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Somatosensory data for group analyses in the Frontiers Reseach Topic: From raw MEG/EEG to publication: how to perform MEG/EEG group analysis with free academic software.

If you use the data or the analysis pipeline, please refer to: Andersen, L.M., 2018. Group Analysis in MNE-Python of Evoked Responses from a Tactile Stimulation Paradigm: A Pipeline for Reproducibility at Every Step of Processing, Going from Individual Sensor Space Repres

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CreatorLau Møller Andersen
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Published2017-10-01
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DOI10.5281/zenodo.1134776
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Downloads7,210
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Licensecc-by-sa-4.0
File Size14.3 GB
Data TypeDataset
Published2017
Licensecc-by-sa-4.0
Total Views3,343
Total Downloads7,210

If you use the data or the analysis pipeline, please refer to:

Andersen, L.M., 2018. Group Analysis in MNE-Python of Evoked Responses from a Tactile Stimulation Paradigm: A Pipeline for Reproducibility at Every Step of Processing, Going from Individual Sensor Space Representations to an across-Group Source Space Representation. Front. Neurosci. 12. https://doi.org/10.3389/fnins.2018.00006

and/or

Andersen, L.M., 2018. Group Analysis in FieldTrip of Time-Frequency Responses: A Pipeline for Reproducibility at Every Step of Processing, Going From Individual Sensor Space Representations to an Across-Group Source Space Representation. Front. Neurosci. 12. https://doi.org/10.3389/fnins.2018.00261

IMPORTANT
Version 2 only contains subjects 1, 18, 20 and a new version of the FreeSurfer folder. This is due to a (very) wrong co-registration for subject 1 and due to 18 and 20 having had their anatomy files mixed up. This has now been fixed. For all other subjects, please see version 1. Also, get the updated scripts from github instead at: https://github.com/ualsbombe/omission_frontiers.git

 

Dataset with tactile expectations to be analysed with pipelines for either MNE-Python or FieldTrip, aiming to follow the MEG-BIDS structure

Unzipping the data

Data is compressed into twenty-two different zip-files, one for each of the twenty subjects, one for the FreeSurfer data, one for the scripts files . The easiest way to uncompress and prepare the analysis directories is to create a directory in your home folder called "analyses", which has a sub-directory called "omission_frontiers_BIDS-FieldTrip", which has a sub-directory called "data".
Thus, as an example, in my case, I should have the path:    /home/lau/analyses/omission_frontiers_BIDS-FieldTrip/data

Path:
on a Linux system the path would be   /home/your_name/analyses/omission_frontiers_BIDS-FieldTrip/data
on a macOS system the path would be   /Users/your_name/analyses/omission_frontiers_BIDS-FieldTrip/data
on a Windows system the path would be C:_name_frontiers_BIDS-FieldTrip

Steps for unzipping:

1. Set up the folder above according to your operating system, following the examples above and substitute "your_name" for your user name.
2. Unzip each of the subject folders into the data folder (sub-01 – sub-20) (/home/your_name/analyses/omission_frontiers_BIDS-FieldTrip/data)
3. Also unzip the FreeSurfer folder into the data folder (/home/yo

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Somatosensory data for group analyses in the Frontiers… (Full Dataset)14.3 GB
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ReadmeVia DOI record
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Files are hosted on the source repository. Click download to access the full dataset.

Lau Møller Andersen (2017). Somatosensory data for group analyses in the Frontiers Reseach Topic: From raw MEG/EEG to publication: how to perform MEG/EEG group analysis with free academic software.. https://doi.org/10.5281/zenodo.1134776