CONP Portal | Dataset


Calgary Preschool MRI Dataset
Creators: Jess Reynolds, Xiangyu Long, Dmitrii Paniukov, Mercedes Bagshawe, Deborah Dewey, Catherine Lebel
Licenses: CC-By Attribution 4.0 International
Version: 2020-09-15T22:12:57.984121
Formats:
Size: 120.4 GB
No of Files: 1562
Project Landing Page: https://osf.io/axz5r/
Metadata file: DATS.json
Other Dates: Date Created: 2019-04-02 19:11:58 -- Date Modified: 2020-09-15 22:12:57
Description:
Calgary Preschool MRI Dataset: The DTI dataset here comprises 396 unprocessed b750 diffusion weighted MRI scans from 120 participants aged 2-8 years.

Dataset README information

README.md

Calgary Preschool MRI Dataset

Crawled from OSF

Description

Calgary Preschool MRI Dataset: The DTI dataset here comprises 396 unprocessed b750 diffusion weighted MRI scans from 120 participants aged 2-8 years.

DOI: 10.17605/OSF.IO/AXZ5R

Download Using DataLad

CircleCI status

The following instructions require a basic understanding of UNIX/LINUX command lines. A subset of open datasets on the Portal are also available through a browser-based download button. The instructions below regard dataset download with the use of DataLad. To install DataLad on your system, please refer to the install section of the DataLad Handbook .

Note: For maximum compatibility with conp-dataset, the CONP recommends versions 3.12+ of Python, 10.20241202+ of git-annex, and 1.1.4+ of datalad.

1) Initiate the CONP dataset

Run the following command in the directory where you want the CONP dataset (conp-dataset) to be installed:

2) Install the Calgary_Preschool_MRI_Dataset dataset

To install the Calgary_Preschool_MRI_Dataset dataset, run the following commands to move into the "projects" subdirectory under the "conp-dataset" directory (created in the previous step) and run datalad install:

3) Download data from the Calgary_Preschool_MRI_Dataset dataset

Now that the dataset has been installed, go into the Calgary_Preschool_MRI_Dataset dataset directory.

The files visible after installing the dataset but before downloading (in the next step) are symbolic links and need to be downloaded manually using the datalad get command:

If you run datalad get * command, all the files available in the dataset directory will be downloaded.


For more information on how DataLad works, please visit the DataLad Handbook documentation.