Dataset Open Access

BirdVox-full-night: a dataset for avian flight call detection in continuous recordings

Lostanlen, Vincent; Salamon, Justin; Farnsworth, Andrew; Kelling, Steve; Bello, Juan Pablo

BirdVox-full-night: a dataset for avian flight call detection in continuous recordings
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Version 3.0, March 2018.


Created By
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Vincent Lostanlen (1, 2, 3), Justin Salamon (2, 3), Andrew Farnsworth (1), Steve Kelling (1), and Juan Pablo Bello (2, 3).

(1): Cornell Lab of Ornithology (CLO)
(2): Center for Urban Science and Progress, New York University
(3): Music and Audio Research Lab, New York University

https://wp.nyu.edu/birdvox

 

Description
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The BirdVox-full-night dataset contains 6 audio recordings, each about ten hours in duration. These recordings come from ROBIN autonomous recording units, placed near Ithaca, NY, USA during the fall 2015. They were captured on the night of September 23rd, 2015, by six different sensors, originally numbered 1, 2, 3, 5, 7, and 10.

Andrew Farnsworth used the Raven software to pinpoint every avian flight call in time and frequency. He found 35402 flight calls in total. He estimates that about 25 different species of passerines (thrushes, warblers, and sparrows) are present in this recording. Species are not labeled in BirdVox-full-night, but it is possible to tell apart thrushes from warblers and sparrrows by looking at the center frequencies of their calls. The annotation process took 102 hours.

The dataset can be used, among other things, for the research,
development and testing of bioacoustic classification models, including the reproduction of the results reported in [1].

For details on the hardware of ROBIN recording units, we refer the reader to [2].

[1] V. Lostanlen, J. Salamon, A. Farnsworth, S. Kelling, J. Bello. BirdVox-full-night: a dataset and benchmark for avian flight call detection. Proc. IEEE ICASSP, 2018.

[2] J. Salamon, J. P. Bello, A. Farnsworth, M. Robbins, S. Keen, H. Klinck, and S. Kelling. Towards the Automatic Classification of Avian Flight Calls for Bioacoustic Monitoring. PLoS One, 2016.

@inproceedings{lostanlen2018icassp,
  title = {BirdVox-full-night: a dataset and benchmark for avian flight call detection},
  author = {Lostanlen, Vincent and Salamon, Justin and Farnsworth, Andrew and Kelling, Steve and Bello, Juan Pablo},
  booktitle = {Proc. IEEE ICASSP},
  year = {2018},
  published = {IEEE},
  venue = {Calgary, Canada},
  month = {April},
}

 

Data Files
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The BirdVox-full-night_flac-audio folder contains the recordings as FLAC files, sampled at 24 kHz, with a single channel (mono).

 

Metadata Files
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The BirdVox-full-night_csv-annotations folder contains JAMS files, where each row correspond to a different location in the time frequency domain (columns "Time (s)" and "Freq (Hz)").

The approximate GPS coordinates of the sensors (latitudes and longitudes rounded to 2 decimal points) and UTC timestamps corresponding to the start of the recording for each sensor are included as CSV files in the main directory.

 

Please acknowledge BirdVox-full-night in academic research
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When BirdVox-full-night is used for academic research, we would highly appreciate it if  scientific publications of works partly based on this dataset cite the following publication:

V. Lostanlen, J. Salamon, A. Farnsworth, S. Kelling, J. Bello. BirdVox-full-night: a dataset and benchmark for avian flight call detection, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018.

The creation of this dataset was supported by NSF grants 1125098 (BIRDCAST) and 1633259 (BIRDVOX), a Google Faculty Award, the Leon Levy Foundation, and two anonymous donors.

 

Conditions of Use
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Dataset created by Vincent Lostanlen, Justin Salamon, Andrew Farnsworth, Steve Kelling, and Juan Pablo Bello.

The BirdVox-full-night dataset is offered free of charge under the terms of the Creative  Commons Attribution 4.0 International (CC BY 4.0) license:
https://creativecommons.org/licenses/by/4.0/

The dataset and its contents are made available on an "as is" basis and without  warranties of any kind, including without limitation satisfactory quality and  conformity, merchantability, fitness for a particular purpose, accuracy or  completeness, or absence of errors. Subject to any liability that may not be excluded or limited by law, Cornell Lab of Ornithology is not liable for, and expressly excludes all liability for, loss or damage however and whenever caused to anyone by any use of the BirdVox-full-night dataset or any part of it.

 

Feedback
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Please help us improve BirdVox-full-night by sending your feedback to:
vincent.lostanlen@gmail.com and af27@cornell.edu

In case of a problem, please include as many details as possible.

 

Acknowledgements
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Jessie Barry, Ian Davies, Tom Fredericks, Jeff Gerbracht, Sara Keen, Holger Klinck, Anne Klingensmith, Ray Mack, Peter Marchetto, Ed Moore, Matt Robbins, Ken Rosenberg, and Chris Tessaglia-Hymes.

We acknowledge that the land on which the data was collected is the unceded territory of the Cayuga nation, which is part of the Haudenosaunee (Iroquois) confederacy.

Files (5.6 GB)
Name Size
BirdVox-full-night_csv-annotations_unit01.csv
md5:a8955d08b24a41496be7b91499f18f97
46.8 kB Download
BirdVox-full-night_csv-annotations_unit02.csv
md5:831f62043b2c404cedb7004032905408
75.7 kB Download
BirdVox-full-night_csv-annotations_unit03.csv
md5:1369f241442550601280eec013add2cd
145.8 kB Download
BirdVox-full-night_csv-annotations_unit05.csv
md5:b1aeb87763990856d92d6db162a8c5a0
84.2 kB Download
BirdVox-full-night_csv-annotations_unit07.csv
md5:b14c409077c86ada07a7c22a4f7749bb
104.5 kB Download
BirdVox-full-night_csv-annotations_unit10.csv
md5:bfe4a6e45731f468cc6dbea0a7968c1c
109.4 kB Download
BirdVox-full-night_flac-audio_unit01.flac
md5:453ea014550936dec2af285f21df131c
1.2 GB Download
BirdVox-full-night_flac-audio_unit02.flac
md5:70ba6b785a0a8dfaf06da67c58b5660b
999.5 MB Download
BirdVox-full-night_flac-audio_unit03.flac
md5:e58a005aa5000fdb962df3db83b6e211
869.0 MB Download
BirdVox-full-night_flac-audio_unit05.flac
md5:9d924ec80c75ea15f58406b32b1bfc5f
986.9 MB Download
BirdVox-full-night_flac-audio_unit07.flac
md5:ad3afa20f7fd873bdd775a44af51dfea
949.4 MB Download
BirdVox-full-night_flac-audio_unit10.flac
md5:da23c632bcc466f88d7eb7ab6ad152f3
665.3 MB Download
BirdVox-full-night_gps-coordinates.csv
md5:bb99f1148bc90232cffc42b42d8606aa
144 Bytes Download
BirdVox-full-night_utc-start-times.csv
md5:a1847e7f6e095496b3d81ebbe9266e51
123 Bytes Download
README.md
md5:ce5007f87d152fde74da970340f0ee92
5.2 kB Download
  • V. Lostanlen, J. Salamon, A. Farnsworth, S. Kelling, J. Bello. BirdVox-full-night: a dataset and benchmark for avian flight call detection. Proc. IEEE ICASSP, 2018.

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