standards > model/format > DOI:10.25504/FAIRsharing.nPfuTE
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ready Neurodata Without Borders: Neurophysiology 2.0

Abbreviation: NWB:N 2.0


General Information
Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 is a data standard for neurophysiology, that provideds neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data. NWB:N 2.0 is designed to store a variety of neurophysiology data, including from intracellular and extracellular electrophysiology experiments, optical physiology experiments, as well as tracking and stimulus data.

Homepage https://www.nwb.org/nwb-neurophysiology/

Countries that developed this resource United States

Created in 2019

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How to cite this record FAIRsharing.org: NWB:N 2.0; Neurodata Without Borders: Neurophysiology 2.0; DOI: https://doi.org/10.25504/FAIRsharing.nPfuTE; Last edited: May 4, 2020, 11:09 a.m.; Last accessed: Jun 07 2020 10:03 a.m.


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Record added: April 6, 2020, 3:42 p.m.
Record updated: April 20, 2020, 1:13 p.m. by The FAIRsharing Team.

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Publications

Neurodata Without Borders: Creating a Common Data Format for Neurophysiology.

Teeters JL,Godfrey K,Young R,Dang C,Friedsam C,Wark B,Asari H,Peron S,Li N,Peyrache A,Denisov G,Siegle JH,Olsen SR,Martin C,Chun M,Tripathy S,Blanche TJ,Harris K,Buzsaki G,Koch C,Meister M,Svoboda K,Sommer FT
Neuron 2015

View Paper (PubMed) View Publication

NWB:N 2.0: An Accessible Data Standard for Neurophysiology

Oliver Rübel, Andrew Tritt, Benjamin Dichter, Thomas Braun, Nicholas Cain, Nathan Clack, Thomas J. Davidson, Max Dougherty, Jean-Christophe Fillion-Robin, Nile Graddis, Michael Grauer, Justin T. Kiggins, Lawrence Niu, Doruk Ozturk, William Schroeder, Ivan Soltesz, Friedrich T. Sommer, Karel Svoboda, Ng Lydia, Loren M. Frank, Kristofer Bouchard
bioRxiv 2019

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Related Databases (1)
EBRAINS
EBRAINS is a platform for sharing brain research data ranging in type as well as spatial and temporal scale. The EBRAINS data curation service aims to provide maximum impact, visibility, reusability, and longevity. The user interface of the EBRAINS Knowledge Graph allows you to easily find data of interest. EBRAINS hosts a wide range of data types and models from different species. All data are well described and can be accessed immediately for further analysis.

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