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README.md

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-A set of bat calls at 256kHz. European bat species. 
+A set of bat calls at 256kHz. European bat species. 
+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).
+
+https://github.com/rdz-oss/BattyBirdNET-Analyzer
+
+@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 }}
+}
+
+# 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.
+
+## 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/
+
+