sdc-bids-intromri
Introduction to MRI and BIDS
Science Score: 44.0%
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✓CITATION.cff file
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✓codemeta.json file
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○DOI references
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○Scientific vocabulary similarity
Low similarity (10.6%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
Introduction to MRI and BIDS
Basic Info
- Host: GitHub
- Owner: carpentries-incubator
- License: other
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://carpentries-incubator.github.io/SDC-BIDS-IntroMRI
- Size: 27.4 MB
Statistics
- Stars: 26
- Watchers: 8
- Forks: 19
- Open Issues: 9
- Releases: 3
Topics
Metadata Files
README.md
Introduction to Working with MRI Data in Python
An introduction to working with magnetic resonance imaging (MRI) data in Python.
About the Lesson
This lesson teaches:
- a (re?) introduction to MR nomenclature - with BIDS
- how neuroimaging data is stored
- "converting" your data to BIDS
- BIDS apps
- queueing up neuroimaging pipelines
Episodes
| # | Episode | Time | Question(s) |
| --: | :------ | :--: | :------------------------------------------------------------------------- |
| 1 | Before we start | 30 | What is Python and why should I learn it? |
| 2 | From the scanner to our computer | 30 | What are the main MRI modalities?
What's the first step necessary to start working with MRI data? |
| 3 | Anatomy of a NIfTI | 25 | How are MRI data represented digitally? |
| 4 | Data organization with BIDS | 45 | |
| 5 | Exploring open MRI datasets | 45 | How does standardizing neuroimaging data ease the data exploration process |
| 6 | BIDS derivatives | 45 | |
Contributing
We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.
We'd like to ask you to familiarize yourself with our Contribution Guide and have a look at the more detailed guidelines on proper formatting, ways to render the lesson locally, and even how to write new episodes.
Please see the current list of issues for ideas for contributing to this
repository. For making your contribution, we use the GitHub flow, which is
nicely explained in the chapter Contributing to a Project in Pro Git
by Scott Chacon.
Look for the tag . This indicates that the maintainers will welcome a pull request fixing this issue.
Maintainer(s)
Current maintainers of this lesson are
Authors
A list of contributors to the lesson can be found in AUTHORS
License
Instructional material from this lesson is made available under the Creative Commons Attribution (CC BY 4.0) license. Except where otherwise noted, example programs and software included as part of this lesson are made available under the MIT license. For more information, see LICENSE.
Citation
To cite this lesson, please consult with CITATION
Owner
- Name: carpentries-incubator
- Login: carpentries-incubator
- Kind: organization
- Repositories: 107
- Profile: https://github.com/carpentries-incubator
Citation (CITATION)
Please cite as: Michael Joseph, Jerrold Jeyachandra, and Erin Dickie (eds): "Data Carpentry: Introduction to MRI Data Analysis." Version 2019.11, November 2019, https://github.com/carpentries-incubator/SDC-BIDS-IntroMRI
GitHub Events
Total
- Issues event: 1
- Watch event: 1
- Delete event: 5
- Issue comment event: 9
- Push event: 50
- Pull request review event: 2
- Pull request event: 12
- Fork event: 1
- Create event: 5
Last Year
- Issues event: 1
- Watch event: 1
- Delete event: 5
- Issue comment event: 9
- Push event: 50
- Pull request review event: 2
- Pull request event: 12
- Fork event: 1
- Create event: 5
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Michael Joseph | j****2@g****m | 65 |
| Jon Haitz Legarreta Gorroño | j****a@g****m | 20 |
| Toby Hodges | t****s@g****m | 5 |
| Erin W Dickie | e****e | 5 |
| Annajiat Alim Rasel | a****t@g****m | 2 |
| tigrlab-bot | t****h@g****m | 2 |
| abbynoyce | 6****e | 1 |
| Candace Makeda Moore, MD | 3****e | 1 |
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 14
- Total pull requests: 40
- Average time to close issues: 3 months
- Average time to close pull requests: 19 days
- Total issue authors: 7
- Total pull request authors: 9
- Average comments per issue: 0.71
- Average comments per pull request: 1.03
- Merged pull requests: 38
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 7
- Average time to close issues: N/A
- Average time to close pull requests: 1 day
- Issue authors: 1
- Pull request authors: 3
- Average comments per issue: 0.0
- Average comments per pull request: 1.43
- Merged pull requests: 7
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- josephmje (5)
- jhlegarreta (3)
- edickie (2)
- ostanley (1)
- travis-jeans (1)
- drcandacemakedamoore (1)
- carpentries-bot (1)
Pull Request Authors
- josephmje (18)
- jhlegarreta (16)
- carpentries-bot (9)
- annajiat (3)
- drcandacemakedamoore (2)
- Talishask (2)
- zkamvar (1)
- abbynoyce (1)
- edickie (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- actions/cache v4 composite
- actions/checkout v4 composite
- actions/setup-python v5 composite
- actions/upload-artifact v3 composite
- actions/checkout v3 composite
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- carpentries/actions/download-workflow-artifact main composite
- carpentries/actions/remove-branch main composite
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- carpentries/actions/comment-diff main composite
- actions/checkout v3 composite
- actions/upload-artifact v3 composite
- carpentries/actions/check-valid-pr main composite
- carpentries/actions/setup-lesson-deps main composite
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- r-lib/actions/setup-r v2 composite
- actions/checkout v3 composite
- carpentries/actions/setup-lesson-deps main composite
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- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- actions/checkout v3 composite
- carpentries/actions/check-valid-credentials main composite
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- carpentries/create-pull-request main composite
- r-lib/actions/setup-r v2 composite
- actions/checkout v3 composite
- carpentries/actions/check-valid-credentials main composite
- carpentries/actions/update-workflows main composite
- carpentries/create-pull-request main composite
- datalad *
- matplotlib *
- nibabel *
- nilearn *
- numpy *
- pandas *
- pybids *
- dcm2bids *
- pybids *