<?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="LIIALPBMIOVAHH-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="_35161.txt" name="35161.txt" location="http://cannabisdatabase.cahttp://moldb.wishartlab.com/system/documents/files/002/758/842/original/35161.txt?1595374169">
        <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="_35161.txt">
    <spectrumList count="1" defaultDataProcessingRef="SpecDB_processing">
      <spectrum id="file=_35161.txt" index="0" defaultArrayLength="1634">
        <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="17723" 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>Iv32deAMOUCkcD0K1yM5QOhqK/aXPTlAI9v5fmpMOUAXt9EA3lI5QD0s1Jrm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</binary>
          </binaryDataArray>
          <binaryDataArray encodedLength="17723" 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>r0Je2KCLpD8LPyl0DZytPxnQ/ALi+6k/qU6eqQTBpT8Z0PwC4vupPxeHc0gD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</binary>
          </binaryDataArray>
        </binaryDataArrayList>
      </spectrum>
    </spectrumList>
  </run>
</mzML>
