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    <responseDate>2026-10-12T06:18:19Z</responseDate>
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    <identifier>10.57760/sciencedb.iga.01101</identifier>
    <datestamp>2026-09-18T17:18:13Z</datestamp>
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  <dc:date>2026-09-18</dc:date>
  <dc:title>XDA28100503&amp;mdash;Monitoring and Assessment Dataset for Tracking Transport Footprints of Water, Fertilizer, Pesticides, and Pollutants in the Sanjiang Plain, China (2022&amp;ndash;2024)</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.iga.01101</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset focuses on the monitoring of water, fertilizer, pesticide, and pollutant transport in the Sanjiang Plain, China, and mainly includes four categories of data: pesticide residues in farmland soils and surrounding water bodies of irrigation districts in 2022, pesticide residues in surface water of the Xingkai Lake region in 2022, pesticide residues in crops of the Xingkai Lake region in 2022, and polycyclic aromatic hydrocarbons (PAHs) in farmland soils from 2022 to 2023. The monitored parameters include the concentrations of 57 pesticides and 3 degradation products, as well as 16 priority-controlled PAHs, together with auxiliary information such as sampling location, cultivation scale, crop type, and sampling period. The data are presented in the form of papers and cover multiple regions in the Sanjiang Plain, including Baoquanling Farm, Youyi Farm, Erdaohe Farm, and Xingkaihu Farm. Temporally, the dataset spans key crop growth stages such as sowing, growing, and maturity, and involves major crops including maize, soybean, and rice, as well as multiple media such as farmland soil and surface water, thus comprehensively reflecting the distribution and transport characteristics of pollutants in this region.</dc:description>
  <dc:subject>Sanjiang Plain; Farmland ecosystem; Pesticide residue; Polycyclic aromatic hydrocarbo; Spatiotemporal distribution</dc:subject>
  <dc:creator>王东红</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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