Data

Tools

Indexes

Applications

Experiments

Open Source Science

ddmra

Code for running distance-dependent motion-related artifact analyses in Python

https://github.com/me-ica/ddmra

Science Score: 49.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 2 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (7.6%) to scientific vocabulary

Keywords

fmri neuroimaging quality-control
Last synced: 6 months ago · JSON representation

Repository

Code for running distance-dependent motion-related artifact analyses in Python

Basic Info
  • Host: GitHub
  • Owner: ME-ICA
  • License: lgpl-2.1
  • Language: Python
  • Default Branch: main
  • Homepage: http://ddmra.readthedocs.io
  • Size: 15.7 MB
Statistics
  • Stars: 2
  • Watchers: 2
  • Forks: 2
  • Open Issues: 5
  • Releases: 1
Topics
fmri neuroimaging quality-control
Created over 7 years ago · Last pushed almost 4 years ago
Metadata Files
Readme Contributing License Code of conduct Zenodo

README.md

ddmra

Latest Version PyPI - Python Version DOI License CircleCI Documentation Status Codecov

Code for running distance-dependent motion-related artifact analyses in Python

We've chosen to model our DDMRA approach off of the analyses performed in Power et al. (2018), with some changes.

Example results

Example results

Owner

  • Name: ME-ICA
  • Login: ME-ICA
  • Kind: organization

Python-based tools for analyzing multi-echo fMRI data

GitHub Events

Total
Last Year

Issues and Pull Requests

Last synced: about 2 years ago

All Time
  • Total issues: 6
  • Total pull requests: 5
  • Average time to close issues: about 24 hours
  • Average time to close pull requests: 3 days
  • Total issue authors: 1
  • Total pull request authors: 2
  • Average comments per issue: 0.17
  • Average comments per pull request: 1.6
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • tsalo (6)
Pull Request Authors
  • tsalo (4)
  • JulioAPeraza (1)
Top Labels
Issue Labels
enhancement (2) bug (1)
Pull Request Labels