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    <identifier>10.57760/sciencedb.22584</identifier>
    <datestamp>2025-04-07T14:59:38Z</datestamp>
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  <dc:date>2025-04-07</dc:date>
  <dc:title>produced fluids</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.22584</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset derives from microbial analysis of production fluid samples collected from 57 oil-water wells in a Chinese oilfield during 2023. Samples were periodically collected at wellheads using sterile sampling bags (quarterly sampling with a 3-month temporal resolution), transported to the laboratory via cold-chain transportation, and subjected to standardized environmental microbial DNA extraction, amplification, and sequencing protocols.16S rRNA gene sequencing (V4-V5 regions, sequencing depth: 50,000 reads/sample) was performed on the Illumina NovaSeq 6000 platform, followed by taxonomic annotation using the Qiime2 pipeline (v2022.8) and the SILVA 138 database.The primary data matrix is structured as:Columns (x-axis): Well identifiers formatted as &amp;quot;sampling time-well name&amp;quot; (e.g., 2023Q1-W-001 for the first quarter of 2023).Rows (y-axis): 50 microbial taxa at the genus level, with relative abundances reported as percentages (precision: 0.000001%).The dataset captures temporal microbial composition variations across all monitored wells. No missing data are present, and no uncontrolled measurement errors were identified during data generation or processing.</dc:description>
  <dc:subject>produced fluids; reservoir; oil</dc:subject>
  <dc:creator>Yang Haitong</dc:creator>
  <dc:creator>Wang Shuoliang</dc:creator>
  <dc:creator>Jiang Liangliang</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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