This workshop, held at the 2022 Ecological Society of America Meeting, will guide you through the basics of data access in R, then provide time to explore NEON phenology data and resources and discuss additional data sets that may be utilized in downstream analyses.
In this workshop we will explore the breadth of NEON educational resources through the lens of remote learning, including our Tutorials, Teaching Modules, and Science Videos. We will also do some live hand-on programming in R to access and explore NEON data. The goals for this workshop are to increase your awareness of NEON resources (documents and staff!), understand the workflow for working with NEON data in R, and to highlight how each of these can fit into an online curriculum.
Join NEON staff for a workshop at the ESA/CSEE 2022 meeting: Explore and work with harmonized continental-scale biodiversity data from NEON and the US LTER!
When: 8/19/2022; 8:00 AM - 11:00 AM
Sign up when you register for the ESA/CSEE 2022 conference!
EREN (Ecological Research as Education Network), Project EDDIE (Environmental Data-Driven Inquiry and Exploration), and NEON are partnering to support a collaborative community of educators and researchers who want to explore new approaches, tools and datasets for their classrooms and research labs that combine the EREN project model with NEON data and EDDIE techniques for teaching data science.
The Landscape Exchange Network for Socio-Environmental Systems (LENS)- a National Science Foundation (NSF) Research Coordination Network- is holding a workshop to identify data and methods relevant to socio-environmental systems and connect them to NEON AOP data.
A network of educators, researchers, and data managers working to improve educational outcomes by providing STEM undergraduates and instructors with access to environmental data about the changing North, to build ecological knowledge, quantitative literacy, and engagement through inquiry.
This workshop accompanies the AGU Journals Special Collection “Advances in scaling and modeling of land-atmosphere interactions.”
This workshop aims to enable attendees to access and jointly work with both extensive network data and intensive experiment data to unveil critical and previously inaccessible aspects of surface atmosphere interactions. This workshop will publicly release the community-developed eddy4R.turb package and solicit community feedback on NEON and CHEESEHEAD19 data product and algorithm development related to surface-atmosphere interactions.
