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.


Data Institute Activity: Calculate Index of Interest

30 mins
This page details the remote sensing hyperspectral imaging indices activity used during Data Institutes.

NEON AOP Hyperspectral Data in HDF5 format with Python

Learn how to read NEON AOP hyperspectral HDF5 dataset using Python and develop skills to manipulate and visualize spectral data.

Install Git, Bash Shell, Python

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

Data Institute 2016: Download the Data

This tutorial covers the data and set up the data directory you will need for the 2016 NEON Data Institute on Remote Sensing in R.

Assignment: Version Control with GitHub

Data Institute Assignment: The page lists the requirements for the week 2 assignment on version control and GitHub.


Dialog content.