Learning Hub
Data and Science Skills
Increase your understanding of ecological processes and change at large spatial and temporal scales with NEON. In addition to data, we offer educational resources that include online tutorials to gain the data skills needed to work with NEON data, teaching modules and materials for professors to use in graduate and undergraduate classrooms, and short, insightful videos about a wide variety of science topics.
Tutorials
Looking to improve your NEON data skills using specific tools like R or Python? Check out our free online tutorials designed to help you improve your data science research methods. These self-paced tutorials are designed for you to use as standalone help on a single topic or as a series to learn new techniques.
Teaching Modules
NEON's Teaching Modules make it easy to use NEON data in your classroom. Each module includes lesson outlines, curated datasets, and data skills activities to teach essential ecological concepts with accompanying data skills. Teaching modules are cross-listed on QUBES Hub.
Workshops and Courses
NEON-hosted workshops and courses are designed to support the growth of new skills needed to access, manage, visualize, analyze, interpret, and generally work with NEON data.
Code Hub
NEON data are often complex; working with data can be simplified using software or code. We maintain a Code Hub to get you started, including the neonUtilities packages in R and Python, and also links to code contributed by members of the community.