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.


Assignment: Reproducible Workflows with Jupyter Notebooks

This page details how to complete the assignment for pre-Institute week 3 on documenting your code with Jupyter Notebooks.

Introduction to using Jupyter Notebooks

This tutorial cover how to use Jupyter Notebooks to document code.

Data Institute 2017: Download the Data

This tutorial covers the data and set up the data directory you will need for the 2017 Institute on Remote Sensing.

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.


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