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    <responseDate>2026-10-13T16:58:36Z</responseDate>
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    <identifier>10.57760/sciencedb.012mt</identifier>
    <datestamp>2026-09-16T16:46:30Z</datestamp>
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  <dc:date>2026-09-16</dc:date>
  <dc:title>Data for &amp;quot;Zero-Shot Identification of Closely Related Compounds in Mixtures by Surface-Enhanced Infrared Absorption Spectroscopy&amp;quot;</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.012mt</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Experimental SEIRA spectra for ten reference compounds and twenty mixtures, comprising 535 reference scans and 1,053 mixture scans. The spectra are supplied as CSV files and Excel workbooks. The deposit also includes processed model inputs, trained model parameters, predictions, and numerical figure and table data.</dc:description>
  <dc:subject>SEIRA; infrared spectroscopy; chemical mixtures;  machine learning</dc:subject>
  <dc:creator>Dat Tran</dc:creator>
  <dc:creator>Andres B. Sanchez-Alvarado</dc:creator>
  <dc:creator>Divyam Bansal</dc:creator>
  <dc:creator>Aleida Machorro-Ortiz</dc:creator>
  <dc:creator>Christian Sandoval-Pauker</dc:creator>
  <dc:creator>Oara Neumann</dc:creator>
  <dc:creator>Thomas P. Senftle</dc:creator>
  <dc:creator>Peter Nordlander</dc:creator>
  <dc:creator>Naomi J. Halas</dc:creator>
  <dc:creator>Ankit Patel</dc:creator>
  <dc:rights>EMBARGO</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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