**WAV files**
- one-day long recordings from 18 isolated Bengalese finches
- all birds were adult males (>140 days after hatching)
- detected songs were concatenated into one file per bird
- 32 kHz / 16 bit sampling
**TextGrid files**
- syllable labels in TextGrid format of [Praat][1] software
- syllables were segmented by amplitude thresholding, and labeled by a semi-automatic classification procedure (Tachibana et al 2014)
**TXT files**
- tab-separated text files converted from TextGrid
**Additional information**
- Note that one bird (b20) was a son of another (b03), and learned its song from the father bird. No other birds had any explicit family relationship.
- Recordings were originally performed for a published study: *Tachibana RO et al (2015) Journal of Comparative Physiology A 201(12):1157-1168.*
https://link.springer.com/article/10.1007%2Fs00359-015-1046-z
- Syllables were classified by a previously reported method: Tachibana RO et al (2014) PLoS ONE 9(3): e92584. https://doi.org/10.1371/journal.pone.0092584
- Data were also used for estimating the context dependency of birdsong syllable sequences: *Morita T et al (2020). bioRxiv, doi: 10.1101/2020.05.09.083907* https://www.biorxiv.org/content/10.1101/2020.05.09.083907v6
- Tachibana has developed a song-triggered recording software "tRec":
https://github.com/rtachi-lab/tRec
[1]: https://www.fon.hum.uva.nl/praat/
