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

name: core.nwb.base.include
id: core.nwb.base.include
imports:
- hdmf-common.base
- hdmf-common.table
- nwb.language
- core.nwb.base.include
- core.nwb.base
default_prefix: core.nwb.base.include/
classes:
  Image__Array:
    name: Image__Array
    is_a: Arraylike
    attributes:
      x:
        name: x
        range: numeric
        required: true
      y:
        name: y
        range: numeric
        required: true
      r, g, b:
        name: r, g, b
        range: numeric
        required: false
        minimum_cardinality: 3
        maximum_cardinality: 3
      r, g, b, a:
        name: r, g, b, a
        range: numeric
        required: false
        minimum_cardinality: 4
        maximum_cardinality: 4
  ImageReferences__Array:
    name: ImageReferences__Array
    is_a: Arraylike
    attributes:
      num_images:
        name: num_images
        range: Image
        required: true
  TimeSeries__data:
    name: TimeSeries__data
    description: Data values. Data can be in 1-D, 2-D, 3-D, or 4-D. The first dimension
      should always represent time. This can also be used to store binary data (e.g.,
      image frames). This can also be a link to data stored in an external file.
    attributes:
      name:
        name: name
        ifabsent: string(data)
        range: string
        required: true
        equals_string: data
      conversion:
        name: conversion
        description: Scalar to multiply each element in data to convert it to the
          specified 'unit'. If the data are stored in acquisition system units or
          other units that require a conversion to be interpretable, multiply the
          data by 'conversion' to convert the data to the specified 'unit'. e.g. if
          the data acquisition system stores values in this object as signed 16-bit
          integers (int16 range -32,768 to 32,767) that correspond to a 5V range (-2.5V
          to 2.5V), and the data acquisition system gain is 8000X, then the 'conversion'
          multiplier to get from raw data acquisition values to recorded volts is
          2.5/32768/8000 = 9.5367e-9.
        range: float32
      offset:
        name: offset
        description: Scalar to add to the data after scaling by 'conversion' to finalize
          its coercion to the specified 'unit'. Two common examples of this include
          (a) data stored in an unsigned type that requires a shift after scaling
          to re-center the data, and (b) specialized recording devices that naturally
          cause a scalar offset with respect to the true units.
        range: float32
      resolution:
        name: resolution
        description: Smallest meaningful difference between values in data, stored
          in the specified by unit, e.g., the change in value of the least significant
          bit, or a larger number if signal noise is known to be present. If unknown,
          use -1.0.
        range: float32
      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' and add 'offset'.
        range: text
      continuity:
        name: continuity
        description: Optionally describe the continuity of the data. Can be "continuous",
          "instantaneous", or "step". For example, a voltage trace would be "continuous",
          because samples are recorded from a continuous process. An array of lick
          times would be "instantaneous", because the data represents distinct moments
          in time. Times of image presentations would be "step" because the picture
          remains the same until the next timepoint. This field is optional, but is
          useful in providing information about the underlying data. It may inform
          the way this data is interpreted, the way it is visualized, and what analysis
          methods are applicable.
        range: text
      array:
        name: array
        range: TimeSeries__data__Array
  TimeSeries__data__Array:
    name: TimeSeries__data__Array
    is_a: Arraylike
    attributes:
      num_times:
        name: num_times
        range: AnyType
        required: true
      num_DIM2:
        name: num_DIM2
        range: AnyType
        required: false
      num_DIM3:
        name: num_DIM3
        range: AnyType
        required: false
      num_DIM4:
        name: num_DIM4
        range: AnyType
        required: false
  TimeSeries__starting_time:
    name: TimeSeries__starting_time
    description: Timestamp of the first sample in seconds. When timestamps are uniformly
      spaced, the timestamp of the first sample can be specified and all subsequent
      ones calculated from the sampling rate attribute.
    attributes:
      name:
        name: name
        ifabsent: string(starting_time)
        range: string
        required: true
        equals_string: starting_time
      rate:
        name: rate
        description: Sampling rate, in Hz.
        range: float32
      unit:
        name: unit
        description: Unit of measurement for time, which is fixed to 'seconds'.
        range: text
  TimeSeries__sync:
    name: TimeSeries__sync
    description: Lab-specific time and sync information as provided directly from
      hardware devices and that is necessary for aligning all acquired time information
      to a common timebase. The timestamp array stores time in the common timebase.
      This group will usually only be populated in TimeSeries that are stored external
      to the NWB file, in files storing raw data. Once timestamp data is calculated,
      the contents of 'sync' are mostly for archival purposes.
    attributes:
      name:
        name: name
        ifabsent: string(sync)
        range: string
        required: true
        equals_string: sync
  Images__order_of_images:
    name: Images__order_of_images
    description: Ordered dataset of references to Image objects stored in the parent
      group. Each Image object in the Images group should be stored once and only
      once, so the dataset should have the same length as the number of images.
    is_a: ImageReferences
    attributes:
      name:
        name: name
        ifabsent: string(order_of_images)
        range: string
        required: true
        equals_string: order_of_images