Past Events

Upcoming Events

NEON Bioarchive Working Group Meeting

May 10 - 11, 2017

This working meeting will be used to resolve key issues and questions critical to formulating the institutional framework and operation and maintenance of the NEON Bioarchive.

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2017 Undergraduate Internship Applications Due

February 10, 2017

NEON is accepting applications for a variety of research internships for undergraduates in summer 2017. Applicaitons are due Febraury 10th.  

From helping to design sensor assemblies to testing sampling protocols and analyzing data, interns work alongside staff mentors and explore career options in weekly professional development seminars and networking events with interns from other scientific programs based in Boulder, CO.

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2016 AGU Fall Meeting

December 12 - 16, 2016

Exhibit booth Information

Battelle will have information on the National Ecological Observatory Network at booth #1507 this year. A staff scientist will also being conducting NEON data portal feedback sessions during the following times so please stop by and tell us what you think!

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NSF Macrosystems Biology & Early NEON Science Proposals Deadline

October 17, 2016

The MacroSystems Biology and Early NEON Science: Research on Biological Systems at Regional to Continental Scales program will support quantitative, interdisciplinary, systems-oriented research on biosphere processes and their complex interactions with climate, land use, and invasive species at regional to continental scales as well as planning, training, and development activities to enable groups to conduct MacroSystems Biology and Early NEON Science research.

Learn more about how to apply

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NSF NEON Workshop: Topographic, geomorphic, and vegetation analysis with lidar

September 28 - 30, 2016

This workshop is part of a series of NSF/NEON supported training on the use of datasets from the NEON Airborne Observing Platform to enable new discoveries in the biophysical research community.

The workshop will be a 3-day course taught by OpenTopography and NEON lidar experts and will consist of lectures and labs on topographic, geomorphic, and vegetation analysis with lidar point clouds and derived products. The course will utilize NEON data and attendees will have the opportunity to bring their own datasets for analysis.

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