view test-data/batch04_QC17_rep03_264.mzML @ 2:bc099f2346a1 draft default tip

"planemo upload for repository https://github.com/computational-metabolomics/dimspy-galaxy commit 80069808371b58f45da0c8133c27d67ac1a5b448"
author computational-metabolomics
date Wed, 17 Feb 2021 10:57:11 +0000
parents 62c4813fbe7a
children
line wrap: on
line source

<?xml version="1.0" encoding="utf-8"?>
<indexedmzML 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/mzML1.1.2_idx.xsd">
  <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="batch04_QC17_rep03_264" version="1.1.0">
    <cvList count="2">
      <cv id="MS" fullName="Proteomics Standards Initiative Mass Spectrometry Ontology" version="4.1.12" URI="https://raw.githubusercontent.com/HUPO-PSI/psi-ms-CV/master/psi-ms.obo"/>
      <cv id="UO" fullName="Unit Ontology" version="09:04:2014" URI="https://raw.githubusercontent.com/bio-ontology-research-group/unit-ontology/master/unit.obo"/>
    </cvList>
    <fileDescription>
      <fileContent>
        <cvParam cvRef="MS" accession="MS:1001472" name="selected ion monitoring chromatogram" value=""/>
      </fileContent>
      <sourceFileList count="1">
        <sourceFile id="RAW1" name="batch04_QC17_rep03_264.RAW" location="file:///C:\Users\weberrj\Downloads\raw\raw">
          <cvParam cvRef="MS" accession="MS:1000768" name="Thermo nativeID format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000563" name="Thermo RAW format" value=""/>
          <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="281dbd5a7381913e4e2bff00458bfac79a652c17"/>
        </sourceFile>
      </sourceFileList>
    </fileDescription>
    <referenceableParamGroupList count="1">
      <referenceableParamGroup id="CommonInstrumentParams">
        <cvParam cvRef="MS" accession="MS:1000557" name="LTQ FT Ultra" value=""/>
        <cvParam cvRef="MS" accession="MS:1000529" name="instrument serial number" value="SN06102F"/>
      </referenceableParamGroup>
    </referenceableParamGroupList>
    <sampleList count="1">
      <sample id="_x0032_64" name="">
        <cvParam cvRef="MS" accession="MS:1000002" name="sample name" value="264"/>
      </sample>
    </sampleList>
    <softwareList count="2">
      <software id="Xcalibur" version="2.5.5">
        <cvParam cvRef="MS" accession="MS:1000532" name="Xcalibur" value=""/>
      </software>
      <software id="pwiz" version="3.0.19248">
        <cvParam cvRef="MS" accession="MS:1000615" name="ProteoWizard software" value=""/>
      </software>
    </softwareList>
    <instrumentConfigurationList count="2">
      <instrumentConfiguration id="IC1">
        <referenceableParamGroupRef ref="CommonInstrumentParams"/>
        <componentList count="3">
          <source order="1">
            <cvParam cvRef="MS" accession="MS:1000073" name="electrospray ionization" value=""/>
            <cvParam cvRef="MS" accession="MS:1000057" name="electrospray inlet" value=""/>
          </source>
          <analyzer order="2">
            <cvParam cvRef="MS" accession="MS:1000079" name="fourier transform ion cyclotron resonance mass spectrometer" value=""/>
          </analyzer>
          <detector order="3">
            <cvParam cvRef="MS" accession="MS:1000624" name="inductive detector" value=""/>
          </detector>
        </componentList>
        <softwareRef ref="Xcalibur"/>
      </instrumentConfiguration>
      <instrumentConfiguration id="IC2">
        <referenceableParamGroupRef ref="CommonInstrumentParams"/>
        <componentList count="3">
          <source order="1">
            <cvParam cvRef="MS" accession="MS:1000073" name="electrospray ionization" value=""/>
            <cvParam cvRef="MS" accession="MS:1000057" name="electrospray inlet" value=""/>
          </source>
          <analyzer order="2">
            <cvParam cvRef="MS" accession="MS:1000083" name="radial ejection linear ion trap" value=""/>
          </analyzer>
          <detector order="3">
            <cvParam cvRef="MS" accession="MS:1000253" name="electron multiplier" value=""/>
          </detector>
        </componentList>
        <softwareRef ref="Xcalibur"/>
      </instrumentConfiguration>
    </instrumentConfigurationList>
    <dataProcessingList count="1">
      <dataProcessing id="pwiz_Reader_Thermo_conversion">
        <processingMethod order="0" softwareRef="pwiz">
          <cvParam cvRef="MS" accession="MS:1000544" name="Conversion to mzML" value=""/>
        </processingMethod>
        <processingMethod order="1" softwareRef="pwiz">
          <cvParam cvRef="MS" accession="MS:1000035" name="peak picking" value=""/>
          <userParam name="Thermo/Xcalibur peak picking"/>
        </processingMethod>
      </dataProcessing>
    </dataProcessingList>
    <run id="batch04_QC17_rep03_264" defaultInstrumentConfigurationRef="IC1" startTimeStamp="2011-04-02T02:34:09Z" defaultSourceFileRef="RAW1">
      <spectrumList count="1" defaultDataProcessingRef="pwiz_Reader_Thermo_conversion">
        <spectrum index="0" id="controllerType=0 controllerNumber=1 scan=5" defaultArrayLength="3409">
          <cvParam cvRef="MS" accession="MS:1000582" name="SIM spectrum" value=""/>
          <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/>
          <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
          <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/>
          <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="132.076675415039" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
          <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="1.6059164e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="4.504306e07"/>
          <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="70.004097218117" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
          <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="169.992091631272" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
          <cvParam cvRef="MS" accession="MS:1000796" name="spectrum title" value="batch04_QC17_rep03_264.5.5. File:&quot;batch04_QC17_rep03_264.RAW&quot;, NativeID:&quot;controllerType=0 controllerNumber=1 scan=5&quot;"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.572555" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p ESI w SIM ms [70.00-170.00]"/>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/>
              <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="35.437644958496" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="70.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="170.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>
              </scanWindowList>
            </scan>
          </scanList>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="31196">
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="18552">
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>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</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </spectrum>
      </spectrumList>
      <chromatogramList count="1" defaultDataProcessingRef="pwiz_Reader_Thermo_conversion">
        <chromatogram index="0" id="TIC" defaultArrayLength="88">
          <cvParam cvRef="MS" accession="MS:1000235" name="total ion current chromatogram" value=""/>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="956">
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <binary>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</binary>
            </binaryDataArray>
            <binaryDataArray encodedLength="540">
              <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
              <binary>eJwlkU8og3EYx39OK2krTv6svS5Sa+Ow2mGZbcRKWY1htmWbaGsHSykWeQ/jQC4TWml7zcEytRKikbekhtBymFBWWpkVFxe5yPc5ffp8n+f7vr/f+zLGxErzgpExJrANojwf/mdht4E8EALZdz25RULujILujAsUJRPExNgM8vEyWKiygsL5Gcg1CjQPWUBD2gSy9Wpyeyvt7bxP/5NPmuF8k8yFXrDTCU+pQfFQQX5bARZeWkAhzoFM3gxyvRHa965Q3p6mnj3ngIt56l1lKc8ce3GetSmQ96tH4T4n+WmU5roEyD0kQXdCRe6gPe6+DT3hx0Nz3RblN5fU1y6BgurThrk+0o98VkrcrqHcnIWz5Tcr7qGM9+EcxX2ae4vI+SMPcnZXArkeC839CtpP75nwvudhUBxRgqw7bMT3W3VSfnHSgTzzSHnXL5yPzYFirITcrXwlanzo8dIgXMhpBumeIlhYPBhCb/J6AD7P7Hj+kx/OyhHKa79Ad0CPHvvw4/8YNmXIxTobcl6byhr+ADscslQ=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
      </chromatogramList>
    </run>
  </mzML>
  <indexList count="2">
    <index name="spectrum">
      <offset idRef="controllerType=0 controllerNumber=1 scan=5">4902</offset>
    </index>
    <index name="chromatogram">
      <offset idRef="TIC">58394</offset>
    </index>
  </indexList>
  <indexListOffset>61100</indexListOffset>
  <fileChecksum>6dc86bbf78488ed86cbc876b769cbf05e2075a72</fileChecksum>
</indexedmzML>