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            <gco:CharacterString>Cite this dataset as: Smith, W. O. (2026) Observations from two gliders deployed in the southern Ross Sea from November 2022 through January 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-04-14 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/996532 [access date]</gco:CharacterString>
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        <gco:CharacterString>Glider observations from the southern Ross Sea Dataset Description:  Methods and Sampling: &amp;lt;p&amp;gt;Gliders were deployed from the fast ice near Cape Crozier (Ross Island) on 29 November and 4 December, 2022. Recovery of gliders were from the RVIB Nathaniel B. Palmer Cruise NBP23-02 on January 18, 2023&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Two profiling ocean gliders (Seagliders SG613 and SG676) were deployed from the fast ice adjacent to the Ross ice shelf near Cape Crozier. SG613 and SG676 collected 774 and 688 profiles, respectively, where each profile (taking typically 1.5 hours) is either an ascent or descent, with its mean time assigned. Temperature, salinity (Seabird CT sail), dissolved oxygen (Aanderaa 4330 optode), Chl‐a fluorescence (a proxy for phytoplankton biomass), and optical backscatter (OBS) at 470 and 700 nanometers (nm) (Seabird Scientific Wetlabs Triplet ECOpuck) were measured. SG613 also carried a photosynthetically active radiation (PAR) sensor. Glider sensors were factory‐calibrated before the deployment. Data were processed using the UEA Seaglider Toolbox (&amp;lt;a href=&amp;quot;https://bitbucket.org/bastienqueste/uea-seaglider-toolbox/src/toolbox/&amp;quot; target=&amp;quot;_blank&amp;quot;&amp;gt;https://bitbucket.org/bastienqueste/uea-seaglider-toolbox/src/toolbox/&amp;lt;/a&amp;gt;, Queste et al. (2014)), optimizing the hydrodynamic flight model (Frajka‐Williams et al., 2011) and correcting conductivity for thermal hysteresis (Garau et al., 2011). The accuracy of glider fluorescence was ensured via cross‐calibration of fluorescence measurements from both gliders and the CTD rosette at the recovery stations. Discrete chlorophyll samples were collected via the CTD rosette on glass fiber filters upon glider recovery and analyzed fluorometrically (Knap et al., 1996) aboard the Palmer. Glider fluorescence was converted to Chl‐a via a linear regression. Discrete&amp;lt;br /&amp;gt;
particulate organic carbon (POC) samples were likewise collected from the recovery CTD cast, filtered through combusted glass fiber filters and analyzed in the laboratory by pyrolysis (Gardner et al., 2000).&amp;lt;/p&amp;gt;</gco:CharacterString>
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        <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/award/991047.rdf" xlink:title="ANT-2040571" xlink:actuate="onRequest">Funding provided by NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) Award Number: ANT-2040571 Award URL: https://www.nsf.gov/awardsearch/show-award/?AWD_ID=2040571</gmx:Anchor>
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&lt;p&gt;Part I: Non-technical description:&lt;br /&gt;
The Ross Sea, a globally important ecological hotspot, hosts 25% to 45% of the world populations of Adélie and Emperor penguins, South Polar skuas, Antarctic petrels, and Weddell seals. It is also one of the few marine protected areas within the Southern Ocean, designed to protect the workings of its ecosystem. To achieve conservation requires participation in an international research and monitoring program, and more importantly integration of what is known about penguin as predators and the biological oceanography of their habitat. The project will acquire data on these species’ role within the local food web through assessing of Adélie penguin feeding grounds and food choices, while multi-sensor ocean gliders autonomously quantify prey abundance and distribution as well as ocean properties, including phytoplankton, at the base of the food web. Additionally, satellite imagery will quantify sea ice and whales, known penguin competitors, within the penguins’ foraging area. Experienced and young researchers will be involved in this project, as will a public outreach program that reaches more than 200 school groups per field season, and with an excess of one million visits to a website on penguin ecology. Lessons about ecosystem change, and how it is measured, i.e. the STEM fields, will be emphasized. Results will be distributed to the world scientific and management communities.&lt;/p&gt;
&lt;p&gt;Part II: Technical description:&lt;br /&gt;
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&lt;p&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.&lt;/p&gt;</gco:CharacterString>
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&amp;lt;br /&amp;gt;
Two profiling ocean gliders (Seagliders SG613 and SG676) were deployed from the fast ice adjacent to the Ross ice shelf near Cape Crozier. SG613 and SG676 collected 774 and 688 profiles, respectively, where each profile (taking typically 1.5 hours) is either an ascent or descent, with its mean time assigned. Temperature, salinity (Seabird CT sail), dissolved oxygen (Aanderaa 4330 optode), Chl‐a fluorescence (a proxy for phytoplankton biomass), and optical backscatter (OBS) at 470 and 700 nanometers (nm) (Seabird Scientific Wetlabs Triplet ECOpuck) were measured. SG613 also carried a photosynthetically active radiation (PAR) sensor. Glider sensors were factory‐calibrated before the deployment. Data were processed using the UEA Seaglider Toolbox (&amp;lt;a href=&amp;quot;https://bitbucket.org/bastienqueste/uea-seaglider-toolbox/src/toolbox/&amp;quot; target=&amp;quot;_blank&amp;quot;&amp;gt;https://bitbucket.org/bastienqueste/uea-seaglider-toolbox/src/toolbox/&amp;lt;/a&amp;gt;, Queste et al. (2014)), optimizing the hydrodynamic flight model (Frajka‐Williams et al., 2011) and correcting conductivity for thermal hysteresis (Garau et al., 2011). The accuracy of glider fluorescence was ensured via cross‐calibration of fluorescence measurements from both gliders and the CTD rosette at the recovery stations. Discrete chlorophyll samples were collected via the CTD rosette on glass fiber filters upon glider recovery and analyzed fluorometrically (Knap et al., 1996) aboard the Palmer. Glider fluorescence was converted to Chl‐a via a linear regression. Discrete&amp;lt;br /&amp;gt;
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- Treated NaN as a missing data value (missing data are empty/blank in the final CSV data file).
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- Concatenated the two data files into a single file, adding a column for the Seaglider ID number.
- Converted Matlab_Time (Matlab serial number) to ISO_DateTime_UTC datetime field formatted as %Y-%m-%dT%H:%M:%SZ.
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                          <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/person/996858.rdf" xlink:actuate="onRequest">Philip Bart</gmx:Anchor>
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                          <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/affiliation/670530.rdf" xlink:title="Affiliation" xlink:actuate="onRequest">Louisiana State University</gmx:Anchor>
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