Special Session 7 (SS7):
Wednesday, September 20, 2017 3:30-5:00 pm
Demonstrating Pathways of Access to Near-Real Time Oceanographic Data from the NSF Ocean Observatories Initiative Holders
Location: Tikahtnu Ballroom C
Convener/Organizer/Speaker: Greg Ulses, firstname.lastname@example.org
Organizer: Leslie Smith, email@example.com
Session Format: Demonstration Workshop
Attendance: Open to all registered for OCEANS’17 and those with Exhibition Hall
- Freely accessible, near-real time oceanographic data has opened the doors for a broad range of stakeholders to utilize oceanographic data for research, long-term monitoring, model development, and classroom curricula. Anyone working in, or interested in, the ocean can now access key ocean data.
Figure 1. OOI Array Locations
- In this special demonstration session, the Data Team from the U.S. National Science Foundation’s Ocean Observatories Initiative (OOI) will provide live demonstrations and key information on the variety of ways in which the scientific and engineering communities can connect with OOI data. Topics explored will include various methods of data access, such as quick-look plotting, asynchronous downloads, ERDDAP, and setting up a Machine-to-Machine interface. Tools will be demonstrated and help/tutorial information will be provided for future exploration.
Figure 2. There are many avenues through which to access OOI Data.
- Additionally, the Data QA/QC process will be described including automated QC algorithms, human in the loop QC by the data team, data annotation, and additional data validation opportunities.
Figure 3. OOI data quality control process
- Lastly, tools will be demonstrated that have been created by OOI staff and members of the community to analyze raw data streams, including sensor algorithm Python modules. The OOI Data Forum will also be discussed as a connection platform for individuals to share their own algorithms and data processing techniques or questions with the community.
We welcome members of the audience to describe their own use of the data, tools, or modules they have created to utilize the data, etc.