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link and format edits (#389)
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fixed some broken links and added some small formatting fixes.
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iamdamion authored Apr 30, 2024
1 parent 852debc commit 46a2e60
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4 changes: 2 additions & 2 deletions _data/MEEG_converters.yml
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- MATLAB
documentation: https://eeglab.org/tutorials/04_Import/BIDS.html
comment:
"<a href='https://github.com/arnodelorme/bids-MATLAB-tools'>See
plugins</a>"
<a href="https://github.com/arnodelorme/bids-MATLAB-tools" target="_blank">See
plugins</a>


- name: FieldTrip - data2bids
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6 changes: 5 additions & 1 deletion _data/converters.yml
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- MRI # not sure
expected_input:
language:
comment: Convert OpenfMRI dataset to BIDS
comment:
Convert OpenfMRI dataset to BIDS. (Possibly deprecated due to openfmri.org moving
to <a href="https://openneuro.org/" target="_blank">openneuro.org</a>).

- name: ReproIn
url: https://github.com/ReproNim/reproin
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data_types:
- MRI # not sure
expected_input:
- DICOM via xnat DB
language:
- shell
comment: |
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url: https://github.com/mslw/horos-bids-output
data_types:
expected_input:
- DICOM via Osirix / Horos
language:
- objective C
comment: Horos plugin for BIDS output.
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8 changes: 3 additions & 5 deletions _data/other_converters.yml
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- DICOM
- PAR/REC
expected_input:
- DICOM
language:
- C++ (compiled versions available from <ahref="https://www.nitrc.org/plugins/mwiki/index.php/dcm2nii:MainPage">NITRC</a>)
- C++ (compiled versions available from <a href="https://www.nitrc.org/plugins/mwiki/index.php/dcm2nii" target="_blank">NITRC</a>)
comment: "dcm2nii DICOM to NIfTI converter"


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- Python
comment: |
GUI to easily convert simulation results to BIDS format,
according to
<a herf="https://bids.neuroimaging.io/bep034" target="_blank">
BEP 34
</a>.
according to <a href="https://bids.neuroimaging.io/bep034" target="_blank">BEP 34</a>.
license: MIT
5 changes: 2 additions & 3 deletions _pages/benefits.md
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# Software currently supporting BIDS:

- [BIDS Apps](http://bids-apps.neuroimaging.io){:target="_blank"} (a growing set of portable containerized data processing pipelines that understand BIDS datasets)

A description of how to build containerized apps supporting BIDS inputs can be found in the [paper published in PLOS Computational Biology](http://doi.org/10.1371/journal.pcbi.1005209){:target="_blank"}.
- [BIDS Apps](http://bids-apps.neuroimaging.io){:target="_blank"} (a growing set of portable containerized data processing pipelines that understand BIDS datasets)\
A description of how to build containerized apps supporting BIDS inputs can be found in the [paper published in PLOS Computational Biology](http://doi.org/10.1371/journal.pcbi.1005209){:target="_blank"}.

## Other Tools

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