Welcome to the NEON Data Skills GitHub Repo!

NEON Data Skills provides tutorials and resources for working with scientific data, including that collected by the National Ecological Observatory Network (NEON). NEON is an ecological observatory that will collect and provide open data for 30 years.

For more information on NEON, visit the website: www.neonscience.org

This repo contains the materials used to build the NEON Data Skills resources that are available for use on the NEON Data Skills section of the NEON website.

Version 2.0 Note that as of 11/20/2020 NEON has updated this repo to version 2.0 with several changes. This transition coencides with the upgrade to the www.neonscience.org website. Most notably, the default repository has been changed from 'master' to 'main', and the 'master' repository is now deprecated, renamed to 'old-master', and will not be maintained. The new 'main' repository has been re-organized so that each tutorial markdown file (*.md), and all of its associated files (*.Rmd/*.ipynb, *.r/*.py, *.html, and code-generated figures) are now contained within a single directory within the /tutorials/ directory, rather than distributed across multiple high-level directories (/code/, /graphics/, etc.).

Usage

Contributing

If you would like to make a change to one of the resources, please fork the repo and make a pull request to the main branch with the suggested change. All pull requests are reviewed for scientific accuracy and educational pedagogy. Individuals who make significant contributions can request to be listed as contributors on individual tutorials.

Please start by copying the template (/tutorials-in-development/0_templates_style_guide/tutorial-template-.) if you are creating a new tutorial.

Questions?

Having a problem getting something to work or want to know why the repo is setup in a certain way? Email us neondataskills -AT- BattelleEcology.org or file a GitHub Issue.

Credits & Acknowledgements

The National Ecological Observatory Network is a project solely funded by the National Science Foundation and managed under cooperative agreement by Battelle. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

License

GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007

Disclaimer

Information and documents contained within this repository are available as-is. Codes or documents, or their use, may not be supported or maintained under any program or service and may not be compatible with data currently available from the NEON Data Portal.