diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..8d2fbdfb4d9a97bba922274f890322e3c0fab2c1 --- /dev/null +++ b/.gitignore @@ -0,0 +1,4 @@ +import_wav.py + +Single_hydrophone/Audio_data/* +Tetra/Audio_data/* \ No newline at end of file diff --git a/README.md b/README.md index d2bd3d5c9229c73f96ba7a72d8d8f6e474367b07..680d5ace4d10a105b5b3b3154d12b3507dad782d 100644 --- a/README.md +++ b/README.md @@ -17,7 +17,7 @@ This dataset can be used in broader contexts (study of call rates, acoustic beha │ ├── Audio_data # Wavefiles │ ├── Visual_observations # Visual observations on dolphins associated with audio data │ └── Whistles_annotations # Whistle contours extracted from audio data -├── Tetra # Data collected using compact 4-hydrophones array +└── Tetra # Data collected using compact 4-hydrophones array ├── Audio_data # Wavefiles ├── Visual_observations # Visual observations on dolphins associated with audio data └── Hydro_coordinates # Coordinates of the 4 hydrophones in Tetra @@ -31,15 +31,16 @@ The audio files are provided with no preprocessing. We recommend to use a high-p JSON files are the outputs of a custom-made annotation tool [PyAVA](https://gitlab.lis-lab.fr/loic.lehnhoff/PyAVA), were each key is a different whistle contour, and each contour is defined by a list of points represented as time-frequency coordinates. -TETRA's recordings are of lesser quality than icListen hydrophone: 16-bits depth (half of icListen), varying sampling rates and electrostatic buildup (e.g. channel 1 (CR3 hydrophone) in 20220723_102814UTC+2_V12.wav). Therefore, they may demand more processing effort. +TETRA's recordings may demand more processing effort due to varying sampling rates and noticeable electrostatic buildup on channel 1 in 2022. TETRA's and icListen's recordings can be used for signal detection and analyses, but only TETRA can be used for angle of arrival estimation. + ## Contact -Please contact [Loïc Lehnhoff](mailto:loic.lehnhoff@gmail.com) or [Bastien Mérigot](mailto:bastien.merigot@umontpellier.fr) for any question related to this dataset. +Please contact [Loïc Lehnhoff](mailto:loic.lehnhoff@gmail.com), [Bastien Mérigot](mailto:bastien.merigot@umontpellier.fr) or [Hervé Glotin](mailto:herve.glotin@lis-lab.fr) for any question related to this dataset. ## Related to -- An acoustic dataset of short-beaked common dolphins signals recorded during DOLPHINFREE experiments : [in preparation](todo.com) +- An acoustic dataset of short-beaked common dolphins signals recorded during DOLPHINFREE experiments : **in preparation** - Behavioural Responses of Common *Dolphins Delphinus* delphis to a Bio-Inspired Acoustic Device for Limiting Fishery By-Catch : [https://doi.org/10.3390/su142013186](https://doi.org/10.3390/su142013186) -- Characterisation of whistles using artificial intelligence: responses of short-beaked common dolphins *Delphinus delphis* to a bio-inspired acoustic mitigation device : [in preparation](todo.com) -- 2D positioning using a compact array of hydrophones reveals echolocation and communication features of wild short-beaked common dolphin *(Delphinus delphis)* : [in preparation](todo.com) \ No newline at end of file +- Characterisation of whistles using artificial intelligence: responses of short-beaked common dolphins *Delphinus delphis* to a bio-inspired acoustic mitigation device : **in preparation** +- 2D positioning using a compact array of hydrophones reveals echolocation and communication features of wild short-beaked common dolphin *(Delphinus delphis)* : **in preparation** \ No newline at end of file