This deposit contains data collected as part of the "UK7T Network" (http://www.uk7t.org/). The UK7T Network is a consortium of 7 tesla (7T) MRI capable sites in the UK. It was established with the aim of promoting the use of 7T MRI and ensuring all sites in the consortium have the ability to collect and meaningfully compare high quality neuroimaging data. This deposit is the results of the Networks harmonisation efforts.

This deposit contains the UK7T Network's harmonised MRI neuroimaging protocols. It also contains example datasets from a single identical subject from each of the Network's scanners collected using these protocols. The protocols for each of the three types of scanner are supplied in .pdf or .chm format. Notes on the pulse sequence version and reconstruction code are contained in explanatory .txt files. The example data is supplied in both DICOM (.ima) and NIfTI (.nii.gz) format. Due to the size and number of the "Multi-band EPI" Philips DICOM files, these are not included. They are available on request, whilst the NIfTI files for these scans are included. NIfTI files were converted by dcm2niix (https://github.com/rordenlab/dcm2niix) and can be viewed using e.g. FSLeyes (https://fsl.fmrib.ox.ac.uk). This data release is intended to accompany explanatory publications.

Structure:
	The Protocols .zip folder contains .pdf files describing the harmonised protocols 	from Siemens scanners. The .zip folders contain protocol information for the Philips 	systems. A .chm viewer will be required to read the Philips protocols. The .txt 	files within this folder describe some additional requirements to run the harmonised 	protocols.

	The DICOM.zip file contains DICOM imaging format data of the harmonised protocols 	from a single subject acquired on all scanners in the UK7T Network.

	The NIfTI.zip file contains the DICOM data converted to NIfTI format using dcm2niix.

	The fMRItasks.zip file contains PsychoPy scripts for simple fMRI task presentations 	compatible with the harmonised fMRI protocols in this dataset.

Referencing:
	If you wish to use this dataset please contact the author of this deposit to obtain 	the latest referencing information.

William Clarke
7th November 2018
University of Oxford
william.clarke@ndcn.ox.ac.uk