.. This documentation page is generated during the Sphinx build. The underlying code is manually maintained and not autogenerated. eegdash.dataset.DS004395 ======================== participants.tsv (OpenNeuro ``ds004395``). Access recordings and metadata through EEGDash. .. rst-class:: sd-badges :bdg-light:`Modality: ['eeg']` :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 - ``DS004395`` * - Title - participants.tsv * - Year - 2023 * - Authors - Michael J. Kahana, Joseph H. Rudoler, Lynn J. Lohnas, Karl Healey, Ada Aka, Adam Broitman, Elizabeth Crutchley, Patrick Crutchley, Kylie H. Alm, Brandon S. Katerman, Nicole E. Miller, Joel R. Kuhn, Yuxuan Li, Nicole M. Long, Jonathan Miller, Madison D. Paron, Jesse K. Pazdera, Isaac Pedisich, Christoph T. Weidemann * - License - CC0 * - Citation / DOI - `doi:10.18112/openneuro.ds004395.v2.0.0 `__ * - Source links - `OpenNeuro `__ | `NeMAR `__ | `Source URL `__ .. dropdown:: Copy-paste BibTeX :class-container: sd-shadow-sm :class-title: sd-bg-light .. code-block:: bibtex @dataset{ds004395, title = {participants.tsv}, author = {Michael J. Kahana and Joseph H. Rudoler and Lynn J. Lohnas and Karl Healey and Ada Aka and Adam Broitman and Elizabeth Crutchley and Patrick Crutchley and Kylie H. Alm and Brandon S. Katerman and Nicole E. Miller and Joel R. Kuhn and Yuxuan Li and Nicole M. Long and Jonathan Miller and Madison D. Paron and Jesse K. Pazdera and Isaac Pedisich and Christoph T. Weidemann}, doi = {10.18112/openneuro.ds004395.v2.0.0}, url = {https://doi.org/10.18112/openneuro.ds004395.v2.0.0}, } 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: 135 (10), 263 (2), 128 (1455), 125 (4978), 143, 136 (37) - Sampling rate (Hz): 500.0 (4946), 2048.0 (1466), 512.0 (28), 1000.0 (15), 250.0 (17), 1024.0 (11) - 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.ds004395.v2.0.0 .. grid-item-card:: Provenance :class-card: sd-border-1 - Source: openneuro - OpenNeuro: `ds004395 `__ - NeMAR: `ds004395 `__ Quickstart ---------- **Install** .. code-block:: bash pip install eegdash **Load a recording** .. code-block:: python from eegdash.dataset import DS004395 dataset = DS004395(cache_dir="./data") recording = dataset[0] raw = recording.load() **Filter/query** .. tab-set:: .. tab-item:: Basic .. code-block:: python dataset = DS004395(cache_dir="./data", subject="01") .. tab-item:: Advanced .. code-block:: python dataset = DS004395( 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.DS004395 :members: __init__, save :show-inheritance: :member-order: bysource See Also -------- * :class:`eegdash.dataset.EEGDashDataset` * :mod:`eegdash.dataset` * `OpenNeuro dataset page `__ * `NeMAR dataset page `__