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Track: Data Help Desk
Amber Budden
NCEAS, University of California, Santa Barbara
Santa Barbara, CA, USA
This session will involve for 4 subtopics that will last for 15 minutes each.
Cleaning data to facilitate reproducible research / Creating tidy data structures to facilitate reproducible research
Reading data directly into your analysis script: Introduction to APIs
From our servers to your research: tutorials and resources for loading NEON data into your preferred computing environment
Cloud-based data tools for research, collaboration, and workflow documentation in the aquatic sciences: Jupyter Hub and HydroShare
Presenting Author: Jeanette Clark – NCEAS, Arctic Data Center, University of California, Santa Barbara
Presenting Author: Erica Krimmel – Florida State University
Presenting Author: Marie Faust – National Ecological Observatory Network, Battelle