Biophysiological Signals

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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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Dataset Details

Citation Author(s):
Submitted by:
Akshay Ravindran
Last updated:
Wed, 03/28/2018 - 10:50
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: Jun. 22, 2018.
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doi = {10.21227/H23W88},
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author = { },
publisher = {IEEE Dataport},
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} }
TY - DATA
T1 - Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H23W88
ER -
. (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:
Wed, 03/28/2018 - 10:50
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: Jun. 22, 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:
Sat, 06/16/2018 - 23:05
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: Jun. 22, 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

Segmented EEG Data from 12 Subjects during Left and Right Bicep Flexion


Electroencephalography (EEG) signal data was collected from twelve healthy subjects with no known musculoskeletal or neurological deficits (mean age 25.5 ± 3.7, 11 male, 1 female, 1 left handed, 11 right handed) using an EGI Geodesics© Hydrocel EEG 64-Channel spongeless sensor net. All subjects gave their informed consent for inclusion before they participated in the study. The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics Committee of the University of Wisconsin-Milwaukee (17.352).

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Dataset Details

Citation Author(s):
Submitted by:
Joshua Myszewski
Last updated:
Sat, 05/19/2018 - 12:01
DOI:
10.21227/H2F66Q
Data Format:
 
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[1] , "Segmented EEG Data from 12 Subjects during Left and Right Bicep Flexion", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2F66Q. Accessed: Jun. 22, 2018.
@data{h2f66q-18,
doi = {10.21227/H2F66Q},
url = {http://dx.doi.org/10.21227/H2F66Q},
author = { },
publisher = {IEEE Dataport},
title = {Segmented EEG Data from 12 Subjects during Left and Right Bicep Flexion},
year = {2018} }
TY - DATA
T1 - Segmented EEG Data from 12 Subjects during Left and Right Bicep Flexion
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2F66Q
ER -
. (2018). Segmented EEG Data from 12 Subjects during Left and Right Bicep Flexion. IEEE Dataport. http://dx.doi.org/10.21227/H2F66Q
, 2018. Segmented EEG Data from 12 Subjects during Left and Right Bicep Flexion. Available at: http://dx.doi.org/10.21227/H2F66Q.
. (2018). "Segmented EEG Data from 12 Subjects during Left and Right Bicep Flexion." Web.
1. . Segmented EEG Data from 12 Subjects during Left and Right Bicep Flexion [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2F66Q
. "Segmented EEG Data from 12 Subjects during Left and Right Bicep Flexion." doi: 10.21227/H2F66Q

ISRMyo-I


The published sEMG database was captured by the Intelligent System and Biomedical Robotics Group at University of Portsmouth, leaded by Prof. Honghai Liu.

 

Six subjects were volunteered for data capturing, and the sEMG data were captured in ten separate days. We manually separated the whole database into two parts: training dataset (the first 7 days) and testing dataset(the last 3 days). For each subject, two folders exist, one for training and the other for test. 

 

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Dataset Details

Citation Author(s):
Submitted by:
Yinfeng Fang
Last updated:
Tue, 03/27/2018 - 19:47
DOI:
10.21227/H28364
 
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[1] , "ISRMyo-I", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H28364. Accessed: Jun. 22, 2018.
@data{h28364-18,
doi = {10.21227/H28364},
url = {http://dx.doi.org/10.21227/H28364},
author = { },
publisher = {IEEE Dataport},
title = {ISRMyo-I},
year = {2018} }
TY - DATA
T1 - ISRMyo-I
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H28364
ER -
. (2018). ISRMyo-I. IEEE Dataport. http://dx.doi.org/10.21227/H28364
, 2018. ISRMyo-I. Available at: http://dx.doi.org/10.21227/H28364.
. (2018). "ISRMyo-I." Web.
1. . ISRMyo-I [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H28364
. "ISRMyo-I." doi: 10.21227/H28364

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: Jun. 22, 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: Jun. 22, 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.

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Dataset Details

Citation Author(s):
Submitted by:
Sin Kuen Hawkins
Last updated:
Fri, 04/20/2018 - 15:35
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: Jun. 22, 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