ESIP2025 Demo

• download from Sciop
• upload to Source.coop
• visualize

1. Install Coiled Install conda if not already installed

   conda create -n coiled coiled -y
   conda activate coiled

2. Set a TOKEN that give you access to the ESIP-LAB Coiled account (for today only) using one of these options:

   export DASK_COILED__TOKEN=0d98de5376c148cfa1a42506cabb91b4-b680b641f13363e926760686e736175e59ecf1d5
   

   set DASK_COILED__TOKEN=0d98de5376c148cfa1a42506cabb91b4-b680b641f13363e926760686e736175e59ecf1d5
   

   coiled login --token 0d98de5376c148cfa1a42506cabb91b4-b680b641f13363e926760686e736175e59ecf1d5
   

3. To start Jupyterlab for downloading and exploring data use this:

   coiled notebook start --region us-west-2 --vm-type m5.large --software esip2025 --workspace esip-lab --disk-size 50GB

4. Open a terminal in Jupyterlab and type:

   git clone https://github.com/OpenScienceComputing/esip2025.git
   

5. Run the notebooks

Creating your own repos on Source

1. Request permission to create repos on Source.coop
2. Create a repo and get the AWS credentials for the repo
3. Specify the AWS credentials as environment variables

   export AWS_ACCESS_KEY_ID=xxxxxxxxxxxxxxx
   export AWS_SECRET_ACCESS_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxx

4. Start Jupyterlab for downloading, exploring data and pushing to Source.coop:

   coiled notebook start --region us-west-2 --vm-type m5.large --software esip2025 --workspace esip-lab --disk-size 50GB --env AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID --env AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY --env AWS_REQUEST_CHECKSUM_CALCULATION=WHEN_REQUIRED 

Creating the Coiled software environment

coiled env create --name esip2025 --workspace esip-lab --conda environment.yml