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    <responseDate>2026-10-14T20:39:37Z</responseDate>
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    <identifier>10.57760/sciencedb.o00133.0002p</identifier>
    <datestamp>2026-09-05T10:32:17Z</datestamp>
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  <dc:date>2026-09-05</dc:date>
  <dc:title>DeepCoRRSeek</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.o00133.0002p</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>In 2014, the Consortium for Reliability and Reproducibility (CoRR) was established to share repeatedly measured multi-modal brain imaging data with the research community to foster reproducible BWAS. At the time of writing, the three founding papers of CoRR have been cited more than 1600 times and have shaped a substantial and evolving body of research.To operationalize this accumulated knowledge using CoRR's retrospective wisdom, we developed deepCoRRseek; a domain-specific retrieval-augmented generation system built on a reliability-weighted knowledge graph of peer-reviewed neuroimaging literature. As part of the BrainNet imperative, it is publicly available at https://brain-net.cn/deepcorrseek to offer evidence-based, uncertainty-calibrated support and to harness the power of large-scale neuropsychometrics to improve hypothesis generation, experimental design, and biomarker evaluation.</dc:description>
  <dc:subject>BrainNet; CoRR; BWAS</dc:subject>
  <dc:creator>Peng Gao</dc:creator>
  <dc:creator>Xi-Nian Zuo</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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