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    <responseDate>2026-10-13T17:23:49Z</responseDate>
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    <identifier>10.57760/sciencedb.0133o</identifier>
    <datestamp>2026-09-24T09:43:35Z</datestamp>
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  <dc:date>2026-09-24</dc:date>
  <dc:title>GV21 enables ultrasound molecular imaging of tumor cell-associated  VEGFR2 for early therapy assessment</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.0133o</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This data file contains all the raw data used for displaying the result graphs in the paper. There are a total of 20 sheets in the Excel file, each corresponding to a result image. The arrangement order of the sheets is consistent with the order in which the images appear in the main text and supplementary materials. The first row of each sheet is the column name, and the raw data starts from the second row. This data is sourced from GV21 enables ultrasound molecular imaging of tumor cell-associated VEGFR2 for early therapy assessment， The research objective is to verify the application of GV21 in molecular imaging and efficacy evaluation. The data were obtained through experiments. The collection time was 2022-2026, and the collection place or platform was Shenzhen Advanced Academy of Chinese Academy of Sciences. The raw data is organized through grouping and sorting steps to form the current Excel file. This data can be used for result reproduction, system evaluation, model validation, and subsequent comparative studies.&amp;nbsp;</dc:description>
  <dc:subject>basic experiment;  dataset;  Reproducible data analysis</dc:subject>
  <dc:creator>Xiaoxin Liang</dc:creator>
  <dc:creator>Lu Shilin</dc:creator>
  <dc:creator>Yang Liang</dc:creator>
  <dc:creator>飞严</dc:creator>
  <dc:creator>Zhou Jianhua</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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