Mercurial > repos > computational-metabolomics > dimspy_process_scans
comparison test-data/batch04_QC17_rep01_262.mzML @ 0:62c4813fbe7a draft
"planemo upload for repository https://github.com/computational-metabolomics/dimspy-galaxy commit 6321871098b2c4bc9e321d20b7e66fff3d641839"
author | computational-metabolomics |
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date | Sat, 11 Apr 2020 16:48:19 -0400 |
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1 <?xml version="1.0" encoding="utf-8"?> | |
2 <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"> | |
3 <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"> | |
4 <cvList count="2"> | |
5 <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"/> | |
6 <cv id="UO" fullName="Unit Ontology" version="09:04:2014" URI="https://raw.githubusercontent.com/bio-ontology-research-group/unit-ontology/master/unit.obo"/> | |
7 </cvList> | |
8 <fileDescription> | |
9 <fileContent> | |
10 <cvParam cvRef="MS" accession="MS:1001472" name="selected ion monitoring chromatogram" value=""/> | |
11 </fileContent> | |
12 <sourceFileList count="1"> | |
13 <sourceFile id="RAW1" name="batch04_QC17_rep01_262.RAW" location="file:///C:\Users\weberrj\Downloads\raw\raw"> | |
14 <cvParam cvRef="MS" accession="MS:1000768" name="Thermo nativeID format" value=""/> | |
15 <cvParam cvRef="MS" accession="MS:1000563" name="Thermo RAW format" value=""/> | |
16 <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="db713ea6ef1ad7aa19a00fa478027a4ee6acfe1d"/> | |
17 </sourceFile> | |
18 </sourceFileList> | |
19 </fileDescription> | |
20 <referenceableParamGroupList count="1"> | |
21 <referenceableParamGroup id="CommonInstrumentParams"> | |
22 <cvParam cvRef="MS" accession="MS:1000557" name="LTQ FT Ultra" value=""/> | |
23 <cvParam cvRef="MS" accession="MS:1000529" name="instrument serial number" value="SN06102F"/> | |
24 </referenceableParamGroup> | |
25 </referenceableParamGroupList> | |
26 <sampleList count="1"> | |
27 <sample id="_x0032_62" name=""> | |
28 <cvParam cvRef="MS" accession="MS:1000002" name="sample name" value="262"/> | |
29 </sample> | |
30 </sampleList> | |
31 <softwareList count="2"> | |
32 <software id="Xcalibur" version="2.5.5"> | |
33 <cvParam cvRef="MS" accession="MS:1000532" name="Xcalibur" value=""/> | |
34 </software> | |
35 <software id="pwiz" version="3.0.19248"> | |
36 <cvParam cvRef="MS" accession="MS:1000615" name="ProteoWizard software" value=""/> | |
37 </software> | |
38 </softwareList> | |
39 <instrumentConfigurationList count="2"> | |
40 <instrumentConfiguration id="IC1"> | |
41 <referenceableParamGroupRef ref="CommonInstrumentParams"/> | |
42 <componentList count="3"> | |
43 <source order="1"> | |
44 <cvParam cvRef="MS" accession="MS:1000073" name="electrospray ionization" value=""/> | |
45 <cvParam cvRef="MS" accession="MS:1000057" name="electrospray inlet" value=""/> | |
46 </source> | |
47 <analyzer order="2"> | |
48 <cvParam cvRef="MS" accession="MS:1000079" name="fourier transform ion cyclotron resonance mass spectrometer" value=""/> | |
49 </analyzer> | |
50 <detector order="3"> | |
51 <cvParam cvRef="MS" accession="MS:1000624" name="inductive detector" value=""/> | |
52 </detector> | |
53 </componentList> | |
54 <softwareRef ref="Xcalibur"/> | |
55 </instrumentConfiguration> | |
56 <instrumentConfiguration id="IC2"> | |
57 <referenceableParamGroupRef ref="CommonInstrumentParams"/> | |
58 <componentList count="3"> | |
59 <source order="1"> | |
60 <cvParam cvRef="MS" accession="MS:1000073" name="electrospray ionization" value=""/> | |
61 <cvParam cvRef="MS" accession="MS:1000057" name="electrospray inlet" value=""/> | |
62 </source> | |
63 <analyzer order="2"> | |
64 <cvParam cvRef="MS" accession="MS:1000083" name="radial ejection linear ion trap" value=""/> | |
65 </analyzer> | |
66 <detector order="3"> | |
67 <cvParam cvRef="MS" accession="MS:1000253" name="electron multiplier" value=""/> | |
68 </detector> | |
69 </componentList> | |
70 <softwareRef ref="Xcalibur"/> | |
71 </instrumentConfiguration> | |
72 </instrumentConfigurationList> | |
73 <dataProcessingList count="1"> | |
74 <dataProcessing id="pwiz_Reader_Thermo_conversion"> | |
75 <processingMethod order="0" softwareRef="pwiz"> | |
76 <cvParam cvRef="MS" accession="MS:1000544" name="Conversion to mzML" value=""/> | |
77 </processingMethod> | |
78 <processingMethod order="1" softwareRef="pwiz"> | |
79 <cvParam cvRef="MS" accession="MS:1000035" name="peak picking" value=""/> | |
80 <userParam name="Thermo/Xcalibur peak picking"/> | |
81 </processingMethod> | |
82 </dataProcessing> | |
83 </dataProcessingList> | |
84 <run id="batch04_QC17_rep01_262" defaultInstrumentConfigurationRef="IC1" startTimeStamp="2011-04-02T02:28:02Z" defaultSourceFileRef="RAW1"> | |
85 <spectrumList count="1" defaultDataProcessingRef="pwiz_Reader_Thermo_conversion"> | |
86 <spectrum index="0" id="controllerType=0 controllerNumber=1 scan=5" defaultArrayLength="3205"> | |
87 <cvParam cvRef="MS" accession="MS:1000582" name="SIM spectrum" value=""/> | |
88 <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> | |
89 <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> | |
90 <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> | |
91 <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="132.076675415039" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> | |
92 <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="1.3824452e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> | |
93 <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="3.8514884e07"/> | |
94 <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="70.003132665583" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> | |
95 <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="169.980165333379" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> | |
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97 <scanList count="1"> | |
98 <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> | |
99 <scan> | |
100 <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.57299" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> | |
101 <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p ESI w SIM ms [70.00-170.00]"/> | |
102 <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> | |
103 <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="40.172946929932" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> | |
104 <scanWindowList count="1"> | |
105 <scanWindow> | |
106 <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="70.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> | |
107 <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="170.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> | |
108 </scanWindow> | |
109 </scanWindowList> | |
110 </scan> | |
111 </scanList> | |
112 <binaryDataArrayList count="2"> | |
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F4/kux3YKVbYFdq5ncDXYn/gu/mSdQYfQw6TBOJfNZ5H/CQBu8f9+g981sEE/mp1kPceyXleug/6JolDLhRerLTK361MntRIKM14xbCDba9F6INqG3m/ajT4MPMLXzhPFhDfapsOPL/OD38UxV9xl7fHT9W+0O5HLhxFH2Mo+Ruj5VXpbyy9BZ4r5YEP+sWDx/gr6OWqudH3U4pLXEvLM4Px5p+X7+2Ehqzr+hb29weh7AuHpvL7mAjwlqoq+9c3T+hx64387ryaQb9/YtgPj4APZ04d7B0P8gnuy5bQ6/Hf8Gmcl8BjmwOQ2wP4g/rES8Sj9+M3atXaIv9pP8KHWVsQB11UE/xV8BA+cq6/lPHMN1Owh9rhh9i15gHXlJS87xYofqsz+QF4zNSZfj2SSnzXuFmbfS7bE+Rk7h7oV3id+AXOimCJz2ovq0g8RvtchXjsQP2AwJUhVMaxg0oqvvbC/6tdCrw8mSXjaBv/wM/In1daff0wgcvaslT6mcGXgHfBRPTNRg1+/f4v8SW/efjfMeH41xPQC7ZF3tlN/rf0M+a+VHnMKeDBLyt8EYYf6DzVweNk8rL2hhfky1elZ/9/iX+hNyIvYq9fgH/1cCh85DUZu+ww8QxndBL8loSH0l+//xu+Cf/KumouBL7wdfJs3fDFHt62GDv8yXb4JtIb+aqC/W+tgP8tfxU3mJ8b/hiXn32vQUX4qrKKI/5KhR7YSDzUyt6H3wtiF2m1Vf74GfuJtY/4jbuyNfLuT1xd70c805jTVPBpRar9ecBk4H8/Bn913RLW54VfoNUvRHyrDvEMZ3wr+DQfcQsnC/k6c/qf6LncBvjP+QP9UL8M9kTqGPTGRaXf7bzynfG7iXrGbzIOLmZ/v38MOmX1gh558UvszveAI1Nz7K4u57EvRnujP6pexo+eXZTnUPwNu46LnXL3Ffy49SFy/NplPbM7QicDu0Cvh/9lLHqr8s/v2RcaqLxXn3LA2Rx94DRtDH1uNQQfn6exrvf4E+Zs4pv2olmMV0ThKTf+qXniOnKZbwJxjxKj4PeUJVQ8lPim8XwZbcVz6JOZ45CHZ+z/eifyVFbQROjhz/7i7i/KPhjBPmXeqc9+cg//y3EyQ/8oF77YPhD+/nUUfdUPP9WaR72MW/8rfuql1sD5MjPyN419zf19CT/aK4L17DgGfmZ0F/xoCehv60R94qlziR+ai96xjmMjlf+ejXGDPqD/U2ZaBV6I+xsHKsP3k6tBv6Fr4ctZU4H/Rhr44GF6xs1/Tb63U5dAPg+3Y9+truL5p4i7aQPKgqeclcFvPHEy99Rb6NVxH/5hhQDg8e+xinHII+tNp7O+CB8V761H/vUb9ps2ejLrS3UfvpxIvlzvl5L1LDxF/5vK/n+AH6j75Wf+vuw/9vbZiu+qAP8Y8upWkunEQ4oMYj8fFwwcN4gHu/VVHv3eGuyFVCuge/Jn+KvxjdA7jYKVfdEcO+LEJIV3ZU+GkD8wijdj/W12wR+DM4L/oK7kD8vngx+6VkNu4j9A70s54I8kr+jfnP3a/Y1d6pb25HkmfGucIc+jTf8CfhMCwXcQ/Gam4jv7xQn2Rx/F794vZH8zvpy5Lm3+Ssy7ivWYXvjF2vkm2OWZyA84gQOhV7vcrCt+Ls97qbOwqlUCzqxd5NlcmxY5MkYSH/M6CR3rKH+qTBnw3vIXdDyA/jdmted9LHFS60xhGc85HA3f/0zHegcchY/bEF+3qvZn3qfK7yjC/qRp5NusSWHMu7kacGRlvzSDoZf5FT9afxXNer+3Zf9q54NezdQRP6DwS+yJZuRd9X7PGSc6kH6X0gGvdQL526byeZM3Ac/l7dhHcauQ05Tko5zUF9mnOlL35czeAh7mPGa+AQtY56EZ1Pd4zYMOjVMA/0vsTzeUuKIRRb7fuEudjPG2BXg5VQD+eLvntIzfNuknwUvjCdiTqWPke3s/eXuzTEn26+OB8HmYqi8rsBW5S8Qv1FPfQH6nIk9OKkv4zq4wj/eR8Lez7SP2xvlO+P+/ljNumUrQNRI/2NhN/Y398BP2kF9v8OUHv9l/DQJf3ckTmY/Ss/6BFyQPb27BH7S+fmfcj9S/mAm70WP7DPDRl/oII+sh+D4X8THrOfukE7eX/rVGMO9sFe8prOoTuwWiJ4tRt2hVrYG9m+UY9nuBK+zn7x5Rh9BL4a1gTvRSKex8sxf2reGkRh7ubmbefw7DZ2lqgdc7jbE/+41gPT6qXqmwsldyhcBfj2qD18Cb4CE98Uf7WBKxd91aPsh9O4v97xt2iD2sxhHpf7Qz9tiKu9gr0fCftoX4uTZ+N88Fq5+RceLnEVdNSl2BG+EH3VsRLzZK49fp73vDv37V0KPLq8GnX/DzdX2MslvHgIdY4m7O/Ufou2zRUu9h3sN+0jKspP/p1DHyvTNA/Akte/oo+a6fl/ChNvgi63tHftDIWxC+ClB5k2KX0F9/zQVfJalzNPKhX+x8z/l9wxH4ow12hjHRF/nc3Rl/P+M/6IF+7Kf69LnYWVeygOdtNuPlrbsF+q2jX96CArdTYQJ0LdEXfjpEPZFlAIf7DX3jllH1AveSsY5irVjX5HNi19pNyLO6yS7L+vU/L1IHMQx723pFnlA7FMN4D6vL9/riV9ClYxD28UmXfPutzdBt9C5V10cdrd0Tv9EstY94fMQ/8EuOPsTdxlFHYOgjlVz8CX+WVfn6tuTZnY7e4KfdQupuAqpAt+f4N9aiUuB7VEP4acytXfJ79AXgGuqj8t3jZZ2G2wH793xL4hJD34OHTD8Fz3ZiTqkTciP9qQc6c51+3d4Kf+nv/0YfRi2QVo86I3Lzf3oz313ypXpEHep7jhqHZFz/XewTM19SB1RwDfrl5L8Cr3nYm/qqskfw97bEMo53UuKdtTpHy/s2Fw5K/wJ3xQ81YobJ+ObG8iKfZtKH1CnNnCJ+q5VgCL8b/ugHO2AE/m/hoTKec7WbfGfPHizr0+KKXpLvdnzdyby3pF7KaB8fJ/B4npHxnSYP5Hu78VvqqqZelHGdS80FLmdyHvjso4fMr6fQ5Hsn3S2By+69+bw8v/sl72179jFpYyfFStuoscDl3Govz0bfvUdlfTt6npLnR4vle31iCXlvDcpxW+Bv/8WR54fLgLdvRdnPrE7N5FkLOsV8Gd8I3u3MAbJOK10jwasT3Bf8vJ3Gukcul/G0Hi+hY3Dpi7Ku+7dkXGfggZPyvLWfQ3tG3tvPMkp/fd5V6a+F3Lom75e0l2ezw0RXntcME/jtYiFnpX/RIeekf3nvE/Kcs4rgQe/UDbyYeaB/W0/qwvTmoi/s2gOlvx3VlDhFPuIoxvikglcnKpXAaXmESz+37A3hb+eGKe+1UmmA62UofH/o03Fppza9I/0q3rwqcPwzSOhuzun5UL6bECX8ou14I/OYe/3BzzZ/oZO7qJSsW68+Xt47Vj7ppz2qLuNrR/wFT9r7DAKX1b0Y42TZJfNp0ybLuq2I4ezfZWfEMO7OK/Kc+F3mt89F8vyrCXzhujfk+djqp/KczXkk7dyhl2VdcYMey3fdpgo/mgkNBO/Oqivyndt3E+vNnfSuPF+dJnC4A3LBR2/eyXfOpA1CD73WBVmPObE4+97fJ+DvHY1Y79Wwo/L+YBLWl2EDfHh4JP1LbINvc/WR342oWdLfyFJMxre/b5bx3deN4uU5yw/BrzOtJ/wXs1PgN+ypMo5TPa3gU7sVJ+MbgXeEn637r0R+rUGf5Vnbux++upQEufT+hJ5wNmHnR6YXOXHulCNf2n07euHvv5CXi7WxW7ZMpa4xbAPykuyr+Ov2uGTyvb5wGPiaaLJ/NG+OXq1VEv12tLrUd9rnx1L/UO4f9OfD1uwPXxcSr3+nCfzGnXPyu/mjMXG6DD2wX76mR78m9aduNHe0yIcVegi707sR+08Q5wXMbe1F71n3huBvrUeujCdTad+fYx1TdrDvfKmD3A37Alxj1zJfTT/25bEpGD9/Gey4v7axnxQjHqXX53yGNaIn+/9T6n/dNWfZ5y6UQC8drkUdrudN5jmJXWpnrafyzvip1h+XBC5zIvk87exK9nmP8iqepeo2K1H3Yr4sjp1drQ39Nh4njjcgiv15STL6x33A37z6GTx1oc7dikyNPfwznPfNqwl+rALd0fcvsIeNTh7Y8X6qHjzgsLx31qvzLivV+ZMZ13n/dyf2ZU/im26jvdhrBSeL/jPqEx+095dgvw8ZAB4zYL+a1/oyr+cFae2lTbFzG9rEL3a6gie3Bv66W5R6N9d7KHbL2y2sNx/1UMZyzjO5G2PVuaUg4DKGgPcOY3nfs7mMo2WZyfMr7C0nxTzotCg7fPcef1rrRz5Mf1VY+unbq9EvL+cE3OM+Qhez2xLsoKXB+Knh2JXmZ+pY9PXUXVpZemBPpyRuYkc+xC7J/UL0oWPj35lbqENxWxE/MlMfVXinfkU7R/7IvOBL22UAbQh1aPoN6hSN2GHwVU/kRe9GPMyaEQl+jpHf176WRY/McuGvtP3x8+ZT/2LmIm9qDaOeyz75Df8xvQE+u5XC7/+1TNUjXAD+ScpO3xij6l6o69VXjMaOST+cfS//X9g/qxLYZ9vyvTGTuJV+9yXj5U5knOkVoMu/K6irKOkHn2efyfhbJhEvv/0Hdn66buAhtgLr6NqX76OJhxrdNiJfP4kj6OHkz6wiicDf6S3rzkXcQl/TlviZ7wlFD3XOpIzyi5/VhC+yxwBPbeIg+i/qD02PZOwPGaJ4X28x+iRlWvB3XMX5w6iT0ULhdyuI83ZOg7vgoTNxVH3PcOhxWJ13ShUB36cOge6b58O37TPx3XXiPu40zsXYefdj91chv+p8CoeP3jG+3Y1zBNbwB8y3Kpa8ziT2G7fmLeT1KHU7pkW9g33/A/mkE03ZH9KsJ/+xFb1gdj3L/qHq1R1jLfzoA/21OsWhnxvLutMQ53Zjn4O3Qu3B21fyZs4fqt66OfkDJ3Vuxik5njyQJ/W4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