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    <responseDate>2026-10-14T22:02:19Z</responseDate>
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    <identifier>10.57760/sciencedb.41296</identifier>
    <datestamp>2026-07-06T22:13:34Z</datestamp>
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  <dc:date>2026-07-06</dc:date>
  <dc:title>Dataset of enzyme activity related to oxidative stress and macro gene sequencing data of earthworms and soil</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.41296</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Under the combined stress of microplastics and cadmium, earthworms experience oxidative stress and changes in their microbial communities. At the same time, the microbial community in the soil around the &amp;quot;earthworm contact zone&amp;quot; where earthworms are located is also affected by earthworm activity and their secretions. However, these changes are complex. When using traditional biostatistics for analysis, the subjectivity is too high and the reliability of big data analysis is poor. It is urgent to construct an interactive verification method combining molecular biostatistics and advanced mathematical models to solve this bottleneck. The data uploaded to the database includes oxidative stress kinase activity data of earthworms in response to pollution stress at various physiological stages, phylum level and gene information of earthworms and soil microorganisms after metagenomic sequencing.&amp;nbsp;</dc:description>
  <dc:subject>Ecotoxicology; Environmental Ecology; Soil Ecology; Heavy Metals and Microplastics; Advanced Mathematical Analytical Models</dc:subject>
  <dc:creator>Zhou Dongxing</dc:creator>
  <dc:creator>Ning Yucui</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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