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]

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The Importance of Reproducible Science

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

Introduction to the National Ecological Observatory Network (NEON)

1.0 Hour
This page provides an overview of NEON and the data provided by NEON for use with NEON workshops and Data Institutes.

Data Institute: Install Required R Packages

1.0 - 1.5 Hours
This tutorial covers the R packages that you will need to have installed for the Institute.

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.

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