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feat: added fin whale call index
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danellecline committed Jan 6, 2024
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23 changes: 12 additions & 11 deletions docs/installation/colab.md
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Expand Up @@ -8,17 +8,18 @@ To use Colab
1. Setup a gmail account if you don't already have one.
2. Launch the notebook by clicking on one of the links below:

| Notebook | Description |
|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------
| [PacificSound2kHz.ipynb](https://colab.research.google.com/github/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/data/PacificSound2kHz.ipynb) | Low-frequency data access and spectrogram calibration |
| [PacificSound16kHz.ipynb](https://colab.research.google.com/github/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/data/PacificSound16kHz.ipynb) | Low-mid-frequency data access and spectrogram calibration |
| [PacificSound256kHz.ipynb](https://colab.research.google.com/github/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/data/PacificSound256kHz.ipynb) | Raw recording data access and spectrogram calibration |
| [PacificSoundListen.ipynb](https://colab.research.google.com/github/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/listen/PacificSoundListen.ipynb) | Listen to example recordings of dolphins and whales, then pick any time to listen and explore |
| [PacificSound256kHzTo2kHzDecimate.ipynb](https://colab.research.google.com/github/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/data/PacificSound256kHzTo2kHzDecimate.ipynb) | Recommended to learn about how the raw 10-minute data is decimated from 256kHz to 2Khz | |
| [PacificSoundClassifyBlueA.ipynb](https://colab.research.google.com/github/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/bluewhales/classify/blueA/PacificSoundClassifyBlueA.ipynb) | Blue whale A call classification using a trained neural network model |
| [PacificSoundBlueBCallIndex.ipynb](https://colab.research.google.com/github/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/bluewhales/classify/blueB/PacificSoundBlueBCallIndex.ipynb) | Signal processing method for computing Blue whale B call call index |
| [PacificSoundShippingNoiseAnalysis.ipynb](https://colab.research.google.com/github/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/shippingnoise/PacificSoundShippingNoiseAnalysis.ipynb) | Signal processing methods for studying temporal variations in shipping noise |
| [PacificSoundDetectHumpbackSong.ipynb](https://colab.research.google.com/github/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/humpbackwhales/detect/PacificSoundDetectHumpbackSong.ipynb) | Humpback song detection using a trained neural network model ||
| Notebook | Description |
|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------
| [PacificSound2kHz.ipynb](https://colab.research.google.com/github/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/data/PacificSound2kHz.ipynb) | Low-frequency data access and spectrogram calibration |
| [PacificSound16kHz.ipynb](https://colab.research.google.com/github/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/data/PacificSound16kHz.ipynb) | Low-mid-frequency data access and spectrogram calibration |
| [PacificSound256kHz.ipynb](https://colab.research.google.com/github/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/data/PacificSound256kHz.ipynb) | Raw recording data access and spectrogram calibration |
| [PacificSoundListen.ipynb](https://colab.research.google.com/github/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/listen/PacificSoundListen.ipynb) | Listen to example recordings of dolphins and whales, then pick any time to listen and explore |
| [PacificSound256kHzTo2kHzDecimate.ipynb](https://colab.research.google.com/github/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/data/PacificSound256kHzTo2kHzDecimate.ipynb) | Recommended to learn about how the raw 10-minute data is decimated from 256kHz to 2Khz | |
| [PacificSoundClassifyBlueA.ipynb](https://colab.research.google.com/github/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/bluewhales/classify/blueA/PacificSoundClassifyBlueA.ipynb) | Blue whale A call classification using a trained neural network model |
| [PacificSoundBlueBCallIndex.ipynb](https://colab.research.google.com/github/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/bluewhales/classify/blueB/PacificSoundBlueBCallIndex.ipynb) | Signal processing method for computing Blue whale B call index |
| [PacificSound_FinCallindex.ipynb](https://colab.research.google.com/github/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/bluewhales/classify/blueB/PacificSound_FinCallindex.ipynb) | Signal processing method for computing Fin whale call index |
| [PacificSoundShippingNoiseAnalysis.ipynb](https://colab.research.google.com/github/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/shippingnoise/PacificSoundShippingNoiseAnalysis.ipynb) | Signal processing methods for studying temporal variations in shipping noise |
| [PacificSoundDetectHumpbackSong.ipynb](https://colab.research.google.com/github/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/humpbackwhales/detect/PacificSoundDetectHumpbackSong.ipynb) | Humpback song detection using a trained neural network model ||

**Important** - there is a 24-hour runtime limit for Colab. This can be an issue for some applications
such as training deep-learning models for sound detection and/or classification.
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