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    <identifier>10.57760/sciencedb.46011</identifier>
    <datestamp>2026-08-12T09:35:23Z</datestamp>
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  <dc:date>2026-08-12</dc:date>
  <dc:title>Resident Population Identification and Estimation Dataset from Mobile Phone Signaling Data in Xi&amp;lsquo;an, China (2022&amp;ndash;2023)</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.46011</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset supports the paper &amp;ldquo;Research on the Identification and Estimation of Resident Population Based on Mobile Phone Signaling Data.&amp;rdquo; It contains population statistics derived from seven months (January&amp;ndash;June 2022 and July 2023) of mobile phone signaling data in Xi&amp;lsquo;an, China. The dataset includes weighted and unweighted resident population estimates at four spatial scales&amp;mdash;city, district, subdistrict, and 200 m &amp;times; 200 m grid. This dataset provides foundational support for urban population dynamics monitoring, fine-scale spatial planning, and methodological research in big data population statistics.</dc:description>
  <dc:subject>population; mobile phone; Xi'an</dc:subject>
  <dc:creator>Zhu Lining</dc:creator>
  <dc:creator>Zhang Chengcheng</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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