<?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="GPTFURBXHJWNHR-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-452167-mz-values.txt-20190109-20465-nsgnt2" name="msms-452167-mz-values.txt-20190109-20465-nsgnt2" location="http://bovinedb.cahttp://moldb.wishartlab.com/system/documents/files/001/938/879/original/msms-452167-mz-values.txt-20190109-20465-nsgnt2?1547066228">
        <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-452167-mz-values.txt-20190109-20465-nsgnt2">
    <spectrumList count="1" defaultDataProcessingRef="SpecDB_processing">
      <spectrum id="file=_msms-452167-mz-values.txt-20190109-20465-nsgnt2" 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>p3oy/+i6UUChaB7AIt9RQFFPH4E/+FFAX3mQniL6UkDAIr9+iIBTQCECDqFK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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>kfEolfCEjj/tuyL430qWP4aNsn4zMY0/csXFUbmJmj/iV6zhIveUP5FCWfj6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</binary>
          </binaryDataArray>
        </binaryDataArrayList>
      </spectrum>
    </spectrumList>
  </run>
</mzML>
