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NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data

To preserve scientific data created by publicly and/or philanthropically funded research projects and to make it ready for exploitation using recent and ongoing advances in advanced and large-scale computational modeling methods, publicly available data must use in common, now-evolving standards for...

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Autores principales: Delorme, Arnaud, Truong, Dung, Youn, Choonhan, Sivagnanam, Subhashini, Stirm, Claire, Yoshimoto, Kenneth, Poldrack, Russell A, Majumdar, Amitava, Makeig, Scott
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650770/
https://www.ncbi.nlm.nih.gov/pubmed/36367313
http://dx.doi.org/10.1093/database/baac096
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author Delorme, Arnaud
Truong, Dung
Youn, Choonhan
Sivagnanam, Subhashini
Stirm, Claire
Yoshimoto, Kenneth
Poldrack, Russell A
Majumdar, Amitava
Makeig, Scott
author_facet Delorme, Arnaud
Truong, Dung
Youn, Choonhan
Sivagnanam, Subhashini
Stirm, Claire
Yoshimoto, Kenneth
Poldrack, Russell A
Majumdar, Amitava
Makeig, Scott
author_sort Delorme, Arnaud
collection PubMed
description To preserve scientific data created by publicly and/or philanthropically funded research projects and to make it ready for exploitation using recent and ongoing advances in advanced and large-scale computational modeling methods, publicly available data must use in common, now-evolving standards for formatting, identifying and annotating should share data. The OpenNeuro.org archive, built first as a repository for magnetic resonance imaging data based on the Brain Imaging Data Structure formatting standards, aims to house and share all types of human neuroimaging data. Here, we present NEMAR.org, a web gateway to OpenNeuro data for human neuroelectromagnetic data. NEMAR allows users to search through, visually explore and assess the quality of shared electroencephalography (EEG), magnetoencephalography and intracranial EEG data and then to directly process selected data using high-performance computing resources of the San Diego Supercomputer Center via the Neuroscience Gateway (nsgportal.org, NSG), a freely available web portal to high-performance computing serving a variety of neuroscientific analysis environments and tools. Combined, OpenNeuro, NEMAR and NSG form an efficient, integrated data, tools and compute resource for human neuroimaging data analysis and meta-analysis. Database URL: https://nemar.org
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spelling pubmed-96507702022-11-14 NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data Delorme, Arnaud Truong, Dung Youn, Choonhan Sivagnanam, Subhashini Stirm, Claire Yoshimoto, Kenneth Poldrack, Russell A Majumdar, Amitava Makeig, Scott Database (Oxford) Original Article To preserve scientific data created by publicly and/or philanthropically funded research projects and to make it ready for exploitation using recent and ongoing advances in advanced and large-scale computational modeling methods, publicly available data must use in common, now-evolving standards for formatting, identifying and annotating should share data. The OpenNeuro.org archive, built first as a repository for magnetic resonance imaging data based on the Brain Imaging Data Structure formatting standards, aims to house and share all types of human neuroimaging data. Here, we present NEMAR.org, a web gateway to OpenNeuro data for human neuroelectromagnetic data. NEMAR allows users to search through, visually explore and assess the quality of shared electroencephalography (EEG), magnetoencephalography and intracranial EEG data and then to directly process selected data using high-performance computing resources of the San Diego Supercomputer Center via the Neuroscience Gateway (nsgportal.org, NSG), a freely available web portal to high-performance computing serving a variety of neuroscientific analysis environments and tools. Combined, OpenNeuro, NEMAR and NSG form an efficient, integrated data, tools and compute resource for human neuroimaging data analysis and meta-analysis. Database URL: https://nemar.org Oxford University Press 2022-11-11 /pmc/articles/PMC9650770/ /pubmed/36367313 http://dx.doi.org/10.1093/database/baac096 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Article
Delorme, Arnaud
Truong, Dung
Youn, Choonhan
Sivagnanam, Subhashini
Stirm, Claire
Yoshimoto, Kenneth
Poldrack, Russell A
Majumdar, Amitava
Makeig, Scott
NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data
title NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data
title_full NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data
title_fullStr NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data
title_full_unstemmed NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data
title_short NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data
title_sort nemar: an open access data, tools and compute resource operating on neuroelectromagnetic data
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650770/
https://www.ncbi.nlm.nih.gov/pubmed/36367313
http://dx.doi.org/10.1093/database/baac096
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