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Introductions to Working with Different Data Types

Learn how to work with NEON location data, using examples from vegetation structure observations and soil temperature sensors.See more information about API tokens here, and learn how to use a token with neonUtilities in this tutorial. Using an API token can make your downloads faster, and helps NEON by linking your user account to your downloads.If you prefer to use Python, the Using neonUtilities in Python tutorial provides instructions for using the rpy2 package to run neonUtilities in a Python environment.Many more details about the neonUtilities package, and the input parameters available for its functions, are available in the neonUtilities cheat sheet.

The Download and Explore NEON Data tutorial will guide you through using the neonUtilities package in R to transform NEON data, and how to use the metadata that accompany data downloads to help you understand the data.

Start with a short video guide to downloading data from the NEON Data Portal.

It includes both foundational skills for working with NEON data, and tutorials that focus on specific data types, which you can choose from based on your interests.įoundational Skills and Tools to Access NEON Data This Data Tutorial Series is designed to provide you with an introduction to how to access and use NEON data.