metadata.yaml

about: []
access:
- schemaKey: AccessRequirements
  status: dandi:OpenAccess
assetsSummary:
  numberOfBytes: 0
  numberOfFiles: 0
  schemaKey: AssetsSummary
citation: Khurram, Obaid; Sieck, Gary; Mantilla, Carlos (2024) Identification of eupneic
  breathing using machine learning (Version draft) [Data set]. DANDI archive. https://dandiarchive.org/dandiset/001194/draft
contributor:
- affiliation: []
  email: khurram.obaid@mayo.edu
  identifier: 0000-0001-9103-4713
  includeInCitation: true
  name: Khurram, Obaid
  roleName:
  - dcite:Author
  - dcite:ContactPerson
  - dcite:DataCollector
  schemaKey: Person
- email: sieck.gary@mayo.edu
  identifier: 0000-0003-3040-9424
  includeInCitation: true
  name: Sieck, Gary
  roleName:
  - dcite:Author
  - dcite:ProjectLeader
  - dcite:ContactPerson
  schemaKey: Person
- email: mantilla.carlos@mayo.edu
  identifier: 0000-0001-5446-9208
  includeInCitation: true
  name: Mantilla, Carlos
  roleName:
  - dcite:Author
  schemaKey: Person
dateCreated: '2024-09-16T21:48:55.669864+00:00'
description: This data set corresponds to a publication of the same title. The data
  contains raw diaphragm EMG files as well as individually marked onset and offset
  points for each burst of diaphragm EMG activity. These data are from calm, gently
  restrained awake rats.
ethicsApproval:
- contactPoint:
    email: IACUC@mayo.edu
    schemaKey: ContactPoint
  identifier: A00003105-17-R23
  schemaKey: EthicsApproval
id: DANDI:001194/draft
identifier: DANDI:001194
keywords:
- rat
- diaphragm muscle
- diaphragm
- EMG
- muscle
- motor unit
- phrenic motor neuron
- breathing
- eupnea
- machine learning
- unsupervised machine learning
- hierarchical clustering
license:
- spdx:CC-BY-4.0
manifestLocation:
- https://api.dandiarchive.org/api/dandisets/001194/versions/draft/assets/
name: Identification of eupneic breathing using machine learning
protocol: []
relatedResource: []
repository: https://dandiarchive.org
schemaKey: Dandiset
schemaVersion: 0.6.8
studyTarget:
- To use hierarchical clustering to identify eupneic breathing amidst a deluge of
  different respiratory behavior identifiable with diaphragm EMG recordings.
url: https://dandiarchive.org/dandiset/001194/draft
version: draft
wasGeneratedBy: []