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            <gco:CharacterString>Cite this dataset as: Williams, B., Rasher, D. B., Ries, J. B. (2021) Skeletal density for crustose coralline algae reared in natural and experimental temperature and pCO2 conditions. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-01-21 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.836975.1 [access date]</gco:CharacterString>
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        <gco:CharacterString>Skeletal density for crustose coralline algae reared in natural and experimental temperature and pCO2 conditions Dataset Description:  Methods and Sampling: &amp;lt;p&amp;gt;This dataset contains skeletal density in crustose coralline algae cultured in experimental conditions (factorially crossed temperature (~6.5, 8.5, and 12.5 °C) and pCO2 (~350, 490, 890, and 3200 µatm)).&amp;amp;nbsp;The experiment was run for 125 days, starting in October 2015.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;Skeletal density was quantified using Micro-CT imaging conducted at the Preclinical Imaging Research Centre (PIRC), Robarts Research Institute, University Of Western Ontario, using a micro-CT scanner (GE Healthcare, eXplore Locus RS-9) at a peak x-ray energy of 80 kVp and a tube current of 450 uA.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;Specimens used in the experiments were collected from the&amp;amp;nbsp;Gulf of Maine (44.431591 N, -68.121289 E) and Adak Island, Alaska (51.784143 N, -176.432640 E).&amp;lt;/p&amp;gt;</gco:CharacterString>
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        <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/award/562830.rdf" xlink:title="OCE-1459827" xlink:actuate="onRequest">Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1459827 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1459827</gmx:Anchor>
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The impacts of recent and future human-caused increases in atmospheric CO2 on the acidity (pH) of shallow cold-water marine environments (a process known as &quot;ocean acidification&quot;), and on the organisms that inhabit them, are poorly understood. This is due, in part, to the difficulty in reconstructing past changes in ocean chemistry in these remote environments. This research seeks to develop and apply a technique to reconstruct past seawater pH from boron isotope signatures in long-lived crustose coralline alga that are widespread throughout shallow, cold-water marine environments. In addition, the research will evaluate the impact of changing seawater pH on the growth rate of these ecologically important organisms, which are thought to be particularly vulnerable to ocean acidification because of the high magnesium content of their skeleton. Overall, this project will advance understanding of ocean acidification in shallow, cold-water environments, and provide key information to evaluate the impact that changes in ocean pH have had on organisms inhabiting these environments. The outcomes of this work will provide important information to policy makers and legislators seeking to mitigate the negative effects of rising atmospheric CO2 on these fragile, high-latitude marine ecosystems.&lt;/p&gt;
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Ries Lab - &lt;a href=&quot;http://nuweb2.neu.edu/rieslab/&quot; target=&quot;_blank&quot;&gt;http://nuweb2.neu.edu/rieslab/&lt;/a&gt;&lt;br /&gt;
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                <gco:CharacterString>&amp;lt;p&amp;gt;This dataset contains skeletal density in crustose coralline algae cultured in experimental conditions (factorially crossed temperature (~6.5, 8.5, and 12.5 °C) and pCO2 (~350, 490, 890, and 3200 µatm)).&amp;amp;nbsp;The experiment was run for 125 days, starting in October 2015.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;Skeletal density was quantified using Micro-CT imaging conducted at the Preclinical Imaging Research Centre (PIRC), Robarts Research Institute, University Of Western Ontario, using a micro-CT scanner (GE Healthcare, eXplore Locus RS-9) at a peak x-ray energy of 80 kVp and a tube current of 450 uA.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;Specimens used in the experiments were collected from the&amp;amp;nbsp;Gulf of Maine (44.431591 N, -68.121289 E) and Adak Island, Alaska (51.784143 N, -176.432640 E).&amp;lt;/p&amp;gt;</gco:CharacterString>
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