MBARI creates and globally scales the visionary technologies required to explore, map, and understand our changing ocean.
Resources for educators, students, and anyone aspiring to learn how science and technology brings us closer to the ocean.
Integrate MBARI data with lesson plans and workshops.
Discover deep-sea critters, including exclusive footage and info.
Dive into topics about ocean health and its fascinating features.
Explore deep-sea observations with this interactive guide.
Learn about the MLML/MBARI Research Library at SJSU.
Access more educational resources from the teams at MBARI.
MBARI is a non-profit oceanographic research center advancing marine science and engineering to understand our changing ocean.
Learn about MBARI’s mission, vision, and values.
Learn about our strategic priorities for the years ahead.
Meet our staff, leadership, and board of directors.
Find job openings and postdoc and internship opportunities.
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See upcoming seminars, lectures, and public events.
Access the latest annual reports and financial information.
Explore MBARI’s rich history spanning over three decades.
Get media-specific information and assets.
Find the latest job openings and join the team.
Learn about our summer internship program.
Meet our leadership and staff.
Discover deep-sea critters of all types.
Search MBARI’s library of data.
Learn about our technologies.
The MBARI Oceanographic Decision Support System (ODSS) provides real-time feedback of research activity in Monterey Bay and provides a coordinated view of all ships, vehicles, and instruments involved in MBARI experiments.
We utilize the ODSS for situational awareness, experiment planning, collaboration, and data analysis. In the ODSS, ocean scientists collaboratively design their experiments, communicate with other participants, track asset locations, and command robotic vehicles at sea. Data from these assets are retrieved when communication is possible, stored, then made available for download or playback from a single portal for further analysis either by human or machine learning methods.
R/V Rachel Carson
Autonomous underwater vehicle (AUV)
R/V Western Flyer
Long-range autonomous underwater vehicle (LRAUV)