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enh: Add example that produces no errors
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‎perfect/README‎

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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.
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This dataset produces no errors.

‎perfect/dataset_description.json‎

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{
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"Name": "Example dataset",
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"BIDSVersion": "1.9.0",
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"Authors": [
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"Chris Markiewicz",
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"Me again"
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],
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"DatasetType": "raw",
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"License": "CC0",
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"GeneratedBy": [
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{
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"Name": "Manual"
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}
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],
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"SourceDatasets": []
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}

‎perfect/sub-01/anat/sub-01_T1w.json‎

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{
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"Manufacturer": "me",
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"ManufacturersModelName": "Test",
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"DeviceSerialNumber": "1",
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"StationName": "here",
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"SoftwareVersions": "latest",
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"MagneticFieldStrength": 0.0001,
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"ReceiveCoilName": "Fred",
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"ReceiveCoilActiveElements": "hamsters",
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"GradientSetType": "big",
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"MRTransmitCoilSequence": "surprising",
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"MatrixCoilMode": "coiled",
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"CoilCombinationMethod": "slinky",
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"PulseSequenceType": "artificial",
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"ScanningSequence": "one-at-a-time",
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"SequenceVariant": "nope",
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"ScanOptions": "mandatory",
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"SequenceName": "the usual",
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"PulseSequenceDetails": "simple",
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"MTState": false,
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"SpoilingState": false,
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"NumberShots": 1,
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"ParallelReductionFactorInPlane": 1,
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"ParallelReductionFactorOutOfPlane": 1,
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"ParallelAcquisitionTechnique": "silly",
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"PartialFourier": 1,
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"PartialFourierDirection": "up",
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"EffectiveEchoSpacing": 0.01,
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"MixingTime": 0.1,
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"PhaseEncodingDirection": "j-",
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"TotalReadoutTime": 0.02,
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"EchoTime": 0.03,
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"InversionTime": 0.001,
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"DwellTime": 0.001,
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"FlipAngle": 90,
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"MultibandAccelerationFactor": 1,
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"InstitutionName": "Bedlam",
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"InstitutionAddress": "London",
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"InstitutionalDepartmentName": "Psych ward"
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}

‎perfect/sub-01/anat/sub-01_T1w.nii‎

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