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.


Plotting a NEON RGB Camera Image (GeoTIFF) in Python

This lesson is a brief introduction to RGB camera images and the GeoTIFF raster format in Python.

Using neonUtilities in Python

20 minutes
Use the neonUtilities R package in Python, via the rpy2 library.

Resources for Learning R

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

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.


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