Per-dataset license

AS: Creative Commons Attribution 1.0 Generic 

Cañas, J. S., Toro-Gómez, M. P., Moreira Sugai, L. S., Benítez Restrepo, H. D., Rudas, J., Posso Bautista, B., Toledo, L. F., Dena, S., Rosa Domingos, A. H., De Souza, F. L., De Oliveira, S. N., Da Rosa, A., Carvalho-Rocha, V., Bernardy, J. V., Massao Moreira Sugai, J. L., dos Santos, C. E., Pereira Bastos, R., Llusia, D., & Ulloa, J. S. (2023). AnuraSet: A dataset for benchmarking neotropical anuran calls identification in passive acoustic monitoring. Zenodo. https://doi.org/10.5281/zenodo.8342596

CC: CC BY-SA 4.0

Benjamin Hoffman, David Robinson, Marius Miron, Vittorio Baglione, Daniela Canestrari, Damian Elias, Eva Trapote, Felix Effenberger,Maddie Cusimano, Masato Hagiwara, Sara Keen, Olivier Pietquin. Synthetic data enables context-aware bioacoustic sound event detection. 2025.

GS:  Creative Commons Attribution Non Commercial 4.0 International 

Gottesman, B. (2024). Dataset of Gunshot Sounds and Koogu Model related to "Impacts of logging, hunting, and conservation on vocalizing biodiversity in Gabon" by Yoh et al. 2024 (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11192704

HA: Creative Commons Attribution 4.0 International 

Amanda Navine, Stefan Kahl, Ann Tanimoto-Johnson, Holger Klinck, & Patrick Hart. (2022). A collection of fully-annotated soundscape recordings from the Island of Hawai'i (Version 1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7078499

HG: Creative Commons Attribution Non Commercial Share Alike 4.0 International 

Dufourq, E., Durbach, I., Hansford, J. P., Hoepfner, A., Ma, H., Bryant, J. V., Stender, C. S., Li, W., Liu, Z., Chen, Q., Zhou, Z., & Turvey, S. T. (2020). Automated detection of Hainan gibbon calls for passive acoustic monitoring (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3991714

HW: Public domain

Ann N. Allen, Matt Harvey, Lauren Har- rell, Aren Jansen, et al. A convolutional neural network for automated detection of humpback whale song in a diverse, long-term passive acoustic dataset. Front. Mar. Sci., 8, 2021.

JS: CC BY-SA 4.0

Benjamin Hoffman, David Robinson, Marius Miron, Vittorio Baglione, Daniela Canestrari, Damian Elias, Eva Trapote, Felix Effenberger,Maddie Cusimano, Masato Hagiwara, Sara Keen, Olivier Pietquin. Synthetic data enables context-aware bioacoustic sound event detection. 2025.

KD: Public domain

Shyam Madhusudhana, Holger Klinck, and Laurel B Symes. Extensive data engineer- ing to the rescue: building a multi-species katydid detector from unbalanced, atypical training datasets. Trans. of the Roy. Soc. B, 379(1904), 2024.

MS: Custom: Any publication (e.g. conference paper, journal article, technical report, book chapter, etc.) resulting from the usage of the InfantMarmosetsVox dataset must cite the following papers:

@inproceedings{sarkar23_interspeech,
  author={Eklavya Sarkar and Mathew Magimai.-Doss},
  title={{Can Self-Supervised Neural Representations Pre-Trained on Human Speech distinguish Animal Callers?}},
  year=2023,
  booktitle={Proc. INTERSPEECH 2023},
  pages={1189--1193},
  doi={10.21437/Interspeech.2023-1968}
}

@article{10.1121/1.5047743,
    author = {Zhang, Ya-Jie and Huang, Jun-Feng and Gong, Neng and Ling, Zhen-Hua and Hu, Yu},
    title = "{Automatic detection and classification of marmoset vocalizations using deep and recurrent neural networks}",
    journal = {The Journal of the Acoustical Society of America},
    volume = {144},
    number = {1},
    pages = {478-487},
    year = {2018},
    month = {07},
    issn = {0001-4966},
    doi = {10.1121/1.5047743},
}

This dataset was recorded by Zhang et al., and subsequently used for further experiments by Sarkar et al.
The copyright belongs to the original authors, but Sarkar et al. must be credited as the distributors, open-sourcing the dataset, all the accompanying code, and documentation.

PM: Public domain

Lauren M. Chronister, Tessa A. Rhinehart, Aidan Place, and Justin Kitzes. An annotated set of audio recordings of eastern north american birds 537 containing frequency, time, and species information. Ecol- 538 ogy, 102(6):e03329, 2021.

RG: Public domain

Lapp, Samuel; Parker, Halie; Tett, Carolyn (2022). ARU audio recordings with ruffed grouse annotations (Pennsylvania, 2020) [Dataset]. Dryad. https://doi.org/10.5061/dryad.hdr7sqvmc

RS: Public domain

Lapp, Sam; Kitzes, Justin (2023). Rana sierrae annotated aquatic soundscapes (2022) [Dataset]. Dryad. https://doi.org/10.5061/dryad.9s4mw6mn3

RW: Creative Commons Attribution 4.0 International Public License

Simard, Y., Kirsebom, O., Frazao, F., Roy, N., Matwin, S., Giard, S. (2020). Acoustic recordings of North Atlantic right whale upcalls in the Gulf of St. Lawrence. Federated Research Data Repository. https://doi.org/10.20383/101.0241