The NEON Data Skills program is dedicated to providing online resources and learning opportunities for people interested in building essential data skills for using large spatiotemporal data like NEON data.
Our materials focus on fundamental concepts and skills needed to work with a variety of data types and formats—including spatial data, time-series data, and remote sensing data. Topics range from data literacy, data management and data wrangling to visualization and are developed and tested with extensive community input. All tutorials utilize free and open tools such as R, Python, QGIS, plot.ly and more.
We also collaborate with other institutions, scientists and educators to create tutorials, teaching materials and workshops. If you are interested in working with us, please contact us.
Looking to improve your data skills using specific tools like R or Python? Want to learn more about working with a specific NEON data product?
NEON develops online tutorials to help you improve your research. These self-paced tutorials are designed for you to used as standalone help on a single topic or as a series to learn new techniques.
For educators, NEON provides Teaching Modules that include 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.
We welcome inquires from instructors interested in using NEON data in their own classrooms. In addition, learn more about our NEON/QUBES Faculty Mentoring Network, which provides a collaborative space for faculty to adapt, develop, or implement teaching resources using NEON data.
Workshops can range from a few hours to a week and teach specific skills and provide more insight into NEON data.
NEON offers annual multi-day Data Institutes that provides critical skills and foundational knowledge for graduate students and early career scientists working with heterogeneous spatio-temporal data to address ecological questions.
These videos give you a better understanding of the NEON project, explain data collection techniques, and explore scientific concepts related to ecological data. Many of them are short, engaging animated videos that teach key data concepts and tell ecological stories using data and are perfect for adding to presentations and classroom discussions.