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.


Countries that developed this resource United States

Created in 2019

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Knowledge Domains 

How to cite this record NWB:N 2.0; Neurodata Without Borders: Neurophysiology 2.0; DOI:; Last edited: May 4, 2020, 11:09 a.m.; Last accessed: Sep 29 2021 2:08 a.m.

This record is maintained by INCF_Mat

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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Additional Information


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Access / Retrieve Data


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 (2)
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.

DANDI: Distributed Archives for Neurophysiology Data Integration
The BRAIN Initiative archive for publishing and sharing cellular neurophysiology data including electrophysiology, optophysiology, and behavioral time-series, and images from immunostaining experiments.

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