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