DagsHub-Datasets
/
dandiarchive-dataset


  
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            '@context': https://raw.githubusercontent.com/dandi/schema/master/releases/0.6.7/context.json
about: []
access:
- schemaKey: AccessRequirements
  status: dandi:OpenAccess
acknowledgement: Simons Foundation
assetsSummary:
  numberOfBytes: 0
  numberOfFiles: 0
  schemaKey: AssetsSummary
citation: 'O''Connell, Sean (2024) LITMUS: Rat-based motor unit dataset with 0 STD
  waveform shape variability (Version draft) [Data set]. DANDI archive. https://dandiarchive.org/dandiset/001070/draft'
contributor:
- affiliation: []
  email: sean_oc@emory.edu
  includeInCitation: true
  name: O'Connell, Sean
  roleName:
  - dcite:ContactPerson
  schemaKey: Person
dateCreated: '2024-06-21T19:33:08.788899+00:00'
description: This 10-minute, 8-channel dataset contains synthetic data generated from
  the MUsim repository (https://github.com/snel-repo/MUsim) using real waveforms from
  10 motor units recorded intramuscularly with up to 200 SNR. Although low background
  noise was observed, waveform shapes were observed to have an inherent shape variability.
  In this Dandiset the level of shape noise simulated is 0 STD (computed from the
  Kilosort spatial template matrix).
ethicsApproval: []
id: DANDI:001070/draft
identifier: DANDI:001070
keywords:
- LITMUS
- Motor Unit
- MUsim
- SNEL
- EMUsort
- Rat
- EMG
license:
- spdx:CC-BY-4.0
manifestLocation:
- https://api.dandiarchive.org/api/dandisets/001070/versions/draft/assets/
name: 'LITMUS: Rat-based motor unit dataset with 0 STD waveform shape variability'
protocol: []
relatedResource:
- identifier: MUsim
  name: 'MUsim: Python class for motor unit simulations, produce activity according
    to arbitrary force profiles'
  relation: dcite:IsSourceOf
  repository: MUsim
  resourceType: dcite:Software
  schemaKey: Resource
  url: https://github.com/snel-repo/MUsim
repository: https://dandiarchive.org
schemaKey: Dandiset
schemaVersion: 0.6.7
studyTarget: []
url: https://dandiarchive.org/dandiset/001070/draft
version: draft
wasGeneratedBy: []