Dataset: Acartia tonsa mortality from Niskin bottles and associated CTD data from R/V Hugh Sharp HRS1316, HRS1317 in mid-Chesapeake Bay, Aug-Sept. 2013 (CopesPopDynHypoZone project)

Release Date:2018-03-01Final no updates expectedVersion (2018-01-12)Dataset Type:Cruise Results

Principal Investigator: Michael R. Roman (University of Maryland Center for Environmental Science)

Co-Principal Investigator, Contact: James J. Pierson (University of Maryland Center for Environmental Science)

Contact: Catherine Fitzgerald (University of Maryland Center for Environmental Science)

BCO-DMO Data Manager: Nancy Copley (Woods Hole Oceanographic Institution)

Project: Copepod Population Dynamics in Hypoxic Coastal Waters: Physical and Behavioral Regulation of Resupply and Advective Losses (CopesPopDynHypoZone)

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This dataset includes Acartia tonsa mortality from Niskin bottle samples and associated CTD information.

Related Datasets:
Niskin count and CTD data

Related Datasets

No Related Datasets

Related Publications

Methods
Elliott, D. T., & Tang, K. W. (2009). Simple staining method for differentiating live and dead marine zooplankton in field samples. Limnology and Oceanography: Methods, 7(8), 585–594. doi:10.4319/lom.2009.7.585

Roman, M. R., Pierson, J. J. (2018) Acartia tonsa mortality from Niskin bottles and associated CTD data from R/V Hugh Sharp HRS1316, HRS1317 in mid-Chesapeake Bay, Aug-Sept. 2013 (CopesPopDynHypoZone project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version ) Version Date 2018-01-12 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/723551 [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