The IDFS data retrieval software has been bundled for distribution.
The compressed tar file IDFSDataAccess.tar.Z contains the source code
for the programming examples that are provided in the IDFS Programmers
Manual, along with the source code for the libraries that are utilized.
In order to extract the code, the following steps should be executed:

(1) gunzip IDFSDataAccess.tar.Z

(2) tar xvf IDFSDataAccess.tar

(3) rm IDFSDataAccess.tar

At this point, there should be fourteen directories, an SConstruct file and a 
template file for use with scons (IDFS.py.tmpl).  The installer should copy the 
template file IDFS.py.tmpl to IDFS.py and should review and modify the 
contents of this file to tailor the compilation of the source for the target 
machine.  In order to compile the source code, the environment variable SDDAS_HOME,
which is contained within the IDFS.py file, must be set to the directory where 
the tar file has been untarred.

Twelve of the 14 directories contain source code for libraries that support 
the IDFS paradigm.  These twelve directories are (1) libant, (2) libdB, 
(3) libdbSQL, (4) libCfg, (5) libserver, (6) libPromote, (7) libVIDF, (8) libbase_idfs, 
(9) libIDFSMath, (10) libIDFSFill, (11) libIDFSTensor, and (12) libtrec_idfs.
The compilation of the code for all these libraries can be achieved by performing the
following sequence of commands:

(4) scons release

At this point, there should be twelve libraries in the lib subdirectory under 
the SDDAS_HOME base directory and the example programs found in the IDFS 
Programmers Manual can be run.  To do this, go to the IDFS_EXAMPLES
directory and run the program.  Provided an IDFS database has been set up 
on the target machine, the programs can be run to dump the contents of the 
specified data sources for the designated time periods.