p2p-ld/nwb-linkml
1
0
Fork 0
mirror of https://github.com/p2p-ld/nwb-linkml.git synced 2024-11-15 03:04:30 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions
nwb-linkml/docs/read_output.txt

943 lines
59 KiB
Text
Raw Normal View History

Still working on docs! Added ability to index datasets wtih arrays with getitem
2023-10-19 04:18:02 +00:00
NWBFile(
│ hdf5_path='/',
│ name='root',
│ nwb_version='2.2.2',
│ file_create_date=array([datetime.datetime(2020, 5, 26, 0, 53, 26, 903120, tzinfo=datetime.timezone(datetime.timedelta(days=-1, seconds=61200)))],
│ dtype=object),
│ identifier='760693773',
│ session_description='Data and metadata for an Ecephys session',
│ session_start_time=datetime.datetime(2018, 10, 26, 12, 59, 23, tzinfo=TzInfo(-07:00)),
│ timestamps_reference_time=datetime.datetime(2018, 10, 26, 12, 59, 23, tzinfo=TzInfo(-07:00)),
│ acquisition={
│ │ 'raw_running_wheel_rotation': TimeSeries(
│ │ │ hdf5_path='/acquisition/raw_running_wheel_rotation',
│ │ │ name='raw_running_wheel_rotation',
│ │ │ description='no description',
│ │ │ comments='no comments',
│ │ │ data=TimeSeriesData(
│ │ │ │ hdf5_path='/acquisition/raw_running_wheel_rotation/data',
│ │ │ │ object_id=None,
│ │ │ │ name='data',
│ │ │ │ conversion=1.0,
│ │ │ │ resolution=-1.0,
│ │ │ │ unit='radians',
│ │ │ │ array=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x120933210>
│ │ │ ),
│ │ │ starting_time=None,
│ │ │ timestamps=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x123abd2d0>,
│ │ │ control=None,
│ │ │ control_description=None,
│ │ │ sync=None
│ │ ),
│ │ 'running_wheel_signal_voltage': TimeSeries(
│ │ │ hdf5_path='/acquisition/running_wheel_signal_voltage',
│ │ │ name='running_wheel_signal_voltage',
│ │ │ description='no description',
│ │ │ comments='no comments',
│ │ │ data=TimeSeriesData(
│ │ │ │ hdf5_path='/acquisition/running_wheel_signal_voltage/data',
│ │ │ │ object_id=None,
│ │ │ │ name='data',
│ │ │ │ conversion=1.0,
│ │ │ │ resolution=-1.0,
│ │ │ │ unit='V',
│ │ │ │ array=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124931e90>
│ │ │ ),
│ │ │ starting_time=None,
│ │ │ timestamps=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x123abd2d0>,
│ │ │ control=None,
│ │ │ control_description=None,
│ │ │ sync=None
│ │ ),
│ │ 'running_wheel_supply_voltage': TimeSeries(
│ │ │ hdf5_path='/acquisition/running_wheel_supply_voltage',
│ │ │ name='running_wheel_supply_voltage',
│ │ │ description='no description',
│ │ │ comments='no comments',
│ │ │ data=TimeSeriesData(
│ │ │ │ hdf5_path='/acquisition/running_wheel_supply_voltage/data',
│ │ │ │ object_id=None,
│ │ │ │ name='data',
│ │ │ │ conversion=1.0,
│ │ │ │ resolution=-1.0,
│ │ │ │ unit='V',
│ │ │ │ array=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x1249310d0>
│ │ │ ),
│ │ │ starting_time=None,
│ │ │ timestamps=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x123abd2d0>,
│ │ │ control=None,
│ │ │ control_description=None,
│ │ │ sync=None
│ │ )
│ },
│ analysis={},
│ scratch={},
│ processing={
│ │ 'eye_tracking': ProcessingModule(
│ │ │ hdf5_path='/processing/eye_tracking',
│ │ │ name='eye_tracking',
│ │ │ children={
│ │ │ │ 'cr_ellipse_fits': cr_ellipse_fits(
│ │ │ │ │ hdf5_path='/processing/eye_tracking/cr_ellipse_fits',
│ │ │ │ │ name='cr_ellipse_fits',
│ │ │ │ │ colnames=array(['center_x', 'center_y', 'height', 'phi', 'width', 'timestamps'],
│ dtype=object),
│ │ │ │ │ description='',
│ │ │ │ │ id=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ center_x=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ center_y=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ height=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ phi=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ width=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ timestamps=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ vector_data=[],
│ │ │ │ │ vector_index=[]
│ │ │ │ ),
│ │ │ │ 'eye_ellipse_fits': eye_ellipse_fits(
│ │ │ │ │ hdf5_path='/processing/eye_tracking/eye_ellipse_fits',
│ │ │ │ │ name='eye_ellipse_fits',
│ │ │ │ │ colnames=array(['center_x', 'center_y', 'height', 'phi', 'width', 'timestamps'],
│ dtype=object),
│ │ │ │ │ description='',
│ │ │ │ │ id=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ center_x=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ center_y=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ height=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ phi=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ width=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ timestamps=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ vector_data=[],
│ │ │ │ │ vector_index=[]
│ │ │ │ ),
│ │ │ │ 'pupil_ellipse_fits': pupil_ellipse_fits(
│ │ │ │ │ hdf5_path='/processing/eye_tracking/pupil_ellipse_fits',
│ │ │ │ │ name='pupil_ellipse_fits',
│ │ │ │ │ colnames=array(['center_x', 'center_y', 'height', 'phi', 'width', 'timestamps'],
│ dtype=object),
│ │ │ │ │ description='',
│ │ │ │ │ id=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ center_x=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ center_y=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ height=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ phi=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ width=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ timestamps=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ vector_data=[],
│ │ │ │ │ vector_index=[]
│ │ │ │ )
│ │ │ }
│ │ ),
│ │ 'eye_tracking_rig_metadata': ProcessingModule(
│ │ │ hdf5_path='/processing/eye_tracking_rig_metadata',
│ │ │ name='eye_tracking_rig_metadata',
│ │ │ children={
│ │ │ │ 'eye_tracking_rig_metadata': EcephysEyeTrackingRigMetadata(
│ │ │ │ │ hdf5_path='/processing/eye_tracking_rig_metadata/eye_tracking_rig_metadata',
│ │ │ │ │ name='eye_tracking_rig_metadata',
│ │ │ │ │ equipment='NP.1',
│ │ │ │ │ monitor_position=EcephysEyeTrackingRigMetadataMonitorPosition(
│ │ │ │ │ │ hdf5_path='/processing/eye_tracking_rig_metadata/eye_tracking_rig_metadata/monitor_position',
│ │ │ │ │ │ object_id=None,
│ │ │ │ │ │ name='monitor_position',
│ │ │ │ │ │ unit='mm',
│ │ │ │ │ │ array=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c4f9d0>
│ │ │ │ │ ),
│ │ │ │ │ camera_position=EcephysEyeTrackingRigMetadataCameraPosition(
│ │ │ │ │ │ hdf5_path='/processing/eye_tracking_rig_metadata/eye_tracking_rig_metadata/camera_position',
│ │ │ │ │ │ object_id=None,
│ │ │ │ │ │ name='camera_position',
│ │ │ │ │ │ unit='mm',
│ │ │ │ │ │ array=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c30c50>
│ │ │ │ │ ),
│ │ │ │ │ led_position=EcephysEyeTrackingRigMetadataLedPosition(
│ │ │ │ │ │ hdf5_path='/processing/eye_tracking_rig_metadata/eye_tracking_rig_metadata/led_position',
│ │ │ │ │ │ object_id=None,
│ │ │ │ │ │ name='led_position',
│ │ │ │ │ │ unit='mm',
│ │ │ │ │ │ array=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c4c090>
│ │ │ │ │ ),
│ │ │ │ │ monitor_rotation=EcephysEyeTrackingRigMetadataMonitorRotation(
│ │ │ │ │ │ hdf5_path='/processing/eye_tracking_rig_metadata/eye_tracking_rig_metadata/monitor_rotation',
│ │ │ │ │ │ object_id=None,
│ │ │ │ │ │ name='monitor_rotation',
│ │ │ │ │ │ unit='deg',
│ │ │ │ │ │ array=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c4fad0>
│ │ │ │ │ ),
│ │ │ │ │ camera_rotation=EcephysEyeTrackingRigMetadataCameraRotation(
│ │ │ │ │ │ hdf5_path='/processing/eye_tracking_rig_metadata/eye_tracking_rig_metadata/camera_rotation',
│ │ │ │ │ │ object_id=None,
│ │ │ │ │ │ name='camera_rotation',
│ │ │ │ │ │ unit='deg',
│ │ │ │ │ │ array=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c4cfd0>
│ │ │ │ │ )
│ │ │ │ )
│ │ │ }
│ │ ),
│ │ 'filtered_gaze_mapping': ProcessingModule(
│ │ │ hdf5_path='/processing/filtered_gaze_mapping',
│ │ │ name='filtered_gaze_mapping',
│ │ │ children={
│ │ │ │ 'eye_area': TimeSeries(
│ │ │ │ │ hdf5_path='/processing/filtered_gaze_mapping/eye_area',
│ │ │ │ │ name='eye_area',
│ │ │ │ │ description='no description',
│ │ │ │ │ comments='no comments',
│ │ │ │ │ data=TimeSeriesData(
│ │ │ │ │ │ hdf5_path='/processing/filtered_gaze_mapping/eye_area/data',
│ │ │ │ │ │ object_id=None,
│ │ │ │ │ │ name='data',
│ │ │ │ │ │ conversion=1.0,
│ │ │ │ │ │ resolution=-1.0,
│ │ │ │ │ │ unit='Pixels ^ 2',
│ │ │ │ │ │ array=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c4fd50>
│ │ │ │ │ ),
│ │ │ │ │ starting_time=None,
│ │ │ │ │ timestamps=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c606d0>,
│ │ │ │ │ control=None,
│ │ │ │ │ control_description=None,
│ │ │ │ │ sync=None
│ │ │ │ ),
│ │ │ │ 'pupil_area': TimeSeries(
│ │ │ │ │ hdf5_path='/processing/filtered_gaze_mapping/pupil_area',
│ │ │ │ │ name='pupil_area',
│ │ │ │ │ description='no description',
│ │ │ │ │ comments='no comments',
│ │ │ │ │ data=TimeSeriesData(
│ │ │ │ │ │ hdf5_path='/processing/filtered_gaze_mapping/pupil_area/data',
│ │ │ │ │ │ object_id=None,
│ │ │ │ │ │ name='data',
│ │ │ │ │ │ conversion=1.0,
│ │ │ │ │ │ resolution=-1.0,
│ │ │ │ │ │ unit='Pixels ^ 2',
│ │ │ │ │ │ array=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c60990>
│ │ │ │ │ ),
│ │ │ │ │ starting_time=None,
│ │ │ │ │ timestamps=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c60d50>,
│ │ │ │ │ control=None,
│ │ │ │ │ control_description=None,
│ │ │ │ │ sync=None
│ │ │ │ ),
│ │ │ │ 'screen_coordinates': TimeSeries(
│ │ │ │ │ hdf5_path='/processing/filtered_gaze_mapping/screen_coordinates',
│ │ │ │ │ name='screen_coordinates',
│ │ │ │ │ description='no description',
│ │ │ │ │ comments='no comments',
│ │ │ │ │ data=TimeSeriesData(
│ │ │ │ │ │ hdf5_path='/processing/filtered_gaze_mapping/screen_coordinates/data',
│ │ │ │ │ │ object_id=None,
│ │ │ │ │ │ name='data',
│ │ │ │ │ │ conversion=1.0,
│ │ │ │ │ │ resolution=-1.0,
│ │ │ │ │ │ unit='Centimeters',
│ │ │ │ │ │ array=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c612d0>
│ │ │ │ │ ),
│ │ │ │ │ starting_time=None,
│ │ │ │ │ timestamps=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c615d0>,
│ │ │ │ │ control=None,
│ │ │ │ │ control_description=None,
│ │ │ │ │ sync=None
│ │ │ │ ),
│ │ │ │ 'screen_coordinates_spherical': TimeSeries(
│ │ │ │ │ hdf5_path='/processing/filtered_gaze_mapping/screen_coordinates_spherical',
│ │ │ │ │ name='screen_coordinates_spherical',
│ │ │ │ │ description='no description',
│ │ │ │ │ comments='no comments',
│ │ │ │ │ data=TimeSeriesData(
│ │ │ │ │ │ hdf5_path='/processing/filtered_gaze_mapping/screen_coordinates_spherical/data',
│ │ │ │ │ │ object_id=None,
│ │ │ │ │ │ name='data',
│ │ │ │ │ │ conversion=1.0,
│ │ │ │ │ │ resolution=-1.0,
│ │ │ │ │ │ unit='Degrees',
│ │ │ │ │ │ array=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c61a10>
│ │ │ │ │ ),
│ │ │ │ │ starting_time=None,
│ │ │ │ │ timestamps=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c61d10>,
│ │ │ │ │ control=None,
│ │ │ │ │ control_description=None,
│ │ │ │ │ sync=None
│ │ │ │ )
│ │ │ }
│ │ ),
│ │ 'optotagging': ProcessingModule(
│ │ │ hdf5_path='/processing/optotagging',
│ │ │ name='optotagging',
│ │ │ children={
│ │ │ │ 'optogenetic_stimulation': optogenetic_stimulation(
│ │ │ │ │ hdf5_path='/processing/optotagging/optogenetic_stimulation',
│ │ │ │ │ name='optogenetic_stimulation',
│ │ │ │ │ colnames=array(['start_time', 'condition', 'level', 'stop_time', 'stimulus_name',
│ 'duration', 'tags', 'timeseries'], dtype=object),
│ │ │ │ │ description='',
│ │ │ │ │ id=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ start_time=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ stop_time=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ tags=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c72c50>,
│ │ │ │ │ tags_index=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ timeseries=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c72490>,
│ │ │ │ │ timeseries_index=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ condition=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c71990>,
│ │ │ │ │ level=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ stimulus_name=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c70a90>,
│ │ │ │ │ duration=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ │ │ vector_data=[],
│ │ │ │ │ vector_index=[]
│ │ │ │ ),
│ │ │ │ 'optotagging': TimeSeries(
│ │ │ │ │ hdf5_path='/processing/optotagging/optotagging',
│ │ │ │ │ name='optotagging',
│ │ │ │ │ description='no description',
│ │ │ │ │ comments='no comments',
│ │ │ │ │ data=TimeSeriesData(
│ │ │ │ │ │ hdf5_path='/processing/optotagging/optotagging/data',
│ │ │ │ │ │ object_id=None,
│ │ │ │ │ │ name='data',
│ │ │ │ │ │ conversion=1.0,
│ │ │ │ │ │ resolution=-1.0,
│ │ │ │ │ │ unit='seconds',
│ │ │ │ │ │ array=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c63710>
│ │ │ │ │ ),
│ │ │ │ │ starting_time=None,
│ │ │ │ │ timestamps=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c7c3d0>,
│ │ │ │ │ control=None,
│ │ │ │ │ control_description=None,
│ │ │ │ │ sync=None
│ │ │ │ )
│ │ │ }
│ │ ),
│ │ 'raw_gaze_mapping': ProcessingModule(
│ │ │ hdf5_path='/processing/raw_gaze_mapping',
│ │ │ name='raw_gaze_mapping',
│ │ │ children={
│ │ │ │ 'eye_area': TimeSeries(
│ │ │ │ │ hdf5_path='/processing/raw_gaze_mapping/eye_area',
│ │ │ │ │ name='eye_area',
│ │ │ │ │ description='no description',
│ │ │ │ │ comments='no comments',
│ │ │ │ │ data=TimeSeriesData(
│ │ │ │ │ │ hdf5_path='/processing/raw_gaze_mapping/eye_area/data',
│ │ │ │ │ │ object_id=None,
│ │ │ │ │ │ name='data',
│ │ │ │ │ │ conversion=1.0,
│ │ │ │ │ │ resolution=-1.0,
│ │ │ │ │ │ unit='Pixels ^ 2',
│ │ │ │ │ │ array=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124b6bb50>
│ │ │ │ │ ),
│ │ │ │ │ starting_time=None,
│ │ │ │ │ timestamps=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c33850>,
│ │ │ │ │ control=None,
│ │ │ │ │ control_description=None,
│ │ │ │ │ sync=None
│ │ │ │ ),
│ │ │ │ 'pupil_area': TimeSeries(
│ │ │ │ │ hdf5_path='/processing/raw_gaze_mapping/pupil_area',
│ │ │ │ │ name='pupil_area',
│ │ │ │ │ description='no description',
│ │ │ │ │ comments='no comments',
│ │ │ │ │ data=TimeSeriesData(
│ │ │ │ │ │ hdf5_path='/processing/raw_gaze_mapping/pupil_area/data',
│ │ │ │ │ │ object_id=None,
│ │ │ │ │ │ name='data',
│ │ │ │ │ │ conversion=1.0,
│ │ │ │ │ │ resolution=-1.0,
│ │ │ │ │ │ unit='Pixels ^ 2',
│ │ │ │ │ │ array=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a80150>
│ │ │ │ │ ),
│ │ │ │ │ starting_time=None,
│ │ │ │ │ timestamps=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c40190>,
│ │ │ │ │ control=None,
│ │ │ │ │ control_description=None,
│ │ │ │ │ sync=None
│ │ │ │ ),
│ │ │ │ 'screen_coordinates': TimeSeries(
│ │ │ │ │ hdf5_path='/processing/raw_gaze_mapping/screen_coordinates',
│ │ │ │ │ name='screen_coordinates',
│ │ │ │ │ description='no description',
│ │ │ │ │ comments='no comments',
│ │ │ │ │ data=TimeSeriesData(
│ │ │ │ │ │ hdf5_path='/processing/raw_gaze_mapping/screen_coordinates/data',
│ │ │ │ │ │ object_id=None,
│ │ │ │ │ │ name='data',
│ │ │ │ │ │ conversion=1.0,
│ │ │ │ │ │ resolution=-1.0,
│ │ │ │ │ │ unit='Centimeters',
│ │ │ │ │ │ array=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c41110>
│ │ │ │ │ ),
│ │ │ │ │ starting_time=None,
│ │ │ │ │ timestamps=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124b92390>,
│ │ │ │ │ control=None,
│ │ │ │ │ control_description=None,
│ │ │ │ │ sync=None
│ │ │ │ ),
│ │ │ │ 'screen_coordinates_spherical': TimeSeries(
│ │ │ │ │ hdf5_path='/processing/raw_gaze_mapping/screen_coordinates_spherical',
│ │ │ │ │ name='screen_coordinates_spherical',
│ │ │ │ │ description='no description',
│ │ │ │ │ comments='no comments',
│ │ │ │ │ data=TimeSeriesData(
│ │ │ │ │ │ hdf5_path='/processing/raw_gaze_mapping/screen_coordinates_spherical/data',
│ │ │ │ │ │ object_id=None,
│ │ │ │ │ │ name='data',
│ │ │ │ │ │ conversion=1.0,
│ │ │ │ │ │ resolution=-1.0,
│ │ │ │ │ │ unit='Degrees',
│ │ │ │ │ │ array=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124b91ed0>
│ │ │ │ │ ),
│ │ │ │ │ starting_time=None,
│ │ │ │ │ timestamps=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124b93d10>,
│ │ │ │ │ control=None,
│ │ │ │ │ control_description=None,
│ │ │ │ │ sync=None
│ │ │ │ )
│ │ │ }
│ │ ),
│ │ 'running': ProcessingModule(
│ │ │ hdf5_path='/processing/running',
│ │ │ name='running',
│ │ │ children={
│ │ │ │ 'running_speed': TimeSeries(
│ │ │ │ │ hdf5_path='/processing/running/running_speed',
│ │ │ │ │ name='running_speed',
│ │ │ │ │ description='no description',
│ │ │ │ │ comments='no comments',
│ │ │ │ │ data=TimeSeriesData(
│ │ │ │ │ │ hdf5_path='/processing/running/running_speed/data',
│ │ │ │ │ │ object_id=None,
│ │ │ │ │ │ name='data',
│ │ │ │ │ │ conversion=1.0,
│ │ │ │ │ │ resolution=-1.0,
│ │ │ │ │ │ unit='cm/s',
│ │ │ │ │ │ array=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124b91f50>
│ │ │ │ │ ),
│ │ │ │ │ starting_time=None,
│ │ │ │ │ timestamps=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c96490>,
│ │ │ │ │ control=None,
│ │ │ │ │ control_description=None,
│ │ │ │ │ sync=None
│ │ │ │ ),
│ │ │ │ 'running_speed_end_times': TimeSeries(
│ │ │ │ │ hdf5_path='/processing/running/running_speed_end_times',
│ │ │ │ │ name='running_speed_end_times',
│ │ │ │ │ description='no description',
│ │ │ │ │ comments='no comments',
│ │ │ │ │ data=TimeSeriesData(
│ │ │ │ │ │ hdf5_path='/processing/running/running_speed_end_times/data',
│ │ │ │ │ │ object_id=None,
│ │ │ │ │ │ name='data',
│ │ │ │ │ │ conversion=1.0,
│ │ │ │ │ │ resolution=-1.0,
│ │ │ │ │ │ unit='cm/s',
│ │ │ │ │ │ array=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c95a50>
│ │ │ │ │ ),
│ │ │ │ │ starting_time=None,
│ │ │ │ │ timestamps=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c95610>,
│ │ │ │ │ control=None,
│ │ │ │ │ control_description=None,
│ │ │ │ │ sync=None
│ │ │ │ ),
│ │ │ │ 'running_wheel_rotation': TimeSeries(
│ │ │ │ │ hdf5_path='/processing/running/running_wheel_rotation',
│ │ │ │ │ name='running_wheel_rotation',
│ │ │ │ │ description='no description',
│ │ │ │ │ comments='no comments',
│ │ │ │ │ data=TimeSeriesData(
│ │ │ │ │ │ hdf5_path='/processing/running/running_wheel_rotation/data',
│ │ │ │ │ │ object_id=None,
│ │ │ │ │ │ name='data',
│ │ │ │ │ │ conversion=1.0,
│ │ │ │ │ │ resolution=-1.0,
│ │ │ │ │ │ unit='radians',
│ │ │ │ │ │ array=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c94b10>
│ │ │ │ │ ),
│ │ │ │ │ starting_time=None,
│ │ │ │ │ timestamps=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c96490>,
│ │ │ │ │ control=None,
│ │ │ │ │ control_description=None,
│ │ │ │ │ sync=None
│ │ │ │ )
│ │ │ }
│ │ ),
│ │ 'stimulus': ProcessingModule(
│ │ │ hdf5_path='/processing/stimulus',
│ │ │ name='stimulus',
│ │ │ children={
│ │ │ │ 'timestamps': TimeSeries(
│ │ │ │ │ hdf5_path='/processing/stimulus/timestamps',
│ │ │ │ │ name='timestamps',
│ │ │ │ │ description='no description',
│ │ │ │ │ comments='no comments',
│ │ │ │ │ data=TimeSeriesData(
│ │ │ │ │ │ hdf5_path='/processing/stimulus/timestamps/data',
│ │ │ │ │ │ object_id=None,
│ │ │ │ │ │ name='data',
│ │ │ │ │ │ conversion=1.0,
│ │ │ │ │ │ resolution=-1.0,
│ │ │ │ │ │ unit='s',
│ │ │ │ │ │ array=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c97d10>
│ │ │ │ │ ),
│ │ │ │ │ starting_time=None,
│ │ │ │ │ timestamps=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124c96910>,
│ │ │ │ │ control=None,
│ │ │ │ │ control_description=None,
│ │ │ │ │ sync=None
│ │ │ │ )
│ │ │ }
│ │ )
│ },
│ stimulus=NWBFileStimulus(
│ │ hdf5_path=None,
│ │ object_id=None,
│ │ name='stimulus',
│ │ presentation={},
│ │ templates={}
│ ),
│ general=NWBFileGeneral(
│ │ hdf5_path=None,
│ │ object_id=None,
│ │ name='general',
│ │ data_collection=None,
│ │ experiment_description=None,
│ │ experimenter=None,
│ │ institution='Allen Institute for Brain Science',
│ │ keywords=None,
│ │ lab=None,
│ │ notes=None,
│ │ pharmacology=None,
│ │ protocol=None,
│ │ related_publications=None,
│ │ session_id='760693773',
│ │ slices=None,
│ │ source_script=None,
│ │ stimulus='brain_observatory_1.1',
│ │ surgery=None,
│ │ virus=None,
│ │ nwb_container=[],
│ │ devices={
│ │ │ 'probeA': EcephysProbe(
│ │ │ │ hdf5_path='/general/devices/probeA',
│ │ │ │ name='probeA',
│ │ │ │ description=None,
│ │ │ │ manufacturer=None,
│ │ │ │ sampling_rate=29999.9700560591,
│ │ │ │ probe_id=769322820
│ │ │ ),
│ │ │ 'probeB': EcephysProbe(
│ │ │ │ hdf5_path='/general/devices/probeB',
│ │ │ │ name='probeB',
│ │ │ │ description=None,
│ │ │ │ manufacturer=None,
│ │ │ │ sampling_rate=29999.9195957425,
│ │ │ │ probe_id=769322824
│ │ │ ),
│ │ │ 'probeC': EcephysProbe(
│ │ │ │ hdf5_path='/general/devices/probeC',
│ │ │ │ name='probeC',
│ │ │ │ description=None,
│ │ │ │ manufacturer=None,
│ │ │ │ sampling_rate=29999.9985048795,
│ │ │ │ probe_id=769322827
│ │ │ ),
│ │ │ 'probeD': EcephysProbe(
│ │ │ │ hdf5_path='/general/devices/probeD',
│ │ │ │ name='probeD',
│ │ │ │ description=None,
│ │ │ │ manufacturer=None,
│ │ │ │ sampling_rate=29999.9228144047,
│ │ │ │ probe_id=769322829
│ │ │ ),
│ │ │ 'probeE': EcephysProbe(
│ │ │ │ hdf5_path='/general/devices/probeE',
│ │ │ │ name='probeE',
│ │ │ │ description=None,
│ │ │ │ manufacturer=None,
│ │ │ │ sampling_rate=30000.0007890914,
│ │ │ │ probe_id=769322831
│ │ │ ),
│ │ │ 'probeF': EcephysProbe(
│ │ │ │ hdf5_path='/general/devices/probeF',
│ │ │ │ name='probeF',
│ │ │ │ description=None,
│ │ │ │ manufacturer=None,
│ │ │ │ sampling_rate=30000.0428393552,
│ │ │ │ probe_id=769322833
│ │ │ )
│ │ },
│ │ subject=EcephysSpecimen(
│ │ │ hdf5_path='/general/subject',
│ │ │ name='subject',
│ │ │ age='P110D',
│ │ │ date_of_birth=None,
│ │ │ description=None,
│ │ │ genotype='Sst-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt',
│ │ │ sex='F',
│ │ │ species='Mus musculus',
│ │ │ subject_id='738651046',
│ │ │ weight=None,
│ │ │ specimen_name='Sst-IRES-Cre;Ai32-406808',
│ │ │ age_in_days=110.0,
│ │ │ strain='C57BL/6J'
│ │ ),
│ │ extracellular_ephys=NWBFileGeneralExtracellularEphys(
│ │ │ hdf5_path=None,
│ │ │ object_id=None,
│ │ │ name='extracellular_ephys',
│ │ │ electrode_group=[
│ │ │ │ EcephysElectrodeGroup(
│ │ │ │ │ hdf5_path='/general/extracellular_ephys/probeA',
│ │ │ │ │ name='probeA',
│ │ │ │ │ description='Ecephys Electrode Group',
│ │ │ │ │ location='See electrode locations',
│ │ │ │ │ position=None,
│ │ │ │ │ has_lfp_data=True,
│ │ │ │ │ probe_id=769322820,
│ │ │ │ │ lfp_sampling_rate=1249.998752335795
│ │ │ │ ),
│ │ │ │ EcephysElectrodeGroup(
│ │ │ │ │ hdf5_path='/general/extracellular_ephys/probeB',
│ │ │ │ │ name='probeB',
│ │ │ │ │ description='Ecephys Electrode Group',
│ │ │ │ │ location='See electrode locations',
│ │ │ │ │ position=None,
│ │ │ │ │ has_lfp_data=True,
│ │ │ │ │ probe_id=769322824,
│ │ │ │ │ lfp_sampling_rate=1249.996649822605
│ │ │ │ ),
│ │ │ │ EcephysElectrodeGroup(
│ │ │ │ │ hdf5_path='/general/extracellular_ephys/probeC',
│ │ │ │ │ name='probeC',
│ │ │ │ │ description='Ecephys Electrode Group',
│ │ │ │ │ location='See electrode locations',
│ │ │ │ │ position=None,
│ │ │ │ │ has_lfp_data=True,
│ │ │ │ │ probe_id=769322827,
│ │ │ │ │ lfp_sampling_rate=1249.999937703315
│ │ │ │ ),
│ │ │ │ EcephysElectrodeGroup(
│ │ │ │ │ hdf5_path='/general/extracellular_ephys/probeD',
│ │ │ │ │ name='probeD',
│ │ │ │ │ description='Ecephys Electrode Group',
│ │ │ │ │ location='See electrode locations',
│ │ │ │ │ position=None,
│ │ │ │ │ has_lfp_data=True,
│ │ │ │ │ probe_id=769322829,
│ │ │ │ │ lfp_sampling_rate=1249.99678393353
│ │ │ │ ),
│ │ │ │ EcephysElectrodeGroup(
│ │ │ │ │ hdf5_path='/general/extracellular_ephys/probeE',
│ │ │ │ │ name='probeE',
│ │ │ │ │ description='Ecephys Electrode Group',
│ │ │ │ │ location='See electrode locations',
│ │ │ │ │ position=None,
│ │ │ │ │ has_lfp_data=True,
│ │ │ │ │ probe_id=769322831,
│ │ │ │ │ lfp_sampling_rate=1250.000032878805
│ │ │ │ ),
│ │ │ │ EcephysElectrodeGroup(
│ │ │ │ │ hdf5_path='/general/extracellular_ephys/probeF',
│ │ │ │ │ name='probeF',
│ │ │ │ │ description='Ecephys Electrode Group',
│ │ │ │ │ location='See electrode locations',
│ │ │ │ │ position=None,
│ │ │ │ │ has_lfp_data=True,
│ │ │ │ │ probe_id=769322833,
│ │ │ │ │ lfp_sampling_rate=1250.00178497313
│ │ │ │ )
│ │ │ ],
│ │ │ electrodes=NWBFileGeneralExtracellularEphysElectrodes(
│ │ │ │ hdf5_path=None,
│ │ │ │ name='electrodes',
│ │ │ │ colnames=None,
│ │ │ │ description=None,
│ │ │ │ vector_data=[],
│ │ │ │ vector_index=[],
│ │ │ │ x=[],
│ │ │ │ y=[],
│ │ │ │ z=[],
│ │ │ │ imp=[],
│ │ │ │ location=[],
│ │ │ │ filtering=[],
│ │ │ │ group=[],
│ │ │ │ group_name=[],
│ │ │ │ rel_x=[],
│ │ │ │ rel_y=[],
│ │ │ │ rel_z=[],
│ │ │ │ reference=[]
│ │ │ )
│ │ ),
│ │ intracellular_ephys=None,
│ │ optogenetics={},
│ │ optophysiology={}
│ ),
│ intervals={
│ │ 'drifting_gratings_presentations': drifting_gratings_presentations(
│ │ │ hdf5_path='/intervals/drifting_gratings_presentations',
│ │ │ name='drifting_gratings_presentations',
│ │ │ colnames=array(['start_time', 'stop_time', 'stimulus_name', 'stimulus_block',
│ 'temporal_frequency', 'color', 'mask', 'opacity', 'phase', 'size',
│ 'units', 'stimulus_index', 'orientation', 'spatial_frequency',
│ 'contrast', 'tags', 'timeseries'], dtype=object),
│ │ │ description="Presentation times and stimuli details for 'drifting_gratings' stimuli",
│ │ │ id=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ start_time=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ stop_time=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ tags=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a23950>,
│ │ │ tags_index=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ timeseries=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a23310>,
│ │ │ timeseries_index=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ stimulus_name=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a22d50>,
│ │ │ stimulus_block=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ temporal_frequency=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ color=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a21bd0>,
│ │ │ mask=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a21910>,
│ │ │ opacity=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ phase=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a20d10>,
│ │ │ size=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a20ad0>,
│ │ │ units=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a20cd0>,
│ │ │ stimulus_index=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ orientation=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ spatial_frequency=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a0fd90>,
│ │ │ contrast=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ vector_data=[],
│ │ │ vector_index=[]
│ │ ),
│ │ 'flashes_presentations': flashes_presentations(
│ │ │ hdf5_path='/intervals/flashes_presentations',
│ │ │ name='flashes_presentations',
│ │ │ colnames=array(['start_time', 'stop_time', 'stimulus_name', 'stimulus_block',
│ 'color', 'mask', 'opacity', 'phase', 'size', 'units',
│ 'stimulus_index', 'orientation', 'spatial_frequency', 'contrast',
│ 'tags', 'timeseries'], dtype=object),
│ │ │ description="Presentation times and stimuli details for 'flashes' stimuli",
│ │ │ id=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ start_time=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ stop_time=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ tags=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a7e490>,
│ │ │ tags_index=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ timeseries=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a7db50>,
│ │ │ timeseries_index=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ stimulus_name=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a7cf10>,
│ │ │ stimulus_block=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ color=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a7c890>,
│ │ │ mask=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a7c5d0>,
│ │ │ opacity=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ phase=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a563d0>,
│ │ │ size=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a56050>,
│ │ │ units=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a5da90>,
│ │ │ stimulus_index=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ orientation=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ spatial_frequency=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124ac0b50>,
│ │ │ contrast=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ vector_data=[],
│ │ │ vector_index=[]
│ │ ),
│ │ 'gabors_presentations': gabors_presentations(
│ │ │ hdf5_path='/intervals/gabors_presentations',
│ │ │ name='gabors_presentations',
│ │ │ colnames=array(['start_time', 'stop_time', 'stimulus_name', 'stimulus_block',
│ 'temporal_frequency', 'x_position', 'y_position', 'color', 'mask',
│ 'opacity', 'phase', 'size', 'units', 'stimulus_index',
│ 'orientation', 'spatial_frequency', 'contrast', 'tags',
│ 'timeseries'], dtype=object),
│ │ │ description="Presentation times and stimuli details for 'gabors' stimuli",
│ │ │ id=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ start_time=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ stop_time=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ tags=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124adfb10>,
│ │ │ tags_index=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ timeseries=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124adead0>,
│ │ │ timeseries_index=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ stimulus_name=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124ade890>,
│ │ │ stimulus_block=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ temporal_frequency=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ x_position=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ y_position=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ color=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124acb750>,
│ │ │ mask=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124acb650>,
│ │ │ opacity=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ phase=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124aca6d0>,
│ │ │ size=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124aca410>,
│ │ │ units=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124aca150>,
│ │ │ stimulus_index=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ orientation=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ spatial_frequency=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124ab7510>,
│ │ │ contrast=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ vector_data=[],
│ │ │ vector_index=[]
│ │ ),
│ │ 'natural_movie_one_presentations': natural_movie_one_presentations(
│ │ │ hdf5_path='/intervals/natural_movie_one_presentations',
│ │ │ name='natural_movie_one_presentations',
│ │ │ colnames=array(['start_time', 'stop_time', 'stimulus_name', 'stimulus_block',
│ 'color', 'opacity', 'size', 'units', 'stimulus_index',
│ 'orientation', 'frame', 'contrast', 'tags', 'timeseries'],
│ dtype=object),
│ │ │ description="Presentation times and stimuli details for 'natural_movie_one' stimuli",
│ │ │ id=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ start_time=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ stop_time=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ tags=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124b0cb50>,
│ │ │ tags_index=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ timeseries=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a23ed0>,
│ │ │ timeseries_index=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ stimulus_name=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124b1aad0>,
│ │ │ stimulus_block=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ color=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124b1b090>,
│ │ │ opacity=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ size=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a82d50>,
│ │ │ units=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a83210>,
│ │ │ stimulus_index=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ orientation=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ frame=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ contrast=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ vector_data=[],
│ │ │ vector_index=[]
│ │ ),
│ │ 'natural_movie_three_presentations': natural_movie_three_presentations(
│ │ │ hdf5_path='/intervals/natural_movie_three_presentations',
│ │ │ name='natural_movie_three_presentations',
│ │ │ colnames=array(['start_time', 'stop_time', 'stimulus_name', 'stimulus_block',
│ 'color', 'opacity', 'size', 'units', 'stimulus_index',
│ 'orientation', 'frame', 'contrast', 'tags', 'timeseries'],
│ dtype=object),
│ │ │ description="Presentation times and stimuli details for 'natural_movie_three' stimuli",
│ │ │ id=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ start_time=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ stop_time=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ tags=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a29e50>,
│ │ │ tags_index=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ timeseries=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a28510>,
│ │ │ timeseries_index=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ stimulus_name=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a29c50>,
│ │ │ stimulus_block=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ color=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a29450>,
│ │ │ opacity=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ size=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a2a7d0>,
│ │ │ units=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124a280d0>,
│ │ │ stimulus_index=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ orientation=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ frame=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ contrast=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ vector_data=[],
│ │ │ vector_index=[]
│ │ ),
│ │ 'natural_scenes_presentations': natural_scenes_presentations(
│ │ │ hdf5_path='/intervals/natural_scenes_presentations',
│ │ │ name='natural_scenes_presentations',
│ │ │ colnames=array(['start_time', 'stop_time', 'stimulus_name', 'stimulus_block',
│ 'stimulus_index', 'frame', 'tags', 'timeseries'], dtype=object),
│ │ │ description="Presentation times and stimuli details for 'natural_scenes' stimuli",
│ │ │ id=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ start_time=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ stop_time=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ tags=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124b75550>,
│ │ │ tags_index=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ timeseries=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124b75ed0>,
│ │ │ timeseries_index=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ stimulus_name=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124b53310>,
│ │ │ stimulus_block=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ stimulus_index=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ frame=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ vector_data=[],
│ │ │ vector_index=[]
│ │ ),
│ │ 'spontaneous_presentations': spontaneous_presentations(
│ │ │ hdf5_path='/intervals/spontaneous_presentations',
│ │ │ name='spontaneous_presentations',
│ │ │ colnames=array(['start_time', 'stop_time', 'stimulus_name', 'tags', 'timeseries'],
│ dtype=object),
│ │ │ description="Presentation times and stimuli details for 'spontaneous' stimuli",
│ │ │ id=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ start_time=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ stop_time=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ tags=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124ba7050>,
│ │ │ tags_index=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ timeseries=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124bbe290>,
│ │ │ timeseries_index=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ stimulus_name=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124bbcb10>,
│ │ │ vector_data=[],
│ │ │ vector_index=[]
│ │ ),
│ │ 'static_gratings_presentations': static_gratings_presentations(
│ │ │ hdf5_path='/intervals/static_gratings_presentations',
│ │ │ name='static_gratings_presentations',
│ │ │ colnames=array(['start_time', 'stop_time', 'stimulus_name', 'stimulus_block',
│ 'color', 'mask', 'opacity', 'phase', 'size', 'units',
│ 'stimulus_index', 'orientation', 'spatial_frequency', 'contrast',
│ 'tags', 'timeseries'], dtype=object),
│ │ │ description="Presentation times and stimuli details for 'static_gratings' stimuli",
│ │ │ id=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ start_time=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ stop_time=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ tags=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124bbef90>,
│ │ │ tags_index=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ timeseries=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124bbf090>,
│ │ │ timeseries_index=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ stimulus_name=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124bbf890>,
│ │ │ stimulus_block=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ color=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124bbf510>,
│ │ │ mask=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124bbe790>,
│ │ │ opacity=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ phase=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124bc3290>,
│ │ │ size=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124bc0e50>,
│ │ │ units=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124bc0b90>,
│ │ │ stimulus_index=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ orientation=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ spatial_frequency=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ contrast=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ │ vector_data=[],
│ │ │ vector_index=[]
│ │ )
│ },
│ units=units(
│ │ hdf5_path='/units',
│ │ name='units',
│ │ colnames=array(['quality', 'amplitude_cutoff', 'recovery_slope', 'cluster_id',
│ 'spread', 'velocity_below', 'd_prime', 'nn_miss_rate',
│ 'isolation_distance', 'silhouette_score', 'waveform_halfwidth',
│ 'PT_ratio', 'cumulative_drift', 'isi_violations', 'presence_ratio',
│ 'snr', 'l_ratio', 'amplitude', 'repolarization_slope',
│ 'local_index', 'velocity_above', 'nn_hit_rate', 'peak_channel_id',
│ 'waveform_duration', 'firing_rate', 'max_drift', 'spike_times',
│ 'spike_amplitudes', 'waveform_mean'], dtype=object),
│ │ description='',
│ │ id=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ spike_times_index=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ spike_times=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ waveform_mean=dask.array<array, shape=(10, 82), dtype=float64, chunksize=(10, 82), chunktype=numpy.ndarray>,
│ │ quality=<nwb_linkml.types.ndarray.NDArrayProxy object at 0x124ce0250>,
│ │ amplitude_cutoff=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ recovery_slope=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ cluster_id=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ spread=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ velocity_below=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ d_prime=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ nn_miss_rate=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ isolation_distance=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ silhouette_score=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ waveform_halfwidth=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ PT_ratio=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ cumulative_drift=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ isi_violations=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ presence_ratio=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ snr=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ l_ratio=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ amplitude=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ repolarization_slope=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ local_index=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ velocity_above=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ nn_hit_rate=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ peak_channel_id=dask.array<array, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ waveform_duration=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ firing_rate=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ max_drift=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ spike_amplitudes=dask.array<array, shape=(10,), dtype=float64, chunksize=(10,), chunktype=numpy.ndarray>,
│ │ vector_data=[],
│ │ vector_index=[],
│ │ obs_intervals_index=None,
│ │ obs_intervals=None,
│ │ electrodes_index=None,
│ │ electrodes=None,
│ │ electrode_group=[],
│ │ waveform_sd=None
│ )
)
Reference in a new issue Copy permalink