730aa1f6bc
There were some irregularities in the flags for handling NCZarr S3 support. The primary change is to regularize the flags controlling this to the following. 1. Automake: --enable-nczarr-s3 and CMake: ENABLE_NCZARR_S3 2. Automake: --enable-nczarr-s3-tests and CMake: ENABLE_NCZARR_S3_TESTS Flag 1 indicates that NCZarr should be built with S3 support enabled. Flag 2 indicates that the NCZarr S3 tests should be run These two flags are separate because running the NCZarr S3 tests requires access to protected S3 resources. Currently, running these tests is restricted to Unidata personnel. However, users may want to enable S3 support even if they cannot run the tests. It is, of course, an error to specify 2 without specifying 1. Additionally, if the AWS S3 SDK library is not found, then the NCZARR S3 support and testing must be disabled. Otherwise an error is signaled during the build. Some of these NCZarr and S3 changes are propagated to nc-config. Misc. Other Changes: 1. Allow testing for CYGWIN or MSVC in shell scripts. 2. Add specific test for HDF5 library version 1.10.6. This is encoded as "HDF5_UTF8_PATHS" because that is the first version where HDF5 properly supports it under Windows. This is used in hdf5internal/nc4_ndf5_ansi_to_utf8. 3. Add a AM Conditional -- AX_IGNORE -- for use in testing when it is desirable to temporarily suppress Makefile code. 4. Add MULTIFILTER flag to CMakeLists.txt
Unidata NetCDF
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
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:
- Language-independent User's Guide
- NetCDF-C Tutorial
- Fortran-90 User's Guide
- Fortran-77 User's Guide
- netCDF-Java/Common Data Model library
- netCDF4-python
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.