Biophysiological Signals

Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children


One of the grand challenges in neuroscience is to understand the developing brain ‘in action and in context’ in complex natural settings. To address this challenge, it is imperative to acquire brain data from freely-behaving children to assay the variability and individuality of neural patterns across gender and age.

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Citation Author(s):
Submitted by:
Akshay Ravindran
Last updated:
Fri, 12/22/2017 - 21:48
DOI:
10.21227/H23W88
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[1] , "Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children ", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H23W88. Accessed: Feb. 17, 2018.
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title = {Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children },
year = {2017} }
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T1 - Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children
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. (2017). Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children . IEEE Dataport. http://dx.doi.org/10.21227/H23W88
, 2017. Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children . Available at: http://dx.doi.org/10.21227/H23W88.
. (2017). "Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children ." Web.
1. . Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H23W88
. "Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children ." doi: 10.21227/H23W88

Mobile EEG Recordings in an Art Museum Setting


Recent advances in scalp electroencephalography (EEG) as a neuroimaging tool have now allowed researchers to overcome technical challenges and movement restrictions typical in traditional neuroimaging studies.  Fortunately, recent mobile EEG devices have enabled studies involving cognition and motor control in natural environments that require mobility, such as during art perception and production in a museum setting, and during locomotion tasks.

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Dataset Details

Citation Author(s):
Submitted by:
Justin Brantley
Last updated:
Fri, 12/22/2017 - 11:40
DOI:
10.21227/H2TM00
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[1] , "Mobile EEG Recordings in an Art Museum Setting", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2TM00. Accessed: Feb. 17, 2018.
@data{h2tm00-17,
doi = {10.21227/H2TM00},
url = {http://dx.doi.org/10.21227/H2TM00},
author = { },
publisher = {IEEE Dataport},
title = {Mobile EEG Recordings in an Art Museum Setting},
year = {2017} }
TY - DATA
T1 - Mobile EEG Recordings in an Art Museum Setting
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2TM00
ER -
. (2017). Mobile EEG Recordings in an Art Museum Setting. IEEE Dataport. http://dx.doi.org/10.21227/H2TM00
, 2017. Mobile EEG Recordings in an Art Museum Setting. Available at: http://dx.doi.org/10.21227/H2TM00.
. (2017). "Mobile EEG Recordings in an Art Museum Setting." Web.
1. . Mobile EEG Recordings in an Art Museum Setting [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2TM00
. "Mobile EEG Recordings in an Art Museum Setting." doi: 10.21227/H2TM00

Decoding local field potentials for neural interfaces


This dataset is associated with the paper, Jackson & Hall 2016, which is open source, and can be found here: http://ieeexplore.ieee.org/document/7742994/

The DataPort Repository contains the data used primarily for generating Figure 1.

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OPEN ACCESS Dataset Details

Citation Author(s):
Submitted by:
Thomas Hall
Last updated:
Thu, 10/12/2017 - 13:48
DOI:
10.21227/H2VW5Z
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[1] , "Decoding local field potentials for neural interfaces", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2VW5Z. Accessed: Feb. 17, 2018.
@data{h2vw5z-17,
doi = {10.21227/H2VW5Z},
url = {http://dx.doi.org/10.21227/H2VW5Z},
author = { },
publisher = {IEEE Dataport},
title = {Decoding local field potentials for neural interfaces},
year = {2017} }
TY - DATA
T1 - Decoding local field potentials for neural interfaces
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2VW5Z
ER -
. (2017). Decoding local field potentials for neural interfaces. IEEE Dataport. http://dx.doi.org/10.21227/H2VW5Z
, 2017. Decoding local field potentials for neural interfaces. Available at: http://dx.doi.org/10.21227/H2VW5Z.
. (2017). "Decoding local field potentials for neural interfaces." Web.
1. . Decoding local field potentials for neural interfaces [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2VW5Z
. "Decoding local field potentials for neural interfaces." doi: 10.21227/H2VW5Z

IEEE Brain Data Bank Challenge - Glasgow, Scotland


Terabytes of brain EEG data are available through open sources, collected from tests associated with human cognitive capability, stroke patient recovery, class learning ability, and other social environments, over a wide range of demographics. Some also play with stimulus such as audio, music, video, lights and digital games. 


The submission period for this data competition has ended.

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Dataset Details

Citation Author(s):
Submitted by:
Sin Kuen Hawkins
Last updated:
Thu, 02/15/2018 - 09:50
DOI:
10.21227/H25K8S
 
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[1] , "IEEE Brain Data Bank Challenge - Glasgow, Scotland", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H25K8S. Accessed: Feb. 17, 2018.
@data{h25k8s-17,
doi = {10.21227/H25K8S},
url = {http://dx.doi.org/10.21227/H25K8S},
author = { },
publisher = {IEEE Dataport},
title = {IEEE Brain Data Bank Challenge - Glasgow, Scotland},
year = {2017} }
TY - DATA
T1 - IEEE Brain Data Bank Challenge - Glasgow, Scotland
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H25K8S
ER -
. (2017). IEEE Brain Data Bank Challenge - Glasgow, Scotland. IEEE Dataport. http://dx.doi.org/10.21227/H25K8S
, 2017. IEEE Brain Data Bank Challenge - Glasgow, Scotland. Available at: http://dx.doi.org/10.21227/H25K8S.
. (2017). "IEEE Brain Data Bank Challenge - Glasgow, Scotland." Web.
1. . IEEE Brain Data Bank Challenge - Glasgow, Scotland [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H25K8S
. "IEEE Brain Data Bank Challenge - Glasgow, Scotland." doi: 10.21227/H25K8S

IEEE Brain Data Bank Challenge - Berlin Germany


Terabytes of brain EEG data are available through open sources, collected from tests associated with human cognitive capability, stroke patient recovery, class learning ability, and other social environments, over a wide range of demographics. Some also play with stimulus such as audio, music, video, lights and digital games. 


The submission period for this data competition has ended.

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Dataset Details

Citation Author(s):
Submitted by:
Sin Kuen Hawkins
Last updated:
Wed, 10/11/2017 - 15:44
DOI:
10.21227/H2G347
 
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[1] , "IEEE Brain Data Bank Challenge - Berlin Germany", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2G347. Accessed: Feb. 17, 2018.
@data{h2g347-17,
doi = {10.21227/H2G347},
url = {http://dx.doi.org/10.21227/H2G347},
author = { },
publisher = {IEEE Dataport},
title = {IEEE Brain Data Bank Challenge - Berlin Germany},
year = {2017} }
TY - DATA
T1 - IEEE Brain Data Bank Challenge - Berlin Germany
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2G347
ER -
. (2017). IEEE Brain Data Bank Challenge - Berlin Germany. IEEE Dataport. http://dx.doi.org/10.21227/H2G347
, 2017. IEEE Brain Data Bank Challenge - Berlin Germany. Available at: http://dx.doi.org/10.21227/H2G347.
. (2017). "IEEE Brain Data Bank Challenge - Berlin Germany." Web.
1. . IEEE Brain Data Bank Challenge - Berlin Germany [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2G347
. "IEEE Brain Data Bank Challenge - Berlin Germany." doi: 10.21227/H2G347

IEEE Brain Data Bank Challenge - St. Petersburg, Russia


Terabytes of brain EEG data are available through open sources, collected from tests associated with human cognitive capability, stroke patient recovery, class learning ability, and other social environments, over a wide range of demographics. Some also play with stimulus such as audio, music, video, lights and digital games.  


The submission period for this data competition has ended.

Dataset Files

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Dataset Details

Citation Author(s):
Submitted by:
Sin Kuen Hawkins
Last updated:
Thu, 08/03/2017 - 12:31
DOI:
10.21227/H2588P
 
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[1] , "IEEE Brain Data Bank Challenge - St. Petersburg, Russia", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2588P. Accessed: Feb. 17, 2018.
@data{h2588p-17,
doi = {10.21227/H2588P},
url = {http://dx.doi.org/10.21227/H2588P},
author = { },
publisher = {IEEE Dataport},
title = {IEEE Brain Data Bank Challenge - St. Petersburg, Russia},
year = {2017} }
TY - DATA
T1 - IEEE Brain Data Bank Challenge - St. Petersburg, Russia
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2588P
ER -
. (2017). IEEE Brain Data Bank Challenge - St. Petersburg, Russia. IEEE Dataport. http://dx.doi.org/10.21227/H2588P
, 2017. IEEE Brain Data Bank Challenge - St. Petersburg, Russia. Available at: http://dx.doi.org/10.21227/H2588P.
. (2017). "IEEE Brain Data Bank Challenge - St. Petersburg, Russia." Web.
1. . IEEE Brain Data Bank Challenge - St. Petersburg, Russia [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2588P
. "IEEE Brain Data Bank Challenge - St. Petersburg, Russia." doi: 10.21227/H2588P