The ESP in the news
2017
- 07/20/17: “University of Michigan robotic lab tracking Lake Erie water” — Port Clinton News Herald
- 07/11/17: “Ocean’s microbial megacity: Like humans, the sea’s most abundant organisms have clear daily cycles” — National Science Foundation
- 07/10/17: New research finds ocean’s most abundant organisms have clear daily cycles — Hawaii Reporter
- 01/23/17: Team Update
2016
- 06/02/16: “Woods Hole Oceanographic Institution and Bowdoin collaborate to monitor ‘red tide’ phytoplankton” — Bowdoin News
- 05/31/16: “Lab In A Can To Help Identify Toxic Algae Off Washington Coast” — Oregon Public Broadcasting (OBP)
- 04/23/16: “Robotic Laboratories Fan Out to Study the Seas” — Scientific American
2015
- 08/31/15: “How Many Fish in the Sea? Genetic Testing Could Answer That” — KQED Science
- 05/28/15: “Toxic bloom impacts Monterey Bay marine life” — Monterey Herald
2014
- 05/08/14: “Monitoring impacts of changing Gulf of Maine conditions on New England red tide” — Phys.org
2013
- 08/26/13: “Stanford-affiliated sea-faring robot searches for toxic algae in Puget Sound” — Stanford News
- 07/07/13: “Hi-tech ocean testing” — Stuff.co.nz
- 05/08/13: “Robotic Devices to Measure ‘Red Tides’ off Northeast” — LiveScience
- 02/13/13: “Could the sea be conscious? Research reveals how tiny plankton behave like a marine ‘megamind'” — DailyMail
- 02/11/13: “Researchers Reveal Marine Microbial Megamind” — Sci News
2010
- 02/24/10: “Underwater robot automates ocean testing” — Nature News
Long-range autonomous underwater vehicle Tethys
The range and endurance of the new long-range AUV (LRAUV) greatly expands the types of observations and experiments possible with autonomous platforms. For instance, one of the institute’s AUVs carries a comprehensive suite of sensors out to MBARI’s M2 mooring and back.
ESP Web Portal
The Environmental Sample Processor web portal provides near-real time access to the results of molecular assays conducted at sea as well as data on the environmental conditions during sampling.
Publications
Bowers, H.A., Marin, R.III, Birch, J.A., Scholin, C.A., and Doucette, G.J. (2016). Recovery and identification of Pseudo-nitzschia frustlules from natural samples acquired using the Environmental Sample Processor (ESP). Journal of Phycology, 52:135–140. http://doi.org/10.1111/jpy.12369
Herfort, L., Seaton, C., Wilkin, M., Roman, B., Preston, C., Marin, R., Seitz, K., Smith, M., Haynes, V., Scholin, C., Baptista, A., Simon, H. (2016). Use of continuous, real-time observations and model simulations to achieve autonomous, adaptive sampling of microbial processes with a robotic sampler. Limnology and Oceanography: Methods, 14:50-67. http://doi.org/10.1002/lom3.10069
