Data and Samples
NEON takes millions of measurements and collects thousands of samples every year. This is your portal to access them.
NEON delivers hundreds of data products including organismal counts and measurements, water quality, energy fluxes, and remotely sensed vegetation indices. Data are free and open for all.
Samples & Specimens
Our field ecologists collect soil, organismal, and water samples and specimens throughout the year. A large proportion of these are available for your research.
Find data on archived physical samples and information on how to request a loan at the Arizona State University Biorepository.
NEON occasionally updates our data products and posts notifications. For the latest changes and updates, see Data Notifications.
How we collect data and samples
Data and samples are collected by highly trained staff with state-of-the-art technology and protocols.
A complex network of thousands of automated sensors in freshwater aquatic and terrestrial ecosystems collects data around the clock.
Field ecologists collect samples and measurements year-round, in all environments and conditions.
Airplanes equipped with a high-resolution camera, hyperspectrometer, and lidar system fly over sites near peak greenness to monitor land cover characteristics.
Details about data and samples
You've identified which data or samples will help you. Here's everything else you need to know to get results.
Plan your research with an understanding of our sampling and publication schedules.
All the details about data publishing, including data formats, archiving, and sharing with other repositories.
All about data and sample processing pipelines, from collection to published product or archive.
We strive for the best quality possible, with systematic processes for sensor calibrations, lab audits, and data reviews.
Learn about how we generate static data releases to support reproducible science, as well as revisions to our data products.
Some datasets are hosted by specialized data repositories such as Ameriflux and BOLD. Learn why, and how to access these data.