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\n## \u003cdiv align=\"left\"\u003eAbout\u003c/div\u003e\n\nTutorials written in [Jupyter Notebooks](https://jupyter.org) to guide you through both accessing and \nusing the data in the AWS [pacific-sound registry](https://registry.opendata.aws/pacific-sound).\n \n\u003cdetails open\u003e\n\u003csummary\u003eTutorials\u003c/summary\u003e\n \n## Data Notebooks\n \n* [2kHz Data](https://github.com/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/data/PacificSound2kHz.ipynb) ✨ Recommended first step to learn more about the low-frequency data\n* [16kHz Data](https://github.com/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/data/PacificSound16kHz.ipynb) ✨ Recommended first step to learn more about the low-mid-frequency data\n* [256kHz Data](https://github.com/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/data/PacificSound256kHz.ipynb) ✨ Recommended first step to learn more about the raw 10-minute data\n* [256kHz to 2kHz Decimation](https://github.com/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\n\n## Research and Machine Learning Notebooks\n \n  * Blue Whales\n      * [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\n      * [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\n  * Fin Whales\n    * [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\n  * Humpback Whales\n      * [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\n  * Shipping Noise\n    - [Quantify shipping noise in the soundscape](https://github.com/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/shippingnoise/PacificSoundShippingNoiseAnalysis.ipynb) 🛳️ Apply international standards to measure shipping noise and its temporal variations.\n \n## Listen Up\n* [Full access to 16 kHz audio](https://github.com/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.\n\n\u003c/details\u003e\n\n## \u003cdiv align=\"left\"\u003eDocumentation\u003c/div\u003e \n\nSee [pacific-sound](http://docs.mbari.org/pacific-sound) for the official documentation.\n\n## \u003cdiv align=\"left\"\u003eQuick Start \u003c/div\u003e\n \n### [Install in SageMaker](https://docs.mbari.org/pacific-sound/installation/sagemaker/)\n\n### [Install in Colab](https://docs.mbari.org/pacific-sound/installation/colab/)\n \n### Install in your computer\n\n[**Python\u003e=3.6.0**](https://www.python.org/) is required with the \n[requirements.txt](https://github.com/mbari-org/pacific-sound-notebooks/blob/master/docs/notebooks/requirements.txt).\n \nThe recommended way to run the notebooks is using the [Anaconda](https://www.anaconda.com/) environment\n\n```bash\ngit clone https://github.com/mbari-org/pacific-sound-notebooks\ncd pacific-sound-notebooks\n```\n\nIf using a Mac \n```\nbrew install sox\n```\n\nIf using Linux\n```\napt-get install libsox-fmt-all libsox-dev\n```\n\n```\nconda env create \nconda activate pacific-sound-notebooks\npip install ipykernel\npython -m ipykernel install --user --name=pacific-sound-notebooks\njupyter notebook\n```\n\u003c/details\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmbari-org%2Fpacific-sound-notebooks","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmbari-org%2Fpacific-sound-notebooks","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmbari-org%2Fpacific-sound-notebooks/lists"}