<?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="URKOMYMAXPYINW-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-451725-mz-values.txt-20190109-20465-jif0r9" name="msms-451725-mz-values.txt-20190109-20465-jif0r9" location="http://bovinedb.cahttp://moldb.wishartlab.com/system/documents/files/001/938/437/original/msms-451725-mz-values.txt-20190109-20465-jif0r9?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-451725-mz-values.txt-20190109-20465-jif0r9">
    <spectrumList count="1" defaultDataProcessingRef="SpecDB_processing">
      <spectrum id="file=_msms-451725-mz-values.txt-20190109-20465-jif0r9" 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>DQBV3LiDRkDTo6mezCdHQMzuycNCa0dAhv90AwWqR0Bmo3N+isFHQBBaD18m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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>BWwHI/YJkD/QC3cujPSSPwVsByP2CZA/BWwHI/YJkD+22y4012mUP7bbLjTX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</binary>
          </binaryDataArray>
        </binaryDataArrayList>
      </spectrum>
    </spectrumList>
  </run>
</mzML>
