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 Elevation Change using LiDAR in R to Better Understand the 2013 Colorado Floods

This tutorial teaches how to use Digital Terrain Models derived from LiDAR data to create Digital Elevation Models of Differences that allow us to measure the change in elevation of an area after a disturbance event.

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.

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

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

Data Management using National Ecological Observatory Network’s (NEON) Small Mammal Data with Accompanying Lesson on Mark Recapture Analysis

In this lesson and accompanying teaching module, students use small mammal trapping data from the National Ecological Observatory Network to understand necessary steps of data management from field collected data to data analysis. Students explore this in the context of estimating small mammal population size using the Lincoln-Peterson model.

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.

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