A collection of tools to post-process and prepare datasets for archiving at the National Centers for Environmental Information (NCEI), Northeast Fisheries Science Center (NEFSC) and Mid-Atlantic Acoustic Telemetry Observation System (MATOS)
Add the channel conda-forge to your .condarc. You can find out more about conda-forge from their website: https://conda-forge.org/
conda config --add channels conda-forge
Clone the dataset_archiving repository
git clone https://github.com/rucool/dataset_archiving.git
Change your current working directory to the location that you downloaded dataset_archiving.
cd /Users/garzio/Documents/repo/dataset_archiving/
Create conda environment from the included environment.yml file:
conda env create -f environment.yml
Once the environment is done building, activate the environment:
conda activate dataset_archiving
Install the toolbox to the conda environment from the root directory of the dataset_archiving toolbox:
pip install .
The toolbox should now be installed to your conda environment.
Download glider .nc files to your local machine using download_glider_dataset.py
Post-process and make quick plots of the glider data variables for a quick check before archiving the datasets in the appropriate archive: