Dataset: Autonomous Underwater Vehicle Monterey Bay Time Series - CTD from AUV Makai on 2016-02-03

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.644012.1Version 1 (2023-08-15)Dataset Type:Cruise Results

Principal Investigator: Dr Chris Scholin (Monterey Bay Aquarium Research Institute)

Contact: Dr John P. Ryan (Monterey Bay Aquarium Research Institute)

Data Manager: Jasmine Nahorniak (Oregon State University)

BCO-DMO Data Manager: Stephen R. Gegg (Woods Hole Oceanographic Institution)

BCO-DMO Data Manager: Lynne M. Merchant (Woods Hole Oceanographic Institution)

Project: Center for Microbial Oceanography: Research and Education (C-MORE)

Abstract

Autonomous Underwater Vehicle (AUV) Monterey Bay Time Series from Feb 2016. This data set includes CTD and fluorometer data from the Makai AUV, as context for ecogenomic sampling using an onboard Environmental Sample Processor (ESP).

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Spatial Extent: N:36.83 E:-121.83 S:36.78 W:-121.89

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MBARI AUVs

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Scholin, C. (2023). Autonomous Underwater Vehicle Monterey Bay Time Series - AUV Makai CTD. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-08-15 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.644012.1 [access date]

Terms of Use

This dataset is licensed under Creative Commons Attribution 4.0.


If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.

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Funded by the U.S. National Science Foundation