<?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="PVLJETXTTWAYEW-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-450824-mz-values.txt-20190109-20465-1ppd76i" name="msms-450824-mz-values.txt-20190109-20465-1ppd76i" location="http://contaminantdb.cahttp://moldb.wishartlab.com/system/documents/files/001/937/536/original/msms-450824-mz-values.txt-20190109-20465-1ppd76i?1547066165">
        <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-450824-mz-values.txt-20190109-20465-1ppd76i">
    <spectrumList count="1" defaultDataProcessingRef="SpecDB_processing">
      <spectrum id="file=_msms-450824-mz-values.txt-20190109-20465-1ppd76i" index="0" defaultArrayLength="971">
        <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="10533" 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>SyL7IMuARkA+d4L9149GQAiQoWMHnUZAWcFvQ4yvRkDdBrXf2s9GQFw9J71v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</binary>
          </binaryDataArray>
          <binaryDataArray encodedLength="10533" 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>JNbiUwCMuz+6aMh4lEq8P25t4Xmp2MQ/JNbiUwCMuz98CoDxDBrEP41D/S5s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</binary>
          </binaryDataArray>
        </binaryDataArrayList>
      </spectrum>
    </spectrumList>
  </run>
</mzML>
