To participant in this workshop, you will need a computer with a version of R >3.4 and, preferably, RStudio loaded on your computer. These computer workshop instructions must be completed before starting the workshop. Workshop Materials Computer Set Up Instructions Please tweet at use the hashtag #NEONData during this workshop! Please get in touch with the instructors prior to the workshop with any questions. Marie Faust Science Outreach Specialist NEON program, Battelle.Katie Jones Research Scientist NEON program, Battelle.Overview of NEON Plant Phenology Protocolĭownload and Explore NEON Phenology Data Code-a-long Welcome to the Workshop - Logistics Overview Logisticsĭate: Tuesday, November 29th, 12:00PM - 1:30PM MTĪll times are Eastern Daylight Time (UTC-4). This workshop is free and open for anyone who meets the prerequisites to attend. View a previous Access and Work with NEON Data Workshop here.

We also expect that participants have previously attended or viewed an Access and Work with NEON Data Workshop.View the 'Workshop Materials' section below for more details. Ensure R or R Studio and all relevant packages are installed (neonUtilities, ggplot2, dplyr).We expect participants to have a basic level of familiarity with working with R, including installing and loading packages, and data import.The second section will include a code-along guide to (a) accessing data through the NEON API from an R environment using the neonUtilities package, (b) understanding the contents and quality of various data packages, and (c) performing common data merges, visualizations, summarizations, and transformations with NEON plant phenology data. This workshop is part of a greater data skills and science seminar webinar series. Learn more about our Data Skills Webinars and Science Seminars HERE. The first section will feature an overview of the NEON plant phenology data collection protocol. The workshop will be divided into two sections. This workshop will provide an introduction to discovering, accessing and preparing plant phenology observation data, primarily using R.

R studio webinar