metadata.yaml

about: []
access:
- schemaKey: AccessRequirements
  status: dandi:OpenAccess
assetsSummary:
  numberOfBytes: 0
  numberOfFiles: 0
  schemaKey: AssetsSummary
citation: Khurram, Obaid (2024) Identification of eupnea (Version draft) [Data set].
  DANDI archive. https://dandiarchive.org/dandiset/001087/draft
contributor:
- affiliation: []
  email: khurram.obaid@mayo.edu
  includeInCitation: true
  name: Khurram, Obaid
  roleName:
  - dcite:ContactPerson
  schemaKey: Person
dateCreated: '2024-07-16T20:59:16.320930+00:00'
description: 'Identification of eupneic breathing using hierarchical clustering, an
  unsupervised machine learning. Input data sets are of Matlab table form and contain
  the onset and offset of breaths + the input raw diaphragm EMG signal. Output is
  table format with identification of clusters are formed. The primary cluster is
  assumed to be eupneic. '
ethicsApproval: []
id: DANDI:001087/draft
identifier: DANDI:001087
keywords:
- eupnea
- breathing
- diaphragm
- emg
- rat
license:
- spdx:CC-BY-4.0
manifestLocation:
- https://api.dandiarchive.org/api/dandisets/001087/versions/draft/assets/
name: Identification of eupnea
protocol: []
relatedResource: []
repository: https://dandiarchive.org
schemaKey: Dandiset
schemaVersion: 0.6.8
studyTarget:
- neuromotor control of breathing
url: https://dandiarchive.org/dandiset/001087/draft
version: draft
wasGeneratedBy: []