“Multi-dimensional sampling of Individual Brains (MULDS)” dataset has been collected as part of the research project entitled ‘Development of network dynamics modeling methods for human brain data simulation systems’, aiming at bridging four brain imaging modalities fMRI, MEG, EEG and NIRS using brain structural information T1, T2 and diffusion MRI at the level of individual brain. The dataset includes four brain activity measurements during four tasks and three brain structure measurements of 5 subjects with advanced measurement protocols (see the reference manual for more details). You may use this very rich dataset for the purpose of scientific investigation, teaching, method development and so on.
The dataset is provided to you under a Creative Commons Attribution 4.0 International License (CC BY 4.0). The basic terms may be accessed here (https://creativecommons.org/licenses/by/4.0/). When you download or use the dataset, you are agreeing to comply with the terms of a CC BY 4.0 license, and also agreeing to acknowledging the dataset as follows.
If you publish manuscripts using this dataset, you agree to acknowledge the MULDS dataset as a source of data and include sentences similar to the following: “Data used in the preparation of this work were obtained from the MULDS dataset (URL) gathered by investigators in ATR, Japan with funding support from the National Institute of Information and Communications Technology, Japan.”
|6||All Data (5 subjects)||61.4GB|
** When you unzip downloaded files, you need to use an unzip tool that supports zip64 format.
The MULDS dataset was collected by the members in ATR, Neural information analysis laboratories, with funding support from the National Institute of Information and Communications Technology (NICT,Japan) as part of the research project entitled ‘Development of network dynamics modeling methods for human brain data simulation systems’ (grant # 173).
If you have any inquiries on this dataset, please send an e-mail to the following mail address;
Okito Yamashita, Department head in ATR Computational Neuroscience Laboratories.