<?xml version='1.0' encoding='utf-8'?>
<?xml-stylesheet type="text/xsl" href="/v2/static/oai2.xsl"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
  <responseDate>2026-10-07T15:32:05Z</responseDate>
  <request identifier="oai:figshare.com:article/34013481" metadataPrefix="oai_dc" verb="GetRecord">https://api.figshare.com/v2/oai</request>
  <GetRecord>
    <record>
      <header>
        <identifier>oai:figshare.com:article/34013481</identifier>
        <datestamp>2026-09-28T14:52:22Z</datestamp>
        <setSpec>category_24193</setSpec>
        <setSpec>category_24202</setSpec>
        <setSpec>category_24310</setSpec>
        <setSpec>item_type_3</setSpec>
        <setSpec>month_year_09_2026</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Chinese</dc:title>
          <dc:creator>ziquan Zhao (25122138)</dc:creator>
          <dc:subject>Genomics and transcriptomics</dc:subject>
          <dc:subject>Statistical and quantitative genetics</dc:subject>
          <dc:subject>Genomics</dc:subject>
          <dc:subject>indica rice (&lt;</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;1.667XianSample.PASS.missing0.9.maf0.01.Biallelic.OnlyGT.WildOutgroup.vcf.gz中包含667新增样本+5份公共数据+3份野生稻外群，包含675个样本的SNP/INDEL数据集，主要用于选择性清除分析、LD分析(不要被missing0.9误导，其实就是missing &lt;=0.1)；&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;br&gt;2.667XianSample.PASS.missing0.9.maf0.01.Biallelic.OnlyGT.WildOutgroup.OnlySNP.LDfilter.vcf.gz则是667XianSample.PASS.missing0.9.maf0.01.Biallelic.OnlyGT.WildOutgroup.vcf.gz数据集经过LD剪枝之后的结果，主要用于群体结构分析(不要被missing0.9误导，其实就是missing &lt;=0.1)；&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;3.672XianSample.50Wild.PASS.missing0.2.maf0.01.Biallelic.OnlyGT.vcf.gz中包含667新增样本+5份公共数据+50份野生稻外群，包含722个样本的SNP/INDEL数据集，主要用于ggComp.plus.sh分析；&lt;br&gt;&lt;br&gt;4.667XianSample.PASS.missing0.2.maf0.01.Biallelic.OnlyGT.beagle.OnlyPhaseKeepMissing.vcf.gz和667XianSample.PASS.missing0.2.maf0.01.Biallelic.OnlyGT.beagle.vcf.gz，则是包含667新增样本+5份公共数据+3份野生稻外群的数据集，使用beagle定相填充以及仅定相不填充的结果，主要用于HaploBlocker和IBD分析；&lt;br&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;5.667XianSample.28Wild.PASS.missing0.2.maf0.01.Biallelic.OnlyGT.OnlySNP.vcf.gz则是包含667新增样本+5份公共数据+28份野生稻外群的数据集，主要用于基因流分析；&lt;/p&gt;&lt;p dir="ltr"&gt;6.667XianSample_k31_sketch_Total0.1.vcf.gz则是包含667新增样本+5份公共数据+3份野生稻外群，并且随机抽样0.%后的Kmer数据集，主要用于群体结构分析。&lt;/p&gt;</dc:description>
          <dc:date>2026-09-28T14:52:22Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.6084/m9.figshare.34013481.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/Chinese/34013481</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
  </GetRecord>
</OAI-PMH>
