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            <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/dataset/894930.rdf" xlink:actuate="onRequest">Average yearly extension rate, calcification rate, and density for each core sample from Porites cf. lobata coral at Palau's Rock Islands</gmx:Anchor>
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        <gco:CharacterString>Palau Coral Growth Dataset Description:  Methods and Sampling: &amp;lt;p&amp;gt;Samples were collected from coral reefs of Palau's Rock Islands. Coral cores (N = 121) were taken using an underwater pneumatic drill equipped with a diamond-tipped drill bit powered by compressed air from a SCUBA tank. Cores ranged from 10 to 204 centimeters (cm) long, covering years from 1970 to 2014. Cores were dried in an oven and imaged using a Volume Zoom Helical Computerized Tomography (CT) Scanner at Woods Hole Oceanographic Institution. Scans were analyzed using an automated computer program. Cores that displayed high levels of bioerosion, inconsistent banding patterns, partial mortality, or other deformities preventing accurate identification of annual growth bands, and as a result, correct identification of years corresponding to bleaching events, were excluded from analysis (N = 42). Of the remaining 80 cores, 11 had unsuccessful DNA extractions or failed other downstream genetic data filters, leaving 69 corals for final analyses. Coral samples were imported to the U.S. under CITES permit numbers: PW14-163, PW15-022, PW18-121. RAD-sequencing data are available in the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) under accession number PRJNA801929. Additional input data are available in the GitHub repository of H.E.R. at &amp;lt;a href=&amp;quot;https://github.com/hrivera28/Palau_porites&amp;quot; target=&amp;quot;_blank&amp;quot;&amp;gt;https://github.com/hrivera28/Palau_porites&amp;lt;/a&amp;gt; (DOI: &amp;lt;a href=&amp;quot;http://dx.doi.org/10.5281/ZENODO.7953614&amp;quot; target=&amp;quot;_blank&amp;quot;&amp;gt;10.5281/ZENODO.7953614&amp;lt;/a&amp;gt;).&amp;lt;/p&amp;gt;</gco:CharacterString>
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        <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/award/854645.rdf" xlink:title="OCE-2049567" xlink:actuate="onRequest">Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2049567 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2049567</gmx:Anchor>
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&lt;p&gt;Ocean warming and intensifying heatwaves are devastating coral reefs across the global tropics. Consequently, a coordinated effort is underway to identify and protect coral communities that can survive these changes. This interdisciplinary team of investigators is combining oceanographic observations, 3-dimensional fine-scale hydrodynamic model simulations, benthic surveys, and biological assays to investigate the role of reef hydrodynamics in facilitating coral resilience to thermal stress on Kanton Island in the central equatorial Pacific. The investigators are testing the hypothesis that oceanographic and atmospheric forcing interact with reef bathymetry to induce predictable fine-scale heterogeneity in water temperature and flow across the reef. They are also testing the hypothesis that environmental heterogeneity, in turn, facilitates coral survival of extreme heat by providing opportunities for genetic adaptation, protective cooling, and/or enhanced food supply. Results will provide insights into the biophysical mechanisms underpinning reef resilience and a new tool with which to predict resilience across a broad range of coral reef ecosystems.&lt;/p&gt;
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                <gco:CharacterString>&amp;lt;p&amp;gt;Samples were collected from coral reefs of Palau's Rock Islands. Coral cores (N = 121) were taken using an underwater pneumatic drill equipped with a diamond-tipped drill bit powered by compressed air from a SCUBA tank. Cores ranged from 10 to 204 centimeters (cm) long, covering years from 1970 to 2014. Cores were dried in an oven and imaged using a Volume Zoom Helical Computerized Tomography (CT) Scanner at Woods Hole Oceanographic Institution. Scans were analyzed using an automated computer program. Cores that displayed high levels of bioerosion, inconsistent banding patterns, partial mortality, or other deformities preventing accurate identification of annual growth bands, and as a result, correct identification of years corresponding to bleaching events, were excluded from analysis (N = 42). Of the remaining 80 cores, 11 had unsuccessful DNA extractions or failed other downstream genetic data filters, leaving 69 corals for final analyses. Coral samples were imported to the U.S. under CITES permit numbers: PW14-163, PW15-022, PW18-121. RAD-sequencing data are available in the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) under accession number PRJNA801929. Additional input data are available in the GitHub repository of H.E.R. at &amp;lt;a href=&amp;quot;https://github.com/hrivera28/Palau_porites&amp;quot; target=&amp;quot;_blank&amp;quot;&amp;gt;https://github.com/hrivera28/Palau_porites&amp;lt;/a&amp;gt; (DOI: &amp;lt;a href=&amp;quot;http://dx.doi.org/10.5281/ZENODO.7953614&amp;quot; target=&amp;quot;_blank&amp;quot;&amp;gt;10.5281/ZENODO.7953614&amp;lt;/a&amp;gt;).&amp;lt;/p&amp;gt;</gco:CharacterString>
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Growth metrics (extension and calcification rates and density) were calculated for each core by averaging the yearly growth during the years 1999 to 2009, in order to avoid bleaching years that might influence growth patterns. Stress bands were defined as a region of the core at least 1 millimeter (mm) thick in which density and the change in density gradient exceeded two standard deviations above each individual whole core average density and gradient. See related BCO-DMO dataset &amp;lt;a href=&amp;quot;https://www.bco-dmo.org/dataset/894894&amp;quot; target=&amp;quot;_blank&amp;quot;&amp;gt;https://www.bco-dmo.org/dataset/894894&amp;lt;/a&amp;gt; for the stress band data.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;BCO-DMO Processing:&amp;lt;/strong&amp;gt;&amp;lt;br /&amp;gt;
- added the Lat and Long fields using the site location data from the related stress band dataset.&amp;lt;/p&amp;gt;</gco:CharacterString>
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