standards > model/format > bsg-s001210


ready Unidata's Network Common Data Form Data Model

Abbreviation: netCDF


General Information
Unidata’s Network Common Data Form (netCDF) is a set of software libraries and a machine-independent data format that support the creation, access, and sharing of array-oriented scientific data. This record describes the data format and not the software libraries. The netCDF Data Model is also a community standard for sharing scientific data. The data model of dimensions, variables, and attributes, which define the The Classic Model, was extended starting with netCDF-4.0. The new The Enhanced Data Model supports the classic model in a completely backward-compatible way, while allowing access to new features such as groups, multiple unlimited dimensions, and new types, including user-defined types. For maximum interoparability with existing code, new data should be created with the The Classic Model. The Classic Model was introduced with the very first netCDF release, and is still the core of all netCDF files.

Homepage https://www.unidata.ucar.edu/software/netcdf/docs/netcdf_data_model.html

Developed in United States

Created in 1994

Taxonomic range

Knowledge Domains  BETA

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Awaiting DOI assignment.


Record added: May 10, 2018, 10:01 a.m.
Record updated: July 10, 2018, 4:36 p.m. by The FAIRsharing Team.

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Applies to: Data use




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Implementing Databases (1)
4TU.Centre for Research Data
4TU.Centre for Research Data (short: 4TU.ResearchData) was started in 2008 as an initiative of the three technical universities in the Netherlands – Delft University of Technology, Eindhoven University of Technology, and the University of Twente. The ambition was, and still is, to create and maintain a national state-of-the-art facility for storing and preserving science and engineering research data and for making those data openly accessible. The data archive has been fully operational since 2010 and it has evolved to become a trusted and certified repository for science and engineering. By publishing data-sets via 4TU.ResearchData you will make your data FAIR. Every single data-set is assigned a DOI and metadata (F), the archive is accessible 24/7 online worldwide via https protocol (A), the data-files adhere to community and preservation standards (I), and a readme-file and usage license is provided for every data-set (R). This archive is accessible and usable for any researcher from the science and engineering disciplines. Please visit our website for more details.

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