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Dennis Heimbigner 338f958e46 Force attribute value to be in-range vs causing error.
re: https://github.com/conda-forge/libnetcdf-feedstock/pull/26
(Note: note conda-forge, not Unidata).
Revert dap2 code to 4.4.1.1. behavior so that attribute values
are forced into a specific range. Current behavior generates
error if an attribute value is out of range.
2017-10-23 18:27:43 -06:00
.github Put CONTRIBUTING.md back in top level of repository. 2016-02-24 10:55:56 -07:00
cmake
dap4_test Added CMakeLists.txt to release distribution files. 2017-09-27 13:05:57 -06:00
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libdap2 Force attribute value to be in-range vs causing error. 2017-10-23 18:27:43 -06:00
libdap4 Updated an issue with libcurl and dap4 on Windows 2017-09-25 17:38:48 -06:00
libdispatch Merge branch 'patch-1' of https://github.com/gsjaardema/netcdf-c into par-hang-fix 2017-10-16 11:01:24 -06:00
liblib Updated SO version, other little issue with ncdump Makefile.am. 2017-10-17 14:56:22 -06:00
libsrc Working on getting cdf5 tests running. 2017-09-15 18:00:28 -06:00
libsrc4 Applied fix for a stack buffer overflow into 4.5.0 release branch. 2017-08-08 13:18:53 -06:00
libsrcp
nc_test Modified t_nc.c to only test cdf5 if it has been enabled. 2017-10-16 11:19:24 -06:00
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ncgen Disabled CDF5 generation support for ncgen if USE_CDF5 is false. 2017-09-18 13:31:15 -06:00
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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.