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.

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Introduction to Hyperspectral Remote Sensing Data

5 part series
In this series, we cover the basics of working with NEON hyperspectral remote sensing data. We cover the principles of hyperspectral data, how to open hyperspectral data stored in HDF5 format in R and how to extract bands and create rasters in GeoTiff format. Finally we explore extracting a hyperspectral - spectral signature from one pixel using R.

Introduction to Hierarchical Data Format (HDF5) - Using HDFView and R

6 part series
In this series we cover what a HDF5 format is, and how to open, read, create HDF5 files in R. We also cover extracting and plotting data from HDF5 files.

Version Control with GitHub

7 part series
This series teaches why version control is important and how to use a common version control tool, GitHub. GitHub also allows for collaboration within the environment.

Plot Continuous & Discrete Data Together

This tutorial discusses ways to plot plant phenology (discrete time series) and single-aspirated temperature (continuous time series) together.

Work with NEON's Single-Aspirated Air Temperature Data

This tutorial demonstrates how to work with NEON single-asperated air temperature data. Specific tasks include conversion to POSIX date/time class, subsetting by date, and plotting the data.

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