amounting to 253 hours of data collected over 40 months. Each recording lasts a few seconds and captures the marmosets' social vocalizations, encompassing their entire known vocal repertoire during the experimental period. Around 215,000 calls are annotated with the vocalization type. We offer a trained classifier to assist future investigations. Finally, we validated our dataset by sampling 700 representative recordings and cross-examining them with four experts.

Indexed as

CallithrixVocalization, AnimalAnimals

Identifiers

PMID40360502
PMCPMC12075697

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.