.. This documentation page is generated during the Sphinx build. The underlying code is manually maintained and not autogenerated. eegdash.dataset.DS004194 ======================== task-prf_events.json (OpenNeuro ``ds004194``). Access recordings and metadata through EEGDash. .. rst-class:: sd-badges :bdg-light:`Modality: ['ieeg']` :bdg-light:`Tasks: 0` :bdg-light:`License: CC0` :bdg-light:`Subjects: 0` :bdg-light:`Recordings: 0` :bdg-light:`Source: openneuro` Dataset Information ------------------- .. list-table:: :widths: 25 75 :header-rows: 0 * - Dataset ID - ``DS004194`` * - Title - task-prf_events.json * - Year - 2022 * - Authors - Iris Groen, Kenichi Yuasa, Amber Brands, Giovanni Piantoni, Stephanie Montenegro, Adeen Flinker, Sasha Devore, Orrin Devinsky, Werner Doyle, Patricia Dugan, Daniel Friedman, Nick Ramsey, Natalia Petridou, Jonathan Winawer * - License - CC0 * - Citation / DOI - `doi:10.18112/openneuro.ds004194.v3.0.0 `__ * - Source links - `OpenNeuro `__ | `NeMAR `__ | `Source URL `__ .. dropdown:: Copy-paste BibTeX :class-container: sd-shadow-sm :class-title: sd-bg-light .. code-block:: bibtex @dataset{ds004194, title = {task-prf_events.json}, author = {Iris Groen and Kenichi Yuasa and Amber Brands and Giovanni Piantoni and Stephanie Montenegro and Adeen Flinker and Sasha Devore and Orrin Devinsky and Werner Doyle and Patricia Dugan and Daniel Friedman and Nick Ramsey and Natalia Petridou and Jonathan Winawer}, doi = {10.18112/openneuro.ds004194.v3.0.0}, url = {https://doi.org/10.18112/openneuro.ds004194.v3.0.0}, } Highlights ---------- .. grid:: 1 2 3 3 :gutter: 2 .. grid-item-card:: Subjects & recordings :class-card: sd-border-1 - Subjects: 0 - Recordings: 0 - Tasks: 0 .. grid-item-card:: Channels & sampling rate :class-card: sd-border-1 - Channels: 160 (10), 173 (20), 129 (10), 74 (12), 16 (14), 133 (20), 61 (6), 206 (12), 106 (7), 111 (10), 91 (10), 265 (66), 140 (12) - Sampling rate (Hz): 2048.0 (12), 512.0 (197) - Duration (hours): 0 .. grid-item-card:: Tasks & conditions :class-card: sd-border-1 - Tasks: 0 - Experiment type: Unknown - Subject type: Unknown .. grid-item-card:: Files & format :class-card: sd-border-1 - Size on disk: Unknown - File count: Unknown - Format: Unknown .. grid-item-card:: License & citation :class-card: sd-border-1 - License: CC0 - DOI: doi:10.18112/openneuro.ds004194.v3.0.0 .. grid-item-card:: Provenance :class-card: sd-border-1 - Source: openneuro - OpenNeuro: `ds004194 `__ - NeMAR: `ds004194 `__ Quickstart ---------- **Install** .. code-block:: bash pip install eegdash **Load a recording** .. code-block:: python from eegdash.dataset import DS004194 dataset = DS004194(cache_dir="./data") recording = dataset[0] raw = recording.load() **Filter/query** .. tab-set:: .. tab-item:: Basic .. code-block:: python dataset = DS004194(cache_dir="./data", subject="01") .. tab-item:: Advanced .. code-block:: python dataset = DS004194( cache_dir="./data", query={"subject": {"$in": ["01", "02"]}}, ) Quality & caveats ----------------- - No dataset-specific caveats are listed in the available metadata. API --- .. currentmodule:: eegdash.dataset .. autoclass:: eegdash.dataset.DS004194 :members: __init__, save :show-inheritance: :member-order: bysource See Also -------- * :class:`eegdash.dataset.EEGDashDataset` * :mod:`eegdash.dataset` * `OpenNeuro dataset page `__ * `NeMAR dataset page `__