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Paper Details

Data Archive for the BRAIN Initiative (DABI).
Sci Data
8
2023
DABI, human
Author NameAffiliation
Dominique DuncanUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California
Rachael GarnerUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California
Harrison C WalkerUniversity of Alabama at Birmingham
Nader PouratianUT Southwestern Medical Center
Arthur W TogaUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California
Arthur W TogaUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California
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Datasets

Dataset
Description
Source Link
Data Archive for the BRAIN InitiativeThis is a data archive funded by the NIH BRAIN Initiative, to ingest, harmonize, aggregate, store, visualize, and disseminate human invasive neurophysiology data, including EEG, ECoG, LFP, single unit activity, etc. The archive also houses synchronized behavioral, imaging, demographic, and other key data. The archive is specifically designed to help BRAIN Initiative researchers organize and analyze their data while fulfilling data-sharing directives from federal agencies and their respective institutions.Link
Data Archive for the BRAIN InitiativeThis is a data archive funded by the NIH BRAIN Initiative, to ingest, harmonize, aggregate, store, visualize, and disseminate human invasive neurophysiology data, including EEG, ECoG, LFP, single unit activity, etc. The archive also houses synchronized behavioral, imaging, demographic, and other key data. The archive is specifically designed to help BRAIN Initiative researchers organize and analyze their data while fulfilling data-sharing directives from federal agencies and their respective institutions.Link
Data Archive for the BRAIN InitiativeThis is a data archive funded by the NIH BRAIN Initiative, to ingest, harmonize, aggregate, store, visualize, and disseminate human invasive neurophysiology data, including EEG, ECoG, LFP, single unit activity, etc. The archive also houses synchronized behavioral, imaging, demographic, and other key data. The archive is specifically designed to help BRAIN Initiative researchers organize and analyze their data while fulfilling data-sharing directives from federal agencies and their respective institutions.Link
Data Archive for the BRAIN InitiativeThis is a data archive funded by the NIH BRAIN Initiative, to ingest, harmonize, aggregate, store, visualize, and disseminate human invasive neurophysiology data, including EEG, ECoG, LFP, single unit activity, etc. The archive also houses synchronized behavioral, imaging, demographic, and other key data. The archive is specifically designed to help BRAIN Initiative researchers organize and analyze their data while fulfilling data-sharing directives from federal agencies and their respective institutions.Link
Release 1.2