# PracticalMEEG - Aix-en-Provence 2022

PracticalMEEG aims at providing an intensive three day training to MEG and EEG analysts. It
will provide its attendees with the ability to create a full analysis pipeline with exemplar
(or their own) data in one or several of four leading software dedicated to MEG and EEG
analysis (Brainstorm, FieldTrip, EEGLAB, and MNE-python). On demand, we hope to provide
attendees with the opportunity to bridge across toolboxes and weave their own complex
multi-software pipeline.

More details can be found on http://www.fieldtriptoolbox.org/workshop/practicalmeeg2022/.

The data used during the PracticalMEEG hands-on sessions is part of a dataset recorded by Rik
Henson and colleagues. We will mainly work with the MEG data of a single representative
subject; for the group statistics we will work with source-level processed data from all
subjects.

Here we share a pruned version of the ds000117 dataset, only including the files that are
needed for the workshop. The size of the total dataset is 84 GB, the pruned version is about 12
GB.

Furthermore, the derivatives directory contains the results of the specific FieldTrip analysis
pipelines. These serve as the input for the group-level statistics tutorial.

## Downloading the original data

The original data can be found on https://doi.org/10.18112/openneuro.ds000117.v1.0.5

To download the original data, we recommend to use the Amazon AWS command line utility
like this:

    aws s3 sync --no-sign-request s3://openneuro.org/ds000117 ds000117-orig/

or using DataLad like this:

    datalad install -r https://github.com/OpenNeuroDatasets/ds000117.git