comparison test-data/MassLynxTest.mzML @ 11:052798dd73dd draft default tip

"planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/msconvert commit 7aa618964e95528ed59eea299701e65ccacae877"

10:06747cba5685

<?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="MassLynxTest" 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>
      </fileContent>

    </fileDescription>
    <softwareList count="2">
      <software id="MassLynx" version="4.1">
        <cvParam cvRef="MS" accession="MS:1000534" name="MassLynx" value=""/>
      </software>
      <software id="pwiz_Reader_Waters" version="3.0.19044">
        <cvParam cvRef="MS" accession="MS:1000615" name="ProteoWizard software" value=""/>
      </software>
    </softwareList>
    <instrumentConfigurationList count="1">
      <instrumentConfiguration id="IC">

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="1.21414368e08"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="17"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="22.488966" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1602.794555664063" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="2.5375226e07"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="17"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="23.8005009" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1602.794555664063" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="3.620536e08"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="19"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="28.0034008" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1629.83642578125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="1.9300006e07"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="19"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="29.0998173" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1629.83642578125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="2.740958e06"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="19"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="29.3877659" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1629.83642578125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="5.536637e06"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="19"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="29.4785671" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1629.83642578125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="3.841355e06"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="13"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="30.3237991" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1418.725952148438" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="3.910428e06"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="13"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="30.4411335" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1418.725952148438" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="1.1365305e07"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="13"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="30.5251675" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1418.725952148438" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="4.246456e06"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="21"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="41.1892662" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1644.861694335938" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.48108e06"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="16"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="47.7860336" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1582.318359375" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="5.004759e06"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="23"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="54.191967" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1724.406982421875" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="1.2302028e08"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="18"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="57.8528824" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1618.336059570313" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="1.871481e06"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="18"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="58.7257652" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1618.336059570313" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.6131832e07"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="24"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="69.4673462" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1759.425659179688" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

        </spectrum>
      </spectrumList>
      <chromatogramList count="25" defaultDataProcessingRef="pwiz_Reader_Waters_conversion">
        <chromatogram index="0" id="TIC" defaultArrayLength="5112">
          <cvParam cvRef="MS" accession="MS:1000235" name="total ion current chromatogram" value=""/>
          <binaryDataArrayList count="2">
            <binaryDataArray encodedLength="21040">
              <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 encodedLength="23888">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-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>
        <chromatogram index="1" id="SRM SIC Q1=418.726 Q3=666.343 function=1 offset=0" defaultArrayLength="373">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>

    </run>
  </mzML>
  <indexList count="2">
    <index name="spectrum">
      <offset idRef="function=17 process=0 scan=1">31423</offset>
      <offset idRef="function=17 process=0 scan=2">40845</offset>
      <offset idRef="function=19 process=0 scan=1">47446</offset>
      <offset idRef="function=19 process=0 scan=2">63161</offset>
      <offset idRef="function=19 process=0 scan=3">69406</offset>
      <offset idRef="function=19 process=0 scan=4">75389</offset>
      <offset idRef="function=13 process=0 scan=1">81057</offset>
      <offset idRef="function=13 process=0 scan=2">86570</offset>
      <offset idRef="function=13 process=0 scan=3">91727</offset>
      <offset idRef="function=21 process=0 scan=1">97760</offset>
      <offset idRef="function=16 process=0 scan=1">103159</offset>
      <offset idRef="function=23 process=0 scan=1">108645</offset>
      <offset idRef="function=18 process=0 scan=1">114090</offset>
      <offset idRef="function=18 process=0 scan=2">122718</offset>
      <offset idRef="function=24 process=0 scan=1">128234</offset>
    </index>
    <index name="chromatogram">
      <offset idRef="TIC">138342</offset>
      <offset idRef="SRM SIC Q1=418.726 Q3=666.343 function=1 offset=0">184445</offset>
      <offset idRef="SRM SIC Q1=418.726 Q3=723.362 function=1 offset=1">189027</offset>
      <offset idRef="SRM SIC Q1=461.745 Q3=476.261 function=2 offset=0">193677</offset>
      <offset idRef="SRM SIC Q1=461.745 Q3=722.401 function=2 offset=1">198323</offset>
      <offset idRef="SRM SIC Q1=527.288 Q3=581.261 function=3 offset=0">202989</offset>
      <offset idRef="SRM SIC Q1=527.288 Q3=841.416 function=3 offset=1">207374</offset>
      <offset idRef="SRM SIC Q1=582.318 Q3=595.305 function=4 offset=0">211731</offset>
      <offset idRef="SRM SIC Q1=582.318 Q3=951.471 function=4 offset=1">217047</offset>
      <offset idRef="SRM SIC Q1=602.795 Q3=792.346 function=5 offset=0">222505</offset>
      <offset idRef="SRM SIC Q1=602.795 Q3=921.387 function=5 offset=1">226575</offset>
      <offset idRef="SRM SIC Q1=618.336 Q3=478.26 function=6 offset=0">230634</offset>
      <offset idRef="SRM SIC Q1=618.336 Q3=759.433 function=6 offset=1">236512</offset>
      <offset idRef="SRM SIC Q1=629.836 Q3=832.437 function=7 offset=0">242386</offset>
      <offset idRef="SRM SIC Q1=629.836 Q3=1017.52 function=7 offset=1">248286</offset>
      <offset idRef="SRM SIC Q1=643.86 Q3=745.458 function=8 offset=0">254274</offset>
      <offset idRef="SRM SIC Q1=643.86 Q3=1073.57 function=8 offset=1">258764</offset>
      <offset idRef="SRM SIC Q1=644.862 Q3=834.448 function=9 offset=0">263200</offset>
      <offset idRef="SRM SIC Q1=644.862 Q3=947.527 function=9 offset=1">266979</offset>
      <offset idRef="SRM SIC Q1=721.853 Q3=856.372 function=10 offset=0">270740</offset>
      <offset idRef="SRM SIC Q1=721.853 Q3=1067.48 function=10 offset=1">276349</offset>
      <offset idRef="SRM SIC Q1=724.407 Q3=778.393 function=11 offset=0">281950</offset>
      <offset idRef="SRM SIC Q1=724.407 Q3=1079.56 function=11 offset=1">287202</offset>
      <offset idRef="SRM SIC Q1=759.426 Q3=761.435 function=12 offset=0">292378</offset>
      <offset idRef="SRM SIC Q1=759.426 Q3=832.471 function=12 offset=1">296249</offset>
    </index>
  </indexList>
  <indexListOffset>300205</indexListOffset>
  <fileChecksum>dd6223a8d7fcf64e7b1270ed861077758703acd7</fileChecksum>
</indexedmzML>

11:052798dd73dd

<?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="MassLynxTest" version="1.1.0">
    <cvList count="2">
      <cv id="MS" fullName="Proteomics Standards Initiative Mass Spectrometry Ontology" version="4.1.41" 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>
      </fileContent>

    </fileDescription>
    <softwareList count="2">
      <software id="MassLynx" version="4.1">
        <cvParam cvRef="MS" accession="MS:1000534" name="MassLynx" value=""/>
      </software>
      <software id="pwiz_Reader_Waters" version="3.0.20287">
        <cvParam cvRef="MS" accession="MS:1000615" name="ProteoWizard software" value=""/>
      </software>
    </softwareList>
    <instrumentConfigurationList count="1">
      <instrumentConfiguration id="IC">

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="1.21414368e08"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="17"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="22.488965988159" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1602.794555664063" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="2.5375226e07"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="17"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="23.800500869751" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1602.794555664063" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="3.620536e08"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="19"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="28.003400802612" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1629.83642578125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="1.9300006e07"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="19"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="29.099817276001" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1629.83642578125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="2.740958e06"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="19"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="29.387765884399" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1629.83642578125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="5.536637e06"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="19"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="29.478567123413" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1629.83642578125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="3.841355e06"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="13"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="30.323799133301" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1418.725952148438" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="3.910428e06"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="13"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="30.441133499146" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1418.725952148438" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="1.1365305e07"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="13"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="30.52516746521" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1418.725952148438" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="4.246456e06"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="21"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="41.189266204834" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1644.861694335938" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.48108e06"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="16"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="47.786033630371" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1582.318359375" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="5.004759e06"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="23"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="54.191967010498" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1724.406982421875" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="1.2302028e08"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="18"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="57.852882385254" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1618.336059570313" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="1.871481e06"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="18"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="58.725765228271" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1618.336059570313" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

          <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.6131832e07"/>
          <scanList count="1">
            <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
            <scan>
              <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="24"/>
              <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="69.467346191406" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
              <scanWindowList count="1">
                <scanWindow>
                  <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="50.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                  <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1759.425659179688" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
                </scanWindow>

        </spectrum>
      </spectrumList>
      <chromatogramList count="25" defaultDataProcessingRef="pwiz_Reader_Waters_conversion">
        <chromatogram index="0" id="TIC" defaultArrayLength="5112">
          <cvParam cvRef="MS" accession="MS:1000235" name="total ion current chromatogram" value=""/>
          <binaryDataArrayList count="3">
            <binaryDataArray encodedLength="21040">
              <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 encodedLength="23888">
              <cvParam cvRef="MS" accession="MS:1000521" name="32-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>eJw0m3k4Ve37xSVJkkypJEnITOZ5WM/e5xzzPM+SZEpIpRISEkJCkqRSIZUkSZOkSb0lTZpnaVKv5E3Db5/9vX5/dInrnL3Pfp77Xuuz7r3PZOETuC2VguQ/CegMisTqHYlQlIvDmksZqJdah80kC/+NroLkmUQ4dMdBKz8HB74kYrwxFYJekXi7LQIpIlwo8JZBYM4yvPgUjab8dIQqRkOyzR3K9wqxem4nxhRa4cBrQYp4CbqWxiDmxCo0KaXi1JtsTP+xlvl/AqqWLUHe0SAM1y9Fk08i/hHMRuCLGFzrzULC9g3IW5aEvINxUL2ajFv1+bj0JA2D8WGIVlmDL6fs8Yrnhwf3o1AXm4Cknhz0r60D2uowvr0AaevzcdOtCIajmdi9IxShrbZIDHKC7ZZATO+IgYVqFqr9szHjexre7cqG+YdwZFiHYXgwC4LN6/FkeQzMnZywwm4t4r5kYdfGEkSvWo/9ypm4+m88jPa64vbSciitakWt1nH0vIlGslYb7mttBPWoFmLRtThb1wifr1dR1r8Yj99V4Efze5Q9uovdV7dg9h4t8u/3b0RdXZXax4unao/2Uve8lWn/uhJ6qq4Ep/icF6fI8ywncud/nLFzblwN5R3cX6qnuQWuT7kGZfK8F3uMeEU7HHi1+1x42SJreEErYnni3xfzgsreOVm+MOfZz1Hh6eeOcV98usyVWdjK1Z9bxG3O1OMuShfnGhl/5dRlHOZobSzgPPjoxfly04GjM7aQ03LuI+2R9ZL+EP+SdjlwjFaXOE5vHS+kFfQL6PaYtXT+pxh65+JIevoWTzrhP9C/F0vRkzXFaLGez9SD3GEq/N4favTMLarN4Q9VLdFFKdu3UMcWnackMiupDoF06pF4GjXoWU0dtIyl5IdzqNZdupSPTTg1aW4I5Zc0n8pS1qQKY2dTdTmCVAK5TzQD9KhtnZqU4plXJEPgAXE7pENp7beilPtFqG9hEpRI5ClS63qI9Dq3kaoNHaR58n6iJLWbHJx+jmw4f5v4rHhNivWEKN9LJ8m2hkKSVy9FVXzrIO31TkT4ZTKZNHiMjAe2EuFTm8nPB40kLvU26TtWR/6ENpHikFvkffxcSu++JOUTOZG6WD2Zku+aQ61/bUNxHvhRIv6mlHRRKBUjE0hdHPSkfldecKxds4B62faLjGpIUTXaulShRh9RN+sjo0eukuaFx4j11xMkUb6JpJwuJsKH5UiRuAi5OU+e3P2nhDi5NZL0VXPJSx0VIrolgXD2CBCtDHPSXjWb3PHSJK8PBhDLF4akbPZ0ohPlSe5kxxO5KC7Zx1UiI0LTySyhTyiv+4yw9DF4Fw5ARuUhzBwkiWzJG3QUHkRaC0jaU00ioTCRrHZ9gjXVAiR4sw0pVppKJrucQqvQCTi43USVWy0al+/F4/vnkdDfgxl1B3DQYA8mzhAjatNmEusDksTwsTSRq5UmH/ecxJuxmeRU6zSS4Hce2pnPMPD8Ehz2HMCp8M0wmnwPijMe4HHQLSh2hqPINRgjgm8RsZ8D20Q/rG73h2lpBD5qroB4QSSMJy+G4JKNuCnD9NIqNxg378Wda9XIFl+OzTX7ULS/HGUra8GZWI1nFgeQ+KocL2u3wjMkD02xOxCZ6YpfH7agK8kJe0JqMWHWNtROXoeYghTMs16NnSfDEdu/Ei4HNuDH5hz4yOfj6coizNiXjHKpMKx1jYd70k60amVD56Y/qnTMobiIQEErELeUGxBrdhZr7h/C/SsZCI5bAX8fPbLN6jneV9ugPdUb+x77QH+GOS6ecICnTyCGndxhrmCMIQtvvH7ihshwFRz9VIYpa4rgvCAYvG21MP65H/2HfPD5WAK2gCDffifaXPNh/igW3TkE94IzkOR3EK3zCvH5xmJkDDWjoTMXvDALONZEofedN9zLudB6moNraoeR41oKSiEMagN10Gr0RNCKFNy32owt53zwIHoYaiub8U3QH2MqQFykA8JuApaSi6CjYo7mV8HAkB/qy/OxgVMOvXNpEF3qg5NuXriwPxNKQ6sg1ZeCX29eIq29BntE/ZD9KBuSX6PQo+KPWwsD8TrfF48PO6NdeTWMZWvwUngz5L8sxQulehi6PIBM6h52PaZWX4T08m3Mz23IUj6EW2cDcbMtFfkVa6FsmYHFmmdQ9OwRdnQeRYtCEH4ujseGOcVIup4Jme5lEN/rh9QYRyS1mOH4JDt89+NBZyQAx8SY133ZCZUbyXA6rQu96BhkbLsJfZX/8LPvE8KuH8LVuROJgfkyaCkbQkucA6noamy7lw+dlRsxMD0PD8aViNeEl2h5sgTOwzX4Xn0YCj2xuHPpMvP+EvQIZsAnJQh1Z7bjxvpjEH5yGv9m16DhYCg0psbAq3kF9BJSYKoYit6v4bgFJ8TptqIqtoTtAf2Stch4sQEmE3JRfiIVZ6NDMeRsC0rGB52fkuC2cTlMnrcjr2U3DqYk4r7wP5DjzSZjtV1Qy7uMXamzibS0HVHqFycu2fdQfFGLSK19St5uEaGi1vyH4z5OlOV2eSqZyqQCfjlS5z3qqYdlCvTT/O10d9UB2tnoA911V56Tf82Nc5wXzhEIf8AR8hfmStSYcC1nxHJVH9Ry+1Ze4IrefM2t2CjGe/lxLk+pJ5ynapLJc7lYztu8vIEXLd/JC5K+w+tV7+fxYp/ytLi3eSIJQvaOwxPsi2Um2L8u+8ujlwnZl0uO8STePef93dvkXO9zg3c/6RSvc+4uXmBdGc9BdhNP3jqUd3y5HY96NZunpD6R9/ilIO+h9j3u4w0t3Jd/dnLf/83jJu3z5Fqm6nML5gpz/VfKcE/s/cO5O3SHc5QRkl+Hz3BqEvdwRhbFc8St45mfoRzbbppTvj+C819zKKfAZhHHqIrm7Pojx8k6PZNzJFyek4VueuTgQ/qqwzg9684Ezk7VHjon6iwtxr1KWyeV01U+e+ljIyW0TFkhnepQT8e8zKF/xWyndXuzadkly+k37pvo19ZZtKKvFv1sKo+2fqtLT6nh0Qcm2tC31k+jf9Tq0vOzlOizR6fTRe3W9M8k0CtKXeibv+fTm0qkaFpyJt0wYQItE2RGO5cPUQk3pWiqtIcaXj1CGf4nQoevm0DfM35FbZDZTdVKvKX8vtdTasu2URsqtlNaq/ZQc87WU4s/5lKTPPdSbwy7qayh41SnYAGllGRDFbSWUHePJVG/vidRPX9WURtGK6jpPuWUmaIblRi+lpqjo0vZ7cyk9ALLqIj1a6gbk6uodT37KfsSYaozNpbyit1A1bbuoS5ymqneE81U1qFn1PPcWXS8uwJt42hJH0uSpNXm/kddODaVHlkQS9dGpdM/PVbQxYr76Yz0Nrpxyl765uZuerXZOZqzoo0u33SNFp3yla71FuQMvljAObxfnZN2VY/Tq2jN+XyVx1HrWMf52byd8+bvDo7vlX2cz67nOWU6NzjXd77hjL99xjlX85qjt3gSV3CTJDd4vgL3+kV1bgRPmRsxqMyVfKHFXV02i7uxbwb35rg0N22SHLf0lDT3fMkfjqfNNseA7Yc5kdwqjuHZzZyh/Us40f0pnMNxazlpa40533eKcGJjp3GaCiZwjjvdpjtq6+gI+0P0uZpC+kSRK21woZx2GgZ9wViGDlE0oMs0xijhpcOU36UblPL3qfTZPU1UpHUxtZx3hnKyaqM2KDRRt1ZWUxlpsZTejxHGs+9Qv57cp6bkPaDkcnQp0QMeFH0xghKWcqCGJn0mqY4LHdwPXSEH07Wp7fn/kTx9DeqToSS10P8ucbEeJy3fkonw4ARKOHQeVT/xJfk5etDBY88+YtyiT/Uc41EvbzlRa1YaUz1rr5Gi5fOovGBJKmXTEqKw+iaZ1dJIltuWkTX/RpKneifJ5LqdRFc6g5juaCF2894QtQpFkiZfRjZW5BAbbCeCYUnE+m0Kyfq5hyTgAGinR+TwtClUedIj8vy8HEn8Y0jSfgaSKx6upCw2gAwYc4mioCFZ18sY1vyt5GCLFkl/5kTI0mByKiyAVM/bRDpNVpJVc8bwaLMRGZA2ILIypmTP/VDikLaOmCdkkqTWbWTdzMcQfcwlDdLbyeL9nuQ15ycSpHjk5mAK0XISIQeWJJIqszMkPSefxBY4kfbORJJhW0yO7c4n7qqV2BajQmbIpZCItg6i4SdOFR3aSYzt7qKl9jg5v60LqY+mkVKPK+i/cAU6ampEVjWDLNvXgu5FjkT/rTRJXWhLonofYVLZOJJcDMiXbfNIdU4MeRRsR4ZmeJG35WYkTeg9LCcIEuNJEaSNnkJOu1cQpXBJEnJuF6mecAq3cyUo68WS1OwoV/JWvoSc2/uKjK6eQ1RN+kll0WMiL/mI5AocJIacTtK6sIEUN9WQX6OgVmVzqN4dapTKlgWU9soYh9cRTpTmgn0kyCWMXBJaQGWa6VB6edXUK7lsqvH2flKe8YoEW66j6H+Nqc0q4lTWlyOU8YliKuXtSmpFU4KD+Q2a+vTIlzJ+aUU9cTlC+t+LUjULHCiz7PtkbqYt9VtVibqI2dSpWG3HC3E/yJxnh8mTyIWU29UVZP3zHrKntIJMmLaazAouJDsqs4ljriG51nEOM8Yp4hLwh0iQmZR2cgKZf3kRiawZQVv6E9LbuYM8XXII7pXFJHmiEYkTeopEgzFwAmXJhbv9kEr0QLfAPZgo6hDRJjGiUtuAyk09kMm/iYsS88hNzg/s2TmJPP1jQTSKppCP5s3wdjwI3tBVTEs+Ah79LwL6LUivDiF+pcFY/OUErnwWJd1SkqTMdQ7p9JAifwubkTY/B+oiwsQobhuMBTLRlbgZH653woEjTB6seYjjrjOIPk+eHLh8HaYVk0j2xU7IiLShfO1DnO3agbzcFshm1WAscgsc0nKx/0AqTgaEIPl8HT5/qkCqgj1eDx3HuegpZM3O9xCrXc1wwVoSfTGGjCoPgrfqIeRf3EOrYiReqH5Bt+hzzBAtxsK6bIT1X0bQ5jZYn9yNhm/Z8Mh6hvy0w6hpHEHh8lgMbl6Hkca9+DI9BPVvz+Bp8RH8eukHJaM9GJmaBMuZu2HZEo++xrV4t9kJDhPuQqR5FwpOOOFW5kX8ObARc6Jyce3XZsjF2EC5ew8+d5yEku0R7OiORgwD/u9WL8GhZzPAy6rFBT0v6DQ0wcV5C8Pqnjh78Qa8g+cR5R4JErXkBEpzH0DiTzFRr9hFjkeUkYlvFMnbqDT07DQhQw/1cWDdc1J14yoMb5ZQfv+4wS/9FJUosAQflx+h0sILkB6+n1o5/T48qpTofINyEMl0WrcpBxPMcmneNQUy9HwjvVRVgJzXyac/Hk4j/Xp+tF5mMqkQjqPDZIdx9VIIfUDFjcxfTtFrwmox8pBHXzmehaE0Qzor4ByWff2XEnDZCovlP6nKZbuhPHyV+pVLEBTfS0XRhbC9PJNqsSyCqm0IZZmyF9NDxon3vxfgorGbPD/gC5PpMym3vLlEMO8emT8uSrSzdpCXj4bRoF2Lmq1m2HpKhVz4NwztU0fJu21+eCQymaK2x8BC8C6p+7sGKe2TSWTlXlDLJpMrW5NR51RC1H474oRDN/pT4yEy9T2GDbIxabU0kVC5ielPhYiCxWUIB7Qjp/YqjKMmkk7/Kuj8mk7M9d6iytoVj+0z8G3OBOJydjmYViDzUwpxI6uHXPiTCDvJ7+TDah56+uaTyWtbofTwDSEVnbisNpVy/52AV4YKlIiDP96GmVGCDUH4U+xLjTVkY+jDEIWMFrhmetGXP+3Dh3ur6OBJaQh+XkmvGatHw+wcOn/xadxdvJWO0N0P2rqYthgvguC0XFqizB4bTmrSvZNSIX/Fg24jMfh57QylQL/H1ct9lGfkIYgJH6JqYxJQseAY9TFpAllwqoQqr18KmW8eFHEWIok55WRZ8h28P32ETMkQINfyrpBqgxqsmrOXmA4mIr2nH3U2TyBVxiMH80PQ6zoOaRsnIvLalOiFRxItRUbXm72JyDl9otOzF5uEN5Atn9qw1iSafNELgOxHI+J04AiKN3zHhml+4Am0o/dsAfT2B0Oj0AP3pWaR/uvKSM7QI8+3FeJizj0sNAhDt70bQtTcYKgiSUZvqMPzhjKxq7HEItF6jG3jYJL2PXA3mWDu3iU4OtMRZ3/pI35/Ijy012G0IwZK7yaSP+NeCBj8gWXzALeKCiQnOWJwzTJUx4bi+6ttkFtOQUn3CMrNlqLeuh/JRn74s+UuNCUJJj4shu8qUxTu3Y+aVSsx8L4NPlP7EPfwHO7fOI8/V67gdrQaeVc7hKdGEUyuj8d/Kw+QJbs48HN6R6wkmKyQPYuie4pw+LEsJRF2CofSplNjJIYsnmNKrepIJJ8FPKhhg+NwOyhJ9Y5/hle5E+WyV5ByGwyk3h27Tzrq11Onay4SuzPe1Mwls4nYnXoidkWCKn0aTe1PkyAtPfOpEL9J5IhJF9lwzooUnCwkdfb/wCNEiNx9bU96BEuI0aAqef9QnnjNFCIO+m1oKcpCnf5ifLA+DJ9TTTDVeYLQ1wP4Fj4GvdY4KE6aQeTqQ5Bn+woSFfn4HDKXdMfVYp/KAzzddp8UOfhhXGc69Th6L1QUtlAJvl8g2lREJdQA19R3U1XC4djYcZDiPJUjlbvPUJEeFxF4uJh6YL8LozGB1Hm73TgqZkjl7NkNr38cKKlNM4jqO0tK7rM4OZs3h1rgK0I8LEUpxU0UUbkhRC197UI+lB0nMot/QNGmliiKL4edVjup3asHqypBKqIjlgQVCFKn4UW2edwgxWmTqbovhaQ9oYJE9HzEiHohfEXESEjnX3wcbEdr8UdMnCdExkLFidfTaST82Hwyb+wnls8PhXD7LGInugxTz6sTL3F7YrvrJfZUU+R+81/MvqlHrP0jcaJZiXRqdUBugiMZ8zuAxZVb0O8WA03qIMYMSvFgZjvqpE9DUfUZZKhCHJpQhvzJ+1AteQL9rtswK7QR6YOF6HkVhudLQjFLNBUf1jujyJyg/0wMUq7kYPLsbnRqnYaAw2LIRHtg5YdQrF4Xg7XTVsIp6CiWvXyC/5R3oiqDi+N1Tqh5N44JPpOJTkkUzqwQJ63aoyDB69D5mYOEDdcQdewWOsdvwCd6P6peb0Grwi1kH/NGudw5DLZn4s19EdJdO4sMeEwkBX9liKCjOjn8XIIc/TgMv5Bx2N3+iwK7aiQIt0Oh+jhWBH5AxsB1bK/ej8hD+8DjbsJotheczkWgsiANYjcPYrp6DpRFuOhrvguDZdchIvsDuns9MeXTcgzbJcOwJgKrf7pDIeYPlO5LkwLOHnQ/3I3JqzYya1CDEZGD+FizBt2NSahXy4OqdCs8uJdgvMUTFT2uZMxGlNybug8jGbvQNOU8IktfQivqIKT/eiDHqwJxF0FeFW0heXK5pPXPNPKuPYS4Gi4lRbYB5OLPWcRHlia/14cT/amV5HfyXXLr3W1i3alJurO/Ee34k5g9Zz+JcFhDEqrMiFGNBbF0jSVaE19DVFmQnJspSAxTp5GOaW+w4mQf1MLP4/mPLPLjNI/IL08nx5NskLn/NOgNBzAocwXrRAQJ/zW2vh8QF/UObn1ZaDHksf9ubHfAhcJ4PMj/AuScRlNmLl7PXYH6YWf4NDkg4JM7GsIjEFOyBm6ViZh10wfPJlrhxD4fVMa5oTHgKBQOVuB7y0Zk9mdD8T8vVM/wZOc/XvPt8S2TQmM8BfPHVsj4w4NOEiB6NgpD08NxNI/RSuM0FDo14U16O8SFCE4J3sVTzaV4utkHpsZr0fVnI9avzIZf2RKEUquw791ivFixAonjoTCf5gqz3Q54edUfFf96I3xVBHx37MKv0au4K34SRpUn8NO9EUGqw+j/8RgDy5UwdjAEU1cUonSgDrOodlgtKUXXyn7ccKoFdT8Cd0/ehe+j7XgQFQ+Nza+gPv8wUrr98CO6A/NX26LffhD9oQnofzKdjF/pR+fvCPxd7YXX/3gj5UYq5CQDccHLBkM3XaGQ5ALPGc7471YuptzbCJms3TieWoJ3A+64bpaD/Kw21O7qR4jRVZjfjke8oRPk7MvRCTv0yFjgRqEPshO8Md0vChF23tj3Nhg/x6KQWEmQWuqEtAJvbCjzxPV14UjJ9cImeSOYH1kB8XU2CJHlIGVHAlSVI9CR7o3mY6FwK3ND5QQfSKYFwFbdB2+udcDg2HFkVjThTlY3vqtlQknUBdxBO7y9boXr27NxUG492oY+IiDjCAS0IiH8YDWaVrcjf9E+cNbsgc6mJnATYuAUcxhNio3ws07G46ggNNVGYH7PcUgzXlve5oCfOxqwKT4bW4tToXx1JWbZeCA0icCgfDme6K1C7vV0LH2yDLxFIdDXZvx1xlrsnbEOvSpbsMhqBX5OLcCCnyvh/tgTAh4rINUYiuJp9jC/7o/h89GQtwlE4HsP6N1LQ0d5C77d6kLg8YeIqp9GhEr0yPQjQcQlOIXkC6YS40sy1Kz1ZpRSsD3Fm+VAWU0Oom5rBVKpju6URoYLtbwi08H9qRt1O1uJ+mCgRIVb15Er1zaTebUbiXmtBRE5KUH0pONJx4dyZFdPID65T3HbrRYyUyrR+X45lKtzEKF4FmEjNThbvAFRQ5thF5SHsNXnUZPRjcw0Q9LxypA0zN+J0PNOIIesyRWZV9D+9ywCl08hT15ZImJyNu74ZzL6XgYG3PFHeSOo9E3oU4mGW+8qtNwshVZiAT43lsPSLg4rXfLg9yUdU7xdcKWMqc++FfhCp+OrXRT6W51wdmk4LDWikafmiFKxPmTt6EbTtEMob78F60uxkPYrQeHCbKxOjoVtbCXK69tRM8q8RnwbkpyB7NyN+LnTHmHan9BZOIEM532FasVUEmK0hLTwlMjL0ifIezUIv4oElPmXYiR6GLILr6Ll2h6sVuxAj2I+pLzjMGVgMeIM1uDComw8OA5kOWajnKlR9RYLCMWHYHhbBi7lMH00MxzvQzdjg78v1K5EIskwAhfcViLPOBsZpuEI7eDA4QlTx9e88OZCPGbl+mCGgAtuycVC6dUaaKkVwCMhD9P49wAV3PHDbi3EzjH85bMYZiNJGHXKwZ9/wmGsFAwbi2VYtNQFKfv80Tpii7JDDNNNcYZGXTC0sgKQsNsPv2SZ3ld2huT1eJyngpFw1gkBwn6Q++qMAj9b3PonGDOOh8Bl30qcWBeCA7/KkXqgEZoZhfgTlYGRm2tB9ZZgwr7tKJHegYGvsZj8zxJsXLUFYm7ZMG9KRnXeYoxfToDJhBwkbEyFkEA4ojx80P3OAwvWuyKR44utF6dhy7x1uLnFFQez/BDfZohsBQcc26uOPwJzQZ/RQlWfB/pLl8H4SwxGe6PxSFAJcpOjIReuhhYNA9Q+jMPtKC+cF9GAvykPZmKy0OpagKq5RnD6qorjp9/aNS4vQKeYByjfUOg9TMK1jcpov5+BgBQnJJaYgTMaioYZTqBWzsEkNx6sGyZB9KUGhE9pwfS3CabJTcbzEgPcurEak3NqEHI6B1LxZYxWRKP82kLoN1qgsVofYS62WLPUEfv+eqJ+ayq2L8rBlcUReGhjghWP52Dz4RmoS58OGUc95M10x9Hn4bh3/DjEBrbg6bkYRD5xx9vYhUiiOUgyjsY9EorzM10gzvj77T5XxLyOxa8162B3IhPRBqkQjwhBvooCPIsmIeCJHtoLFLDG3h5+n5bgr68H6ruskfbbG22n/SCqoIsyYocHI16Yq8DoqmoAzBl/3LswGNdCypD6mMnbT4MwHVnQ+rIRPCFtJC3OQtciNYhlA3Iqyux7rC3Okn+nFBKhOZLEYHci2XdnHIvC/NGfshT9N+PxfhMXQZwZGL7kghVTgI5NsWh6YAxjc2f25+erenCIscVoMaO/j25AfEsmu276HbNhUW0Kn7j54Ih4IzF5PWKZ693YTTDAS0aJ2EJit+o+ch85oed3HgpblkNgryGSqlbiR6Mr4nRd8PQmD8d/WkDD34Zdx5uH3DHmWgqX645Y9coIf3MnYuiID4y7KNQkgn2NSAUPbksmY3vRAsiWS6FSWxl7L7oiKTMbNy974lYAF/NajRBnrYXV88zRfEAHpZ0DdheVHGC9cyEqHeMgJ5uBH484CDjqhhnMMaKSZSFc6Q9jzeUw0FeClqYIeFfU0DlHD+X3DCFz2xjbrpsiLFgB4a+F8DzLG58feLHX9vq1LfDZEGMrprLnG3bOgOBgCpQNl+GN5FLoua/F7MPhuBGiDq9DxuiYthgqTSvwNsge+u9s0H9UBTEHl2LjnflMLwkh8YYV9uWYw4wnh5NucpizS4utcSrKCi7/AAqrF0HG0gMa4sFwjgqBOW2PZXGL8U1iEX4zPchbz/feSCi+CISVG42sNeHwyfVA4E0x1E+bD7MpNF54WmNzjQl7Xs1VdvhIz2H3II9ahDe6C3CSM4sQK2mSEvEMvYZVULp7CZ3PNFGjEsb22iNJAfzunoWirxQGv1jCZJMu1NYuQFeDHZbM9oFMgDhGdwMte52gf9UKATd12evrEuJB9YcndqYwPL9wCcpHjNF9xwZPzeygdZsLRXFL1Cq7sr12eZs/s08ciEhEgPjuQMK5RETucYZnvD6+ftPB6hh5tLRowEkjADK8UPyqD0JV9EzYWtlg/ZArrpw3g0K+KmJO0vijTZAv5IiJvfowYepa67kKtua6oonRgLf97vhcXgc9ZW94Oe1gr63vn3QclY+ChkM4eoWWoW+uPgI+ekFr33x8yzPD5ZW+WNXvi1lbQ9k63bcqCHefOIKBL5gya3EmSorVo9ofauzrRGq3EcFMN/QuzCO/5jE6ENDA9g7mBAJTPqCrMgcV84PR9mwXDktpEX6N8vuqSNseIRNDcHd8MsZU1aFy2hX1XxQQdUQOiWdDIeexEINdQTi+MAJa8hooslzI1Mcq+LXqw1VOBeJGpkga0ECDuxtc6iIQFWkKXUZP+WvFX1vLqyHsum5t1UXahzDoCXvi05kFOO9ZgMgl9qzeum8NYs+/u4nD7g1/7fi6MNyWCIVlnriXLIFj173Zfb/KXJKgcQIsw8tQMdSKgI0aaD2zERYvRMg3K1+2zgruH0OhwAJW1/k+8cTHFgeTDXG6zB6rncJwLYJh/jdFrJ7meEUh6nssTC8YsFrL7y9+H3TM8wN++7GewV8jxcI09lq/VcyE+aFi7MjVwFcjAWIsrE2E9DPwcbgNKoEFxGzdUXyRBJwXCVBmKzYiL8IAW9V+Ew1JHVRpSTPZOoJKM8skx1JVsXRCHrVffBYJOKcDnu8bit+7rb1CuJH2gtpQkk34fjbycxo98p8y8dGbi94bVrR++gyIBFIQ++REJ+xXJnIeDtiRUkyf/zearEviwkFpFz2PXoaUq9uRsugC/WunJFHLTYVEYgvN95zZA3ZwM91NX2Hqy3l1IUQTz9B8/ashETif3ks7qpzB5FcWuKdwif63sB2pTG0FB52kR0gb4zPGMJrQQ/P3JKh/FXptJnHy1c9grKsAPhlzOHzNqBd1Q/65vfSEn8sQctkfP58/p/+YueFiiAtMl01wrLIwQercVjS+aqL5+2p18Sicc+3ouOQ6LIlNJqmOzrSiwFsI+9aRqd4L6Qdjt/Aod4CsL7tMmXY9hYWXIFUXdIpyfRdO0m9ZUaNt0ZTKiR1E87EjlWvyg1p8LYTESW8gQ/fuURW7xYhXixexPfmQOjoWTOJ06knB4Wayp59DvEOiiLzUXnJRby+5nspwXugxyuLhQbJJN4vMkVhMPk5oJL3qj5CrnoG+4Olk39MKWO6yJVi3hliLrMCpsUbiuKeEZOlsgLM1k28/tELEKQp9kp9J75LZhF9Lsp8OkZR78pTsJy4+Zs7Dkvk3Cb/O02fqYcF9N2JZGIAy2TnY23CGqDN7tD86HeMLtMiJ5ckQDktBmA+TL07EYtU3acySmEj2/sth/fOeehuOalKYsGwWmdQ+wvqAb6gI0bc8BMPYrayveq6TwAFmL9L2ukIibTV+nTBntaJBOAF6M5i985BnfYFf33lb/dm+Up5M2B4T2LQasZolqPqrD+uRROTtKsGHn6bYEGqHbIEsvN87EZXlLhg4aQMlVQnwTjmg7WAVshn95fcvnzEUtF1ZDykbY7RlthuGfqYQqdc3SYdVGaKPDxCVr/3k9UFLfL7yknjdC8LjuZ6sN3oo5bMa+PDTUhL2OJy03xdAXq4gqSySI+O2G1mdqTXQxrRPG/EyrxUrPtjAYvdmHBgoxUM9f6SJGcLrjTk6rALwlfErvl5FOISAMD195ZcVy1G29QtYP+Fd1SPWb6eg/rkto1lC1LQhb8avtbHK6i7he9r0DDnU3rFGd7s4qwdnVxqjfwmTTSs9UawnSQKWJLDMmtrmDQNJV2YtillNt3xgiaGx1Sz/8TW/sdAL5gu5mDsfcHmqiPwBC+x8ZoPPgpEwnraQPc/NKm18nTcd2n46KGa0cjTTlmWBpTfk8c9EI8h9T2L9lK/bniFe7Lp63I9HqI08bCZYIHiXA7xGZuGNIs1yS3e8FuOfITA0dSJqcTS7JzNWm5IrdeuxUtAe9x9mwHf9Ldavn44nIJfJtnzNLp2jRh59LIWCDYXnHHcMSUci7GQMctfLEj5/CyYl4W7SA7RsEsI+rTR8vnkER82V4DFgjXRKgvU2fl1FzBUmbp5+yKq3Q/n4Vbw85c6yiSrDJWjRQwgMWN/lM0X9H2CXqC5S09whGXEXewVVIF8fDYkzH7E7JBfd60TxSNOHhN1oRyDDtH5MrX9KSSHfnIxwtqULttHmhM9sZ7eZojRQgOxg8kFOXShubTjFMswdsw/QOTIXWXk26Cvehf6o6+w67eoMorqOq7HHeekYSiUacYkTLwijYa7kW6A0vs8KQtuPPsJfu6LVmlgRpUAm6XOQIy5H/KkAIpzggA3RumS9ZD+p/xKJ5N3C2PX3DJnjugbPvXXRUFFGNozEYkq9KqS/TqBe7whhGfPA9H8QZhPBMqGhzVYymhTB+lPFy2OkPWcdxhn/DlLpJ4neRhj8Ewav4KlUzL/2UPaIhabAFGoo2QMKTC4vFnpM3Ix8cCG8A9dE6kn98TDMmLIHCgvjSIlRCtYZE1hfvYuGV72kdtABW5lreCIbRZrfXSVlG2hcmSqP1LBNxGylPzGx14Rh0CLUXCghPRK9cM4OQ+RHXTT/FCXf1y2DQsBKnL+4gmj4XqCqqg8j+tomhAlGEb8vjdT9LycxorGF1fvIpZHUql1ppOmdDOa+bCQpUemk40MhcWFYYdVxQs7G/0sUcr1xa7U9JMgk7E7Tp/g9zc8tIvNsQalrE01uNhw2rWB9/9fubFJrHYC28lg4L9NFz+tOws8cU5j95nvKpKKThM0UTH/y+UHqbwLhs/LN9pXYz+ybQfcTRAu7Yf0ZdegLasJWxJR05qjB5ZgtuHaAQUUG6798budnh0E1D3Ii3R0vbphg6WNbNOiqkCYZCxgHKrJ9Xq2cx64lX1fu+CyB1sltxEfbCR+NrRAXpAPbuy/ZXhN+K4YfQ8ro8KPRcyuB5RTZi6Z47iRDCuptECKsC4/38uAzmxej1XztjQiaxuY/y0mLMRahDetT6iyDTW9YjraZ2mwWfd1jDfN0f7Z+bfPmY5TJGPw8zGcfZcKF2+0bqDfPxPpHK9B9wgqBT/exOdLYz5XVEynbNEitM2Xzpl/UBlyf+hCaOUvA74GwfApzbxUx2UeX9L3QBl9vb76ZjpcNY+DzCp8jrhwLhOqWUoz81mD13dDZE2UDsizXB9smo+qFHq7rEvZ9+xlm5We+Z7OZ2kozwOXLh/B5gQnEV1hi/ipF1A9/ZHN3ZOlyNkds35WJdCN9Nu+EzpeDopY1rnwKxTPvlWyG+qXjBS9G+476xeBjkh1uaS9l152fcfnMxtfj+EtSyLo2jfDzGe+7C2za/PDNTZzwWdJnvg2S3D3RxOhxmeFiVqemLoxlMmIWTFu82XmA04WVbC0IiZigi8lzgrQToxNrcXK9LRSZY54o1MV5fTM4rIlkcyifa7fHu0FS2ovNBHzPLP4rCS8mQ+QOabAafeg0je68YPb4/D7Kv8/Fn7uXsSitBtuZPoxleju+YxoJ2rUF9fYqcHLUxp+6KYR/fv55+dy9r0yYpB5YhCSm1vdZ+MGr8ipqZ2jCbM8gpLbIoiexAqFMZu7uPMyu1R7fPPKzwBI37y1C62JF7DNMIiH3TDDxkQQkxpRg8o8xeSNIMPRsMhT9FTBhCo9lBWiYsbn7h1gPMif4I8LCHI8Yn+8eeYKoIi7OMrmj6/5SRAlMI05zjOFgH4+vJ/UJn/svTZYg4ZnGxOuyKQ7E9mDN7mCSZRWMC6GhsB+bS/qGt6Am/ztclhdhUXUwuk7NQ3DpJczyDIQ444ELpS/jzw0v9vfF4QWIq9Rnsye/Nvlcwa8Zhx8PQdXZsfWveOUE22P53+MgdrkNJrMNUb/NASobHNH8VY+dU/D5XvWaNnZcTEHNrmimxiYggJeDBiSx3OLpmgq61w0+UX/trmSvxakJPtjNvI5f54EDobixbgWbDWbVWGGTrwmaX+mzn8Wb8dpYXRec6Lhrx8/Ea+9OJWd8DbFaZxbKEx7g0Ky5EP6uh1rplxhdbI0/lvPB18DXdyNwJ1oGLySaGF/3YzWOz+38vCnVbslm6hONq2DzLYjluhh+7i7jsF6kEx6D9itKmNmbwubBK3UmEJlgzTJhn7oNk7OG7dY1O+KV+2R2fuDsaw7VGRL48zIMb50/2PH7pKnDkM01/Fx7hucDORLH9km70EI2q5xgslT22e2oCY+E0EAOxO5cRPsrT/wzXwY/vm9BQUwIxBlOusisLb9PrSt9UOVvhrSSALavgybbQoATjOHNDmy/8vs75V0whGQotq/sF3lC/D8DfJ5khLq4MDYTUsfmgbueg7NnuOzMwuW8AgSLdcDXZb7Wy1+2YM/FZy9+7fF/589csuesYZli4n9+WCK6mmUwUzFZSAjpsbMEfl4pClDHwSOmUNuhwh5vRq4hOyco+pwPfnbi79fy9WfR45iF5kt6cPfth4d0EnuuntujGDpriM/6gay38TXlPFPLGWlJLCfz87/g5L/QibRAnLMbXDVuY7RZkc2LS05MJraBdmgt5uCzRjx0am3w6F8CUnUUEqeckT9ZHhs3K5NZM31xgOn5sKPhZLzfGUTst10iJUmellKQEXBB7o1RCMVnsnORKe5d4D/bsN8/APWdxez1mZZNQ7b3L0R5B8Cb0bdfTqak+Kk1rBK42KdtSYKkndlMT1p0yMDIdbTZWUJq1xRi3bIT/HPfM7oIPPNhuXrw7kM0ahsSvu/3aGfgaPtMwr8W4fv/IXJGJImL9cB648MYu7SN+Mtx2Hz/avUk6kLC/7ja4ts8Crf0EVVriQLhZRS/RtpPddtFfXWl+HqdIS0Cy936VFHuFJaN7ypnUV5bDNk5V3thM8WfdfximNWnbQs1p8iFnel+OONOxW0Wx+dRH7j/PE3xz0MC7agmyRhoNUrSVcNeCAwToP3VYyCQY03zNXjF9nGKr0fvO3Ro/ufveqRIzV6fCS1/XfpgYjD5vEOdkvmwjAw1RFL8PtiaKkTxe0VW4hjF74WP7Sco072LsCT/DjVm5IxzFtfZ4zX5NlD8uafZZDWKn4tjLUbYnl88z5fIMHVF+X8hFwxqSFV0PSVzu4gcCaihfO92kL5CJ6z/TxtnRtaQxa6NpLzAhHh9nEyyfZMJX/tbfEzJa8mlKOijyF7VteQOZyt5xrC3Y94u4tm1E5l9HCKSrUA2SPLAZw+PriiyNU6eKaZITHg8H6/jTJEyagFVYX0kmvxnl7hJCwX3/DH0IQAhOtvxffNGlJ++asf3Zq2ItXB4nw7Roo1s7rvGVURimSi0ut7b8XWS7118f+Cvw/1rNOvB/FlMy28x9H9Ux7Tqcpi7HUXY7yOQ25AI3v0cJoNEsD5oGpKCQHdAb9CN9SL+3yQGFNljTq+RZ/VY4CzDGn7A638V2NkW319XKjpipbASWf9wOpniP85qx8IofcJnJrnhapLY50sK1lgibIcSAqu/QPzHEITl9kJyTyK6pOPQ47sVXp3HIWgpThRtL7G9qW2uBTuhq+gx3AbRylv4FvPbzpmm4VKdhjb9EJY3+DN0fm1RE7dDyOMFFlhIk10WzYwuP7DbHXWMWFpeIfauW6Fp5I3K3ERYv+1HytxKVnMOOZiT9qtnid+pOsLnpl0qIM9MkvF+syIhOlKEr+Ox3QMYelUPsWZ3dmbXoWOMd9+mIezWZpgqJbKzS7WMeOLzeDH5tiYQqda5OOz3GwnTlBEkKgl+BnFreg41gVmkQ5xHKqd0wIXh8lhBNQzkz2Y1UvXibnx58x7bIp/htNAFnJMuwXJRT9TPKEPP1AwsN1mDPelbwXubCJnpWija746uNAfY+mmwM+W4ND32XkGWkwV+7gyDXncUNjN1YW+7iNXi9lMUBDbpo2+vKcu1QpQFGhh++sBwF39O5+Myj503eE+0YueHd9V08O4Swy/T7fBntQqbfZzE/FAxYsxq4aLlJogiS3BPJRjz9vuy+Zifmfnv5d/L4DPOdzNdtpY/25mx80S+Ll8rFcTral2Gbbn4x8UcTfpy2M/kdr4P8nM/f65SuXYueqLWYCAuGCEPXZD/fjYU+37bGV2awa47nxWEX1nA6JsFJvcHI7nQF/ycEnzaCdnTVZGnqou6/AhwH4bhw8JQ9h6O4rAZtnUO2F1lshJ/nsDXvAdMX1w86c4y8f/P5Z8zeYGv0T7L3DD9sC07y3BmsmRlgAOeDo7jJqeX6d1s8BrisOqbP/QLN7Ac7rI4E8eW8uBbrsfmXIEyH9bz+F7K5xj59mBEmfihKX3Ubk/YNHaOxM+ypXvUsXnAgp1ZLmkoIZvU9hP+zIU/EyYMwxXck0Z111yWOwq/UjjFePioVxjLQdd8KPYcgyYukJSwQuctZ9b7b7brsjXCZ3Z+luob1sGUO074FeLIeqWo9jSkrzBm94Sfp+Zs0ID8Li38d3g6PMZsYcfkevU+P3YW3s1kM379SFWZw/q+Jh5MNIDps3G75jQX9ny39i+HwJIIdvbM/yxyA3YYuaDK5uCutzQ73/7C7D9fk1L0bdn15WeHls86GC6Yw97XeZ1vztaTUpcgew+JP9M5VqYGzX3zWdbm72WeSDLC76oiptCYZUyvdhkkMfvOn7Hz946vNdLd9mxd8fPimhZtdp5/v8iOzRQjYpvZ+158btOI3oV90eksV/F9Q6l0C8vTTVf92HtD/Nfx5zP83oyJc0CCvRpENRazzHFNtpbwZxE+m5LZmfzp60ns3yVyixDI9Lrw0mQcUPNAl7AH1u6xQF9nJAbWWkDN3A9pnxfBwc4edxn9faJlxt7XUj7A8GCWFfru++JrvxbKjphBhOm1l/8Vg+9dlp0ZUH3ojo6qcNAi3ux3jQLH9dF9wxbu18PgsJHJT8tiUUg5gwnjUBF1x859c9DM1LWfxWycq3VGywURLDzvh7cHNFH8bDEeRxuhVIOw/rBW3B6JLWLIE7SFeswiiBUwffBvGF7fsGBnbbbau6HM1G9pxCO8rXRGwN9anJKeBE1PCyzn+EK2qJK97+g2UoUqcV9kX9vJ3jedpJbPZpbS8d3gzwm6258yGcoBpfGnMWOlDd5KN7Lzt+/bmdqn/yAhislyOSdg/Y3JxbMXYeizE8pT7fC8WxFi/TtgdikcG6dZoMkqFkJ/aRRJ2KHhZAIE26wRsN8FGmfD8VNLmqx7okF61sfj6TItbGBqrVLFEyEdjuA/0/rNxgk1znYonaGOni9JUHu8AcX7nZBwMR5d1Y34OBANwyMOCD7nBo5dFCwmrgRvTyiu/PDFYL09/naaIrstAAGN/tCrZfrjtiKUPs2HhaEPrk6Mwak5KThkkI7eqxsxMqqCX+3KqBgMRQvD2h60LdITAPEzNAym6mH4nQHj16a4MMccUnstmNxtCr255pDn8HBpnRku/ChA2+MUfFvgjadTExnmWozjrylUixL2maKgdR7g/aZQP20mMoxNEEKtxIM7sfg2mc9dXtA0ToJOQThimoGLkhHsM5y1zH6mMz3/ctwSzQz3KckHInLyMnyuD0FqoCWuMDU8+CMaeG6I3x5GODXfGfbiYZD7bY2rUTowvrYcqcvd0PXPMhh9tILqd2PUxgJjHzTQ9tEfucIr4PJfAGIOWUFMQQ8FO7WReMIQnGlq8L/EwRNZZ3RpumJ1OpA+bytu3ahA1qWlELNtwvWwjZCdaARZxcf46DSTjHy9RHp9Laig4fnU/slvCOfNYipPypKSdwiiLpgeonySmqi1S6opown1VKCPDA1LeXooWY7u2+xAp8o40KVnOLRi0VL6hWU0fbOrik5etp1+t/II7dZcQWdaNdBehzfSr9Or6PKXGfRBg0j6Yf5y2lJiDX3LIZN+HOxJj6ltoVeFu9BJo9a0sZgk/VlWlj5wchYtmHidMk+6SB0+XenQOL2Z6vBfSe30yKOi1iygRuOzKfHtU6mWrTzq2yI1qtDqDhl+0UUElLeTyFlSZDzWhEDIlJzbsYhY6moSQU178vaXHCnf9RCl8q3g5P+FSvoDHGu/DsX8g1DQaIblpnxAkoPQd4F4eMOcNOcUEp1aY7LzI8Mo45rkyKYdENdfiBt2XUjw6kbB51P4xtkPdU9HstNTgxilhMLY8ia2lN+Bm80xiDQmQ+vhMWw9Z4aeOa4oX5OF/qB1UHjQh1zXb2gVL8DbwS3oGk+GwItiaN5Kx1tHb7yX3ITt7dV45rgXVsPOmKRdj9cp7mjIDcfRtVtx7bgx2gJCMOthJHw+A1nJGhh1sYZsJ6Prph54W+rBfkfz30CCoGAdKDxmslKLI3LTXeFcaoCuIgKf3+54Z1gMqQpf2KZLYbTHCQ9rAnEtxw9Rre4QeukA/nPDlxnuTHdVQMgvgsuMLx1J0MRzhluOXudBq94FkVv8EfpQAdk3FVDXvwIJIy4wl9HCt9tcTJjKxfOT5rjyDih5aYMHer4Q2ncUn5KyEd1nBi3XGKzsVIXJOgpHv9pDY6kreAdM4XhaF3/ueuJrrTH2MeU2+sQag+ddIXbbHyWeK9Cyfi5SLmjCgacKrRxlfDaPZDWjSkEFWVK2SDqoixB7Jxw9oYbW+aaI3RGAzqeLYCwWzX73crDRBRmfDZhs+L+eSnsRg985yVhbYY2CZC9kScbBfCwSYi/94ZZgifItgNeAIyTu2WHgmBx4x4De7Q7wGmb8VUIPg9RCdn8kRmPxojkSBTck2O8DDDfYovq4HqR8TSB3QB+WQboY0rSFTlQIBuZy8XjIll1L8wUWWFdoiOZFpnAys4dMtj0yOxbi7CwNjKdqoSNTBidXLcStzfYIu7IMVfnuGOx1QFiJK26ZAo8+WeCD52zc03GG15pw5Cva4Zu3KYRszZEaZgf5t7rojlWAfrgl9udMJTGCp1ldalj9C//cuw7bF63o+mqC6jc0at1c4cpc86UvYJ9tLNXlQeowk2kq9DEczcN58xDocROQFqMD8b9WeFxnhQaOFVq3WuKb0EycVJwB8e8GOF9O2JoRPuWCstww1P3jDeNYdSTE+sPqA8OMVnaQ+mKF10024Oz1Qe5GL7Q1LkGpoTMKVvtDasgUDtes8bnABu/emqBPyBhmzHsERO2QcnAquXbQD3EewVil6I7lgzsQ7eWB0dwmTF8uh3UH/dl+G0xbjlh5LrYbZSBU3RJxF5bg2jNg39QOiB+OgNXzQgzPd0TTMkYqZMJQ+sQc4Abh7SULjIUF48J0P7xOBX7JcfEz1BwHAuahv8MKiofmwjjVDAeVLZDA8J9bvQbbZ8IGRrDeqYU8KW8oPtSAhmgUDH8rMzxig/RQA2hJO2LW9hK8NbHBnCMlrO4/6N0Ml2YNtEQy7FHmBD1rYyaDxKHtX2M4CPlAkGeOmVtzUKtUiXvBTI66UQy1WTm4lZ2C2Ld6SPvmij96SxFgb4Kkw4Z4o6kJnztz8b5AA+s4Jrh6xhZWZc4Y9nNE2kQzNJlFY9bLCnBMJ5DQ8dkk77c5EndYIeZ0P+56XUFZUzuengrHjFZZcvD9OIRvbMXfA9ehvuZ/z0E3z/8Hr413IVQ6Cm8lrWH53QwjCk8geLYagpu04XK7CTWvrmH9gQx0fCkDb+gohDwPYNbEbTDs2gTuRAX2Gg/H2KP8GIFIRSjWVSTiYH4wKisDYDXYjPVHfyPn50dw9G9j8Jc3ZPeOIfljE0SbPXEyyhbbBLfj2svjmHixD2KBCzDwyAW93e54mu2OkG9meBqqhMbnzsja5gXbLJr18jwvZ/S1qGG9Zio2HsxEwB839nnmxNEA6A7Ewr0/H5/3b4KXlz4MJIxwrTUGvitC2T3oTfdjv+N+v8ASGSPWcFyRiXWbKiD7OwUOeRzYPGvA6D4r4rx1FvHSaMK1dwyHpT7HuvxePKpph+PHD8gMOoP23iL0hq8nS0JiydvMAXJXpIU8vC1F9Zu/I1Z3MsjHlzuJsZ8xJXvZitIPLaNqIiupByInKYOe31SxogBdNF+Uxnlheq3adHp95Hx6Q60B7SS2gS75c5qWanlJy4n+oH8NfqSPPp3Lectx4pSrxnK0EqM5R7VWcfT68jg+s1s4WuqtHKlzJzg/+9o5f95JcyV2LuTWXgDX46QD955YODe/bgP397Nsbk9NIffSiQJuyd5qLuad5e6tucSVvdHL5dpf4ta/msLrOqrE+7xNmbf5mx7vd4wJ71YRlyd70olnfsiPJxcdwduzJoZ35dRq3kqZFN5oYyJPYHAFL1U5g+d7v5qnHnuItyCtgXfbtonn+089j766n9ea2cgjEw/xrryv542I7uN17j/AG+ir4DUIb+ed/7CRlzK9hKduUMO7d20Xz3xJDW/i1yJef0E+L5a3maeRupY3dCKVt2HfkNNRnhPvsJgmL2//TJ6B0TzepWVavE+7ZXiLp4vyROaNc0V7X3DJkR7usPFhrpzbIe4u82qufFgWV3ZRMHfsghu3ZvNCbuVpda6Ymw23pFSFG33nPadZ5zqnuPAyJ+vERY7l2QucA/H/18GZ/1Od73F8VINKWSqVSUkTadFJti6J9+vz+Z5DSDrUFCJTkYnSMkXEsSSVskTKYLJ2RpZIUZY2abtDtJDMjGsayVBuhcnouvMHvB6P1+v90+v5w/t1VshyPCdYmkcKYaLDwmVvQSj4fZmgMnuGsLvUWghqXCgUhmsLPR9mCS/e6AtpyV8IrRZD/NXR+7xf+R2/frCCl9x4wturOvhYVPJu7TZ+tSOHN7u95hKnCzy77UeunBTNZx/I4f7FybxYHs3bdY7yyxtieWFDOP/cv58XSD14izSeK24+yg9YZfBIoyS+ojWWX3IP457KCTyo+TSXGCbw6BPb+cvA/Tx7ryu37jPnL32/4hL/VfyUL+OPPGy5qmIE3/GO8wDdMN66MpFfuenPm/U5j7WZyFXSnXlhMrinnsDzenS5mVMvO5OqwENq37GnW5vZqu/a2MX+N2zWwU9s6+IK5iqSs1+vx7C9scns0NNglvl+J3vZks5Y3l72atCVRQ1JmN42EVuaasvcshk7o7GGRd8tYXaieyyzZQ1zKJGxtksiNvxNKpubs4VV/xHNppl0Yu3KBAy+1WaFaUHMX8uLSftDWPrK7ax+T6ftxo/H2WMTKYtJdGLvfcWsdrMmW3xMl22zXsJaQ+YxZjOeTXZfwYKyQphrvCMLlHXDY/oSFmZqwLz0z6P8G2Ld9guYWt85KD9PZ8ucNdk4rTns1O6bEIq6MN1Tg738EuzeSWfW+LoBbQEfYCwqh+fU1ayrdynr0dRnHkV6zMSzFB3u89nQaVNWsy4Hb4d+gePSYpxVSEPugWp0b21Bx5/DsPR6iPTnPni/7QqS2nOwsfwCdOIuYqREjqcNnSi4nYxXqdOZe94Qrq+bxmJqlNg5tyOICX2GqTPTcWNsLfJXtaNmmRl6WyNglVyLHboHoK9wAs1ZT3Bcfg22LY+w0f4C/GoiseZzOa7L46DvE4ey2ETI7mVhpqYM43KasP7QbzgT9RBqRQXosSjFoXN2GMp4BCv2HzQ8mINc21IyjmaI/fA9dl86jcAlobh5eyw82jLR79aEf1fUQ5qihnqXZLzZLYdW3wv438yBvdFP8CiqRHZdLRy/DcTXaZn4UwjHvpcp2DzLGcY6Iuxqs0TSbmNUnAzHOc1QXO1KhG5dPrycyjAjaAsexcagc84xaCnsgmanMm65zkDTUzeIL61Hp7sTNtlexvWDWSi4+wzFffXwn751NEMFWkaCsd2sHEGqbvjWtxiH56bScv1n8LVSxeeYlVhUk4a1KnF4PWYefh5rgo9jIhDECxCcUwcti2foCshA8WQrFCqeRZKLFAPDKohbGoLP5uEodgrEtS82oVWUjL4nlXAPSvznLh8XnYcdC0XcDhuwASMsvtRGxt4irN0ZiO2LTHDtkBKqxlyl8e53yCe7EtP8n8Mn1BC6xj/Q3KjHFFCcgsGlBWhLjsCy7os04fMm2jTaQ2OqwunYgzAa2eNLwYNm5INRfh5lE/VBR3pe6EIG+xntSlhJMrKimDITku0wpuNHGQVFmdLXay2prGSUFTMtaVuCH8V8SKHy2TISLZTR1cPRZHR5K3WdCCCRwX66kLWF3MpMaSDWgQzficmlbrRHnLanQEsn0ilaRR17nMnuv1Yk7FpHdwddKGC9F+mdX0f+1yTU72dHEidn0jVeTupfWNFItTVtrAN93OxIbl8KpHyH6Lt2B+rPtiKfH5fTzJhrdMOukj5UiejBFFOa1cjJyNycnlYvpXmT9ehhtNk/e1v//zUxU5IQe+hAPbYCqeTY0YJjUjLtkpLjRivKtiCKkbuS4zY7Ug3ZQOw9aEDLgVRnxtJZ079p/t4wvPCT48mdveyTZgZjO835i2YZ/zlvgJdFWwiPZRlCZ3yN0HtPUWzUKIhz9KLE0qcXxMOfbootU3vEOgZjJbetR8TKmz6J7fYNitsPKkl07o+VZJq+Ep+UZNv/lpkjjindKdZMshF7980X16iriRNODgo23nIhQTFEsL5lL+ipGgi9ZhOEhL5G7qx1m7dH5vPCBYf532areU2EwHsU/Lj10Yl8Dlfjyp6/s2b1bmbTeZvpZjxm88/cZea1+Uw2Rs4mXwhgktZQ5uoQz3QM/Fhb8Bl265U+63q1iE2QrmDp+drsbak2C/lqDtPuVGFxgb+Pcu4sNsFLi/n+Momp7FNh2bvUWVRzEYpXpmHM7L9goNsLjY138Fd8GjQCU1DBLRCpmIxek3sYHB+C2TIZni/LwqK0bShslGFYHg+JQizetZigK94XKjrL4eY2RNVXlmBKmSMM91mi6Y/tEO574tSmKJyunILkFS4IzN2DyDFHENh0k9TsFXHryzfUUh8PJetj6P5DCt24eIQkbcD09Rwzq/8Fbzsl9CcHQe+tKYYbX1PPJ0KO0Sp017ST12+RQEYEVOdpYZ6HGjSmRqDqkQlUe9SxQ/EI2jeUIOm5KTT/OoVK70lwjJqE0ImHsGXfOdITHUbeCSkKpo3HTKsJCBtJobOGHTScNupxkjaKtftpEJpQsZyFyoqH5KP+gCztDbHa5y4trPAD7q6A2xMlTHDZC9fqk2RoVEvlTTdoXEsuSduPkcaMPDq/WU5pASmUmHGEmEM0BdUVUeVALn1akE6KhkdosOJ7GqjKp0KFBvr4VSl1mViQxoaTpFV8kM6M+nGRJVDhli6qCv2JiuKyKGHxryQPLqbNHREUep+Th3092Uwc1QeUUS4dpQavRIq3y6d1y6to4chEaB3xgkRvNSY1naI1S/LodF0I3W5Ipbm6lyj97A8U5P09RV0VU1xrFlUb36FdfIhyvYZoysMSmlofTP8DOs8WZw==</binary>
            </binaryDataArray>
            <binaryDataArray arrayLength="5112" encodedLength="284">
              <cvParam cvRef="MS" accession="MS:1000522" name="64-bit integer" value=""/>
              <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/>
              <cvParam cvRef="MS" accession="MS:1000786" name="non-standard data array" value="function" unitCvRef="UO" unitAccession="UO:0000186" unitName="dimensionless unit"/>
              <binary>eJzt1LmOAjEQRVG2ZkdiEYL//1ICQiQCN43L5TPJ0bsVjGcdZu+PgWRzXoK8g/yHft85xg1JkuzOW5B3kOSv9f9tnFN///x8OKXzpLu2p6Sfv/bXRTK/C9u2bdu2bdu2PzZJkpHdkWzWe5B3kGR0VyRJkkld2qn2Vtd1vfN+DvYeXdd1Xdd1XS/pe3d3d3d3d3f3xu+6ruu6ruvZut32JkmSJFnPg213sEmS43wEeQdJkozj2rYLNkmyL69B3kHS3zdJ9uqRZLHPIO8gSX73BQkyg+w=</binary>
            </binaryDataArray>
          </binaryDataArrayList>
        </chromatogram>
        <chromatogram index="1" id="SRM SIC Q1=418.726 Q3=666.343 function=1 offset=0" defaultArrayLength="373">
          <cvParam cvRef="MS" accession="MS:1001473" name="selected reaction monitoring chromatogram" value=""/>

    </run>
  </mzML>
  <indexList count="2">
    <index name="spectrum">
      <offset idRef="function=17 process=0 scan=1">31423</offset>
      <offset idRef="function=17 process=0 scan=2">40851</offset>
      <offset idRef="function=19 process=0 scan=1">47457</offset>
      <offset idRef="function=19 process=0 scan=2">63177</offset>
      <offset idRef="function=19 process=0 scan=3">69427</offset>
      <offset idRef="function=19 process=0 scan=4">75415</offset>
      <offset idRef="function=13 process=0 scan=1">81088</offset>
      <offset idRef="function=13 process=0 scan=2">86606</offset>
      <offset idRef="function=13 process=0 scan=3">91768</offset>
      <offset idRef="function=21 process=0 scan=1">97805</offset>
      <offset idRef="function=16 process=0 scan=1">103209</offset>
      <offset idRef="function=23 process=0 scan=1">108700</offset>
      <offset idRef="function=18 process=0 scan=1">114151</offset>
      <offset idRef="function=18 process=0 scan=2">122784</offset>
      <offset idRef="function=24 process=0 scan=1">128305</offset>
    </index>
    <index name="chromatogram">
      <offset idRef="TIC">138418</offset>
      <offset idRef="SRM SIC Q1=418.726 Q3=666.343 function=1 offset=0">185298</offset>
      <offset idRef="SRM SIC Q1=418.726 Q3=723.362 function=1 offset=1">189880</offset>
      <offset idRef="SRM SIC Q1=461.745 Q3=476.261 function=2 offset=0">194530</offset>
      <offset idRef="SRM SIC Q1=461.745 Q3=722.401 function=2 offset=1">199176</offset>
      <offset idRef="SRM SIC Q1=527.288 Q3=581.261 function=3 offset=0">203842</offset>
      <offset idRef="SRM SIC Q1=527.288 Q3=841.416 function=3 offset=1">208227</offset>
      <offset idRef="SRM SIC Q1=582.318 Q3=595.305 function=4 offset=0">212584</offset>
      <offset idRef="SRM SIC Q1=582.318 Q3=951.471 function=4 offset=1">217900</offset>
      <offset idRef="SRM SIC Q1=602.795 Q3=792.346 function=5 offset=0">223358</offset>
      <offset idRef="SRM SIC Q1=602.795 Q3=921.387 function=5 offset=1">227428</offset>
      <offset idRef="SRM SIC Q1=618.336 Q3=478.26 function=6 offset=0">231487</offset>
      <offset idRef="SRM SIC Q1=618.336 Q3=759.433 function=6 offset=1">237365</offset>
      <offset idRef="SRM SIC Q1=629.836 Q3=832.437 function=7 offset=0">243239</offset>
      <offset idRef="SRM SIC Q1=629.836 Q3=1017.52 function=7 offset=1">249139</offset>
      <offset idRef="SRM SIC Q1=643.86 Q3=745.458 function=8 offset=0">255127</offset>
      <offset idRef="SRM SIC Q1=643.86 Q3=1073.57 function=8 offset=1">259617</offset>
      <offset idRef="SRM SIC Q1=644.862 Q3=834.448 function=9 offset=0">264053</offset>
      <offset idRef="SRM SIC Q1=644.862 Q3=947.527 function=9 offset=1">267832</offset>
      <offset idRef="SRM SIC Q1=721.853 Q3=856.372 function=10 offset=0">271593</offset>
      <offset idRef="SRM SIC Q1=721.853 Q3=1067.48 function=10 offset=1">277202</offset>
      <offset idRef="SRM SIC Q1=724.407 Q3=778.393 function=11 offset=0">282803</offset>
      <offset idRef="SRM SIC Q1=724.407 Q3=1079.56 function=11 offset=1">288055</offset>
      <offset idRef="SRM SIC Q1=759.426 Q3=761.435 function=12 offset=0">293231</offset>
      <offset idRef="SRM SIC Q1=759.426 Q3=832.471 function=12 offset=1">297102</offset>
    </index>
  </indexList>
  <indexListOffset>301058</indexListOffset>
  <fileChecksum>4458a8c91171a5d1f242564986152d5e914567f9</fileChecksum>
</indexedmzML>