Abstract:

This dataset contains microplankton community composition and cell counts data collected at 17 stations in the Mississippi Bight and Sound in response to the Karenia brevis Harmful Algae Bloom (HAB) that occurred during the fall of 2015 in the Mississippi Bight. Microplankton data was determined using a FlowCAM Benchtop B3 Series equipped with a 532 nm green laser to detect red (> 650 nm) and orange (575 nm) fluorescence. The final output for cell counts is presented in an Excel spreadsheet and image collages are available as portable network graphics (.png) files for each respective station. Each imaging analysis output provides .png images for the segmented particles (contained in a collage), as well as a calibration image. Data processing included removing duplicate images and classifying each particle based taxonomic description, specifically, Karenia genera (i.e., Karenia). This dataset is in support of the publication: Soto, I. M., Cambazoglu, M. K., Boyette, A. D., Broussard, K., Sheehan, D., Howden, S. D., Shiller, A. M., Dzwonkowski, B., Hode, L., Fitzpatrick, P. J., Arnone, R. A., Mickle, P. F., & Cressman, K. (2018). Advection of Karenia brevis blooms from the Florida Panhandle towards Mississippi coastal waters. Harmful Algae, 72, 46–64. doi:10.1016/j.hal.2017.12.008

Suggested Citation:

Adam Boyette, Inia Soto Ramos, Kristina Broussard. 2018. Dataset for: Advection of Karenia brevis from the Florida panhandle towards Mississippi coastal waters. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7MC8XNH

Publications:

Soto, I. M., Cambazoglu, M. K., Boyette, A. D., Broussard, K., Sheehan, D., Howden, S. D., … Cressman, K. (2018). Advection of Karenia brevis blooms from the Florida Panhandle towards Mississippi coastal waters. Harmful Algae, 72, 46–64. doi:10.1016/j.hal.2017.12.008

Purpose:

This data was collected in response to a Karenia brevis bloom affecting the Mississippi Bight (from Florida Panhandle to Mississippi Delta). Data was used to identify affected locations near the Mississippi Sound and predict advection using circulation models.

Data Parameters and Units:

Dataset contains a read me file, a folder per sample replicate and an excel file (“MS Sound HAB_FlowCAM”) that contains date (MM/DD/YY), field campaign name, station name, sample depth (m), latitude (decimal degrees N), longitude (decimal degrees W), temperature (T, degrees C), salinity (S, psu), image processing replicate (a,b,c), total particle count, Karenia count, Karenia concentration (cell/L), FlowCAM collage filename. Each folder Each imaging analysis output provides .png images for the segmented particles (contained in a collage), as well as the calibration image. This calibration image is generated at the beginning of the run and is used to average the background in the camera's field of view. Sometimes particles may get stuck in this field of view, in which case the FlowCAM needs to be recalibrated during the sample run. Each output file is accompanied by two text files ("..._notes" and "..._run_summary") in which the user provides information about the station and sample acquisition, as well as a classification summary (.csv file) generated by the FlowCAM software. A detail description of all the files provided for each station can be found in the readme file.

Methods:

Microplankton (20-200 µm) (i.e. phytoplankton and microzooplankton protists) community composition and cell counts were conducted using a FlowCAM Benchtop B3 Series equipped with a 532 nm green laser to detect red (> 650 nm) and orange (575 nm) fluorescence. Particles within a single 5 mL unconcentrated natural sample were imaged through a 10x objective and 100 µm flow cell (FC100) using trigger mode (TM). Aliquots of ~30.0 mL per sample were run immediately after retrieval from Niskin bottle and took approximately 0.5 h to analyze. The FlowCAM classification protocol for microplankton (20-200 µm) was developed by the user from training sets and libraries based on magnification: 100x and 40x. Each library and training set was created by the user and is housed in its respective folder held by the user. The purpose of the classification is to quantify phytoplankton and other microbial protists, larval crustaceans, and their allies to the best of the imaging system's capability. Post-processing consisted of examination of individual list files, which are the file extensions used by the Visual Spreadsheet software. These file types are supported only by a satellite license obtainable from Fluid Imaging Technologies, INC. Using the Visual Spreadsheet software (v. 3.7.5). Data processing included removing duplicate images and classifying each particle based taxonomic description, specifically, Karenia genera (i.e. Karenia). Taxonomic references by Steidinger (1997) and the Louisiana Universities Marine Consortium (LUMCON) online guide to phytoplankton in Louisiana estuarine and coastal waters (http://phytoplanktonguide.lumcon.edu/) were used to identify Karenia phytoplankton genera.

Instruments:

FlowCAM User Manual (Version 3.4). Fluid Imaging Technologies, Inc. www.fluidimaging.com

Provenance and Historical References:

Louisiana Universities Marine Consortium (LUMCON) online guide to phytoplankton in Louisiana estuarine and coastal waters (http://phytoplanktonguide.lumcon.edu/) Steidinger, K.A., K. Jangen. 1997. Chapter 3 - Dinoflagellates (pp 387-584) in "Identifying Marine Phytoplankton," Editor(s): Carmelo R. Tomas, Academic Press, 1997. ISBN 9780126930184.

Individual Files: