Training resources for Jornada data users

These pages contain educational materials for hands-on environmental data science learning 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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The repository collects instructional materials for teaching introductory to intermediate data science topics environmental science researchers associated with the Jornada Basin LTER and Jornada Experimental Range programs. Many of the tutorials here are modeled to some degree on lessons from The Carpentries (particularly Data Carpentry) and we often use the Carpentries instructional model during workshops.

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