Link to Recording: link to video file on Google DriveSlides: presentations folder on Google DriveChair: Rowland Schweitzer
Scientific visualization remains an important part of data discovery, research, and communication. There is a
proliferation of tools for data visualization, but there is often a disconnect between the tools used for visualization in the working phase of data exploration and the tools available for communication. Science groups often have to seek out the help of overworked computing systems staff personnel to put their data to work communicating NOAA’s science mission outside of their laboratory. This session invites talks on visualization systems that help bridge that gap, be it desktop tools that can be connected to the Web (like PyFerret via Notebooks), Live Access Server (with its new admin web interface for configuring data), to systems like DASH which allow the use of Python data tools like Panda Dataframes and Numpy while automatically connecting the resulting visualization to the Web. What tools are you using to put visualization to work on NOAA’s data?
Presentations (abstracts in this Google Doc):
- A Dashing Data Display -- Harnessing the Hype of Data Dashboards
Roland Schweitzer, Kevin O'Brien - MetaPipe: Raw metabarcoding reads to presentable data products via a rapid bioinformatics pipeline
Sean McAllister, Matt Galaska, Emily Norton, Chris Paight - Ocean WRIT: Wb-based Reanalysis Intercomparisons
Cathy Smith, Michael Alexander, Gilbert Compo, Matthew Newman - Using Teamwork as a Tool for Scientific Communication
Jessicca Griffin, Laura E. Stevens, Sarah M. Champion - Geographic Data Interoperability and Visualization with Python
Seth Urion, Megan Moore, Brendan Sylvander, Jeff Cowen - Data Visualization for Surface Ocean Carbon and Ocean Acidification Time Series Observations
John Osborne, Adrienne Sutton, Sylvia Musielewicz, Stacy Maenner, Roman Battisti, John Evans, Randy Bott, Sean Dougherty - Python Killer Whale and Salmon Art
Brendan Sylvander, Mike Ford, Seth Urion
