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            <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/dataset/3122.rdf" xlink:actuate="onRequest">Water-column Biogenic silica concentrations from RVIB Nathaniel B. Palmer NBP0601, NBP0608 cruises in the Ross Sea Southern Ocean (CORSACS project)</gmx:Anchor>
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        <gco:CharacterString>Water-column Biogenic silica concentrations Dataset Description: &amp;lt;p&amp;gt;Water-column Biogenic silica concentrations from CORSACS 1 cruise (NBP-0601) and CORSACS2 cruise (NBP-0608) to the Ross Sea&amp;lt;/p&amp;gt; Methods and Sampling: &amp;lt;p&amp;gt;Water-column samples for biogenic silica were collected in 10-L Niskin samplers (General Oceanics Inc.) attached to the CTD rosette, during 2 cruises in the Ross Sea, ca. 65.21&amp;amp;deg;S-78.65&amp;amp;deg;S, 164.98&amp;amp;deg;E-164.70&amp;amp;deg;W, 6-1265 m depth.  Biogenic silica (BSi) analyses were performed by filtering 250-1000 mL aliquots of seawater onto 0.6-um 47-mm polycarbonate filters. The filters were dried at 60oC, and stored at room temperature until analysis. The samples were analyzed following the method of Brzezinski &amp;amp;amp; Nelson (1995).&amp;lt;/p&amp;gt;
&amp;lt;p&amp;gt;Brzezinski, M.A., Nelson D.M., 1995. The annual silica cycle in the Sargasso Sea near Bermuda. Deep-Sea Research I 42:1215-1237&amp;lt;/p&amp;gt;</gco:CharacterString>
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&lt;p&gt;The main objective in the proposed research was to investigate the relative importance and potential interactive effects of iron, light and CO2 levels in structuring algal assemblages and growth rates in the Ross Sea. The investigators hypothesized that the interaction of these three variables largely determines the bottom-up control on these two dominant Southern Ocean phytoplankton taxa. While grazing and other loss processes are important variables in determining the relative dominance of these two taxa, the CORSACS research project was designed to focus on the bottom-up control mechanisms. It is important to understand such environmentally-driven taxonomic shifts in primary production, since they are expected to impact the fixation and export of carbon and nutrients, and the production of DMS, thus potentially providing both positive and negative feedbacks on climate.&lt;/p&gt;
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&lt;p&gt;From the information previously available from both field observations and experiments, the investigators formulated the following specific hypotheses regarding the interactive role of iron, light and CO2 in regulating algal composition in the Ross Sea: diatoms bloom in the southern Ross Sea only under optimum conditions of high iron, light and pCO2; colonial Phaeocystis dominate under conditions of high iron with either (or both) low light or low pCO2; and solitary Phaeocystis are predominant under conditions of low iron with either (or both) low light or low pCO2.&lt;/p&gt;
&lt;h4&gt;References:&lt;/h4&gt;
&lt;p&gt;Fitzwater, S.E., K.S. Johnson, R.M. Gordon, K.H. Coale, and W.O. Smith, Jr. (2000). Trace metal concentrations in the Ross Sea and their relationship with nutrients and growth. Deep-Sea Research II, 47: 3159-3179.&lt;/p&gt;
&lt;p&gt;Martin JH, Gordon RM, Fitzwater SE. Iron in Antarctic waters. Nature 1990 ;345(6271):156-158. Martin JH. 1990. Glacial-interglacial CO2 change: The iron hypothesis. Paleoceanography 5(1):1-13&lt;/p&gt;
&lt;p&gt;P. N. Sedwick, G. R. DiTullio, and D. J. Mackey, Iron and manganese in the Ross Sea, Antarctica: Seasonal iron limitation in Antarctic shelf waters, Journal of Geophysical Research, 105 (C5), 11,321-11,336, 2000.&lt;/p&gt;
&lt;p&gt;Sweeney, C. K. Arrigo, and G. van Gijken (2001). Prediction of seasonal changes in surface pCO2 in the Ross Sea, Antarctica using ocean color satellite data. 2001 Annual AGU meeting, San Fransisco, CA Dec. 10-15.&lt;/p&gt;
&lt;p&gt;IPCC, 2001: Climate Change 2001: Synthesis Report. A Contribution of Working Groups I, II, and III to the Third Assessment Report of theIntegovernmental Panel on Climate Change [Watson, R.T. and the Core Writing Team (eds.)]. Cambridge University Press, Cambridge,United Kingdom, and New York, NY, USA, 398 pp.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Publications&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Saito, M. A., Goepfert, T. J., Noble, A. E., Bertrand, E. M., Sedwick, P. N., and DiTullio, G. R.: A seasonal study of dissolved cobalt in the Ross Sea, Antarctica: micronutrient behavior, absence of scavenging, and relationships with Zn, Cd, and P, Biogeosciences, 7, 4059-4082, doi:10.5194/bg-7-4059-2010, 2010 (&lt;a href=&quot;http://www.biogeosciences.net/7/4059/2010/bg-7-4059-2010.html&quot;&gt;http://www.biogeosciences.net/7/4059/2010/bg-7-4059-2010.html&lt;/a&gt;)&lt;/p&gt;
&lt;p&gt;Bertrand EM, Saito MA, Lee PA, Dunbar RB, Sedwick PN and DiTullio GR (2011) Iron limitation of a springtime bacterial and phytoplankton community in the Ross Sea: implications for vitamin B12 nutrition. Front. Microbio. 2:160. doi: 10.3389/fmicb.2011.00160 (&lt;a href=&quot;http://www.frontiersin.org/Aquatic_Microbiology/10.3389/fmicb.2011.00160/abstract&quot;&gt;http://www.frontiersin.org/Aquatic_Microbiology/10.3389/fmicb.2011.00160/abstract&lt;/a&gt;)&lt;/p&gt;</gco:CharacterString>
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&amp;lt;p&amp;gt;Brzezinski, M.A., Nelson D.M., 1995. The annual silica cycle in the Sargasso Sea near Bermuda. Deep-Sea Research I 42:1215-1237&amp;lt;/p&amp;gt;</gco:CharacterString>
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                <gco:CharacterString>&amp;lt;p&amp;gt;Appropriate information on blanks and linear regressions of the standard curves is included within the original spreadsheet. A field blank value of 0.013 was subtracted for each measurement. The slope of the standard silicate curve was approximately 0.011 with an r-squared value of &amp;amp;gt;0.99.&amp;lt;/p&amp;gt;
&amp;lt;h4&amp;gt;Original data as Excel spreadsheets:&amp;lt;/h4&amp;gt;
&amp;lt;p&amp;gt;&amp;lt;a href=&amp;quot;http://data.bco-dmo.org/CORSACS/data_orig/CORSACS_1_CTD_BSi.xls&amp;quot;&amp;gt;CORSACS 1 Biogenic silica (XLS)&amp;lt;/a&amp;gt;&amp;lt;br /&amp;gt;
&amp;lt;a href=&amp;quot;http://data.bco-dmo.org/CORSACS/data_orig/CORSACS_2_CTD_BSi.xls&amp;quot;&amp;gt;CORSACS 2 Biogenic silica (XLS)&amp;lt;/a&amp;gt;&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
&amp;lt;strong&amp;gt;BCO-DMO processing:&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;
&amp;lt;p&amp;gt;Biogenic Silica data were contributed in Microsoft Office Excel Spreadsheets -- one for each deployment (NBP0601 and NBP0608.)  Both data sets reported sample depth, volume filtered, and Biogenic Silica in micromoles per liter, along with linear regressions of the standard curves used in the analysis.  The spreadsheets were manually edited for upload to the BCO-DMO database.  Neither data set included position information. As submitted, the original data lacked lat and lon and 0608 lacked date_local.&amp;amp;nbsp; These columns were added by BCO-DMO as follows: lat and lon values are from hydro station metadata and date_local for NBP0608 was also taken from the hydro data as reported in another data set from this research project.&amp;lt;/p&amp;gt;
&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;NBP0601 processing notes:&amp;lt;/strong&amp;gt;&amp;lt;br /&amp;gt;
For NBP0601, a station number, date, bottle number, and sample depth were reported for each sample.  Position information was not included. In order to be sure that Biogenic Silica station numbers matched Hydro casts station numbers, plots of the common information were prepared.&amp;lt;/p&amp;gt;
&amp;lt;p&amp;gt;Sample depths were plotted against station number for the hydrographic data with Biogenic silica station number and sample depths overlaid.  The points matched up nicely, confirming that station numbers were the same, therefore geographic position and time, as submitted with the hydrographic data, could be assigned to Biogenic Silica samples. (&amp;lt;a href=&amp;quot;http://data.bco-dmo.org/CORSACS/data_orig/NBP0601_HYDRO_BS.pdf&amp;quot;&amp;gt;see comparison plot PDF file&amp;lt;/a&amp;gt;)&amp;lt;/p&amp;gt;
&amp;lt;p&amp;gt;It should be noted that station+date_local for NBP0601  did not always match the hydro data.  21 of the 61 NBP0601 BioSi stations had a different date_local than the hydro stas; in every case, the BioSi sta number was 1 day ahead (e.g. station 18 hydro date = 12/30 and BioSi = 12/31)&amp;lt;/p&amp;gt;
&amp;lt;p&amp;gt;The CTD/hydro data clearly stated that date was local, however if hydro date was in fact GMT then local time (GMT +13 for this timezone in December) would be 13 hours later (often one day ahead); if NBP0601 hydro data had date in GMT, and BioSi used local date, then the 1 day date offset could be explained.  However, we have been unable to confirm this theory. Note that this means it is possible that the date_local column now has a mix of time zones; NBP0601 has original BioSi dates which might be local and NBP0608 has 'date' from hydro (called date_local) but might really be GMT.&amp;lt;/p&amp;gt;
&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;NBP0608 processing notes:&amp;lt;/strong&amp;gt;&amp;lt;br /&amp;gt;
For NBP0608, samples were identified using CTD cast number and depth. Position and time information were not reported. In order to be sure that Biogenic Silica station numbers  matched the hydrographic station numbers, plots of the common information in both datasets were prepared. (&amp;lt;a href=&amp;quot;http://data.bco-dmo.org/CORSACS/data_orig/NBP0608_HYDRO_BS.pdf&amp;quot;&amp;gt;see comparison plot PDF file&amp;lt;/a&amp;gt;)&amp;lt;/p&amp;gt;
&amp;lt;p&amp;gt;Sample depths were plotted against station number for the hydrographic data with Biogenic silica station number and sample depths overlaid.  The points matched up nicely, confirming that station numbers were the same, therefore geographic position and time, as submitted with the hydrographic data, could be assigned to Biogenic Silica samples.&amp;lt;/p&amp;gt;</gco:CharacterString>
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