cedalion.datasets

Cedalion datasets and utility functions.

Functions

get_colin27_headmodel()	Retrieves the Colin27 headmodel, based on Holmes et al. [HHC+98].
get_colin27_segmentation([downsampled])	Retrieves the Colin27 segmentation dataset, based on Holmes et al. [HHC+98].
get_fingertapping()	Retrieves a finger tapping recording in BIDS format.
get_fingertappingDOT()	Retrieves a finger tapping DOT example dataset from the IBS Lab.
get_fingertapping_snirf_path()
get_icbm152_segmentation()
get_imagereco_example_fluence()
get_multisubject_fingertapping_path()
get_multisubject_fingertapping_snirf_paths()
get_ninja_cap_probe()	Load the fullhead Ninja NIRS cap probe.
get_ninja_uhd_cap_probe()	Load the fullhead Ninja NIRS ultra HD cap probe.
get_ninjanirs_colin27_precomputed_fluence()
get_ninjanirs_colin27_precomputed_sensitivity()
get_nn22_resting_state()
get_photogrammetry_example_scan()
get_precomputed_fluence(dataset, head_model)	Precomputed forward model results for examples and documentation.
get_snirf_test_data()

cedalion.datasets.get_ninja_cap_probe()

Load the fullhead Ninja NIRS cap probe.

cedalion.datasets.get_ninja_uhd_cap_probe()

Load the fullhead Ninja NIRS ultra HD cap probe.

cedalion.datasets.get_snirf_test_data()

cedalion.datasets.get_colin27_segmentation(downsampled=False)

Retrieves the Colin27 segmentation dataset, based on Holmes et al. [HHC+98].

cedalion.datasets.get_colin27_headmodel()

Retrieves the Colin27 headmodel, based on Holmes et al. [HHC+98].

cedalion.datasets.get_icbm152_segmentation()

cedalion.datasets.get_fingertapping() → Recording

Retrieves a finger tapping recording in BIDS format.

Data is from Luke and McAlpine [LM21a]

cedalion.datasets.get_fingertappingDOT() → Recording

Retrieves a finger tapping DOT example dataset from the IBS Lab.

cedalion.datasets.get_fingertapping_snirf_path() → Path

cedalion.datasets.get_multisubject_fingertapping_snirf_paths()

cedalion.datasets.get_multisubject_fingertapping_path() → Path

cedalion.datasets.get_photogrammetry_example_scan()

cedalion.datasets.get_imagereco_example_fluence() → tuple[DataArray, DataArray]

cedalion.datasets.get_precomputed_fluence(

dataset: str,

head_model: str,

) → tuple[DataArray, DataArray]

Precomputed forward model results for examples and documentation.

Parameters:

• dataset – “fingertapping” or “fingertappingDOT”

• head_model – “colin27” or “icbm152”

Returns:

fluence_all, fluence_at_optodes

cedalion.datasets.get_ninjanirs_colin27_precomputed_fluence() → tuple[DataArray, DataArray]

cedalion.datasets.get_ninjanirs_colin27_precomputed_sensitivity() → Path

cedalion.datasets.get_nn22_resting_state() → Recording