CONP Portal | Dataset


Keywords: Phantom MRI
SIMON
Creators: Laboratoire MEDICS
Contact: Simon Duchesne, CERVO Brain Research Centre, Quebec, Canada info@medics.ulaval.ca
Licenses: CC BY-SA
Version: 1.0
Modalities: MRI MRI
Formats: NIfTI
Size: 84.0 GB
No of Files: 1829
No of Subjects: 1
Primary Publication: The Canadian Dementia Imaging Protocol: Harmonizing National Cohorts. Journal of Magnetic Resonance Imaging, volume 49, Issue 2.
Metadata file: DATS.json
Dimensions: T1w, T1, T2, T2*, PDw, SWI, ASL, age at scan, resting state fMRI
Is About: Homo sapiens, adult
Acknowledges: Fonds de Recheche du Québec - Santé, Consortium pour l'Identification précoce de la Maladie d'Alzheimer - Québec, Canadian Consortium on Neurodegeneration in Aging, Consortium Canadien en Neurodégénérescence associée au Vieillissement, Ontario Neurodegenerative Disease Research Initiative, Pfizer Canada Innovation Fund, Ontario Brain Institute Foundation, Canada Fund for Innovation, Fond Canadien de l'Innovation
Other Dates: Start Date: 2001-09-20 00:00:00 -- End Date: 2018-09-18 00:00:00
Description:
The Single Individual volunteer for Multiple Observations across Networks (SIMON) MRI dataset is a sample of convenience of one ambidextrous healthy male aged between 29 and 46 years old, scanned in 73 sessions at multiple sites and with various scanner models

Dataset README information

README.md

SIMON Dataset

Overview

The Single Individual volunteer for Multiple Observations across Networks (SIMON) MRI dataset is a sample of convenience of one healthy male aged between 29 and 46 years old, scanned in 73 sessions at multiple sites and with various scanner models. Each of these sessions includes at least an anatomical T1-weighted image, in addition to other modalities (T1, T2- and PD-weighted, T2-star, diffusion, resting state fMRI, susceptibility, arterial spin labelling), which vary from one session to another (refer to the publications for the design detail). These images were partly acquired through the implementation of the Canadian Dementia Imaging Protocol (CDIP), which is still ongoing. Thus, more images will be acquired in the future and added to the dataset.

  • This SIMON_pheno.csv file includes: Demographic information (age, session number, session date)
  • The Single Individual volunteer for Multiple Observations across Networks (SIMON) MRI dataset is a sample of convenience of one ambidextrous healthy male aged between 29 and 46 years old, scanned in 73 sessions at multiple sites and with various scanner models (See below image).

Simon Scanner Headmap

Additional Information

The data was re-hosted from https://fcp-indi.s3.amazonaws.com/data/Projects/INDI/SIMON/SIMON_data.tar.gz

Find additional dataset information at the following link.

Download Using DataLad

CircleCI status

The following instructions require a basic understanding of UNIX/LINUX command lines. Future portal functionality may include downloads directly from the web browser. Dataset download is currently enabled through DataLad.

Note: The conp-dataset requires version >=0.12.5 of DataLad and version >=8.20200309 of git-annex.

To install DataLad on your system, please refer to the install section of the DataLad Handbook (installation via miniconda is recommended in order to obtain the latest version of DataLad).

1) Initiate the CONP dataset

To initiate the CONP dataset (conp-dataset), run the following command in the directory where you want CONP datasets to be installed:

datalad install https://github.com/CONP-PCNO/conp-dataset.git

2) Install the SIMON-dataset dataset

To install the dataset, go into the created conp-dataset directory and run datalad install on the dataset SIMON-dataset:

cd conp-dataset
datalad install projects/SIMON-dataset

3) Download the SIMON-dataset dataset

Now that the DataLad dataset has been installed, go into the dataset directory under projects/SIMON-dataset.

cd projects/SIMON-dataset

Note that files visible in the dataset are symlinks and will need to be downloaded manually using the datalad get command in the dataset directory:

datalad get <filepath>

Note, if you run datalad get * command, all the files present in the dataset directory will be downloaded.

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