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enh: Add example that produces no warnings #471

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101 changes: 101 additions & 0 deletions perfect/README
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This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
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This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
This dataset produces no errors.
16 changes: 16 additions & 0 deletions perfect/dataset_description.json
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{
"Name": "Example dataset",
"BIDSVersion": "1.9.0",
"Authors": [
"Chris Markiewicz",
"Me again"
],
"DatasetType": "raw",
"License": "CC0",
"GeneratedBy": [
{
"Name": "Manual"
}
],
"SourceDatasets": []
}
40 changes: 40 additions & 0 deletions perfect/sub-01/anat/sub-01_T1w.json
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{
"Manufacturer": "me",
"ManufacturersModelName": "Test",
"DeviceSerialNumber": "1",
"StationName": "here",
"SoftwareVersions": "latest",
"MagneticFieldStrength": 0.0001,
"ReceiveCoilName": "Fred",
"ReceiveCoilActiveElements": "hamsters",
"GradientSetType": "big",
"MRTransmitCoilSequence": "surprising",
"MatrixCoilMode": "coiled",
"CoilCombinationMethod": "slinky",
"PulseSequenceType": "artificial",
"ScanningSequence": "one-at-a-time",
"SequenceVariant": "nope",
"ScanOptions": "mandatory",
"SequenceName": "the usual",
"PulseSequenceDetails": "simple",
"MTState": false,
"SpoilingState": false,
"NumberShots": 1,
"ParallelReductionFactorInPlane": 1,
"ParallelReductionFactorOutOfPlane": 1,
"ParallelAcquisitionTechnique": "silly",
"PartialFourier": 1,
"PartialFourierDirection": "up",
"EffectiveEchoSpacing": 0.01,
"MixingTime": 0.1,
"PhaseEncodingDirection": "j-",
"TotalReadoutTime": 0.02,
"EchoTime": 0.03,
"InversionTime": 0.001,
"DwellTime": 0.001,
"FlipAngle": 90,
"MultibandAccelerationFactor": 1,
"InstitutionName": "Bedlam",
"InstitutionAddress": "London",
"InstitutionalDepartmentName": "Psych ward"
}
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