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    <responseDate>2026-10-13T19:43:35Z</responseDate>
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    <identifier>10.57760/sciencedb.IGA.001dl</identifier>
    <datestamp>2026-08-31T11:23:38Z</datestamp>
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  <dc:date>2026-08-31</dc:date>
  <dc:title>XDA28100505 - Dataset for Model Application Effect Evaluation</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.iga.001dl</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset comprises the data for evaluating the effectiveness of demonstration models in the Sanjiang Demonstration Area from 2022 to 2025, submitted by implementers of each model. The original raw data materials are collected and submitted uniformly by the implementing entities of various demonstration models within the Sanjiang Demonstration Area, including paddy field water-soil regulation, soil moisture remote sensing inversion, and farmland ecological optimization models.
Each demonstration model contains multiple types of first-hand evaluation materials: field on-site observation ledgers, statistical results of remote sensing monitoring, household survey records, input-output accounting of model implementation, and monitoring outcomes of water and soil environmental indicators. It covers all practically deployed technical demonstration models in the rice demonstration zones of the Sanjiang Plain during 2022&amp;ndash;2025.
All submitted original documents are official assessment ledgers compiled annually by each demonstration unit after field experiments, monitoring and statistical work. They are supported by complete experimental records and on-site monitoring vouchers. The data sources align with the practical operational and scientific research demands for comprehensive benefit evaluation of paddy fields in the Sanjiang Plain.</dc:description>
  <dc:subject>Sanjiang Demonstration Area; monitoring data; Model effect evaluation</dc:subject>
  <dc:creator>郑兴明</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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