view test-data/batch04_QC17_rep01_262.mzML @ 2:7b6f148bd99f draft default tip

"planemo upload for repository https://github.com/computational-metabolomics/dimspy-galaxy commit 80069808371b58f45da0c8133c27d67ac1a5b448"
author computational-metabolomics
date Wed, 17 Feb 2021 10:57:52 +0000
parents 33b65dacd377
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_rep01_262" 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_rep01_262.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="db713ea6ef1ad7aa19a00fa478027a4ee6acfe1d"/>
        </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_62" name="">
        <cvParam cvRef="MS" accession="MS:1000002" name="sample name" value="262"/>
      </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_rep01_262" defaultInstrumentConfigurationRef="IC1" startTimeStamp="2011-04-02T02:28:02Z" defaultSourceFileRef="RAW1">
      <spectrumList count="1" defaultDataProcessingRef="pwiz_Reader_Thermo_conversion">
        <spectrum index="0" id="controllerType=0 controllerNumber=1 scan=5" defaultArrayLength="3205">
          <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="1.3824452e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="3.8514884e07"/>
          <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="70.003132665583" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
          <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="169.980165333379" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
          <cvParam cvRef="MS" accession="MS:1000796" name="spectrum title" value="batch04_QC17_rep01_262.5.5. File:&quot;batch04_QC17_rep01_262.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="0.57299" 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="40.172946929932" 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="29396">
              <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="17496">
              <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="512">
              <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>
        </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">55538</offset>
    </index>
  </indexList>
  <indexListOffset>58216</indexListOffset>
  <fileChecksum>d0c5942b710bc7b9ad30adc0476aee6c201e45df</fileChecksum>
</indexedmzML>