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            <gco:CharacterString>Cite this dataset as: Balch, W. M., Archer, S. D., Drapeau, D. T., Godrijan, J. (2023) FlowCAM enumeration of phytoplankton classes from samples taken during R/V Endeavor cruise EN616 in July 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-01-27 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.887787.1 [access date]</gco:CharacterString>
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        <gco:CharacterString>Dataset Description: &amp;lt;p&amp;gt;This dataset is part of a larger study with the following goals:&amp;lt;/p&amp;gt;

&amp;lt;ul&amp;gt;
&amp;lt;li&amp;gt;&amp;lt;strong&amp;gt;Goal #1&amp;lt;/strong&amp;gt;: measure the mixotrophic uptake and assimilation of 14C-acetate, 14C-mannitol and 14C-glycerol as a carbon source by natural assemblages of coccolithophores and compare it to their autotrophic uptake and assimilation of DIC. These three organics were chosen due to their high potential for significant osmotrophy by coccolithophores as seen in previous culture studies (Godrijan et al. (2020) and BCO-DMO dataset:&amp;amp;nbsp;&amp;lt;a href=&amp;quot;https://www.bco-dmo.org/dataset/858771&amp;quot; style=&amp;quot;margin: 0px; padding: 0px; border: 0px; font: inherit; vertical-align: baseline; text-decoration-line: none; color: rgb(0, 102, 153);&amp;quot;&amp;gt;https://www.bco-dmo.org/dataset/858771&amp;lt;/a&amp;gt;).&amp;amp;nbsp;The design of these experiments used radiochemical and single cell/flow cytometer methods to distinguish osmotrophy of coccolithophores from that by other naturally-occurring microalgae.&amp;lt;/li&amp;gt;
&amp;lt;li&amp;gt;&amp;lt;strong&amp;gt;Goal #2&amp;lt;/strong&amp;gt;: test for the fixation of 14C-labeled organics into both POC and PIC fractions in natural populations of coccolithophores, in order to examine the potential role of coccolithophore osmotrophy in the&amp;amp;nbsp;biological carbon pump and alkalinity carbon pump paradigms.&amp;lt;/li&amp;gt;
&amp;lt;/ul&amp;gt; Methods and Sampling: &amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;At sea collections&amp;lt;/strong&amp;gt;&amp;lt;br /&amp;gt;
Nine stations were visited during R/V Endeavor&amp;amp;nbsp;EN616 cruise in the northwest Atlantic.&amp;amp;nbsp;&amp;amp;nbsp;&amp;lt;br /&amp;gt;
At eight depths, three 10L Niskin samples were taken for discrete measurements of:&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;1. Chlorophyll, nutrients including nitrate, nitrite, ammonium, phosphate, and silicate&amp;amp;nbsp;&amp;lt;br /&amp;gt;
2.&amp;amp;nbsp;Particulate organic carbon (POC) plus particulate organic nitrogen (PON)&amp;amp;nbsp;&amp;lt;br /&amp;gt;
3.&amp;amp;nbsp;Particulate inorganic carbon (PIC)&amp;lt;br /&amp;gt;
4.&amp;amp;nbsp;Biogenic silica&amp;lt;br /&amp;gt;
5. Birefringence counts of coccolithophores (done ashore)&amp;amp;nbsp;&amp;lt;br /&amp;gt;
6. Shipboard Yokogawa Fluid Imaging Technologies FlowCam imaging cytometer, in order to enumerate the major microalgal classes and estimate the particle size distribution function&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;Measurements 1 to 4 are part of BCO-DMO dataset 837074 (See&amp;amp;nbsp;&amp;lt;a href=&amp;quot;https://www.bco-dmo.org/dataset/837074&amp;quot; style=&amp;quot;margin: 0px; padding: 0px; border: 0px; font: inherit; vertical-align: baseline; text-decoration-line: none; color: rgb(0, 102, 153);&amp;quot;&amp;gt;https://www.bco-dmo.org/dataset/837074&amp;lt;/a&amp;gt;, and the Related Datasets section below).&amp;lt;br /&amp;gt;
Measurement 5 of birefringence counts data is BCO-DMO dataset 887863 (See&amp;amp;nbsp;&amp;lt;a href=&amp;quot;https://www.bco-dmo.org/dataset/887863&amp;quot; style=&amp;quot;margin: 0px; padding: 0px; border: 0px; font: inherit; vertical-align: baseline; text-decoration-line: none; color: rgb(0, 102, 153);&amp;quot;&amp;gt;https://www.bco-dmo.org/dataset/887863&amp;lt;/a&amp;gt;, and the Related Datasets section below).&amp;lt;br /&amp;gt;
Measurement 6 is flow cytometer data presented in &amp;lt;strong&amp;gt;this &amp;lt;/strong&amp;gt;dataset.&amp;amp;nbsp;&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;FlowCAM enumeration of various phytoplankton classes&amp;lt;/strong&amp;gt;&amp;lt;br /&amp;gt;
A Yokogowa FlowCAM imaging cytometer was used to enumerate different classes of phytoplankton.&amp;amp;nbsp; The instrument was keyed on particle backscattering and fluorescence properties.&amp;amp;nbsp; Samples were first filtered through 100um Nitex mesh to make sure the 100um diameter flow chamber did not clog.&amp;amp;nbsp; The instrument was run with a 10X objective in order to reliably count particles bigger than 4-5um diameter. Samples were processed according to Poulton and Martin (2010).&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;Concentrations (per mL), percent contribution with respect to total particles, and biomass are presented.&amp;amp;nbsp; Carbon biomass was determined&amp;amp;nbsp;based on the Menden-Deuer &amp;amp;amp; Lessard (2000) method.&amp;amp;nbsp;&amp;amp;nbsp;&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;amp;nbsp;&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;amp;nbsp;&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;amp;nbsp;&amp;lt;/p&amp;gt;</gco:CharacterString>
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        <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/award/648015.rdf" xlink:title="OCE-1635748" xlink:actuate="onRequest">Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1635748 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1635748</gmx:Anchor>
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Coccolithophores are single-cell algae that are covered with limestone (calcite) plates called coccoliths. They may make up most of the phytoplankton biomass in the oceans. Coccolithophores are generally considered to be autotrophs, meaning that they use photosynthesis to fix carbon into both soft plant tissue and hard minerogenic calcite, using sunlight as an energy source (&quot;autotrophic&quot;). However, there is an increasing body of evidence that coccolithophores are &quot;mixotrophic&quot;, meaning that they can fix carbon from photosynthesis as well as grow in darkness by engulfing small organic particles plus taking up other simple carbon molecules from seawater. The extent to which Coccolithophores engage in mixotrophy can influence the transfer of carbon into the deep sea. This work is fundamentally directed at quantifying coccolithophore mixotrophy -- the ability to use dissolved and reduce carbon compounds for energy -- using lab and field experiments plus clarifying its relevance to ocean biology and chemistry. This work will generate broader impacts in three areas: 1) Undergraduate training: Two REU undergraduates will be trained during the project. The student in the second year will participate in the research cruise. 2) Café Scientifique program: This work will be presented in Bigelow Laboratory’s Café Scientifique program. These are free public gatherings where the public is invited to join in a conversation about the latest ideas and issues in ocean science and technology. 3) Digital E-Book: We propose to make a digital E-book to specifically highlight and explain mixotrophy within coccolithophores. Images of mixotrophic coccolithophores would be the primary visual elements of the book. The E-book will be publicly available and distributed to our educational affiliate, Colby College. The goal of the book is to further communicate the intricacies of the microbial world, food web dynamics, plus their relationship to the global carbon cycle, to inspire interest, education, and curiosity about these amazing life forms.&lt;/p&gt;
&lt;p&gt;Coccolithophores can significantly affect the draw-down of atmospheric CO2 and they can transfer CO2 from the surface ocean and sequester it in the deep sea via two carbon pump mechanisms: (1) The &quot;alkalinity pump&quot; (also known as the calcium carbonate pump), where coccolithophores in the surface ocean take up dissolved inorganic carbon (DIC; primarily a form called bicarbonate, a major constituent of ocean alkalinity). They convert half to CO2, which is either fixed as plant biomass or released as the gas, and half is synthesized into their mineral coccoliths. Thus, coccolithophore calcification can actually increase surface CO2 on short time scales (i.e. weeks). However, over months to years, coccoliths sink below thousands of meters, where they dissolve and release bicarbonate back into deep water. Thus, sinking coccoliths essentially &quot;pump&quot; bicarbonate alkalinity from surface to deep waters, where that carbon remains isolated in the abyssal depths for thousands of years. (2) The &quot;biological pump&quot;, where the ballasting effect of the dense limestone coccoliths speeds the sinking of organic, soft-tissue debris (particulate organic carbon or POC), essentially &quot;pumping&quot; this soft carbon tissue to depth. The biological pump ultimately decreases surface CO&lt;sub&gt;2&lt;/sub&gt;. The soft-tissue and alkalinity pumps reinforce each other in maintaining a vertical gradient in DIC (more down deep than at the surface) but they oppose each other in terms of the air-sea exchange of CO&lt;sub&gt;2&lt;/sub&gt;. Thus, the net effect of coccolithophores on atmospheric CO2 depends on the balance of their CO&lt;sub&gt;2&lt;/sub&gt;-raising effect associated with the alkalinity pump and their CO2-lowering effect associated with the soft-tissue biological pump. It is virtually always assumed that coccolith particulate inorganic carbon (PIC) originates exclusively from dissolved inorganic carbon (DIC, as bicarbonate), not dissolved organic carbon (DOC). The goal of this proposal is to describe a) the potential uptake and assimilation of an array of DOC compounds by coccolithophores, b) the rates of uptake, and potential incorporation of DOC by coccolithophores into PIC coccoliths, which, if true, would represent a major shift in the alkalinity pump paradigm. This work is fundamentally directed at quantifying coccolithophore mixotrophy using lab and field experiments plus clarifying its relevance to ocean biology and chemistry. There have been a number of technological advances to address this issue, all of which will be applied in this work. The investigators will: (a) screen coccolithophore cultures for the uptake and assimilation of a large array of DOC molecules, (b) perform tracer experiments with specific DOC molecules in order to examine uptake at environmentally-realistic concentrations, (c) measure fixation of DOC into organic tissue, separately from that fixed into PIC coccoliths, (d) separate coccolithophores from other phytoplankton and bacteria using flow cytometry and e) distinguish the modes of nutrition in these sorted coccolithophore cells. This work will fundamentally advance the state of knowledge of coccolithophore mixotrophy in the sea and address the balance of carbon that coccolithophores derived from autotrophic versus heterotrophic sources.&lt;/p&gt;</gco:CharacterString>
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            http://lod.bco-dmo.org/id/dataset-parameter/890787.rdf
	Name: Cruise
	Units: unitless
	Description: &lt;p&gt;Cruise identification&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890788.rdf
	Name: Station
	Units: unitless
	Description: &lt;p&gt;Station number for EN616 cruise for water sample collection&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890789.rdf
	Name: Type
	Units: unitless
	Description: &lt;p&gt;Type of sample.  B = discrete bottle sample&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890790.rdf
	Name: Longitude
	Units: decimal degrees
	Description: &lt;p&gt;Longitude of water sample collection&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890791.rdf
	Name: Latitude
	Units: decimal degrees
	Description: &lt;p&gt;Latitude of water sample collection&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890792.rdf
	Name: Depth
	Units: meters
	Description: &lt;p&gt;Depth of water sample&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890793.rdf
	Name: ISO_DateTime_UTC
	Units: unitless
	Description: &lt;p&gt;Date and time of sample collection&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890794.rdf
	Name: Gear
	Units: unitless
	Description: &lt;p&gt;Gear used to collect the water and coccolithophore samples&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890795.rdf
	Name: Balch_Sample_num
	Units: unitless
	Description: &lt;p&gt;Consecutive unique numbers assigned to each water sample for all analyses done for a given station&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890796.rdf
	Name: ParticleSizeDistFunc_Slope_5um
	Units: unitless
	Description: &lt;p&gt;PDF Slope logABD&amp;gt;0.75 (only particles &amp;gt;5um); Particle size Distribution Function slope of the plot of log cell abundance (particles per mL) versus Area Based Diameter (micrometers) calculated for particles of &amp;gt;= 5 micrometers diameter using a Yokogowa FlowCAM. Area Based Diameter (ABD) is defined as the diameter measured by the number of grey scale pixels of the binary image converted to a circle with the same number of pixels.&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890797.rdf
	Name: StdErr_of_PDFslope
	Units: unitless
	Description: &lt;p&gt;Std Err of PDF Slope logABD&amp;gt;0.75 (for particles &amp;gt;5um); Standard error of the above particle size distribution slope for only particles of 5 micrometers diameter or larger using a Yokogowa FlowCAM&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890798.rdf
	Name: Y_int_of_PDFslope
	Units: unitless
	Description: &lt;p&gt;Y-int of PDF Slope logABD&amp;gt;0.75 (only particles &amp;gt;5um); the Y intercept of above PDF for only particles of 5um diameter or larger using a Yokogowa FlowCAM&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890799.rdf
	Name: R2_of_PDFslope
	Units: unitless
	Description: &lt;p&gt;R2of PDF Slope logABD&amp;gt;0.75; squared correlation coefficient of above PDF for only particles of &amp;gt;= 5um diameter or larger using a Yokogowa FlowCAM&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890800.rdf
	Name: F_statistic_of_PDFslope
	Units: unitless
	Description: &lt;p&gt;F-statistic of PDF Slope logABD&amp;gt;0.75 (only particles &amp;gt;5um); the F statistic of the above PDF for only particles of &amp;gt;=5um diameter or larger using a Yokogowa FlowCAM&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890801.rdf
	Name: Total
	Units: cells per milliliter (cells/mL)
	Description: &lt;p&gt;Concentration of total particles measured by Yokogowa  measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890802.rdf
	Name: Small_0_to_4um
	Units: cells per milliliter (cells/mL)
	Description: &lt;p&gt;Concentration of small particles with diameters of 0 to 4 micrometers measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890803.rdf
	Name: Round_4_to_12um
	Units: cells per milliliter (cells/mL)
	Description: &lt;p&gt;Concentration of round particles with diameters of 4 to 12 micrometers measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890804.rdf
	Name: Ovoid_4_to_12um
	Units: cells per milliliter (cells/mL)
	Description: &lt;p&gt;Concentration of ovoid particles with long axis of 4 to 12 micrometers measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890805.rdf
	Name: Dinoflagellates
	Units: cells per milliliter (cells/mL)
	Description: &lt;p&gt;Concentration of dinoflagellates measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890806.rdf
	Name: Ciliates
	Units: cells per milliliter (cells/mL)
	Description: &lt;p&gt;Concentration of ciliates measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890807.rdf
	Name: Diatoms
	Units: cells per milliliter (cells/mL)
	Description: &lt;p&gt;Concentration of pennate and centric diatoms measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890808.rdf
	Name: Silicoflagellates
	Units: cells per milliliter (cells/mL)
	Description: &lt;p&gt;Concentration of silicoflagellates measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890809.rdf
	Name: Other_Cells
	Units: cells per milliliter (cells/mL)
	Description: &lt;p&gt;Concentration of unidentified other particles measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890810.rdf
	Name: Pct_Small_0_to_4um
	Units: percent
	Description: &lt;p&gt;Percent of total particles contributed by small (0-4 um) particles as measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890811.rdf
	Name: Pct_Round_4_to_12um
	Units: percent
	Description: &lt;p&gt;Percent of total particles contributed by round (4-12 um diameters) particles as measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890812.rdf
	Name: Pct_Ovoid_4_to_12um
	Units: percent
	Description: &lt;p&gt;Percent of total particles contributed by ovoid (long axis 4-12 um) particles as measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890813.rdf
	Name: Pct_Dinoflagellates
	Units: percent
	Description: &lt;p&gt;Percent of total particles contributed by dinoflagellates as measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890814.rdf
	Name: Pct_Ciliates
	Units: percent
	Description: &lt;p&gt;Percent of total particles contributed by ciliates as measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890815.rdf
	Name: Pct_Diatoms
	Units: percent
	Description: &lt;p&gt;Percent of total particles contributed by diatoms as measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890816.rdf
	Name: Pct_Silicoflagellates
	Units: percent
	Description: &lt;p&gt;Percent of total particles contributed by silicoflagellates as measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890817.rdf
	Name: Pct_Other_Cells
	Units: percent
	Description: &lt;p&gt;Percent of total particles contributed by unidentified other particles as measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890818.rdf
	Name: Total_C_biomass
	Units: micrograms per liter (ug/L)
	Description: &lt;p&gt;Total carbon biomass (based on Menden-Deuer and Lessard, 2000) for total particles measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890819.rdf
	Name: Small_C_biomass
	Units: micrograms per liter (ug/L)
	Description: &lt;p&gt;Carbon biomass (based on Menden-Deuer and Lessard, 2000) for small (0-4 um) particles measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890820.rdf
	Name: Round_C_biomass
	Units: micrograms per liter (ug/L)
	Description: &lt;p&gt;Carbon biomass (based on Menden-Deuer and Lessard, 2000) for round-(4-12 um) particles measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890821.rdf
	Name: Ovoid_C_biomass
	Units: micrograms per liter (ug/L)
	Description: &lt;p&gt;Carbon biomass (based on Menden-Deuer and Lessard, 2000) for ovoid (4-12 um long axis) particles measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890822.rdf
	Name: Dinoflagellates_C_biomass
	Units: micrograms per liter (ug/L)
	Description: &lt;p&gt;Carbon biomass (based on Menden-Deuer and Lessard, 2000) for dinoflagellates measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890823.rdf
	Name: Ciliates_C_biomass
	Units: micrograms per liter (ug/L)
	Description: &lt;p&gt;Carbon biomass (based on Menden-Deuer and Lessard, 2000) for ciliates measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890824.rdf
	Name: Diatoms_C_biomass
	Units: micrograms per liter (ug/L)
	Description: &lt;p&gt;Carbon biomass (based on Menden-Deuer and Lessard, 2000) for the sum of pennate and centric diatoms measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890825.rdf
	Name: Silicoflagellates_C_biomass
	Units: micrograms per liter (ug/L)
	Description: &lt;p&gt;Carbon biomass (based on Menden-Deuer and Lessard, 2000) for silicoflagellates measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/890826.rdf
	Name: Other_Cells_C_biomass
	Units: micrograms per liter (ug/L)
	Description: &lt;p&gt;Carbon biomass (based on Menden-Deuer and Lessard, 2000) for unidentified other particles measured by Yokogowa FlowCAM imaging cytometer&lt;/p&gt; 
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Nine stations were visited during R/V Endeavor&amp;amp;nbsp;EN616 cruise in the northwest Atlantic.&amp;amp;nbsp;&amp;amp;nbsp;&amp;lt;br /&amp;gt;
At eight depths, three 10L Niskin samples were taken for discrete measurements of:&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;1. Chlorophyll, nutrients including nitrate, nitrite, ammonium, phosphate, and silicate&amp;amp;nbsp;&amp;lt;br /&amp;gt;
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6. Shipboard Yokogawa Fluid Imaging Technologies FlowCam imaging cytometer, in order to enumerate the major microalgal classes and estimate the particle size distribution function&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;Measurements 1 to 4 are part of BCO-DMO dataset 837074 (See&amp;amp;nbsp;&amp;lt;a href=&amp;quot;https://www.bco-dmo.org/dataset/837074&amp;quot; style=&amp;quot;margin: 0px; padding: 0px; border: 0px; font: inherit; vertical-align: baseline; text-decoration-line: none; color: rgb(0, 102, 153);&amp;quot;&amp;gt;https://www.bco-dmo.org/dataset/837074&amp;lt;/a&amp;gt;, and the Related Datasets section below).&amp;lt;br /&amp;gt;
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Measurement 6 is flow cytometer data presented in &amp;lt;strong&amp;gt;this &amp;lt;/strong&amp;gt;dataset.&amp;amp;nbsp;&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;FlowCAM enumeration of various phytoplankton classes&amp;lt;/strong&amp;gt;&amp;lt;br /&amp;gt;
A Yokogowa FlowCAM imaging cytometer was used to enumerate different classes of phytoplankton.&amp;amp;nbsp; The instrument was keyed on particle backscattering and fluorescence properties.&amp;amp;nbsp; Samples were first filtered through 100um Nitex mesh to make sure the 100um diameter flow chamber did not clog.&amp;amp;nbsp; The instrument was run with a 10X objective in order to reliably count particles bigger than 4-5um diameter. Samples were processed according to Poulton and Martin (2010).&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;Concentrations (per mL), percent contribution with respect to total particles, and biomass are presented.&amp;amp;nbsp; Carbon biomass was determined&amp;amp;nbsp;based on the Menden-Deuer &amp;amp;amp; Lessard (2000) method.&amp;amp;nbsp;&amp;amp;nbsp;&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;amp;nbsp;&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;amp;nbsp;&amp;lt;/p&amp;gt;

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- FlowCAM cytometry data extracted from combined &amp;quot;master datasheet&amp;quot; into a separate file called &amp;quot;Flow_cytometer_EN616.csv&amp;quot;&amp;lt;br /&amp;gt;
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The FlowCam VS series are automated imaging-in-flow instruments that generate high-resolution digital images for measuring size and shape of microscopic particles. The sample introduced in the system is attracted by a peristaltic or a syringe pump into a flow cell (or flow chamber) with known dimensions, located in front of a microscope objective which is connected to a camera video. The benchtop model is ideally suited to a typical laboratory environment with applications in oceanographic research, municipal water, biopharmaceutical formulations, chemicals, oil and gas, biofuels, and many other markets. FlowCam VS is available in four models, from the imaging-only VS-I (i.e. without excitation wavelength or fluorescence emission wavelengths) to the top-of-the-line VS-IV with two channels of fluorescence measurement and scatter triggering capabilities. The instrument can measure particles between 2µm and 2mm; can analyse in vivo or fixed samples; has a flow rate between 0.005 ml/minute and 250 ml/minute (dependant upon magnification, flow cell depth, camera frame rate, efficiency desired, etc.). It can produce either 8-bit Grayscale (Monochrome Camera) or 24-bit Colour (Colour Camera) images, depending on the model.</gco:CharacterString>
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