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--- |
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license: cc-by-nc-sa-4.0 |
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--- |
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A set of bat calls at 256kHz. European bat species. |
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Up to 100 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). |
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https://github.com/rdz-oss/BattyBirdNET-Analyzer |
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```text |
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@misc{Zinck2023, |
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author = {Zinck, R.D.}, |
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title = {BattyBirdNET - Bat Sound Analyzer}, |
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year = {2023}, |
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publisher = {GitHub}, |
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journal = {GitHub repository}, |
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howpublished = {\url{https://github.com/rdz-oss/BattyBirdNET-Analyzer }} |
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} |
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``` |
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# References |
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## Papers |
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FROMMOLT, KARL-HEINZ. "The archive of animal sounds at the Humboldt-University of Berlin." Bioacoustics 6.4 (1996): 293-296. |
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Görföl, Tamás, et al. "ChiroVox: a public library of bat calls." PeerJ 10 (2022): e12445. |
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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. |
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Kahl, Stefan, et al. "BirdNET: A deep learning solution for avian diversity monitoring." Ecological Informatics 61 (2021): 101236. |
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## Links |
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https://www.museumfuernaturkunde.berlin/en/science/animal-sound-archive |
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https://www.chirovox.org/ |
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https://www.sciencebase.gov/catalog/item/627ed4b2d34e3bef0c9a2f30 |
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https://github.com/kahst/BirdNET-Analyzer |
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https://xeno-canto.org/ |
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