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    <responseDate>2026-10-14T10:59:27Z</responseDate>
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    <identifier>10.57760/sciencedb.46357</identifier>
    <datestamp>2026-08-21T09:42:19Z</datestamp>
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  <dc:date>2026-08-21</dc:date>
  <dc:title>Predicting Signed Microbe&amp;ndash;Disease Associations Using the Prompt‑Engineered Large Language Model</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.46357</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The deposited .fq files contain quality-controlled, host-depleted paired-end shotgun metagenomic sequencing reads generated from fecal samples collected in the Cohort Study on Olfaction and Neurodegenerative Diseases (COND). Adapter sequences, low-quality reads, and reads mapped to the human reference genome were removed before data deposition. The files are organized using pseudonymized sample identifiers and contain no direct participant identifiers. These sequencing data were subsequently used for microbial taxonomic profiling and downstream statistical analysis.</dc:description>
  <dc:subject>microbe; disease; metagenomics</dc:subject>
  <dc:creator>Zhe Fan</dc:creator>
  <dc:creator>Shengbo Wu</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:publisher>Science Data Bank</dc:publisher>
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