Dataset: Acartia tonsa body size data for transgenerational ocean warming and acidification experiments

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.906342.1Version 1 (2023-09-07)Dataset Type:experimental

Principal Investigator: Hans G. Dam (University of Connecticut)

Co-Principal Investigator: Hannes Baumann (University of Connecticut)

Co-Principal Investigator: Michael Finiguerra (University of Connecticut)

Co-Principal Investigator: Melissa Pespeni (University of Vermont)

Scientist: Reid Brennan (University of Vermont)

Student, Contact: James deMayo (University of Connecticut)

Student: Gihong Park (University of Connecticut)

Technician: Lydia Norton (University of Connecticut)

BCO-DMO Data Manager: Karen Soenen (Woods Hole Oceanographic Institution)


Project: Collaborative Research: Response of marine copepods to warming temperature and ocean acidification (Copepod Response to Warming Temp and OA)


Abstract

These data include body size measurements collected for Acartia tonsa during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM). These data were collected every third generation between F0 and F15 and at F25 for all treatments. Data was collected on C1 juveniles (C1), adult males (C6M), and adult females (C6F). Individual copepods were stained with non...

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These data are part of at multigenerational experiment of Arcatia tonsa exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM). These data were collected every third generation between F0 and F15 and at F25 for all treatments.


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Dataset: Ocean warming & acidification experiment: Acartia tonsa egg production and hatching success
Relationship Description: Dataset is part of same experiment.
deMayo, J., Dam, H. G., Park, G., Norton, L., Finiguerra, M., Baumann, H., Brennan, R., Pespeni, M. (2023) Acartia tonsa egg production rate and egg hatching success for transgenerational exposure to ocean warming and ocean acidification. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-09-07 doi:10.26008/1912/bco-dmo.906780.1
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deMayo, J., Dam, H. G., Park, G., Norton, L., Finiguerra, M., Baumann, H., Brennan, R., Pespeni, M. (2023) Acartia tonsa survival data for transgenerational ocean warming and acidification data. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-09-07 doi:10.26008/1912/bco-dmo.906222.1
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Dataset: Ocean warming & acidification experiment: Acartia tonsa development time
Relationship Description: Dataset is part of same experiment.
deMayo, J., Dam, H. G., Park, G., Norton, L., Finiguerra, M., Baumann, H., Brennan, R., Pespeni, M. (2023) Acartia tonsa development time for transgenerational experiment. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-09-07 doi:10.26008/1912/bco-dmo.906188.1

Related Publications

Results

Dam, H. G., deMayo, J. A., Park, G., Norton, L., He, X., Finiguerra, M. B., Baumann, H., Brennan, R. S., & Pespeni, M. H. (2021). Rapid, but limited, zooplankton adaptation to simultaneous warming and acidification. Nature Climate Change, 11(9), 780–786. https://doi.org/10.1038/s41558-021-01131-5
Software

R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/
Software

Schneider, C. A., Rasband, W. S., & Eliceiri, K. W. (2012). NIH Image to ImageJ: 25 years of image analysis. Nature Methods, 9(7), 671–675. https://doi.org/10.1038/nmeth.2089