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]


Plot Continuous & Discrete Data Together

This tutorial discusses ways to plot plant phenology (discrete time series) and single-aspirated temperature (continuous time series) together.

Work with NEON's Single-Aspirated Air Temperature Data

This tutorial demonstrates how to work with NEON single-asperated air temperature data. Specific tasks include conversion to POSIX date/time class, subsetting by date, and plotting the data.

Work With NEON's Plant Phenology Data

Learn to work with NEON plant phenology observation data (NEON.DP1.10055).

Use the neonUtilities Package to Access NEON Data

40 minutes
Use the neonUtilities R package to download data, and to convert downloaded data from zipped month-by-site files into a table with all data of interest. Temperature data are used as an example.

Using the NEON API in R

1 - 1.5 hours
Tutorial for getting data from the NEON API, using R and the R package httr


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