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    <responseDate>2026-10-14T16:29:39Z</responseDate>
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    <identifier>10.57760/sciencedb.00zuk</identifier>
    <datestamp>2026-08-21T11:47:26Z</datestamp>
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  <dc:date>2026-08-21</dc:date>
  <dc:title>SinoLight-100: A 100-m nighttime light dataset for China (2012&amp;ndash;2025)</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.00zuk</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>    SinoLight-100 is a long-term, high-spatial-resolution nighttime light (NTL) dataset covering China from 2012 to 2025 at a spatial resolution of 100 m. The dataset was generated from NPP/VIIRS DNB NTL data using the deep-learning downscaling model, with Luojia1-01 high-resolution NTL imagery, road networks, impervious surfaces, and Highlight features as auxiliary data.    The dataset contains 14 annual GeoTIFF files for 2012&amp;ndash;2025. Pixel values represent NTL radiance in nW&amp;middot;cm⁻&amp;sup2;&amp;middot;sr⁻&amp;sup1;. The data use the WGS84 coordinate reference system, are stored as Float32, and have a NoData value of 0. SinoLight-100 preserves the long-term temporal patterns of NPP/VIIRS DNB while providing enhanced spatial details, making it suitable for studies of urbanization, regional development, and nighttime human activities.</dc:description>
  <dc:subject>nighttime light data; SinoLight-100; nighttime light; China</dc:subject>
  <dc:creator>Xu Weixing</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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