Data Access and Jupyter Notebook Examples

Example Notebooks for NSF NCAR HPC Users

The following link provides a repository of notebook based reference examples on how to access and analyze data from selected GDEX datasets, and is intended primarily for users who have access to NSF NCAR HPC resources. GDEX users are invited to contribute their GDEX data access and analysis examples to this repository as well.

GDEX Examples

Example Notebooks for Remote Users

The following link provides a repository of notebook based reference examples on how to access and analyze data from selected GDEX datasets via the Open Science Data Federation (OSDF) using the PelicanFS software. These examples are intended primarily for remote users who do not have access to NSF NCAR HPC resources. Specific example notebooks can be found under the 'NCAR HPC workflows / NCAR data origin' section. GDEX users are invited to contribute their GDEX data access and analysis examples to this repository as well.

OSDF Examples

Project Pythia OSDF Cookbooks

Project Pythia is an open-source, community-driven educational platform designed to help geoscientists adopt Python-based tools for analyzing large, complex datasets. Select the link below to view Project Pythia Cookbooks that provide example workflows and demonstrate how to access and analyze GDEX data using the Open Science Data Federation (OSDF).

Project Pythia Cookbooks

JupyterHub at NSF NCAR

NSF NCAR's Community Compute Services can be used to access and process GDEX data for users with NSF NCAR HPC computing allocations. Select the link below for more information on how to connect with and use the JupyterHub resources at NSF NCAR. The JupyterHub deployment that CISL manages allows "push-button" access to NSF NCAR's Derecho supercomputing resource and the Casper cluster of nodes used for data analysis and visualization, machine learning, and deep learning.

NSF NCAR JupyterHub