diff --git a/README.md b/README.md index cf78b0f..198bea2 100644 --- a/README.md +++ b/README.md @@ -20,7 +20,8 @@ using the data in the AWS [pacific-sound registry](https://registry.opendata.aws * Blue Whales * [Blue B call index 🐳](https://github.com/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/bluewhales/classify/blueB/PacificSoundBlueBCallIndex.ipynb) Study song occurrence using a signal processing method * [Blue A call classification 🐳](https://github.com/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/bluewhales/classify/blueA/PacificSoundClassifyBlueA.ipynb) Classify blue whale song A calls with a neural network model - * Training a model in SageMaker 🚧 + * Fin Whales + * [Fin whale call index 🐳](https://github.com/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/finwhales/PacificSound_FinCallindex.ipynb) Fin whale song occurrence using a signal processing method * Humpback Whales * [Humpback whale song detection 🐳](https://github.com/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/humpbackwhales/detect/PacificSoundDetectHumpbackSong.ipynb) Detect humpback song with a neural network model * Shipping Noise diff --git a/docs/installation/colab.md b/docs/installation/colab.md index 803ba74..8108e1e 100644 --- a/docs/installation/colab.md +++ b/docs/installation/colab.md @@ -8,17 +8,17 @@ 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 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 | +| 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/finwhales/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 diff --git a/docs/quickstart.md b/docs/quickstart.md index 07e4b3b..18324a9 100644 --- a/docs/quickstart.md +++ b/docs/quickstart.md @@ -26,7 +26,7 @@ Start time is encoded in the file names and included in the metadata for each da * Humpback Whales * [Humpback whale song detection 🐳](notebooks/humpbackwhales/detect/PacificSoundDetectHumpbackSong.ipynb) Detect humpback song with a neural network model * Fin Whales - * [Fin whale call index 🐳](notebooks/bluewhales/classify/blueB/PacificSoundBlueBCallIndex.ipynb) Fin whale song occurrence using a signal processing method + * [Fin whale call index 🐳](notebooks/finwhales/PacificSound_FinCallindex.ipynb) Fin whale song occurrence using a signal processing method * Shipping Noise - [Quantify shipping noise in the soundscape](notebooks/shippingnoise/PacificSoundShippingNoiseAnalysis.ipynb) 🛳️ Apply international standards to measure shipping noise and its temporal variations.