Working with data from the US National Ecological Observatory Network

This repository contains the code that will be used for the 2023 GLEON virtual meeting (https://gleon.org/meetings/GLEON2023Virtual/Program_Overview) and 2022 GLEON all hands meeting workshop: Working with data from the US National Ecological Observatory Network (https://gleon.org/meetings/gleon22/Workshops).

Organized by Kevin Rose (Rensselaer Polytechnic Institute) and led by Kaelin Cawley, Bobby Hensley, and Stephanie Parker (all from NEON).

Preparation for the workshop

1. Optional, but very helpful! Create an API token using the instructions in the following tutorial, which shouldn’t take more than 10 minutes (https://www.neonscience.org/resources/learning-hub/tutorials/neon-api-tokens-tutorial)
2. Ensure that you have a recent R version installed on your computer. (Tutorial leaders will have version >= 4.2.0)
3. The tutorial leaders will use RStudio, which is also recommended, but optional.
4. Install required packages: neonUtilities, tidyverse, ecocomDP, vegan, ggplot2, and lubridate.. You can run the following to install all the packages: install.packages(c(‘neonUtilities’,‘tidyverse’,‘ecocomDP’,‘vegan’,‘ggplot2’,‘lubridate’))

Agenda for the Feb 2023 virtual workshop

1. 2 recorded introductory videos for the NEON Observatory and data portal
2. A recorded 4-part aquatic instrument system coding tutorial
3. A recorded 3-part aquatic macroinvertebrate diversity coding tutorial
4. There will be a live Q&A session Tuesday February 14th at 13:00 UTC

Agenda for the Oct 2022 in-person workshop

1. 20 minute introduction to the NEON Observatory and data portal
2. 70 minute live coding tutorial in R using lake chemical and physical data (NEON-AIS-data-GLEON2022.Rmd script in this repo)
3. 30 minute break
4. 60 minute live coding tutorial in R using lake biological data (https://www.neonscience.org/resources/learning-hub/tutorials/neon-biodiversity-ecocomdp-cyverse)

Introduction Links

Getting started with NEON data: https://www.neonscience.org/resources/getting-started-neon-data-resources

Contact us form: https://www.neonscience.org/about/contact-us

Teaching Modules: https://www.neonscience.org/resources/learning-hub/teaching-modules
QUBES modules: https://qubeshub.org/community/groups/neon/educational_resources
EDDIE modules : https://serc.carleton.edu/eddie/macrosystems/index.html

Spatial data and maps: https://neon.maps.arcgis.com/home/index.html

NEON data portal: https://data.neonscience.org/

NEONScience GitHub repo: https://github.com/NEONScience
GLEON-NEON 2022 Workshop GitHub repo: https://github.com/NEONScience/WORKSHOP-GLEON-NEON-2022

Usage

This repository is designed to be used with NEON data as part of a virtual tutorial taking place February 2023 (https://gleon.org/meetings/GLEON2023Virtual/Program_Overview) or live tutorial taking place October 30th, 2022 (https://gleon.org/meetings/gleon22/Program_Overview).

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

CC0 1.0 Universal

Disclaimer

Information and documents contained within this page 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.