Event - Webinar

Access NEON: Data Portal and Tools for Accessing and Understanding NEON Data – an ESA Webinar

Jun 5 2019 | 12:00 - 1:00pm MDT

Hosted By:

ESA

Start time: 2pm EDT/12pm MDT

In this 1-hour live interactive webinar, NEON scientists Megan Jones and Claire Lunch will lead all participants through the NEON website and NEON data portal to learn about the online resources and how to download NEON data.  Then, all participants will learn how to use the neonUtilities R package to format NEON data into a format that is easier to work with and to download data directly into R. The webinar will also allow opportunities for chat-supported questions and will be recorded. 

Registration: Please note that registration is required (link below). The interest for the previous webinar was greater than the number of places in the webinar. Therefore, if several people at your institution are interested in NEON data, please consider registering once and watching the webinar together. 

All participants should complete the required set up instructions below to be prepared to attend. 

This webinar is a repeat of the March 27, 2019 webinar of the same title. You can watch a recording of that webinar. 

 

Instructors

  • Megan Jones,  NEON program scientist and science educator, Twitter: @meganahjones 
  • Claire Lunch, NEON program data scientist, Twitter: @dr_lunch

Topics Covered

  • Welcome
  • What does NEON provide? Resources for learning more about NEON.
  • Code Resources for working with NEON data.
  • Accessing data via the data portal
  • Accessing data programmatically (API)
  • Additional metadata and documentation – other resources provided to help users understand and use NEON data.
  • Format of NEON data
  • “Stack” NEON data using NEON utilities – you need to do this BEFORE being able to work with most NEON data.
  • Access data programmatically directly in R
  • Additional resources: Data tutorials for learning how to use NEON data
  • Q&A

Required Setup

  • Before this online workshop webinar begins, all participants should have R (version 3.4 or higher), and preferably RStudio, installed on their computer. Participants should pre-install the neonUtilties package on their computer. For more directions see, Installing & Updating Packages in R.  However, substitute “install.packages(“neonUtilities”)” for the ggplot2 example. If you have any problems with the installation, please email Megan Jones (email before 1:00 PM EDT on 4 June 2019).   
  • Participants should have access to two monitors; one to watch the presenter in the online workshop and one to follow along on. 

 

Register Today

Location:

TBD