Dataset: Environmental sensor data from an underwater imaging system (ISIIS-3) collected during R/V Langseth cruise MGL2207 July 20-28 2022 and R/V Sally Ride cruise SR2317 August 10-20 2023 in the Northern California Current

Release Date:2025-12-31Data not availableVersion 1 (2024-11-01)Dataset Type:Cruise Results

Principal Investigator: Robert K. Cowen (Oregon State University)

Co-Principal Investigator: Su Sponaugle (Oregon State University)

Co-Principal Investigator: Kelly Rakow Sutherland (University of Oregon)

Scientist: Marco Corrales Ugalde (Princeton University)

Student: Elena Conser (Oregon State University)

BCO-DMO Data Manager: Amber D. York (Woods Hole Oceanographic Institution)


Project: Collaborative Research: Plankton size spectra and trophic links in a dynamic ocean (Plankton Size Spectra)


Abstract

During July 20-28 2022 and August 10-20 2023 an underwater imager (In Situ Ichthyoplankton Imaging System 3, ISIIS-3) was deployed from the R/V Langseth and R/V Sally Ride, respectively. The ISIIS-3 deployments were carried out from these R/Vs in the northern California Current by a team affiliated with Oregon State University, the University of Oregon, and Portland State University. The ISIIS-3 was equipped with two line scan cameras for collecting plankton imagery in addition to six enviro...

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This dataset will be updated to include additional data from deployments from the winter of 2022 and winter of 2023.


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Methods

Schmid, M. S., Daprano, D., Damle, M. M., Sullivan, C. M., Sponaugle, S., Cousin, C., Guigand, C., & Cowen, R. K. (2023). Edge computing at sea: high-throughput classification of in-situ plankton imagery for adaptive sampling. Frontiers in Marine Science, 10. https://doi.org/10.3389/fmars.2023.1187771
Software

Schmid, M. S., Daprano, D., Damle, M. M., Sullivan, C., Sponaugle, S., & Cowen, R. K. (2023). Code for segmentation, classification, databasing, and visualization of in-situ plankton imagery on edge servers at sea (Version 1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.7739010