Using Ghub

Ghub provides functionality for computation, data access and storage, and collaboration. We document some of its capabilities here to get you started.


  1. Your Dashboard
  2. Using collaborative features
  3. Running and developing tools
  4. Dataset access
  5. Getting help

Your Dashboard

The Ghub dashboard provides easy entry to computational tools and environments, and documentation.

To use the dashboard, sign in to Ghub and click ‘Logged In’, then click ‘Dashboard’ in the pop-up menu, as shown in the screen shots below.

The Dashboard gives you easy access to your own tool sessions, submitted tickets, user profile, projects, documentation, and more.

Access your Dashboard

1. Click ‘Logged In’ in the upper right hand corner.

Ghub main page

2. Click ‘Dashboard’ in the pop-up menu that displays.

Ghub menu

3. Your Dashboard displays.

Ghub dashboard

Dashboard modules

Using dashboard modules, you can easily customize the display of useful items in your dashboard.

To personalize your dashboard: access your Dashboard as described above, then click ‘Add Modules’ to view available modules. Click a module, then click ‘Install Module’, as shown in the screenshot below, to display it.

You can choose from modules that display your tool sessions, submitted tickets, user profile, projects, documentation, and others. To rearrange the modules on your dashboard, you can drag and drop them.

Adding dashboard modules

Using collaborative features

These HUBzero documentation links will get you up and running with Ghub's collaborative features. Any registered user can contribute to the Ghub calendar, start a Project, write on group blogs and wikis, and contribute items to the wish list.

Calendar Blog Forum
Projects Wish List Wiki

Running and developing tools

Computational tools are a prominent part of Ghub. You can browse our Computational Tool Catalog to explore and run tool contributions from the community.

Examples and complete documentation on running and developing Jupyter Notebooks on GHub are presented in the Jupyter Examples tool linked below. You can develop and share your own computational tools, as well. Please reference our collected documentation, with highlights linked below, for additional information.

Dataset access

Ghub's collaborators at University at Buffalo Center for Computational Research (CCR) are excited to host the ISMIP6 data release. Data stored at CCR can now be accessed using Globus endpoints.

Comprehensive documentation about using Globus for Ghub datasets can be found at Accessing Data. Have a dataset to share? Get started with Contributing Data.

Getting help

Ghub is supported by HUBzero and by the Center for Computational Research at SUNY Buffalo. Questions? Submit a ticket or Contact Us.

Not registered? Join us on Ghub! Register now.