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.

Please note this section is currently under development, to explore additional tutorials in the interim, visit our older NEON Data Skills portal.


Raster 07: Extract NDVI Summary Values from a Raster Time Series

This tutorial covers how to extract and plot NDVI pixel values from a raster time series stack in R. We will use ggplot2 to plot our data.

HDFView: Exploring HDF5 Files in the Free HDFview Tool

0.25 - 0.5 Hours
Explore HDF5 files and the groups and datasets contained within, using the free HDFview tool. See how HDF5 files can be structured and explore metadata. Explore both spatial and temporal data stored in HDF5!

Create HDF5 Files in R Using Loops

1.0 - 1.5 Hours
Create a HDF5 in R from scratch! Add groups and datasets. View the files with HDFView.

Working With Time Series Data Within a Nested HDF5 File in R

1.0 - 1.5 Hours
Explore, extract and visualize temporal temperature data collected from a NEON flux tower from multiple sites and sensors in R. Learn how to extract metadata and how to use nested loops and dplyr to perform more advanced queries and data manipulation.

Getting Started with the R Programming Language

This tutorial presents the basics of using R.


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