LinkedEarth Hub: A Jupyter Hub for the paleogeoscience community

TL;DR: We launched a JupyterHub in July 2022 for use by the research community. More information and sign up here.

As part of our ongoing NSF EarthCube grant and in collaboration with 2i2c, we launched a JupyterHub in summer 2022 so you can work in the cloud without having to install Python and the scientific Python Stack on your local machine/server and access more computational resources, which can be useful for model-data comparison.

As of time of writing, the Hub is loaded with most of the libraries relevant to climate science applications (Pandas, numpy, xarray, matplotlib, seaborn, cartopy, scipy, scikit-learn…) and Pyleoclim, a package dedicated to the analysis of paleoclimate data. To help you get started with this software package, we have tutorials and scientific examples that show you how to use Pyleoclim. If you need more help with Python, we suggest looking at these excellent beginner tutorials from Project Pythia. Their resource gallery also contains several examples of using Python for scientific applications in the geosciences.

FAQ

1. Is this resource free? Yes, it is absolutely free to use as long as you engage in paleoclimate research. See our code of conduct.
2. Does anyone else have access to the data and notebooks that I store on the hub? Only admins (LinkedEarth team) have access to your home directories so you don’t have to worry about placing your unpublished data there. They will stay even after you close your sessions. We will store your data as long as the Hub is in service.
3. Who is the Hub for? Anyone engaged in paleoclimate research, especially if interested in model-data comparison. We are working with Pangeo Forge to bring relevant model output to the cloud as well so it can be used more effectively through the Hub than by downloading massive amount of data onto your servers. However, everyone can use it and it might be particularly helpful for new comers to Python who want to learn without dealing with a local installation.
4. Where do I sign up? You can find all the information on this page.
5. I like my computer; why would I want to work in the Cloud? We are so glad you asked! Stay tuned for an upcoming blogpost by Jordan Landers on the subject!