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Open datasets

Owned by Maximilien CHAUMON
Last updated: Nov 07, 2019

Open datasets at CENIR

We have downloaded a number of open datasets available online on our local network. You are welcome to make a copy of these datasets for your own analysis.

All datasets are in

/network/lustre/iss01/cenir/analyse/meeg/99_OPEN_DATASETS

HCP

The Human Connectome Project data (HCP) contains 95 MEG subjects. It is available in the subfolder called HCP. For each subject, we hav:

  • resting state data
  • Working Memory
  • Story listening
  • Extensive anatomical data (MEG anatomy and extended structural preprocessed data).

Check this page for more detail on the MEG pipelines: https://www.humanconnectome.org/software/hcp-meg-pipelines

CAM-CAN

The cam-can dataset. It is available in the subfolder called XXX Lydia SAFIEDDINE (Unlicensed)

BIDS dataset 'multisubject-multimodal-face-processing'

downloaded from https://openneuro.org/datasets/ds000117/versions/1.0.3/download

Wakeman, D.G., Henson, R.N., 2015. A multi-subject, multi-modal human neuroimaging dataset. Scientific Data 2, 150001. https://doi.org/10.1038/sdata.2015.1

https://www.nature.com/articles/sdata20151

"We describe data acquired with multiple functional and structural neuroimaging modalities on the same nineteen healthy volunteers. The functional data include Electroencephalography (EEG), Magnetoencephalography (MEG) and functional Magnetic Resonance Imaging (fMRI) data, recorded while the volunteers performed multiple runs of hundreds of trials of a simple perceptual task on pictures of familiar, unfamiliar and scrambled faces during two visits to the laboratory. The structural data include T1-weighted MPRAGE, Multi-Echo FLASH and Diffusion-weighted MR sequences. Though only from a small sample of volunteers, these data can be used to develop methods for integrating multiple modalities from multiple runs on multiple participants, with the aim of increasing the spatial and temporal resolution above that of any one modality alone. They can also be used to integrate measures of functional and structural connectivity, and as a benchmark dataset to compare results across the many neuroimaging analysis packages. The data are freely available from https://openfmri.org/."