Free recovers data even if drive not formatted software for linux

Common Data Format is a self-describing data abstraction for the storage and manipulation of multidimensional data in a platform- and discipline-independent fashion.
It consists of a scientific data management package (known as the "CDF Library") that allows programmers and application developers to manage and manipulate scalar, vector, and multi-dimensional data arrays.
Enhancements:
- Adds new sets of APIs to allow Standard Interface to interact with zVariables and other CDF-related information.
- Adds MingW and FreeBSD ports.
- Adds support for Intel C++ and Fortran for Linux.
- Adds the ability to create legacy CDF 2.7 files.
- Fixes a bug that prevented directories from having .cdf or .skt extensions.

Hierarchical Data Format is a general purpose library and file format for storing scientific data.
HDF5 can store two primary objects: datasets and groups. A dataset is essentially a multidimensional array of data elements, and a group is a structure for organizing objects in an HDF5 file. Using these two basic objects, one can create and store almost any kind of scientific data structure, such as images, arrays of vectors, and structured and unstructured grids. You can also mix and match them in HDF5 files according to your needs.
Efficient storage and I/O.
HDF5 was created to address the data management needs of scientists and engineers working in high performance, data intensive computing environments. As a result, the HDF5 library and format emphasize storage and I/O efficiency. For instance, the HDF5 format can accommodate data in a variety of ways, such as compressed or chunked. And the library is tuned and adapted to read and write data efficiently on parallel computing systems.
Software.
NCSA maintains a suite of free, open source software, including the HDF5 I/O library and several utilities. The HDF5 user community also develops and contributes software, much of it freely available. Unlike HDF4, there is little commercial support for HDF5 at this time, but we are successfully working with vendors to change this.
Emphasis on standards.
Data can be stored in HDF5 in an endless variety of ways, so it is important for communities of users to standardize on how their data is to be organized in HDF5. This makes it possible to share data easily, and also to build and share tools for accessing and analyzing data stored in HDF5. The NCSA HDF team works with users to encourage them to organize HDF5 files in standard ways.
Large and varied user community.
HDF5 users range across a variety of engineering and scientific fields, and even some non-technical fields. Data stored in HDF5 is used for a wide range of applications, from computational fluid dynamics to film making.
Main features:
- Parallel HDF5 - Information on installing and using Parallel HDF5
- SZIP Compression - Information about SZIP Compression in HDF5
- Thread Safe HDF5 - Information on thread-safe capabilities of HDF5 and how to install
- The High Level HDF5 APIs, previously distributed separately, are now distributed as part of the main HDF5 Library:
- High Level HDF5 APIs - Information on installing and using the High Level HDF5 APIs
Applications:
- HDF Java Products - HDF4/HDF5 Java interfaces and viewer, HDFView.
- HDF Web-browser Plug-in - The HDF Web-browser plug-in is a windowed browser plug-in that is launched from a web browser to display HDF4 and HDF5 files.
- netCDF-4 - The NCSA and NetCDF groups are collaborating on a version of NetCDF built on top of HDF5.
- HDF5 XML Information Page - DTD and tools for using HDF5 with XML
- HDF5 WRF I/O Module - I/O module that reads HDF5 datasets for the Weather Research and Forecasting Model
- HDF5 Mesh API (prototype) - API for storing and retrieving structured and unstructured mesh data
Enhancements:
- The default Fortran was switched to G95 when using GCC.
- The autoconf build tools were updated. Fortran interfaces were added for the Image, Table, and Lite APIs.
- A Dimension Scale API (H5DS) was added.
- FreeBSD is now supported on AMD64 with GNU C and Fortran compilers.
- Support for sequential and parallel libraries was added for Intel 64 Linux clusters.
- Several bugs with writing fill values for datasets that have a variable-length datatype or component datatype were fixed.

The gzip Recovery Toolkit attempts to automate the recovery of data from corrupted gzip files (including tarballs) through a program called gzrecover. gzip Recovery Toolkit package is still very experimental at this point.
99% of "corrupted" gzip archives are caused by transferring the file via FTP in ASCII mode instead of binary mode. Please re-transfer the file in the correct mode first before attempting to recover from a file you believe is corrupted.
This program is provided AS IS with absolutely NO WARRANTY. It is not guaranteed to recover anything from your file, nor is what it does recover guaranteed to be good data. The bigger your file, the more likely that something will be extracted from it. Also keep in mind that this program gets faked out and is likely to "recover" some bad data. Everything should be manually verified.
Usage:
Run gzrecover on a corrupted .gz file. Anything that can be read from the file will be written to a file with the same name, but with a .recovered appended (any .gz is stripped). You can override this with the -o option.
To get a verbose readout of exactly where gzrecover is finding bad bytes, use the -v option to enable verbose mode. This will probably overflow your screen with text so best to redirect output to a file.
Once gzrecover has finished, you will need to manually verify any data recovered as it is quite likely that our output file is corrupt and has some garbage data in it. If your archive is a tarball, read on.
For tarballs, the tar program will choke because GNU tar cannot handle errors in the file format. Fortunately, GNU cpio (tested at version 2.5 or higher) handles corrupted files out of the box.
Heres an example:
$ ls *.gz
my-corrupted-backup.tar.gz
$ gzrecover my-corrupted-backup.tar.gz
$ ls *.recovered
my-corrupted-backup.tar.recovered
$ cpio -F my-corrupted-backup.tar.recovered -i -v
If you have a previous release, please note that the patches to GNU tar have been discontinued. They were only marginally successful at best and GNU cpio does what is needed out of the box and does it far better.
Enhancements:
- Documentation updates, including a man page, plus code cleanup to better enable inclusion in GNU/Linux packages and eliminate compilation warnings.

Template::Plugin::KwikiFormat is a filter to convert kwiki formatted text to html.
SYNOPSIS
[% USE KwikiFormat %]
[% FILTER kwiki %]
== title
*bold* /italic/
[% END %]
A wrapper around Kwiki::Formatter.
Template::Plugin::KwikiFormat allows you to use KwikiFormats in data displayed by Template::Toolkit.
Enhancements:
- Perl

Local Data Manager (LDM) is a collection of cooperating programs that select, capture, manage, and distribute arbitrary data products.
The system is designed for event-driven data distribution, and is currently used in the Unidata Internet Data Distribution (IDD) project. The LDM system includes network client and server programs and their shared protocols.
An important characteristic of the LDM is its support for flexible, site-specific configuration.
Enhancements:
- Fixes for timestamp bugs.

Fortran::Format is a Perl module to read and write data according to a standard Fortran 77 FORMAT.

SYNOPSYS

use Fortran::Format;

my $f = Fortran::Format->new("2(N: ,I4,2X)");
print $f->write(1 .. 10);
# prints the following:
# N: 1 N: 2
# N: 3 N: 4
# N: 5 N: 6
# N: 7 N: 8
# N: 9 N: 10

# if you dont want to save the format object,
# just chain the calls:
Fortran::Format->new("2(N: ,I4,2X)")->write(1 .. 10);

This is a Perl implementation of the Fortran 77 formatted input/output facility. One possible use is for producing input files for old Fortran programs, making sure that their column-oriented records are rigorously correct. Fortran formats may also have some advantages over printf in some cases: it is very easy to output an array, reusing the format as needed; and the syntax for repeated columns is more concise. Unlike printf, for good or ill, Fortran-formatted fields never exceed their desired width. For example, compare

printf "%3d", 12345; # prints "12345"
print Fortran::Format->new("I3")->write(12345); # prints "***"

This implementation was written in pure Perl, with portability and correctness in mind. It implements the full ANSI standard for Fortran 77 Formats (or at least it should). It was not written with speed in mind, so if you need to process millions of records it may not be what you need.

DataDrafter project is a new and unique program that allows you to create your own interactive graphics applications with data editing, navigation, search and reporting features built in. Use DataDrafter instead of Visio for example, to create diagrams, maps and technical drawings that are interactive and fully integrated with your data.

Your visualizations become real applications instead of just wall paper. You can even share your graphics and data as an application on the web or on your own intranet.
If you use a combination of drawings and spreadsheets to manage data, try using DataDrafter instead.

The Integrated Data/Graphics Environment ensures that both your data and graphics stay synchronized. With DataDrafter your drawings become an interactive part of your data management process. Why put all that effort into your drawings just to hang them on the wall? Put them to work for you and others while keeping them up to date with DataDrafter.