Data Tutorials

Looking to improve your data skills using tools like R or Python? Want to learn more about working with a specific NEON data product? NEON develops online tutorials to help you improve your research. These self-paced tutorials are designed for you to used as standalone help on a single topic or as a series to learn new techniques.

Code for all script based tutorials can be downloaded at the end of the tutorial. Original files can also be found on GitHub.

All material are freely available for you to use and reuse. We suggest the following citation:

[AUTHOR(S)]. Data Tutorial:[TUTORIAL NAME]. Accessed:[DATE OF ACCESS]. National Ecological Observatory Network, Battelle, Boulder, CO, USA. [URL]


Install Git, Bash Shell, R & RStudio

1.0 - 1.5 Hours
This page outlines the tools and resources that you will need to complete the Data Institute activities.

Set up GitHub Working Directory - Quick Intro to Bash

1.0 - 1.5 Hours
This page reviews how to check that github is installed on your computer. It also provides a quick overview of Bash shell. Finally, we will setup a working GitHub directory.

About Hyperspectral Remote Sensing Data

0.25 - 0.5 Hours
Learn about the fundamental principles of hyperspectral remote sensing data.


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