Journal
SCIENTIFIC DATA
Volume 6, Issue -, Pages -Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/s41597-019-0105-7
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Funding
- National Institute of Neurological Disorders and Stroke (NINDS) [R37NS21135]
- Gordon and Betty Moore Foundation [GBMF3834]
- Alfred P. Sloan Foundation [2013-10-27]
- Netherlands Organisation for Scientific Research (NWO) [016. VENI.178.048]
- European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013)/ERC Grant [616268 F-TRACT]
- European Union's Horizon 2020 Framework Programme for Research and Innovation [785907, 720270]
- ERC [616268 F-TRACT, 320708]
- Marie Sklodowska-Curie Global Fellowship [658868]
- National Institute of Mental Health Award [R24-MH114705-01]
- Van Wagenen Foundation
- NIH [R01MH111417]
- NIMH [R01MH111417]
- BRAIN Initiative grant [R01MH111417]
- NSF ERC [EEC-1028725]
- Sloan Research Fellowship [FG-2015-66057]
- Whitehall Foundation [2017-12-73]
- National Science Foundation [BCS-1736028]
- Marie Curie Actions (MSCA) [658868] Funding Source: Marie Curie Actions (MSCA)
- European Research Council (ERC) [320708] Funding Source: European Research Council (ERC)
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The Brain Imaging Data Structure (BIDS) is a community-driven specification for organizing neuroscience data and metadata with the aim to make datasets more transparent, reusable, and reproducible. Intracranial electroencephalography (iEEG) data offer a unique combination of high spatial and temporal resolution measurements of the living human brain. To improve internal (re)use and external sharing of these unique data, we present a specification for storing and sharing iEEG data: iEEG-BIDS.
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