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]


Resources for Learning R

A brief overview of available resource to get started learning R.

Install & Set Up Docker For Use With eddy4R

20 minutes
This tutorial provides the basic steps for setting up and using Docker to work with the eddy4R R package in a Docker container.

Work with NEON OS & IS Data - Plant Phenology & Temperature

3 part series
Learn to work with NEON plant phenology (Observational System) and single aspirated air temperature (Instrumented System) data products.

Document Your Code with R Markdown

3 part series
This series teaches you to use the R Markdown file format to document code and efficiently publish code results & outputs.

Introduction to Working With Time Series Data in Text Formats in R

8 part series
The tutorials in this series cover how to open, work with and plot with phenology-related micrometeorological data in R. Additional topics include working with time and date classes (e.g., POSIXct, POSIXlt, and Date), subsetting time series data by date and time and created facetted or tiles sets of plots.


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