..
   This documentation page is generated during the Sphinx build.
   The underlying code is manually maintained and not autogenerated.

eegdash.dataset.DS004105
========================

participants.tsv (OpenNeuro ``ds004105``). 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
     - ``DS004105``
   * - Title
     - participants.tsv
   * - Year
     - 2022
   * - Authors
     - Javier Garcia (data), Justin Brooks (data), Scott Kerick (data), Tony Johnson (data and curation), Tim Mullen (data), Jean Vettel (data), Jonathan Touryan (curation), Kay Robbins (curation)
   * - License
     - CC0
   * - Citation / DOI
     - `doi:10.18112/openneuro.ds004105.v1.0.0 <https://doi.org/10.18112/openneuro.ds004105.v1.0.0>`__
   * - Source links
     - `OpenNeuro <https://openneuro.org/datasets/ds004105>`__ | `NeMAR <https://nemar.org/dataexplorer/detail?dataset_id=ds004105>`__ | `Source URL <https://openneuro.org/datasets/ds004105>`__

.. dropdown:: Copy-paste BibTeX
   :class-container: sd-shadow-sm
   :class-title: sd-bg-light

   .. code-block:: bibtex

      @dataset{ds004105,
        title = {participants.tsv},
        author = {Javier Garcia (data) and Justin Brooks (data) and Scott Kerick (data) and Tony Johnson (data and curation) and Tim Mullen (data) and Jean Vettel (data) and Jonathan Touryan (curation) and Kay Robbins (curation)},
        doi = {10.18112/openneuro.ds004105.v1.0.0},
        url = {https://doi.org/10.18112/openneuro.ds004105.v1.0.0},
      }

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: 74
      - Sampling rate (Hz): Unknown
      - 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.ds004105.v1.0.0

   .. grid-item-card:: Provenance
      :class-card: sd-border-1

      - Source: openneuro
      - OpenNeuro: `ds004105 <https://openneuro.org/datasets/ds004105>`__
      - NeMAR: `ds004105 <https://nemar.org/dataexplorer/detail?dataset_id=ds004105>`__

Quickstart
----------

**Install**

.. code-block:: bash

   pip install eegdash

**Load a recording**

.. code-block:: python

   from eegdash.dataset import DS004105

   dataset = DS004105(cache_dir="./data")
   recording = dataset[0]
   raw = recording.load()

**Filter/query**

.. tab-set::

   .. tab-item:: Basic

      .. code-block:: python

         dataset = DS004105(cache_dir="./data", subject="01")

   .. tab-item:: Advanced

      .. code-block:: python

         dataset = DS004105(
             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.DS004105
   :members: __init__, save
   :show-inheritance:
   :member-order: bysource


See Also
--------

* :class:`eegdash.dataset.EEGDashDataset`
* :mod:`eegdash.dataset`
* `OpenNeuro dataset page <https://openneuro.org/datasets/ds004105>`__
* `NeMAR dataset page <https://nemar.org/dataexplorer/detail?dataset_id=ds004105>`__