[ENH] add anat dataset with task (#343)

* add anat dataset with task

* update README

* fix task name

README.md

@@ -111,16 +111,23 @@ and ask us directly.
 Below you find several tables with information about the datasets available in
 bids-examples (in alphabetical order).
 
-- [EEG datasets](#eeg-datasets)
-- [iEEG datasets](#ieeg-datasets)
-- [MRI datasets](#mri-datasets)
-- [ASL datasets](#asl-datasets)
-- [qMRI datasets](#qmri-datasets)
-- [PET datasets](#pet-datasets)
-- [Microscopy datasets](#microscopy-datasets)
-- [Motion datasets](#motion-datasets)
-- [NIRS datasets](#nirs-datasets)
-- [Multimodal datasets](#multimodal-datasets)
+- [bids-examples](#bids-examples)
+  - [Validating BIDS examples](#validating-bids-examples)
+    - [Validating individual examples](#validating-individual-examples)
+    - [Validating all examples](#validating-all-examples)
+    - [Validator exceptions](#validator-exceptions)
+  - [Contributing](#contributing)
+  - [Dataset index](#dataset-index)
+    - [EEG datasets](#eeg-datasets)
+    - [iEEG datasets](#ieeg-datasets)
+    - [MRI datasets](#mri-datasets)
+    - [ASL datasets](#asl-datasets)
+    - [qMRI datasets](#qmri-datasets)
+    - [PET datasets](#pet-datasets)
+    - [Microscopy datasets](#microscopy-datasets)
+    - [Motion datasets](#motion-datasets)    
+    - [NIRS datasets](#nirs-datasets)
+    - [Multimodal datasets](#multimodal-datasets)
 
 ### EEG datasets
 
@@ -173,6 +180,8 @@ bids-examples (in alphabetical order).
 | hcp_example_bids  | @robertoostenveld |                                                         | bold         | T1w                       |                        | https://bit.ly/2H0Z6Qt                                 |
 | synthetic         | @effigies         | A synthetic dataset                                     | bold         | T1w                       |                        |                                                        |
 | ds000001-fmriprep | @effigies         | Common derivatives example                              | bold         | T1w                       |                        | https://openneuro.org/datasets/ds000001/versions/1.0.0 |
+| ds004332          | @Remi-Gau         | Anat dataset with task entity                           |              | FLAIR, T1w, T2starw, T2w |                        | https://openneuro.org/datasets/ds004332/versions/1.0.2 |
+
 
 ### ASL datasets
 

ds004332/CHANGES

@@ -0,0 +1,7 @@
+1.0.2 2022-11-30
+  - Added all subjects
+  - DWI still missing due to validator issue
+1.0.1 2022-11-09
+  - Added more details to the ReadMe
+1.0.0 2022-11-09
+  - Initial Release

ds004332/README.md

@@ -0,0 +1,53 @@
+# Datasets with and without deliberate head movements 
+
+Used to evaluate the performance of markerless 
+prospective motion correction and selective reacquisition 
+in a general clinical protocol for brain MRI
+
+Head motion is one of the most common sources of artefacts in brain MRI. In this
+study, we evaluate the performance of markerless prospective motion correction
+(PMC) and selective reacquisition in a complete clinical protocol for brain MRI,
+comparing acquisitions with and without instructed intentional head motion.
+
+MRI and head motion data were acquired between January and March 2021 from 22
+healthy adults (16 females, 6 males) aged 19-36 (mean ± standard deviation: 23.5
+± 4.3) years, recruited for the Cimbi database (www.cimbi.dk). The recruitment
+was performed by advertisement for different research projects, with approval by
+the Ethics Committee of Copenhagen and Frederiksberg, Denmark (protocol number
+H-KF-2006-20). Written informed consent was obtained from each participant.
+
+The MRI scan protocol consisted of six different 2D- and 3D-encoded sequences,
+which were completed by a different number of participants: 3D T1 MPR (n=22), 3D
+T2 dark fluid (FLAIR) (n=10), 2D T1 STIR (n=22), 2D T2 TSE (n=22), 2D T2\* GRE
+(n=19) and 2D DWI (n=10). Note, currently the DWI are not shared yet, but they
+will be shared asap. Four scans were acquired for each sequence: two without
+intentional head motion (referred to as ‘still’) and two with a predefined
+nodding motion (‘nod’). For the T1 MPR sequence, two additional scans with
+shaking motion were acquired (‘shake’). The participants were instructed to
+perform two periods of nodding or shaking motion for 40 seconds during the
+middle of the acquisition, corresponding to the acquisition of the k-space
+center for the 3D-encoded sequences.
+
+The scans with and without PMC were acquired in the following order:
+
+- Still, no correction
+- Still, PMC
+- Nod motion, no correction (+ selective reacquisition)
+- Nod motion, PMC (+ selective reacquisition)
+- Shake motion, no correction (+ selective reacquisition) - ONLY MPRAGE
+- Shake motion, PMC (+ selective reacquisition) - ONLY MPRAGE
+
+Note that:
+- run-01 indicates the still scans, 
+- run-02 indicates the nodding scans 
+- run-03 indicates the shaking scans.
+
+Nodding motion was chosen as the primary motion pattern based on results of a
+[previous study](https://www.frontiersin.org/articles/10.3389/fradi.2021.789632/full) , where
+nodding rotation was found to be significantly larger than the rotational
+components around the other axes for awake children. Rigid-body head motion was
+measured with the optical tracking system Tracoline (TracInnovations, Ballerup,
+Denmark).
+
+More details regarding the acquisition protocol can be seen in our preprint
+https://psyarxiv.com/vzh4g.