diff --git a/_data/MEEG_converters.yml b/_data/MEEG_converters.yml index c726d6ad..38327f26 100644 --- a/_data/MEEG_converters.yml +++ b/_data/MEEG_converters.yml @@ -75,8 +75,8 @@ - MATLAB documentation: https://eeglab.org/tutorials/04_Import/BIDS.html comment: - "See - plugins" + See + plugins - name: FieldTrip - data2bids diff --git a/_data/converters.yml b/_data/converters.yml index 030a1ccd..8ec2267e 100644 --- a/_data/converters.yml +++ b/_data/converters.yml @@ -126,7 +126,9 @@ - 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 openneuro.org). - name: ReproIn url: https://github.com/ReproNim/reproin @@ -148,6 +150,7 @@ data_types: - MRI # not sure expected_input: + - DICOM via xnat DB language: - shell comment: | @@ -158,6 +161,7 @@ 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. diff --git a/_data/other_converters.yml b/_data/other_converters.yml index a92b10ab..b75f3267 100644 --- a/_data/other_converters.yml +++ b/_data/other_converters.yml @@ -41,8 +41,9 @@ - DICOM - PAR/REC expected_input: + - DICOM language: - - C++ (compiled versions available from NITRC) + - C++ (compiled versions available from NITRC) comment: "dcm2nii DICOM to NIfTI converter" @@ -74,8 +75,5 @@ - Python comment: | GUI to easily convert simulation results to BIDS format, - according to - - BEP 34 - . + according to BEP 34. license: MIT diff --git a/_pages/benefits.md b/_pages/benefits.md index 9008f900..a944d0c8 100644 --- a/_pages/benefits.md +++ b/_pages/benefits.md @@ -24,9 +24,8 @@ By using this standard you will benefit in the following ways: # 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