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Hi, I'm working with the data from this paper.
Raw data is available here: https://massive.ucsd.edu/ProteoSAFe/dataset.jsp?accession=MSV000083858
Checked several samples from the data, and every frame in every sample looks like this - with nonsensical, repeating numbers and 2^32-1 for tof.
D.query(frames=[1], columns=all_columns)
{'frame': array([1, 1, 1, ..., 1, 1, 1], dtype=uint32),
'scan': array([962, 962, 962, ..., 962, 962, 962], dtype=uint32),
'tof': array([4294967295, 4294967295, 4294967295, ..., 4294967295, 4294967295,
4294967295], dtype=uint32),
'intensity': array([0, 0, 0, ..., 0, 0, 0], dtype=uint32),
'mz': array([1.16998969e+11, 1.16998969e+11, 1.16998969e+11, ...,
1.16998969e+11, 1.16998969e+11, 1.16998969e+11]),
'inv_ion_mobility': array([0.60334394, 0.60334394, 0.60334394, ..., 0.60334394, 0.60334394,
0.60334394]),
'retention_time': array([1.00014505, 1.00014505, 1.00014505, ..., 1.00014505, 1.00014505,
1.00014505])}
Adding global metadata:
{'SchemaType': 'TDF',
'SchemaVersionMajor': '3',
'SchemaVersionMinor': '0',
'AcquisitionSoftwareVendor': 'Bruker',
'InstrumentVendor': 'Bruker',
'TimsCompressionType': '1',
'ClosedProperly': '1',
'MaxNumPeaksPerScan': '374',
'AnalysisId': '00000000-0000-0000-0000-000000000000',
'DigitizerNumSamples': '410976',
'PeakListIndexScaleFactor': '1',
'MzAcqRangeLower': '50.000000',
'MzAcqRangeUpper': '1550.000000',
'OneOverK0AcqRangeLower': '0.417355',
'OneOverK0AcqRangeUpper': '1.888302',
'AcquisitionSoftware': 'Bruker otofControl',
'AcquisitionSoftwareVersion': '5.1.81.740-13575-vc110',
'AcquisitionFirmwareVersion': '<unknown>',
'AcquisitionDateTime': '2019-02-15T12:59:09.028+01:00',
'InstrumentName': 'timsTOF Pro',
'InstrumentFamily': '9',
'InstrumentRevision': '1',
'InstrumentSourceType': '11',
'InstrumentSerialNumber': '1838271.22',
'OperatorName': 'Demo User',
'Description': '',
'SampleName': '201902014_TIMS1_LC6_CaVa_lipidom_plasmaNIST_MTBE_1in20_90min_TIMS-MSMS',
'MethodName': 'metabolomics+lipidomics PASEF_stepping_10000_1500.m'}
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