<?xml version="1.0"?>
<mzML xmlns="http://psi.hupo.org/ms/mzml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://psi.hupo.org/ms/mzml http://psidev.info/files/ms/mzML/xsd/mzML1.1.0.xsd" id="WDZVGELJXXEGPV-UHFFFAOYSA-N" version="0.1">
  <cvList count="2">
    <cv id="MS" fullName="Proteomics Standards Initiative Mass Spectrometry Ontology" version="2.26.0" URI="http://psidev.cvs.sourceforge.net/*checkout*/psidev/psi/psi-ms/mzML/controlledVocabulary/psi-ms.obo"/>
    <cv id="UO" fullName="Unit Ontology" version="14:07:2009" URI="http://obo.cvs.sourceforge.net/*checkout*/obo/obo/ontology/phenotype/unit.obo"/>
  </cvList>
  <fileDescription>
    <fileContent>
      <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/>
    </fileContent>
    <sourceFileList count="1">
      <sourceFile id="_msms-451736-mz-values.txt-20190109-20465-13p3qep" name="msms-451736-mz-values.txt-20190109-20465-13p3qep" location="http://contaminantdb.cahttp://moldb.wishartlab.com/system/documents/files/001/938/448/original/msms-451736-mz-values.txt-20190109-20465-13p3qep?1547066213">
        <cvParam cvRef="MS" accession="MS:1001369" name="text file" value=""/>
      </sourceFile>
    </sourceFileList>
    <contact>
      <cvParam cvRef="MS" accession="MS:1000586" name="contact name" value="David Wishart"/>
      <cvParam cvRef="MS" accession="MS:1000590" name="contact organization" value="University of Alberta"/>
      <cvParam cvRef="MS" accession="MS:1000587" name="contact address" value="University of Alberta, Edmonton, Alberta, Canada, T6G 2E8"/>
      <cvParam cvRef="MS" accession="MS:1000588" name="contact URL" value="http://wishartlab.com"/>
      <cvParam cvRef="MS" accession="MS:1000589" name="contact email" value="david.wishart@ualberta.ca"/>
    </contact>
  </fileDescription>
  <softwareList count="1">
    <software id="SpecDB" version="0.1">
      <cvParam cvRef="MS" accession="MS:1000799" name="custom unreleased software tool" value="SpecDB Spectra management database"/>
    </software>
  </softwareList>
  <instrumentConfigurationList count="1">
    <instrumentConfiguration id="instrument">
      <cvParam cvRef="MS" accession="MS:1000031" name="instrument model" value=""/>
    </instrumentConfiguration>
  </instrumentConfigurationList>
  <dataProcessingList count="1">
    <dataProcessing id="SpecDB_processing">
      <processingMethod order="1" softwareRef="SpecDB">
        <cvParam cvRef="MS" accession="MS:1000544" name="Conversion to mzML" value=""/>
      </processingMethod>
    </dataProcessing>
  </dataProcessingList>
  <run id="run_1" defaultInstrumentConfigurationRef="instrument" defaultSourceFileRef="_msms-451736-mz-values.txt-20190109-20465-13p3qep">
    <spectrumList count="1" defaultDataProcessingRef="SpecDB_processing">
      <spectrum id="file=_msms-451736-mz-values.txt-20190109-20465-13p3qep" index="0" defaultArrayLength="1000">
        <cvParam cvRef="MS" accession="MS:1000580" name="MSn spectrum" value=""/>
        <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/>
        <binaryDataArrayList count="2">
          <binaryDataArray encodedLength="10846" dataProcessingRef="SpecDB_processing">
            <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/>
            <cvParam cvRef="MS" accession="MS:1000576" name="no compression" value=""/>
            <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            <binary>CB7f3jXaRkApzHucaeBGQLn7HB8t8kZAGsBbIEH5RkCBJOzbSQhHQMMrSZ7r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</binary>
          </binaryDataArray>
          <binaryDataArray encodedLength="10846" dataProcessingRef="SpecDB_processing">
            <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/>
            <cvParam cvRef="MS" accession="MS:1000576" name="no compression" value=""/>
            <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of counts"/>
            <binary>6iKFsvD1tT8vUigLX1+/P4y61t6nqso/XaRQFr6+xj9dpFAWvr7GP9O9TurL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</binary>
          </binaryDataArray>
        </binaryDataArrayList>
      </spectrum>
    </spectrumList>
  </run>
</mzML>
