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.

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Data Activity: Visualize Palmer Drought Severity Index Data in R to Better Understand the 2013 Colorado Floods

This tutorial walks through how to download and visualize Palmer Drought Severity Index data in R. The data specifically downloaded for this activity allows one to to better understand a driver of the 2013 Colorado floods.

Data Activity: Visualize Precipitation Data in R to Better Understand the 2013 Colorado Floods

This lesson walks through the steps need to download and visualize precipitation data in R to better understand the drivers and impacts of the 2013 Colorado floods.

Open HDF5 files with Python Sample Code

This tutorial provides basic code for opening an HDF5 file in Python using the h5py, numpy, and matplotlib libraries.

Interactive Data Visualization with R and Plotly

Learn the basics of how to use the plotly package to create interactive plots and use the Plotly API in R to share these plots.

Hierarchical Data Formats - What is HDF5?

0.25 - 0.5 Hours
An brief introduction to the Hierarchical Data Format 5 (HDF5) file/data model. Learn about how HDF5 is structured and the benefits of using HDF5.

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