Visualizing Smart Boulders
STOQS software helped geologists understand the submarine sediment flows.
For more details on this cool research see https://www.mbari.org/beds-sediment-flows/.
STOQS is built on X3D technology
See http://www.web3d.org for more information.
STOQS used to visualize turbidity currents – poster at AGU 2017
Though STOQS was initially created to visualize upper water column data, it has also proven adept at visualizing Benthic Event Detector data in support of a marine geology study. Results from the Coordinated Canyon Experiment were presented at the Fall 2017 Meeting of the American Geophysical Union meeting in New Orleans, Louisiana. Here is a PDF of the poster (21MB) that describes how geologists used the spatial 3D visualization feature of STOQS to understand data from the experiment.
Thanks to MBARI summer intern Rachel Kahn the STOQS project has a new clean logo!
What does the binary code spell out?
In December of 2016 a team of Computer Science students from CSUMB participated (remotely) in the VR Hackathon in San Francisco. They won first place in the X3D category! See their entry at https://devpost.com/software/stoqs-cardboard and their award photo in this tweet.
STOQS @ MBARI
The Spatial Temporal Oceanographic Query System is used operationally at the Monterey Bay Aquarium Research Institute. Follow this link for a the project description and a link to MBARI’s public STOQS data server.
Wired Magazine story
Here’s a nicely-written story from Wired Magazine about using STOQS for visualizing data from ocean roaming robots. Even though I mentioned “X3D” a dozen times in the interviews it didn’t make it into the story.
Peer reviewed paper
A paper describing the architecture and use of STOQS has just been published by the IEEE. You can see it here: http://dx.doi.org/10.1109/AUV.2014.7054414. This is currently the paper that should be cited for any publications that benefit from using STOQS.
Estimated cost of STOQS
What’s the estimated cost of the STOQS software?
See here: https://www.openhub.net/p/stoqs/estimated_cost