Neuroscience Information Exchange Format
How to cite this record FAIRsharing.org: NIX; Neuroscience Information Exchange Format; DOI: https://doi.org/10.25504/FAIRsharing.kK7dbW; Last edited: Nov. 11, 2020, 2:59 p.m.; Last accessed: Jan 26 2021 12:14 a.m.
Record added: April 9, 2018, 4:22 p.m.
Record updated: Nov. 10, 2020, 5:44 p.m. by twachtler.
Edits to 'https://fairsharing.org/FAIRsharing.kK7dbW' by 'twachtler' at 17:44, 10 Nov 2020 (approved): 'homepage' has been modified: Before: https://github.com/G-Node/nix/wiki After: https://g-node.github.io/nix/ 'name' has been modified: Before: NeuroInformatics Exchange Format After: Neuroscience Information Exchange Format
Edits to 'https://fairsharing.org/FAIRsharing.kK7dbW' by 'The FAIRsharing Team' at 13:35, 15 Oct 2018 (approved): 'domains' has been modified: Before: Life Science Neuroinformatics Neuroscience After: Health sciences Neuroinformatics Neuroscience Added: Health sciences Removed: Life Science 'description' has been modified: Before: NIX defines a data model for annotated scientific datasets, i.e. data together with metadata, and a corresponding file format based on HDF5 for storing and sharing such datasets. After: NIX defines a data model for annotated scientific datasets, i.e. data together with metadata, and a corresponding file format based on HDF5 for storing and sharing such datasets. In particular, this format was developed for storing electrophysiology and other neuroscience data together with their metadata. However, the data model is also able to represent other kinds of data used in the field e.g. image data or image stacks.
Edits to 'https://fairsharing.org/FAIRsharing.kK7dbW' by 'The FAIRsharing Team' at 19:09, 09 Apr 2018 (approved): 'deprecation_reason' has been modified: Before: None After: None
|NIX Python bindings||https://github.com/G-Node/nixpy/releases/latest||latest|
|NIX Matlab bindings||https://github.com/G-Node/nix-mx/releases/latest||latest|
No XSD schemas defined
Conditions of UseApplies to: Data use
File format and library for neuroscience data and metadata
Stoewer A, Kellner CJ, Benda J, Wachtler T, Grewe J
Front. Neuroinform. Conference Abstract: Neuroinformatics 2014 2014
No guidelines defined
No semantic standards defined
Models and Formats
No identifier schema standards defined
No metrics standards defined
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.
This record is not implemented by any policy.
Federal Ministry of Education and Research (BMBF), Berlin, Germany (Government body)
01GQ0801, 01GQ1302 (Federal Ministry of Education and Research (BMBF), Berlin, Germany)