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    <identifier>10.57760/sciencedb.26604</identifier>
    <datestamp>2025-06-20T11:06:57Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2025-06-20</dc:date>
  <dc:title>Grain-size data and Geochemical data of SYW-C core in</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.26604</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Core SYW-C (109&amp;deg;28.59΄E, 18&amp;deg;13.4΄N; 14 m water depth; 1.81 m core length) was obtained from Luhuitou Bay on the east side of Sanya Bay. The core is grayish green and homogenous, with a significant increase in sand at the top 20 cm and 135-181 cm. The shells and their fragments are scattered throughout the core, with a relatively low overall content. The core was split into 181 samples with a 1 cm resolution. The odd numbers of samples were used for coarse fraction weight analysis and grain size analysis, and the even numbers were used for X-ray fluorescence (XRF) analysis and carbonate content analysis.The samples were oven-dried at 60&amp;deg;C, and then each sample (approximately 15 g dry weight) was soaked in distilled water for approximately 24 h to disaggregate, wet-sieved through a 63 &amp;micro;m sieve, and then dried again in an oven. Coarse fraction weights (&amp;gt;63 &amp;micro;m) were then measured, and their percentages were calculated.Approximately 1g of dry sediment from each sample was used for grain size analysis. The organic materials and carbonates were removed with 10% hydrogen peroxide (H2O2) and 10% hydrochloric acid (HCl), respectively, and then the coarse particle fractions (&amp;ge; 500 &amp;micro;m) were removed via the wet sieving. After that, the &amp;lt; 500 &amp;micro;m fractions were dispersed with sodium hexametaphosphate ((NaPO3)6), and the grain size analysis was conducted on a Mastersizer-2000 laser particle analyzer. Each sample was measured three times. The relative error was less than 1% for replicate measurements. The grain size analysis was performed at the Key Laboratory of Ocean and Marginal Sea Geology, South China Sea Institute of Oceanology, Chinese Academy o Sciences. The relative percentages of sand (&amp;ge; 63 &amp;micro;m), silt (4-63 &amp;micro;m) and clay (&amp;le; 4 &amp;micro;m) content were calculated based on the integrated data from both fractions. We extracted sensitive grain size components (0-500 &amp;mu;m) via applying the end-member analysis. End-member analysis is an effective approach for unmixing grain-size data into geologically meaningful end-members through numerical-statistical algorithms (Weltje et al., 1997; Huang et al., 2020). In this study, we performed end-member analysis using parametric methods in the AnalyzeSize software package. The modeling approach employed the Generalized Weibull distribution function for grain-size distribution characterization (Paterson and Heslop, 2015). Based on optimal fitting results, three distinct end-members were identified and selected for further interpretation and discussion.The carbonate content (CaCO3) was determined via a gasometric method. A calibration curve was established by mixing CO2 volumes generated by different Na2CO3 weights with excess 1 mol/L HCl. After that, approximately 0.2 g of dry sediment from each sample was treated with excess 1 mol/L HCl, the CO2 volume was recorded before and after the reaction, and the CO2 volume change was calculated. For every five samples, a correction was applied via a Na2CO3 standard. Replicate analyses of both samples and carbonate standards indicate that the analytical precision was &amp;plusmn;1%.Approximately 5 g of ground and sieved samples (&amp;lt;200 mesh) were weighed and pressed into tablets via the boric acid pressing method (Ji et al. 2003) at a pressure of 30 tonnes. Geochemical analysis was performed on an XRF spectrometer (PANalytical Corporation, Netherlands) at the School of Geography, Nanjing Normal University. The instrument uses Hongze Lake sediment GSS-9 (GBW07423) as a standard material for quality control, and the analysis error is less than 5% (Liu et al. 2022).</dc:description>
  <dc:subject>grain size;  geochemica; storm activity ; sanya bay</dc:subject>
  <dc:creator>Yiping Yang</dc:creator>
  <dc:creator>Rong Xiang</dc:creator>
  <dc:creator>Linggang Tang</dc:creator>
  <dc:creator>Fuchang Zhong</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nd/4.0</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1007/s00367-025-00818-4</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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