77 lines
1.4 KiB
Python
77 lines
1.4 KiB
Python
__all__ = [
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"_download_all_example_data",
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"_fake",
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"brainstorm",
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"eegbci",
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"epilepsy_ecog",
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"erp_core",
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"eyelink",
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"fetch_aparc_sub_parcellation",
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"fetch_dataset",
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"fetch_fsaverage",
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"fetch_hcp_mmp_parcellation",
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"fetch_infant_template",
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"fetch_phantom",
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"fieldtrip_cmc",
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"fnirs_motor",
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"has_dataset",
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"hf_sef",
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"kiloword",
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"limo",
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"misc",
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"mtrf",
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"multimodal",
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"opm",
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"phantom_4dbti",
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"phantom_kernel",
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"phantom_kit",
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"refmeg_noise",
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"sample",
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"sleep_physionet",
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"somato",
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"spm_face",
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"ssvep",
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"testing",
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"ucl_opm_auditory",
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"visual_92_categories",
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]
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from . import (
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_fake,
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brainstorm,
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eegbci,
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epilepsy_ecog,
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erp_core,
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eyelink,
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fieldtrip_cmc,
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fnirs_motor,
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hf_sef,
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kiloword,
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limo,
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misc,
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mtrf,
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multimodal,
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opm,
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phantom_4dbti,
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phantom_kernel,
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phantom_kit,
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refmeg_noise,
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sample,
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sleep_physionet,
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somato,
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spm_face,
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ssvep,
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testing,
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ucl_opm_auditory,
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visual_92_categories,
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)
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from ._fetch import fetch_dataset
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from ._fsaverage.base import fetch_fsaverage
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from ._infant import fetch_infant_template
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from ._phantom.base import fetch_phantom
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from .utils import (
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_download_all_example_data,
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fetch_aparc_sub_parcellation,
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fetch_hcp_mmp_parcellation,
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has_dataset,
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)
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