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We will be using data from Copernicus Atmosphere Monitoring Service and more precisely PM2.5 (Particle Matter < 2.5 μm) 4 days forecast from December, 22 2021. Parallel data analysis with Pangeo is not covered in this tutorial.""";
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The docker images can be used within Galaxy and as standalone docker images.
You can use the same images we use in Galaxy on your local computer or any other platform:

1. Pull an existing image locally

docker pull quay.io/nordicesmhub/docker-pangeo-notebook

2. Run a pre-build image from docker registry

3. To start your JupyterLab:

docker run -p 7777:8888 quay.io/nordicesmhub/docker-pangeo-notebook

and you will top open a new terminal and start your favorite web browser.

your running Jupyter Notebook instance on http://localhost:7777/ipython/.

Remark: for reproducibility purpose, we suggest you use a specific tag e.g.

docker pull quay.io/nordicesmhub/docker-pangeo-notebook:1c0f66b

Then use the same tag when starting your JupyterLab application:

docker run -p 7777:8888 quay.io/nordicesmhub/docker-pangeo-notebook:1c0f66b""";
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launch the Docker container binding of your data folder (on the local machine) with the /import folder i(inside the container) with the command: docker run -v my_data_folder:/import -p 7777:8888 quay.io/nordicesmhub/docker-pangeo-notebook:1c0f66b
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