This dataset contains oxidative stress, genotoxicity and immune response biomarkers measured in red snappers collected aboard the R/V Weatherbird II cruises WB-1602, WB-1603, WB-1701 and WB-1736 in the Gulf of Mexico from 2015-08-20 to 2017-07-30. The dataset contains the location, date and depth of sample collection. In addition it includes the fish species, fish biometric data (such as weight, sex, liver weight, gonad weight, fork and total length) and concentrations or percentages of biomarkers that indicate oxidative stress (plasma superoxide dismutase, plasma sorbitol dehydrogenase, plasma malondialdehyde), immune response (hematocrit and leukocrit percentages, differential white blood cell counts in whole blood, and plasma lysozyme), and genotoxicity (whole blood micronuclei and nuclear abnormalities). The cruise documentation was provided for the R/V Weatherbird II cruises WB-1602, WB-1603, WB-1701 and WB-1736, led by chief scientists Dr. Steven Murawski and Dr. David Hollander. This dataset supports the publication: Pulster, E. L., Gracia, A., Snyder, S. M., Deak, K., Fogelson, S., & Murawski, S. A. (2019). Chronic Sub-lethal Effects Observed in Wild-Caught Fishes Following Two Major Oil Spills in the Gulf of Mexico: Deepwater Horizon and Ixtoc 1. Deep Oil Spills, 388–413. doi:10.1007/978-3-030-11605-7_24
- Oxidative stress,
- genotoxicity,
- immune,
- blood,
- plasma,
- superoxide dismutase,
- sorbitol dehydrogenase,
- malondialdehyde,
- micronuclei,
- nuclear abnormalities,
- hematocrit,
- leukocrit,
- lysozyme,
- baseline,
- fish examination,
- red snapper,
- Lutjanus campechanus
Murawski, Steven A
University of South Florida / College of Marine Science
140 7th Ave South
St. Petersburg , FL 33701
USA
smurawski@usf.edu
Available at: http://works.bepress.com/steven-murawski/83/
Data and metadata is made available by the Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC) through a CC0 license in compliance with the Gulf of Mexico Research Initiative (GoMRI). The original dataset landing pages may be accessed at GRIIDC’s dataset monitoring webpage.