.. This documentation page is generated during the Sphinx build. The underlying code is manually maintained and not autogenerated. eegdash.dataset.DS004100 ======================== participants.tsv (OpenNeuro ``ds004100``). 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 - ``DS004100`` * - Title - participants.tsv * - Year - 2022 * - Authors - John M. Bernabei, Adam Li, Andrew Y. Revell, Rachel J. Smith, Kristin M. Gunnarsdottir, Ian Z. Ong, Kathryn A. Davis, Nishant Sinha, Sridevi Sarma, Brian Litt * - License - CC0 * - Citation / DOI - `doi:10.18112/openneuro.ds004100.v1.1.3 `__ * - Source links - `OpenNeuro `__ | `NeMAR `__ | `Source URL `__ .. dropdown:: Copy-paste BibTeX :class-container: sd-shadow-sm :class-title: sd-bg-light .. code-block:: bibtex @dataset{ds004100, title = {participants.tsv}, author = {John M. Bernabei and Adam Li and Andrew Y. Revell and Rachel J. Smith and Kristin M. Gunnarsdottir and Ian Z. Ong and Kathryn A. Davis and Nishant Sinha and Sridevi Sarma and Brian Litt}, doi = {10.18112/openneuro.ds004100.v1.1.3}, url = {https://doi.org/10.18112/openneuro.ds004100.v1.1.3}, } 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: 122 (21), 108 (7), 162 (5), 126 (14), 61 (4), 52 (5), 94 (2), 121 (7), 85 (3), 92 (7), 90 (4), 74 (7), 149 (7), 102 (7), 190 (7), 88 (5), 71 (5), 186 (5), 120 (7), 105 (4), 59 (5), 232, 80 (7), 174 (7), 109 (7), 127 (12), 104 (13), 63 (5), 116 (5), 164 (5), 180 (12), 117 (7), 100 (5), 128 (18), 163 (6), 82 (12), 96 (12), 98 (6), 192 (2), 118 (17), 172 (15), 136 (7) - Sampling rate (Hz): 512.0 (165), 256.0 (7), 1024.0 (78), 500.0 (69) - 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.ds004100.v1.1.3 .. grid-item-card:: Provenance :class-card: sd-border-1 - Source: openneuro - OpenNeuro: `ds004100 `__ - NeMAR: `ds004100 `__ Quickstart ---------- **Install** .. code-block:: bash pip install eegdash **Load a recording** .. code-block:: python from eegdash.dataset import DS004100 dataset = DS004100(cache_dir="./data") recording = dataset[0] raw = recording.load() **Filter/query** .. tab-set:: .. tab-item:: Basic .. code-block:: python dataset = DS004100(cache_dir="./data", subject="01") .. tab-item:: Advanced .. code-block:: python dataset = DS004100( 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.DS004100 :members: __init__, save :show-inheritance: :member-order: bysource See Also -------- * :class:`eegdash.dataset.EEGDashDataset` * :mod:`eegdash.dataset` * `OpenNeuro dataset page `__ * `NeMAR dataset page `__