nwb-linkml/nwb_linkml/schema/core.nwb.misc.include.yaml

name: core.nwb.misc.include
id: core.nwb.misc.include
imports:
- core.nwb.base
- hdmf-common.table
- core.nwb.ecephys
- nwb.language
- core.nwb.misc.include
- core.nwb.misc
prefixes:
  core.nwb.misc:
    prefix_prefix: core.nwb.misc
    prefix_reference: https://example.com/core.nwb.misc/
default_prefix: core.nwb.misc
classes:
  AbstractFeatureSeries__data:
    name: AbstractFeatureSeries__data
    description: Values of each feature at each time.
    attributes:
      name:
        name: name
        ifabsent: string(data)
        range: string
        required: true
        equals_string: data
      unit:
        name: unit
        description: Since there can be different units for different features, store
          the units in 'feature_units'. The default value for this attribute is "see
          'feature_units'".
        range: text
      array:
        name: array
        range: AbstractFeatureSeries__data__Array
  AbstractFeatureSeries__data__Array:
    name: AbstractFeatureSeries__data__Array
    is_a: Arraylike
    attributes:
      num_times:
        name: num_times
        range: numeric
        required: true
      num_features:
        name: num_features
        range: numeric
        required: false
  DecompositionSeries__data:
    name: DecompositionSeries__data
    description: Data decomposed into frequency bands.
    attributes:
      name:
        name: name
        ifabsent: string(data)
        range: string
        required: true
        equals_string: data
      unit:
        name: unit
        description: Base unit of measurement for working with the data. Actual stored
          values are not necessarily stored in these units. To access the data in
          these units, multiply 'data' by 'conversion'.
        range: text
      array:
        name: array
        range: DecompositionSeries__data__Array
  DecompositionSeries__data__Array:
    name: DecompositionSeries__data__Array
    is_a: Arraylike
    attributes:
      num_times:
        name: num_times
        range: numeric
        required: true
      num_channels:
        name: num_channels
        range: numeric
        required: true
      num_bands:
        name: num_bands
        range: numeric
        required: true
  DecompositionSeries__source_channels:
    name: DecompositionSeries__source_channels
    description: DynamicTableRegion pointer to the channels that this decomposition
      series was generated from.
    is_a: DynamicTableRegion
    attributes:
      name:
        name: name
        ifabsent: string(source_channels)
        range: string
        required: true
        equals_string: source_channels
  Units__spike_times_index:
    name: Units__spike_times_index
    description: Index into the spike_times dataset.
    is_a: VectorIndex
    attributes:
      name:
        name: name
        ifabsent: string(spike_times_index)
        range: string
        required: true
        equals_string: spike_times_index
  Units__spike_times:
    name: Units__spike_times
    description: Spike times for each unit in seconds.
    is_a: VectorData
    attributes:
      name:
        name: name
        ifabsent: string(spike_times)
        range: string
        required: true
        equals_string: spike_times
      resolution:
        name: resolution
        description: The smallest possible difference between two spike times. Usually
          1 divided by the acquisition sampling rate from which spike times were extracted,
          but could be larger if the acquisition time series was downsampled or smaller
          if the acquisition time series was smoothed/interpolated and it is possible
          for the spike time to be between samples.
        range: float64
  Units__obs_intervals_index:
    name: Units__obs_intervals_index
    description: Index into the obs_intervals dataset.
    is_a: VectorIndex
    attributes:
      name:
        name: name
        ifabsent: string(obs_intervals_index)
        range: string
        required: true
        equals_string: obs_intervals_index
  Units__obs_intervals:
    name: Units__obs_intervals
    description: Observation intervals for each unit.
    is_a: VectorData
    attributes:
      name:
        name: name
        ifabsent: string(obs_intervals)
        range: string
        required: true
        equals_string: obs_intervals
  Units__electrodes_index:
    name: Units__electrodes_index
    description: Index into electrodes.
    is_a: VectorIndex
    attributes:
      name:
        name: name
        ifabsent: string(electrodes_index)
        range: string
        required: true
        equals_string: electrodes_index
  Units__electrodes:
    name: Units__electrodes
    description: Electrode that each spike unit came from, specified using a DynamicTableRegion.
    is_a: DynamicTableRegion
    attributes:
      name:
        name: name
        ifabsent: string(electrodes)
        range: string
        required: true
        equals_string: electrodes
  Units__waveform_mean:
    name: Units__waveform_mean
    description: Spike waveform mean for each spike unit.
    is_a: VectorData
    attributes:
      name:
        name: name
        ifabsent: string(waveform_mean)
        range: string
        required: true
        equals_string: waveform_mean
      sampling_rate:
        name: sampling_rate
        description: Sampling rate, in hertz.
        range: float32
      unit:
        name: unit
        description: Unit of measurement. This value is fixed to 'volts'.
        range: text
  Units__waveform_sd:
    name: Units__waveform_sd
    description: Spike waveform standard deviation for each spike unit.
    is_a: VectorData
    attributes:
      name:
        name: name
        ifabsent: string(waveform_sd)
        range: string
        required: true
        equals_string: waveform_sd
      sampling_rate:
        name: sampling_rate
        description: Sampling rate, in hertz.
        range: float32
      unit:
        name: unit
        description: Unit of measurement. This value is fixed to 'volts'.
        range: text
  Units__waveforms:
    name: Units__waveforms
    description: Individual waveforms for each spike on each electrode. This is a
      doubly indexed column. The 'waveforms_index' column indexes which waveforms
      in this column belong to the same spike event for a given unit, where each waveform
      was recorded from a different electrode. The 'waveforms_index_index' column
      indexes the 'waveforms_index' column to indicate which spike events belong to
      a given unit. For example, if the 'waveforms_index_index' column has values
      [2, 5, 6], then the first 2 elements of the 'waveforms_index' column correspond
      to the 2 spike events of the first unit, the next 3 elements of the 'waveforms_index'
      column correspond to the 3 spike events of the second unit, and the next 1 element
      of the 'waveforms_index' column corresponds to the 1 spike event of the third
      unit. If the 'waveforms_index' column has values [3, 6, 8, 10, 12, 13], then
      the first 3 elements of the 'waveforms' column contain the 3 spike waveforms
      that were recorded from 3 different electrodes for the first spike time of the
      first unit. See https://nwb-schema.readthedocs.io/en/stable/format_description.html#doubly-ragged-arrays
      for a graphical representation of this example. When there is only one electrode
      for each unit (i.e., each spike time is associated with a single waveform),
      then the 'waveforms_index' column will have values 1, 2, ..., N, where N is
      the number of spike events. The number of electrodes for each spike event should
      be the same within a given unit. The 'electrodes' column should be used to indicate
      which electrodes are associated with each unit, and the order of the waveforms
      within a given unit x spike event should be in the same order as the electrodes
      referenced in the 'electrodes' column of this table. The number of samples for
      each waveform must be the same.
    is_a: VectorData
    attributes:
      name:
        name: name
        ifabsent: string(waveforms)
        range: string
        required: true
        equals_string: waveforms
      sampling_rate:
        name: sampling_rate
        description: Sampling rate, in hertz.
        range: float32
      unit:
        name: unit
        description: Unit of measurement. This value is fixed to 'volts'.
        range: text
  Units__waveforms_index:
    name: Units__waveforms_index
    description: Index into the waveforms dataset. One value for every spike event.
      See 'waveforms' for more detail.
    is_a: VectorIndex
    attributes:
      name:
        name: name
        ifabsent: string(waveforms_index)
        range: string
        required: true
        equals_string: waveforms_index
  Units__waveforms_index_index:
    name: Units__waveforms_index_index
    description: Index into the waveforms_index dataset. One value for every unit
      (row in the table). See 'waveforms' for more detail.
    is_a: VectorIndex
    attributes:
      name:
        name: name
        ifabsent: string(waveforms_index_index)
        range: string
        required: true
        equals_string: waveforms_index_index