The National Ecological Observatory Network (NEON) is a National Science Foundation funded project designed to collect long-term, open-access data to better understand ecological change at continental scales. NEON includes 34 freshwater aquatic field sites spread across 19 different ecoclimatic regions, from Puerto Rico to Alaska. These sites are instrumented with an array of automated sensors collecting meteorological, hydrological, and biogeochemical data at high-frequencies. This data is made publicly available to prospective users through the NEON data portal (data.neonscience.org).
This workshop will teach participants how to access, interpret, manipulate, and visualize NEON hydrologic and water quality sensor data; a basic familiarity with R is required for the live coding. The live coding also covers some basic strategies for interpreting quality flags, cleaning, and gap-filling Aquatic Instrument System (AIS) data prior to use. The code and supporting information can be found on GitHub (github.com/NEONScience/WORKSHOP-ASLO-2025).
Agenda:
10:00 am - Introductions and Overview 10:20 am - Browsing the data portal, document library, and spatial data repository 10:30 am - Live Coding - downloading data using R and the API 11:00 am - Live Coding - merging and plotting data 11:45 am - 15-minute break 12:00 pm - Live coding - cleaning and gap-filling data 1:00 pm - Discussion, networking, and social time 2:00 pm - Adjourn