Work your way through our free scientific data-intensive tutorials. Skills learned include data literacy, management, analysis and visualization in open tools including R, Python and QGIS. Tutorials are available for self-paced learning and are also grouped by theme for workshop and classroom applications. All tutorials are freely available on www.neondataskills.org.
NEON creates data tutorials, background materials and other resources that support working with large spatio-temporal datasets, like those offered by the NEON project.
(The links below take you to the www.neondataskills.org site.)
- Data Tutorials Using the R Programming Language
- Introduction to and Work with the Hierarchical Data Format (HDF5) in R
- Introduction to and Work with Light Detection & Ranging (LiDAR) Remote Sensing Data in R
- Introduction to and Work with Hyperspectral (Imaging Spectroscopy) Remote Sensing Data
- Work with Spatial Data (GIS) in R
- Data Visualization
Be sure to check out our YouTube Channel of science videos!
NEON works with university faculty to develop data-intensive teaching modules suited for undergraduate and graduate courses. Teaching modules focus both on teaching ecological concepts and technical data skills. Explore our teaching modules! All teaching modules are also crosslisted on QUBES Hub (Quantitative Undergradute Biology Education and Synthesis).
Teaching Data Subsets
NEON creates data-centered teaching modules for use by undergradute & graduate faculty. The accompanying teaching data subsets that can be used to complete individual self-paced tutorials and support data intensive workshops and courses. All materials are posted in the NEON Teaching Data Subset Figshare repository.
Want to get involved?
We welcome all input. Please contact us with feedback on any activities or ideas for new activities!