Training resources for Jornada data users

These pages contain media and hands-on lessons for environmental data science education at the Jornada Basin LTER (JRN) and Jornada Experimental Range (JER) programs. Our aim is to teach environmental data science concepts and skills to Jornada researchers using accessible methods and relatable data.

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We’re in the process of rebuilding this site with Quarto. A few things don’t work yet. Report problems and suggest additions in the issue tracker.

If you see a construction symbol (🚧) we’re still working on that part!

Setting up your environment

Most tutorials have been developed for learners using R, python, and other open-source tools. To set up an environment to work through lessons on your own or in a workshop, follow the setup instructions that apply to your lesson. Lessons rely on either simulated data or Jornada data hosted at EDI. The teaching datasets page will introduce these datasets and how to load them. Additional required software packages and suggestions for loading the data are given at the start of each lesson.

Lessons

  1. Hypothesis testing with general linear models and mixed models
  2. Using git and GitHub as a researcher
  3. Extras: Data visualization with ggplot

Upcoming workshops

Past workshops