<?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="SXYZQZLHAIHKKY-GSTUPEFVSA-N" version="0.1">
  <cvList count="2">
    <cv id="MS" fullName="Proteomics Standards Initiative Mass Spectrometry Ontology" version="2.26.0" URI="http://psidev.cvs.sourceforge.net/*checkout*/psidev/psi/psi-ms/mzML/controlledVocabulary/psi-ms.obo"/>
    <cv id="UO" fullName="Unit Ontology" version="14:07:2009" URI="http://obo.cvs.sourceforge.net/*checkout*/obo/obo/ontology/phenotype/unit.obo"/>
  </cvList>
  <fileDescription>
    <fileContent>
      <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/>
    </fileContent>
    <sourceFileList count="1">
      <sourceFile id="_msms-451366-mz-values.txt-20190109-20465-1dbqhhf" name="msms-451366-mz-values.txt-20190109-20465-1dbqhhf" location="http://contaminantdb.cahttp://moldb.wishartlab.com/system/documents/files/001/938/078/original/msms-451366-mz-values.txt-20190109-20465-1dbqhhf?1547066189">
        <cvParam cvRef="MS" accession="MS:1001369" name="text file" value=""/>
      </sourceFile>
    </sourceFileList>
    <contact>
      <cvParam cvRef="MS" accession="MS:1000586" name="contact name" value="David Wishart"/>
      <cvParam cvRef="MS" accession="MS:1000590" name="contact organization" value="University of Alberta"/>
      <cvParam cvRef="MS" accession="MS:1000587" name="contact address" value="University of Alberta, Edmonton, Alberta, Canada, T6G 2E8"/>
      <cvParam cvRef="MS" accession="MS:1000588" name="contact URL" value="http://wishartlab.com"/>
      <cvParam cvRef="MS" accession="MS:1000589" name="contact email" value="david.wishart@ualberta.ca"/>
    </contact>
  </fileDescription>
  <softwareList count="1">
    <software id="SpecDB" version="0.1">
      <cvParam cvRef="MS" accession="MS:1000799" name="custom unreleased software tool" value="SpecDB Spectra management database"/>
    </software>
  </softwareList>
  <instrumentConfigurationList count="1">
    <instrumentConfiguration id="instrument">
      <cvParam cvRef="MS" accession="MS:1000031" name="instrument model" value=""/>
    </instrumentConfiguration>
  </instrumentConfigurationList>
  <dataProcessingList count="1">
    <dataProcessing id="SpecDB_processing">
      <processingMethod order="1" softwareRef="SpecDB">
        <cvParam cvRef="MS" accession="MS:1000544" name="Conversion to mzML" value=""/>
      </processingMethod>
    </dataProcessing>
  </dataProcessingList>
  <run id="run_1" defaultInstrumentConfigurationRef="instrument" defaultSourceFileRef="_msms-451366-mz-values.txt-20190109-20465-1dbqhhf">
    <spectrumList count="1" defaultDataProcessingRef="SpecDB_processing">
      <spectrum id="file=_msms-451366-mz-values.txt-20190109-20465-1dbqhhf" index="0" defaultArrayLength="1012">
        <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="10976" 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>5E7pYP2XRkCBP/z897RGQNhIEoQrzEZA+BqC4zKCR0DtLeV8sYVHQBu9GqA0
lEdAFVeVfVeoR0BxPJ8B9c5HQEXylUBK7kdAq5UJv9Q3SEC9VdehmkRIQDSA
t0CCaEhAEjP7PEZvSEAN+tLbn4tIQK+YEd4eukhAETl9PV/lSEBSfHxCdvZI
QIkI/yJoVklAryKjA5JeSUBqErwhjWxJQGJM+nspuElAuOnPfqTMSUBYx/FD
pSFKQIbnpWJjMEpAQ+bKoNpuSkA3UyEeiX9KQCv52F2giEpAJc/1fTi4SkBG
JXUCmiJLQCL/zCA+LktARIZVvJGjS0AW9rTDX9dLQPsjDAOW9ktAN+Dzwwgf
TED6Dn7iAExMQHnr/NtlVUxAj+TyH9JnTECztikeF5NMQFT+tbxyzUxA6lp7
n6ocTUCzQLtDik1NQGOa6V4nGU5A6KViY149TkCvB5Pi47tOQOuoaoKov05A
UBn/PuPiTkDjM9k/T+VOQDPFHAQdJ09AIv/MID48T0BAho4dVEhPQKiPwB9+
XE9AuOaO/pdnT0BYx/FDpZFPQLE08KMapk9Axr5k48HST0CL/PohNuJPQESk
pl1M509Ativ0wTL4T0AIHt/eNRFQQPnAjv8CFlBACWzOwTMaUEB9WkV/aCNQ
QBqKO97kflBAOGVuvhGEUEDmIVM+BLZQQLDIrx9i71BAprbUQV7zUEATnPpA
8hdRQIFdTZ6ySVFAQdR9AFJpUUCim/2BcnVRQIaTNH9MdlFAKSZvgJmLUUCF
eCRenqdRQAHfbd44r1FA/tXjvtW5UUDvrrMh/8RRQPnYXaCk51FAHw4Sonzw
UUC7RsuBHgFSQOpdvB+3GFJAQMIwYMlXUkAtXFZhM2ZSQIOHad/ce1JA+MYQ
ABygUkD7Bbth28ZSQOIDO/4LzFJAO8JpwYvWUkD35GGh1t9SQFRVaCCW6FJA
eV2/YDf6UkBgkV8/xAlTQAYSFD/GElNAflGC/kIlU0Cop4/AH0tTQAlvD0JA
W1NA+fauQV9cU0BPQBNhw4lTQG3KFd7lr1NA6C0e3nO8U0Ag1bDfE8ZTQFMl
yt5Sx1NA53KDoQ79U0Bhpu1fWQRUQBGo/kEkHlRA+fauQV8mVECU2/Y96jhU
QOp1i8BYZVRA3iHFAImAVEB/aVGf5KNUQJcaoZ+prlRAwRn8/WK9VECZYg6C
jsZUQOgtHt5zz1RACB7f3jUkVUDOcAM+Pz5VQGq+Sj52UlVAqI/AH35/VUAc
6ndha4lVQFd8Q+GzL1ZA8YEd/wU0VkDhDP5+MT9WQI3V5v9VS1ZAuAchIF9X
VkCkbmdfeYFWQNkJL8GpilZAIt46/3aUVkAnFCLgEJlWQOp4zEBlplZAzcr2
IW+xVkDeIcUAicNWQAxaSMDo0FZAp5IBoIrtVkAvMgG/RvNWQLg6AOKuHldA
f05BfjYwV0C8B+i+nENXQG4VxEDXRFdAmDWxwFdkV0B6Nqs+V21XQGbc1EDz
d1dAhIQoX9B4V0Bl3xXB/31XQK7UsyCUjFdAG5/J/nmxV0C0AdiACMNXQCY1
tAHYxVdAx0YgXtfaV0CtwmaAC+ZXQGGm7V9ZAlhAR+aRPxggWEB/pfPhWSVY
QMiakUHuQlhA8parH5tOWECkUBa+vmZYQHst6L0xpVhApmJjXkesWEArTUpB
t8xYQDVfJR+7zVhAnBpoPufQWECxwi0fSeFYQCC3Xz5ZAVlAGLFPAMUiWUAl
58Qe2jxZQDqVDABVQVlAxTpVvmdEWUBkyoeganVZQOgtHt5zoVlA1/fhICGr
WUDkEkceiLtZQBeBsb6Bw1lATS7GwDr6WUAG9wMeGDxaQKrU7IFWRFpA6jwq
/u9MWkDhRV9BmlNaQOAtkKD4W1pABhIUP8ZiWkAWinQ/p2VaQAgGED6UhFpA
uDoA4q6gWkCIn/8evKFaQAg57//jpFpAIAiQoWOnWkDPoKF/gsVaQHUhVn+E
+FpAaNDQP8EFW0BaRuo9lQtbQO5dg770KVtAmUo/4ewxW0AJGF3eHERbQN8V
wf9WRltALEfIQJ6JW0CeX5Sgv5xbQIJ1HD9UtFtACDwwgPDAW0DrkJvhBsRb
QNWvdD48xVtAARWOIJXHW0BSK0zfa91bQDhlbr4RBFxAz77yID1XXEA3cXK/
Q2RcQHEDPj+MbFxAoIzxYfaIXEBzEkpfCLdcQPq3y37dwFxAf2lRn+TBXEAL
J2n+mMNcQBB4YADhxFxAd0gxQKIDXUCUMqmhDQVdQG3lJf+TNV1AXW3F/rJB
XUCMutbep0JdQLTpCOBmRF1A7ZxmgXZ1XUBvD0JAvoJdQOIGfH4YhV1A6X5O
QX7FXUD52F2gpNNdQFAZ/z7j7F1AINJvXwfxXUCOyeL+I/RdQJwyN9+IBV5A
5Gn5gasYXkBaSSu+oSdeQD6V056SP15Ai/m5oSlEXkADBkmfVkZeQPSKpx5p
V15AU0Da/wBvXkClaOVeYHteQPwXCAJkhF5AZqAy/n2GXkCX/5B++4teQAlv
D0JAl15AU3b6QV2vXkBcdoh/2LZeQAMn28AduF5ANIP4wI7DXkA5Yi0+BcVe
QL0BZr6Dx15AAANBgAzLXkBj00ohkNBeQH1dhv90/V5AlialoNsXX0DMuKmB
5itfQH9LAP4pMV9ASN3OvvJGX0B5IR0ewoNfQCEFTyFXi19AWYXNABecX0CX
AtL+B7VfQNobfGEy1V9AdxIR/kX0X0C0AdiACAJgQNffEoD/AmBAuwopPykF
YEAUe2gfKw1gQKRuZ195IWBAjc9k/zwiYECS5/o+nD5gQLb4FABjQmBAzJpY
4KtKYECIug9AamBgQGa+g5+4YWBAufscH61iYECw5gDBnHJgQBOB6h/EgWBA
cxJKX4iHYEDnOSLfpZ5gQAEVjiAVomBAeVp+4CqjYEC8IvjfSrpgQE4NNJ9z
v2BA8656wLzBYEC/RpIgXMNgQIzbaADvx2BAnE1HADfMYEBfsvFgC9RgQBKH
bCBd22BA/gsEAbLcYEA1XyUfu91gQNS7eD9u4WBAqaENwIbiYECx3T1Ad+Rg
QE4oRMAh52BA0LhwIKT+YEBHAaJgRgBhQCwpd59jAWFAr7Mh/8wCYUDqeMxA
ZQNhQBrAWyDBCmFAH/MBgc4hYUB9XYb/9CJhQJ8+An/4JGFA0cq9wKwrYUB3
TrNAuyxhQH14liAjMWFA09nJ4KhBYUDgEoB/yk1hQLou/OD8VGFADmYTYNhg
YUDiIYyfxmFhQJQXmYDfYmFAlQ7W/zl5YUCJt86/XYBhQHEhj+DGlmFAPKQY
INGYYUDJkc7ASKFhQDeJQWBlomFAcAZ/v5ilYUC5GW7AZ8JhQDaPw2D+yWFA
9bpFYCzOYUAVqwZhbtJhQFde8j951WFA9s/TgMHXYUA3cXK/w+JhQME3TZ+d
5WFAnDI33wj+YUDRyr3ALABiQDqSy3/IAmJAaMpOP6gaYkCBk23gDiJiQJDb
L58sI2JA8Z9uoMA/YkBWYTPAhUFiQIfD0sAPQmJAppiDoCNDYkAe4bTgxU9i
QPCK4H+rYGJAUkMbgI1iYkDlKha/qWNiQL4xBADHZ2JAqaENwIZ+YkBinSrf
s4JiQHRC6KDLg2JAYqOs38yNYkDvkGKAxJJiQGGpLuBllGJAXqCkwAKcYkAw
StBf6KBiQApLPKDsoWJA+MPPfw+jYkCCdRw/VKRiQFQ6WP9np2JAhpM0f8yr
YkBio6zfTLViQMVYpl8iw2JArtSzIBTMYkBs66f/LNdiQF2LFqBt4mJAomKc
v4njYkChTQ6f9PliQPWc9L7xAWNAKy/5n/wNY0A1fXbAdRVjQEsi+yDLImNA
d0tywC4nY0ANVMa/TyljQPm6DP/pPWNAO6dZoN1BY0CmgLT/gUJjQFd2weCa
Q2NAcyoZACpSY0DAQBAgw2BjQDBinwAKYmNADD84n7piY0AZxt0g2mZjQO6W
5IDdgmNAIv/MID6PY0AVkPY/wKBjQNCdYP/1oWNAF58CYDyjY0ByFYvfFK9j
QBN+qZ83wmNAEHhgAGHDY0BYWHA/YMxjQJD5gEDnz2NA8parHxvRY0D0wwjh
UdZjQBaKdD+n2mNAFJM3wMzhY0B6UbtfheJjQHEeTmC642NAjc9k/7wBZECc
UIiAwwJkQKFNDp/0A2RAste7P14UZEDc9Gc/0hVkQGzrp/+sH2RASwSqf5Ag
ZEC7JTlg1yFkQGnHDb8bI2RAol9bP/0tZECjdyrgnjpkQEkT7wDPPGRAcy1a
gDZDZEB3SDFAIklkQDViZp/HWWRAJeoFn+ZeZEBu+rMfKWJkQJYIVP+gY2RA
IuF7f4NyZEAMVwdAXIFkQPGEXn8Sg2RAh8PSwA+LZEAk7UYfc4xkQIquCz+4
k2RAGLFPAEWiZED5wI7/AqNkQAw/OJ+6wmRAKji8ICLJZEBq2VpfJOFkQH6K
48Ar4mRABBvXv+viZED/6nHfauNkQGfWUkBa5GRAaeId4MnpZECw5gDBnOpk
QM6mI4Cb+mRApIy4ALQBZUCZLO4/sgJlQM2U1t8SB2VAcyoZACoQZUDcErng
DBRlQKJ9rOC3H2VAhbGFIAciZUBKB+v/HCNlQOIhjJ/GI2VApYP1fw4tZUDS
xDvAkzplQDmAft8/QmVAEmxc/y5DZUC3DaMgeENlQNPZyeCoQ2VARtEDH4NF
ZUBblNkgk19lQIGTbeCOYmVAKjv9oK5jZUB+b9OffWtlQPbP04BBeWVAforj
wKuCZUBKB+v/HIRlQC5Tk+ANjGVAvi7DfzqOZUArNXugFZRlQAADQYAMomVA
thDkoASjZUB/h6JAH6RlQIOieQALrGVAdCfYfx3LZUBUVWggFuFlQAQhWcCE
4mVAh8CRQIPjZUDQmh9/6QFmQAYwZeCAAmZAbOhmfyADZkBffxKfuxxmQNHN
/kA5IWZA3gAz30EiZkCM22gA7yJmQFVP5h99QmZAh8PSwA9GZkBKCiyAKU9m
QIrMXODyYWZA0a+tn/5iZkDCTNu/MmNmQMA9z582bGZAzH9Iv/1wZkCDonkA
i31mQAdCsoAJhGZA4h5LH7qOZkCYLy/AvpVmQJ1KBoAqn2ZAO4kI/yKhZkDw
h5//HqJmQO1+FeA7o2ZAflcE/9uxZkDMmljgq7lmQNzxJr9FumZA7pOjAFHB
ZkCCjevfdcJmQI7qdCBrw2ZAM25qoHnWZkA2d/S/3N9mQPKZ7J8n4WZAomKc
v4niZkCaQXxgx+NmQNKpK59l72ZA0J1g//X4ZkD0wMdgxQFnQO1+FeC7AmdA
yXa+nxoEZ0BC6Qsh5xlnQOZd9YD5IWdALlOT4A0jZ0CR7Xw/NUNnQOEkzR9T
YmdAFoczv5pjZ0DiOVtAaG9nQDFfXoB9gmdATz3S4LaWZ0DEQxg/jZhnQGbB
xB9FomdABB4YQPiiZ0DY0w5/zaNnQBKHbCBdwmdAwVJdwEvEZ0Bo0NA/QeBn
QMBAECDD4mdA7GmHv6bnZ0CKrgs/OPtnQDeJQWDl/2dAtvXTf9YCaEAuVtRg
mgNoQJcd4h82IWhABRiWP98haEB6UbtfhSNoQC0mNh/XJGhAgnUcP1Q4aECw
yK8fYj1oQOlILv8hQGhAnUfF/51CaEB8YwgAjkNoQIi9UMD2YGhAavrsgGti
aEBinSrfs2NoQMNkqmDUdWhA1sQCX9GCaECvsyH/zINoQCcUIuAQoWhA0a+t
n/6iaECYFB+fEKRoQFqCjIAKw2hAPKHXn8TJaEDvdVJfltdoQGK+vAB74mhA
KSZvgJnjaEBr8SkAxu5oQEj+YOA5AWlA96sA320DaUDzk2qfDgppQGSyuP/I
GWlAf2ySH/EiaUBB176AXjtpQCTwh59/QmlAmiZsPxlTaUD2z9OAQV1pQDdx
cr/DYmlAAP2+f3NjaUCP5PIfUn1pQG8MAcCxgmlAe2mKACeLaUAtPgXA+Itp
QH1dhv90mmlAI/lKIKWcaUC28pL/SZ9pQM6LE19toWlAbf30nzWjaUB5Xb9g
N6RpQMZtNIC3sGlAradWX12zaUCpiT4fZcJpQD/IsmBiw2lAaM2Pv7TPaUAe
xqS/F9NpQLXgRV/B4WlAhq5EoHriaUDeADPfweNpQMReKGC76mlAg4dp39wB
akCz0Tk/xQJqQPGEXn8SBGpAyHn/H6cXakB3MGKfgCFqQP7zNGAQI2pAMV9e
gH0kakC5GW7AZ0NqQISc9//xTGpAIPDAAEJiakB5P26/fGNqQIGWrmCbg2pA
SyL7IEuIakB5Vz1gnpNqQLkZbsDnoGpAk//J372hakCx3T1A96JqQM+goX8C
pGpAuyu7YPC9akCGrkSgesxqQF2j5UAP42pAPrMkQE3jakB8e9egL+RqQHdO
s0A76WpALCl3n+PzakCWBRN/lAJrQEXXhR+cA2tAbvqzH6kUa0BOK4VALiNr
QCwpd5/jI2tAYJSgv1Aya0AXnwJgPENrQCo7/aCuYWtALUFGQIVia0DnOSLf
pWNrQI3PZP+8gmtARuwTQDGEa0AFNufgGaNrQIOHad9cpGtARu9UwD2oa0Bo
yk4/qLRrQAL0+/5Nw2tAeV2/YDfEa0ALYMrAgdNrQNnuHqB74WtAARWOIJXj
a0DmWrQAbexrQMI0DB+R9WtAh6jCn2H/a0Da5VsfVgJsQBJsXP+uA2xAZcdG
IF4hbEB8e9egryJsQEn1nV8UJGxAY9AJoQNBbED1ona/CkRsQNv9KsB3TWxA
x2Rx/5FjbEBdixagbWRsQFuU2SCTaWxAnFCIgEOPbEAHP3EA/aBsQGSyuP9I
omxAAyfbwB2jbEDPu7GgMLFsQP8Iw4Clw2xA4Qz+fjHibEB3TrNAu+NsQDNu
aqD5/mxAHM9nQD0DbUDymeyfpwNtQDSD+MAOBG1AM1Naf8sObUBuFcRA1xpt
QBy0Vx8PI21AxXO2gFAkbUDwpfCgWUJtQOQtVz82Q21AyHxAoDNEbUAHJ6Jf
22FtQFZkdECSY21A5j+k3753bUA5m44AboFtQKabxCCwg21A6Etvf66RbUA4
hgDgWJNtQHxI+N7flm1A1NaIYBykbUDHZHH/EcNtQNTTR+APxG1AE5m5wGXi
bUB6VPzfkeNtQCDSb18H5G1AuRluwGfkbUBBuW3fI/xtQCUC1T8IA25Akxra
AOwEbkDfG0MAcAtuQOyEl+BUHG5A++qqQK0ibkDuluSA3SNuQDiGAOBYQ25A
gqj7ACREbkBfmiLA6URuQFhzgGCOY25A73VSX5aBbkCy8stgjINuQJYjZCBP
hG5AXJGYoAajbkAe3nNgOaRuQL00RYDTrW5Aj95wHzmvbkCHqMKfYcNuQIOl
uoCXxG5AyXa+nxribkAj2/l+auNuQGSvd3+8A29A/N6mP3sHb0BF14UfHA9v
QB7AIr/+IW9AXJGYoAYkb0BhqS7gZSVvQO1+FeA7KW9AXJGYoIY4b0CiX1s/
/UJvQB7ec2A5RG9A6l28Hzdeb0DkS6jgcGNvQCgpsACmZG9AW2H6XkNrb0C0
AdiACHVvQCcR4V+EhG9AUkZcABqkb0CDpbqAF6VvQJ9x4UDIuW9AJQLVPwjF
b0B+b9OffeNvQMx/SL995G9A0cq9wKzlb0ActFcfj+pvQHpvDAHA729AUS6N
X3j2b0CfPgJ/+PtvQEn1nV8UAXBAnUfF/10CcEBUUiegCQZwQDmAft//EHBA
oFOQn40RcEBNE7afDBJwQH5yFCCKEnBASwSqfxAhcEB4Qq8/SSJwQD6w47/A
MXBABirj32cycEDTvrm/+jZwQC44g7/fQXBASwSqf5BCcEA5gH7fP1FwQAIP
DCD8UXBAstR6v5FScECjdyrgXlRwQDiGAODYXXBAH9jxXyBicEDnUfF/x2Jw
QNffEoC/b3BA08H6P0dxcEBTPZl/tHFwQO1+FeA7cnBAXYsWoO1ycEAAAAAA
wIFwQCUFFsBUgnBAste7P56RcED84ee/h5JwQDZ39L/cm3BAV17yPzmgcECa
PjvguqFwQH1dhv80onBA8parH5urcEA3jILgMbJwQEbsE0DxsnBAKh2s//PB
cED4w89/T8hwQAIMy58v0XBAGJmAXyPScEAtPgXA+OFwQFA3UOAd5HBAuATg
n5LxcEBq3Jvf8PFwQHQkl/9Q8nBAX5fhP10BcUCaPjvgegFxQApLPKDsAXFA
7GmHv+YCcUANVMa/DxJxQPKZ7J8nG3FAhJz3//EbcUD3yVGAKB5xQKFoHsAi
InFAJQUWwFQmcUB9dVWgVilxQHMtWoC2K3FAkfC9v0EycUBio6zfzDVxQMVY
pl/iQXFAIeo+AGlCcUBvD0JAflJxQNffEoA/XHFA5DCYvwJicUBfmiLAKWJx
QOxph7+mYnFALCy4HzBncUBAv+/fPGxxQG8MAcCxb3FA/OHnv8dycUDRsu4f
y4JxQJQRF4BGhnFAuRYtQBuRcUCmmIOgI5JxQOhOsP96knFAeVc9YN6ScUBz
KhkAapNxQHlafuBqoXFA/vM0YFCicUDQtS+g16hxQGfTEcBNsXFAOIO/X0yy
cUBSQxuAjcFxQBy3mJ9bwnFATihEwCHRcUDBUl3AC9JxQIWZtn8l2XFA9rTD
X1PhcUBZar3fKOJxQHEeTmB65XFAz6Chf0LycUDZ7h6gewJyQF+X4T9dEHJA
chjMX+ERckDCTxxAfxJyQAYq498nH3JAuhCrP8IhckBOJQNAlSJyQAk2rn9X
LHJAROBIoMEyckC9N4YA4EJyQKeVQiBXUXJAFqWEYJVSckCsrdhf9l9yQLb1
039WYnJA8Irgf6txckBSRlwAGnJyQO2BVmCIcnJAXHaIfxiCckCBk23gzoJy
QDBHj9+bkXJAuyU5YJeSckAk8Ief/6ByQD/FceDVonJA2/0qwPejckAaqIx/
36dyQA1Uxr+PsXJAe2ZJgBqzckDb96i/3sJyQOdR8X+H0nJAL1BSYEHWckAK
SzygrOJyQGO4OgCi8nJAAhJNoIj7ckDIef8fZwJzQIWZtn8lInNA/vM0YNAo
c0C8H7dfvjJzQDRo6J9gQXNAzZGVX8ZCc0BF2safqFJzQELRPIDFYnNAelT8
3xFyc0Cqnsw/+nJzQKBTkJ+NdXNA4zYawNuJc0DGavP/KpJzQBKEK6BQknNA
RdeFH9yhc0CAft+/OaJzQEfmkT9YsnNADVGFP8Oyc0AvUFJgwcFzQPvnacBg
wnNAdjOjH03Sc0CQ+YBAp/JzQCcUIuDQ83NAp5VCINf0c0A6kst/yAJ0QGXH
RiCeEnRAJxdjYN0idECfVtEfWiZ0QG0Dd6AOQHRA97GC38ZBdEBdixagLUJ0
QNGvrZ9+SnRA19zR/3JydEDCTNu/MnN0QFM9mX+0gnRAdjbkn1mSdEADCYof
o7J0QIarAyBu03RAByeiX1sGdUDSxDvAkxF1QFA0D2AREnVAH9sy4OwSdUCw
yK8f4iJ1QNGy7h/LMnVARdrGn6gzdUAvUFJgAUN1QMyaWOCrUXVAsMvwn65i
dUA0ZacfFLJ1QGzu6H953XVA/OHnvwcTdkDjNhrAWzJ2QMNhaeAHM3ZAfXVV
oJZCdkDgKk8g7FJ2QF+X4T9dYnZAE36pn/didkDymeyfZ5N2QGCsb2Cyo3ZA
xmrz/+qzdkDSx3xAYLR2QBWNtb/zwnZAINWw39P8dkA+sOO/gFJ3QBWQ9j+A
U3dAuRluwKdid0DAPc+fdnJ3QIm0jT9RgndAzZGVX0aDd0B4Qq8/CZJ3QGvx
KQBGkndAkfC9v4Gid0C/Q1GgjyN4QL4uw396cnhAX5fhP92CeEAxXB0AsZJ4
QMyaWOCrw3hAR+nSv+TSeEDGavP/6jN5QIKQLGCCKnpALCy4H7BTekA8pBgg
UWN6QCUFFsDUY3pAjuczoJ5zekCFsYUghwx7QPvnacDgk3tAYKxvYDKke0Dp
YP2fA6h7QCcUIuBQzntAEoQroBA/fEBo0NA/QZN8QD6zJEBNs3xAnkSEf9Er
fUAWokPgCJV9QDBHj98b1H5A9bpFYOzUfkDb96i/Hup+QJYjZCCPBH9AfGMI
AE78gEBI+x9grRWCQKuwGeCiuINA2/0qwBdBhUBmwcQfJYGFQKFl3T8WQYZA
/OQoQHT2h0DpYz4gcHCIQDRo6J+ArItABirj34e7i0Ah5/1/XFWNQKeSAaAq
N49AJxHhX0S1j0BbfAqAcY2QQHxjCABeoZBA/vDz32P8kEDtfhXgax2RQJs7
+l/uSZFA4ScOoC9skUAIOe//Az+SQG8MAcCRUpJAuhPsv25jkkAtPgXAuGeS
QIi6D0BKapJAj+TyH9JrkkAxXB0AMbaSQH5yFCBK65JA8Irgfxssk0CbO/pf
/jGTQLTpCOAmVJNArrzkf4Jak0C6E+y/vp6TQDqVDAB1DZRANGjon0AQlEBV
T+Yf7R+UQHEbDeBdL5RAuhPsv45KlEBt/fSf1W+UQApI+x/Qd5RANGjonwCU
lECrsBngkq2UQPSo+L9T2pRAbwwBwCHjlEDnUfF/1+OUQBWQ9j8Q6JRAHcnl
P6QIlUC+MQQARwqVQApI+x9QHZVARuwTQLE0lUDIef8fx2KVQPSo+L8TZpVA
gH7fv4mHlUDvjSEAOKWVQMyXF2CfvJVASPje36DLlUD61RwgqOiVQLTpCOC2
BJZAuAchIM8IlkBOJQNAJR6WQMBAECCDRZZASgfr/3xIlkBKB+v/TFqWQPCK
4H97eJZAuATgn8KLlkBE3Qcg9ZSWQBWQ9j+Ar5ZAX5fhPx21lkA0aOif8M6W
QEbsE0AR+5ZAAAAAANAYl0AEHhhAuGSXQJcd4h8WepdAbO7of5mAl0A=
</binary>
          </binaryDataArray>
          <binaryDataArray encodedLength="10976" 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>NnLdlPIaAUCjVpi+11D6P3hi1ouhvANAISI17WI6AEDqA8k7h/L8P0zChTyC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</binary>
          </binaryDataArray>
        </binaryDataArrayList>
      </spectrum>
    </spectrumList>
  </run>
</mzML>
