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Workshops & Courses

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Workshops

NEON offers half-day to three-day workshops to train students and researchers on key skills and publicly available tools for working with NEON data. Many workshops are held at regional or national conferences, and many are now 100% virtual events, ensuring safety and improving accessibility for all participants. Interested in hosting a workshop at your institution or conference? Contact us

Workshop Materials

Most NEON workshops cover one or more of the following topics:

  • Overview of NEON data collection
  • Overview of one NEON data collection system, or a particular family of data products
  • Recent research highlights
  • Data access: Data Portal tour and instruction
  • Data access: Data download and wrangling in R
  • Data use: Work with a particular data product or set of data products
  • Data use: Work with NEON data in a particular platform, such as Google Earth Engine.

Workshops focused on hands-on training in working with NEON data are all based on tutorials hosted on the NEON Learning Hub. The most common training topics can be found in the Get Started with NEON Data tutorial series.

Visit the Upcoming and Past Events pages to view current and past workshops.

View Upcoming Events

View Past Events

Workshop Videos

View past workshops on our YouTube Channel.

 


Courses

In addition to workshops focused primarily on NEON data, NEON participates in short courses led by the community, which provide in-depth training in a particular field of study. Currently active short courses with NEON material include:

  • Flux Course
  • Spectral Ecology Summer School

If you lead a short course on a NEON-relevant topic, or are developing a proposal for a short course, and would like to discuss the possibility of including NEON instruction in your course, Contact Us. 

 

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Copyright © Battelle, 2026

The National Ecological Observatory Network is a major facility fully funded by the U.S. National Science Foundation.

Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.