<?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="DOMWKUIIPQCAJU-LJHIYBGHSA-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-451448-mz-values.txt-20190109-20465-33dowl" name="msms-451448-mz-values.txt-20190109-20465-33dowl" location="http://contaminantdb.cahttp://moldb.wishartlab.com/system/documents/files/001/938/160/original/msms-451448-mz-values.txt-20190109-20465-33dowl?1547066194">
        <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-451448-mz-values.txt-20190109-20465-33dowl">
    <spectrumList count="1" defaultDataProcessingRef="SpecDB_processing">
      <spectrum id="file=_msms-451448-mz-values.txt-20190109-20465-33dowl" 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>QKTfvg6QRkBcH9YbtehGQNWRI52B8UZA8N5RY0ICR0DRBmADIoZHQPBpTl5k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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>Dwu1pnnH1z8+7IUCtoPVP78OnDOitM8/JqyNsRMe8j8c0T3rGi3bPxzRPesa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</binary>
          </binaryDataArray>
        </binaryDataArrayList>
      </spectrum>
    </spectrumList>
  </run>
</mzML>
