---
license: cc-by-nc-sa-4.0
tags:
- audio classification
- biology
- bat
- biomonitoring
- acoustics
---
A set of bat calls sampled at 256kHz or higher. European bat species. 
Up to 100 random samples (if exist) from data assembled under same license from chiro-vox, animal sound library berlin, xeno-canto and individuals (R. Zinck and K. Richards).

https://github.com/rdz-oss/BattyBirdNET-Analyzer

```text
@misc{Zinck2023,
  author = {Zinck, R.D.},
  title = {BattyBirdNET - Bat Sound Analyzer},
  year = {2023},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/rdz-oss/BattyBirdNET-Analyzer }}
}
```
Sample files per species:
![Species](./BattyBirdNET-Bavaria-256kHz-100.png)



# References
## Papers

FROMMOLT, KARL-HEINZ. "The archive of animal sounds at the Humboldt-University of Berlin." Bioacoustics 6.4 (1996): 293-296.

Görföl, Tamás, et al. "ChiroVox: a public library of bat calls." PeerJ 10 (2022): e12445.

Gotthold, B., Khalighifar, A., Straw, B.R., and Reichert, B.E., 2022, Training dataset for NABat Machine Learning V1.0: U.S. Geological Survey data release, https://doi.org/10.5066/P969TX8F.

Kahl, Stefan, et al. "BirdNET: A deep learning solution for avian diversity monitoring." Ecological Informatics 61 (2021): 101236.

Vellinga, Willem-Pier, et al. "www. xeno-canto. org: a decade on."

## Links

https://www.museumfuernaturkunde.berlin/en/science/animal-sound-archive

https://www.chirovox.org/

https://www.sciencebase.gov/catalog/item/627ed4b2d34e3bef0c9a2f30

https://github.com/kahst/BirdNET-Analyzer

https://xeno-canto.org/