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Data Skills Webinar: Aquatic Sensor Data

This workshop will cover downloading and working with NEON Aquatic Instrument System (AIS) data.

Data Skills Webinar: Ecological Forecasting

This workshop will introduce the Ecological Forecasting Initiative Research Coordination Network’s (EFI-RCN) NEON Forecast Challenge, and provide you with all of the information and materials so that you can start submitting to the Challenge!

Office Hours: DEB Funding for NEON-Enabled Science

Join the NSF Division of Environmental Biology’s (DEB) Virtual Office Hours for the topic of funding for NEON-enabled science!

When: Monday, Sep 11, 2023. 1pm EDT (11pm MDT)

REGISTER HERE

Webinar: NEON Assignable Assets Program

Download presentation PDF

Webinar: NEON's Mobile Deployment Platforms

 


You are invited to join NEON for a webinar to learn all about NEON’s MDPs, how they work, and how you can get one working for you!

Webinar: Wednesday August 16, 2023
Time: 1pm Mountain Time


About NEON MDPs

Data Skills Webinar: Work with NEON Hyperspectral Data in Google Earth Engine

Data Skills Webinar: Evaluating diel flux cycles

This 1.5-hour webinar will explore diel cycles of carbon and water vapor fluxes, using the neonUtilities package in the R programming language.

Data Skills Webinar: Introduction to NEON Soil Sensor Data

This 1.5-hour webinar will provide an introduction to accessing and working with NEON soil sensor data, using the neonUtilities package in the R programming language.

Data Skills Webinar: Introduction to the NEON API

This 1.5-hour webinar will provide an introduction to the structure and use of APIs in general, and the NEON API in particular. Access to the API will be via Python, but the general principles are applicable to any coding language.

Data Skills Webinar: Introduction to NEON Small Mammal Data

This 1.5 hour webinar will provide an introduction to navigating and wrangling NEON's small mammal data.

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The National Ecological Observatory Network is a major facility fully funded by the U.S. National Science Foundation.

Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.