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        <gco:CharacterString>Natural waters experiment (picoeukaryotes + Synechococcus) Dataset Description:  Methods and Sampling: &amp;lt;p&amp;gt;The natural waters experiment&amp;amp;nbsp;used the&amp;amp;nbsp;experimental format established in culture experiments 1 and 2 (See Related Datasets section below), and was then adapted for use in natural waters. For detailed methods, refer to Archer et al. (2022) in the section 'Picophytoplankton Rates in Natural Waters'.&amp;amp;nbsp;&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;From 16th July to 15th August, 2019 (days of the year 197 to 227) and 8th June to 26th July 2021 (days 165 to 207), a series of saturation experiments were performed that focused on determining the growth rates and grazing mortality of populations of picoeukaryote and Syncechococcus species.&amp;amp;nbsp;Gulf of Maine coastal seawater was collected from the Damariscotta River Estuary at Bigelow Laboratory’s dock off East Boothbay, Maine, USA (43.8604° N, 69.5781° W). Water for all experiments was collected within one hour of high tide at 1 meter depth using a 5 liter&amp;amp;nbsp;Niskin bottle and was gravity filtered through 200 µm mesh to remove zooplankton. Several Niskin casts of seawater were combined in an acid washed carboy before being siphoned into 600 ml polycarbonate bottles. For each saturation experiment, 12 to 14 bottles were used to generate a range of levels of surrogate prey addition. Fluorescent polystyrene microspheres of 2 µm in diameter, treated as for the laboratory experiments, were added to the bottles either as duplicate treatments or in a continuous series of abundance that spanned the range from 0 to 1.7 x 106 beads ml-1 on day 197 to 0 to 3.8 x 106 beads ml-1 on day 226.&amp;amp;nbsp;&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Bottles were incubated for 24 hours in a flow-through incubator on the dock under a nylon mesh that removed ~40 % of the surface photosynthetic active radiation (PAR). In an initial test of the flow-through incubator, five 600 ml bottles were filled with seawater from the same carboy and with no further treatment, were incubated for 24 hours. The counts of the t0 initial (time zero)&amp;amp;nbsp;abundance of picoeukaryotes from the five bottles showed a coefficient of variation of 1.3%, that increased in the T24 counts to only 4.1%, indicating consistent growth among the 5 replicate bottles. Following all experiments, the seawater to which beads had been added was filtered through a 0.45 µm capsule filter to recover the beads before discarding the water.&amp;amp;nbsp;&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Flow Cytometric Measurements&amp;lt;/strong&amp;gt;&amp;lt;br /&amp;gt;
Particles were excited with a 488 nm blue excitation laser (100 mW). Data acquisition was triggered on forward scatter (FSC). Signals were recorded from detectors with bandpass filters for right angle light scatter and fluorescence emission in red (692 nm/80 nm band pass) indicative of chlorophyll a, orange for phycoerythrin (593/52 nm), and green (525/35 nm). To ensure accurate calibration of the flow cytometer, ZE5 QC beads (Bio-Rad, Hercules, CA, USA) were run daily.&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/735731.rdf" xlink:title="OCE-1738061" xlink:actuate="onRequest">Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1738061 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1738061</gmx:Anchor>
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&lt;p&gt;Heterotrophic protists are the dominant consumers of the 50% of global primary production by phytoplankton in the oceans. Hence, they play a key role in influencing ocean biogeochemistry, the composition of microbial communities, and transfer of energy to higher trophic levels. The aim of the project is to develop a novel saturation approach to quantify the rates of grazing on phytoplankton by phagotrophic protists in the ocean. As a proof-of-concept, this study will focus on determining grazing rates on picophytoplankton. This smallest size-class of phytoplankton often dominates oceanic primary production and can contribute up to 50% of annual primary production in coastal waters. Understanding grazing is of critical importance to understanding how planktonic communities function and respond to environmental change has the important societal benefit of potentially more accurately predicting the future of global fisheries and interactions between ocean and atmosphere that influence our climate. The project incorporates experiential education of undergraduates in the research environment and biological oceanography and will be a feature of an Advanced Aquatic Flow Courses designed for graduate students, faculty members and commercial entities. Public engagement in the science will be through Cafe Scientifique presentations and the series of Open House events that occur at Bigelow Laboratory through the year.&lt;/p&gt;
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                <gco:CharacterString>&amp;lt;p&amp;gt;The natural waters experiment&amp;amp;nbsp;used the&amp;amp;nbsp;experimental format established in culture experiments 1 and 2 (See Related Datasets section below), and was then adapted for use in natural waters. For detailed methods, refer to Archer et al. (2022) in the section 'Picophytoplankton Rates in Natural Waters'.&amp;amp;nbsp;&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;From 16th July to 15th August, 2019 (days of the year 197 to 227) and 8th June to 26th July 2021 (days 165 to 207), a series of saturation experiments were performed that focused on determining the growth rates and grazing mortality of populations of picoeukaryote and Syncechococcus species.&amp;amp;nbsp;Gulf of Maine coastal seawater was collected from the Damariscotta River Estuary at Bigelow Laboratory’s dock off East Boothbay, Maine, USA (43.8604° N, 69.5781° W). Water for all experiments was collected within one hour of high tide at 1 meter depth using a 5 liter&amp;amp;nbsp;Niskin bottle and was gravity filtered through 200 µm mesh to remove zooplankton. Several Niskin casts of seawater were combined in an acid washed carboy before being siphoned into 600 ml polycarbonate bottles. For each saturation experiment, 12 to 14 bottles were used to generate a range of levels of surrogate prey addition. Fluorescent polystyrene microspheres of 2 µm in diameter, treated as for the laboratory experiments, were added to the bottles either as duplicate treatments or in a continuous series of abundance that spanned the range from 0 to 1.7 x 106 beads ml-1 on day 197 to 0 to 3.8 x 106 beads ml-1 on day 226.&amp;amp;nbsp;&amp;lt;br /&amp;gt;
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Bottles were incubated for 24 hours in a flow-through incubator on the dock under a nylon mesh that removed ~40 % of the surface photosynthetic active radiation (PAR). In an initial test of the flow-through incubator, five 600 ml bottles were filled with seawater from the same carboy and with no further treatment, were incubated for 24 hours. The counts of the t0 initial (time zero)&amp;amp;nbsp;abundance of picoeukaryotes from the five bottles showed a coefficient of variation of 1.3%, that increased in the T24 counts to only 4.1%, indicating consistent growth among the 5 replicate bottles. Following all experiments, the seawater to which beads had been added was filtered through a 0.45 µm capsule filter to recover the beads before discarding the water.&amp;amp;nbsp;&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Flow Cytometric Measurements&amp;lt;/strong&amp;gt;&amp;lt;br /&amp;gt;
Particles were excited with a 488 nm blue excitation laser (100 mW). Data acquisition was triggered on forward scatter (FSC). Signals were recorded from detectors with bandpass filters for right angle light scatter and fluorescence emission in red (692 nm/80 nm band pass) indicative of chlorophyll a, orange for phycoerythrin (593/52 nm), and green (525/35 nm). To ensure accurate calibration of the flow cytometer, ZE5 QC beads (Bio-Rad, Hercules, CA, USA) were run daily.&amp;amp;nbsp;&amp;lt;/p&amp;gt;</gco:CharacterString>
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&amp;lt;p&amp;gt;Model fitting of the experimental data was carried out using the nonlinear least squares regression function (nls) in R (R Core Team 2021).&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;These data were published in Figure 2, Table 2, and Table S2 (Supplementary) of Archer et al. (2022)&amp;lt;/p&amp;gt;</gco:CharacterString>
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                  <gco:CharacterString>- Imported data from source file &amp;quot;Grazing_Saturation_Natural_experiments_1.xlsx&amp;quot;
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