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Juptyer notebook tutorials on using the data in the AWS pacific-sound registry for ocean soundscape research, education, and the arts

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MBARI

About

Tutorials written in Jupyter Notebooks to guide you through both accessing and using the data in the AWS pacific-sound registry.

Tutorials

Data Notebooks

  • 2kHz Data ✨ Recommended first step to learn more about the low-frequency data
  • 16kHz Data ✨ Recommended first step to learn more about the low-mid-frequency data
  • 256kHz Data ✨ Recommended first step to learn more about the raw 10-minute data
  • 256kHz to 2kHz Decimation ✨ Recommended to learn about how the raw 10-minute data is decimated from 256kHz to 2Khz

Research and Machine Learning Notebooks

Listen Up

Documentation

See pacific-sound for the official documentation.

Quick Start

Install in your computer

Python>=3.6.0 is required with the requirements.txt.

The recommended way to run the notebooks is using the Anaconda environment

git clone https://github.com/mbari-org/pacific-sound-notebooks
cd pacific-sound-notebooks

If using a Mac

brew install sox

If using Linux

apt-get install libsox-fmt-all libsox-dev
conda env create 
conda activate pacific-sound-notebooks
pip install ipykernel
python -m ipykernel install --user --name=pacific-sound-notebooks
jupyter notebook