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<front>
<journal-meta>
<journal-id journal-id-type="publisher">EGUsphere</journal-id>
<journal-title-group>
<journal-title>EGUsphere</journal-title>
<abbrev-journal-title abbrev-type="publisher">EGUsphere</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">EGUsphere</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub"></issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/egusphere-2026-2261</article-id>
<title-group>
<article-title>Short communication: A linear regression model for amino acid dating of &lt;em&gt;Bithynia&lt;/em&gt; opercula from deep-core material</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nelson</surname>
<given-names>Ellie Frances</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Christen</surname>
<given-names>J. Andres</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>NEaar Laboratory, Department of Chemistry, University of York, United Kingdom</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Centro de Investigación en Matemáticas, CIMAT-SECIHTI, Mexico</addr-line>
</aff>
<pub-date pub-type="epub">
<day>19</day>
<month>05</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>15</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Ellie Frances Nelson</copyright-statement>
<copyright-year>2026</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-2261/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-2261/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-2261/egusphere-2026-2261.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-2261/egusphere-2026-2261.pdf</self-uri>
<abstract>
<p>Estimating numerical ages from the extent of amino acid racemisation observed in fossil biominerals has been the aim of many researchers in the field of amino acid geochronology. Here, the use of temperature profiles and independent age estimates to build a linear regression model for IcPD with uncertainty calculated using a Bayesian approach is explored. This work presents a pilot study to test the potential of this methodology and determine what next steps need to be taken to make this a viable approach to produce numerical ages from IcPD data. To progress this work, a comprehensive study of the sources of uncertainty in the model needs to be made.</p>
</abstract>
<counts><page-count count="15"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>European Research Council</funding-source>
<award-id>865222</award-id>
</award-group>
<award-group id="gs2">
<funding-source>Office of Naval Research Global</funding-source>
<award-id>N62909-241-2016</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
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<back>
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</article>