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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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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 |
format | Online Article Text |
id | pubmed-9650770 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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