<?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="WMWTYOKRWGGJOA-CENSZEJFSA-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-450993-mz-values.txt-20190109-20465-ivwl5f" name="msms-450993-mz-values.txt-20190109-20465-ivwl5f" location="http://www.staging.bovinedb.cahttp://moldb.wishartlab.com/system/documents/files/001/937/705/original/msms-450993-mz-values.txt-20190109-20465-ivwl5f?1547066173">
        <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-450993-mz-values.txt-20190109-20465-ivwl5f">
    <spectrumList count="1" defaultDataProcessingRef="SpecDB_processing">
      <spectrum id="file=_msms-450993-mz-values.txt-20190109-20465-ivwl5f" index="0" defaultArrayLength="974">
        <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="10566" 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>+gj84efLRkB0JJf/kOBGQOhmf6Dc/EZAJEc6AyM1R0C7XpoiwIFHQPrVHCCY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</binary>
          </binaryDataArray>
          <binaryDataArray encodedLength="10566" 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>ol2FlJ9UzT9GlzeHa7XPPxf1Se6wicw/GCe+2lGc1D8X9UnusInMPy7GwDqO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</binary>
          </binaryDataArray>
        </binaryDataArrayList>
      </spectrum>
    </spectrumList>
  </run>
</mzML>
