Data Tutorials

NEON is building a suite of scientific data-intensive tutorials that walk users through data literacy, management, analysis and visualization in open tools including R, Python and QGIS. Tutorials are available for self-paced learning and are also grouped by theme for workshop and classroom applications. All tutorials are freely available on

Self-paced lesson and workshop content themes

NOTE: the links below take you to the site:

Be sure to check out our YouTube Channel of science videos!

Teaching Modules

NEON works with University faculty to develop data-intensive teaching modules suited for undergraduate and graduate courses. Teaching modules focus both on teaching ecological concepts and technical data skills. We are currently developing data intensive modules focused on understanding the drivers and impacts of the 2013 Colorado flood event. Prototype materials were tested at University of Colorado, Boulder in December 2015 and will be posted on in Spring 2016.

Teaching Data Subsets

NEON creates data-centered teaching modules for use by undergradute faculty. The accompanying teaching data subsets that can be used to complete individual self-paced tutorials and support data intensive workshops and courses. All materials are posted in the NEON Teaching Data Subset Figshare repository.

Workshop Material Development

Many of the self-paced data tutorials on the NEON data skills site have been grouped together into sets of workshop/teaching materials. Learn more.

Want to get involved?

We welcome all input. Please contact with feedback on any activities or ideas for new activities!