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    <identifier>10.57760/sciencedb.40950</identifier>
    <datestamp>2026-07-02T16:17:18Z</datestamp>
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  <dc:date>2026-07-02</dc:date>
  <dc:title>Source data for publication &amp;quot;A dual life-cycle framework for proactive emerging pollutant management&amp;quot;</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.40950</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This integrated dataset package contains all raw statistical inputs, Python modelling scripts, calibrated intermediate parameters, multi-scale emission inventories, factor decomposition outputs and supporting field monitoring data used for the dual life-cycle TCS risk assessment manuscript. The temporal coverage spans 1970 to 2060, covering historical statistical periods (1970&amp;ndash;2024) and long-term predictive periods (2025&amp;ndash;2060). Spatially, the data supports three hierarchical scales: national aggregate, 31 provincial administrative regions, and 25&amp;times;25 km regular grid cells across mainland China; four official economic zones (Eastern, Central, Western, Northeastern) are further aggregated for comparative analysis. All computational workflows rely on Python 3.8+ with pandas, numpy, scipy and openpyxl as core processing libraries, compatible with Windows, macOS and Linux operating systems; all tabular data adopt standard Excel (.xlsx) format readable by Office, WPS and open-source LibreOffice without proprietary software restrictions.</dc:description>
  <dc:subject>pollutant management; life-cycle framework; triclosan</dc:subject>
  <dc:creator>赵雪</dc:creator>
  <dc:creator>祝富杰</dc:creator>
  <dc:creator>姜璐</dc:creator>
  <dc:creator>李志刚</dc:creator>
  <dc:creator>陈冯杰</dc:creator>
  <dc:creator>高宏</dc:creator>
  <dc:creator>吕继涛</dc:creator>
  <dc:creator>王亚韡</dc:creator>
  <dc:creator>江桂斌</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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