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Hierarchical Data Format (HDF) is a set of file formats (HDF4, HDF5) designed to store and organize large amounts of data.Originally developed at the U.S. National Center for Supercomputing Applications, it is supported by The HDF Group, a non-profit corporation whose mission is to ensure continued development of HDF5 technologies and the continued accessibility of data stored in HDF.
Data field value = Jeffrey Tan The above description is a view of data as understood by a user e.g. a person working in Human Resource Department. The above structure can be seen in the hierarchical model, which is one way to organize data in a database. [2] In terms of data storage, data fields are made of bytes and these in turn are made up ...
Common Data Format (CDF) is a library and toolkit that was developed by the National Space Science Data Center (NSSDC) at NASA started in 1985. The software is an interface for the storage and manipulation of multi-dimensional data sets.
It is a binary file format representing planar geometric shapes, text labels, and other information about the layout in hierarchical form (two-dimensional/2D CAD file format). The data can be used to reconstruct all or part of the artwork to be used in sharing layouts, transferring artwork between different tools, or creating photomasks.
Bathymetric Attributed Grid (BAG) is a file format designed to store and exchange bathymetric data.. The implementation of the format was triggered by the large adoption of gridded bathymetry and the need of transferring the required information about bathymetry and associated uncertainty (i.e., metadata) between processing applications.
The format is platform independent, with issues such as endianness being addressed in the software libraries. The data are stored in a fashion that allows efficient subsetting. Starting with version 4.0, the netCDF API [6] allows the use of the HDF5 data format. NetCDF users can create HDF5 files with benefits not available with the netCDF ...