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    <identifier>10.57760/sciencedb.010zy</identifier>
    <datestamp>2026-09-03T11:11:23Z</datestamp>
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  <dc:date>2026-09-03</dc:date>
  <dc:title>A Multimodal Spatiotemporally Aligned Benchmark Dataset for Intelligent Recognition of Summer Maize Phenological Stages</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.010zy</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The dataset is a multimodal spatiotemporally aligned benchmark dataset designed for intelligent recognition of summer maize phenological stages. It comprises 13,896 hourly aligned samples, each associating a high-resolution canopy image with a 21-dimensional environmental feature matrix, covering seven growing seasons from 2016 to 2022 at two agrometeorological experiment stations.</dc:description>
  <dc:subject>maize; phenological stages; multimodal benchmark dataset</dc:subject>
  <dc:creator>Su Wu</dc:creator>
  <dc:creator>Mengxuan Liu</dc:creator>
  <dc:creator>Dongli Wu</dc:creator>
  <dc:creator>Haibo Chen</dc:creator>
  <dc:creator>Yanhong Que</dc:creator>
  <dc:creator>Beibei Wang</dc:creator>
  <dc:creator>Hanxiao Zhang</dc:creator>
  <dc:creator>Dongzhe Tian</dc:creator>
  <dc:creator>Zhihao Liu</dc:creator>
  <dc:creator>Yijun Liu</dc:creator>
  <dc:creator>Mengnan Xiao</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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