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Merge pull request #2172 from Dave-Allured/main
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cmake Add filter support to NCZarr 2021-09-02 17:04:26 -06:00
conda.recipe Attempting appveyor support. Based on work by @ocefpaf, see https://github.com/Unidata/netcdf-c/pull/347 for more information. 2018-04-24 11:28:22 -06:00
ctest_scripts Added a ctest script with DAP tests enabled. 2020-02-11 15:09:29 -07:00
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libsrcp adding quantize functions to all the dispatch tables 2021-08-24 01:26:44 -06:00
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plugins (1) improve INI parser (2) Fix make discheck 2021-09-30 13:45:09 -06:00
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INSTALL.md Added a note about running autoreconf -if in support of https://github.com/Unidata/netcdf-c/issues/1397 2019-08-27 11:24:25 -06:00
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mclean Fix pull request https://github.com/Unidata/netcdf-c/pull/374 (dap4.dmh) 2017-04-03 21:39:44 -06:00
nc-config.cmake.in Improve the building of NCZARR S3 support in CMake and Autoconf 2020-10-16 15:04:51 -06:00
nc-config.in Improve the building of NCZARR S3 support in CMake and Autoconf 2020-10-16 15:04:51 -06:00
netcdf.pc.in Fix typo, exploring solution to https://github.com/Unidata/netcdf-c/issues/1324 2019-02-27 14:14:53 -07:00
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travis.yml Additional Fixes to NCZarr 2020-12-16 20:48:02 -07:00
wjna Backadded the fix of Jira-228 2014-06-13 13:41:11 -06:00

Unidata NetCDF

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About

The Unidata network Common Data Form (netCDF) is an interface for scientific data access and a freely-distributed software library that provides an implementation of the interface. The netCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data. The current netCDF software provides C interfaces for applications and data. Separate software distributions available from Unidata provide Java, Fortran, Python, and C++ interfaces. They have been tested on various common platforms.

Properties

NetCDF files are self-describing, network-transparent, directly accessible, and extendible. Self-describing means that a netCDF file includes information about the data it contains. Network-transparent means that a netCDF file is represented in a form that can be accessed by computers with different ways of storing integers, characters, and floating-point numbers. Direct-access means that a small subset of a large dataset may be accessed efficiently, without first reading through all the preceding data. Extendible means that data can be appended to a netCDF dataset without copying it or redefining its structure.

Use

NetCDF is useful for supporting access to diverse kinds of scientific data in heterogeneous networking environments and for writing application software that does not depend on application-specific formats. For information about a variety of analysis and display packages that have been developed to analyze and display data in netCDF form, see

More information

For more information about netCDF, see

Latest releases

You can obtain a copy of the latest released version of netCDF software for various languages:

Copyright and licensing information can be found here, as well as in the COPYRIGHT file accompanying the software

Installation

To install the netCDF-C software, please see the file INSTALL in the netCDF-C distribution, or the (usually more up-to-date) document:

Documentation

A language-independent User's Guide for netCDF, and some other language-specific user-level documents are available from:

A mailing list, netcdfgroup@unidata.ucar.edu, exists for discussion of the netCDF interface and announcements about netCDF bugs, fixes, and enhancements. For information about how to subscribe, see the URL

Feedback

We appreciate feedback from users of this package. Please send comments, suggestions, and bug reports to support-netcdf@unidata.ucar.edu.