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Common Data Format 3.1

Common Data Format 3.1


Common Data Format is a self-describing data abstraction for the storage and manipulation of multidimensional data. more>>
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.
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Added: 2006-03-13 License: Public Domain Price:
1320 downloads
Hierarchical Data Format 1.8.0 Beta 3

Hierarchical Data Format 1.8.0 Beta 3


Hierarchical Data Format is a general purpose library and file format for storing scientific data. more>>
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.
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Added: 2007-08-02 License: BSD License Price:
816 downloads
Common Music 1.0.2

Common Music 1.0.2


Common Music (CM) is an object-oriented music composition environment. more>>
Common Music (CM) is an object-oriented music composition environment.

Common Music produces sound by transforming a high-level representation of musical structure into a variety of control protocols for sound synthesis and display.

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Added: 2007-07-29 License: GPL (GNU General Public License) Price:
832 downloads
AnyData 0.10

AnyData 0.10


AnyData is a Perl module that allows easy access to data in many formats. more>>
AnyData is a Perl module that allows easy access to data in many formats.

SYNOPSIS

$table = adTie( CSV,my_db.csv,o, # create a table
{col_names=>name,country,sex}
);
$table->{Sue} = {country=>de,sex=>f}; # insert a row
delete $table->{Tom}; # delete a single row
$str = $table->{Sue}->{country}; # select a single value
while ( my $row = each %$table ) { # loop through table
print $row->{name} if $row->{sex} eq f;
}
$rows = $table->{{age=>> 25}} # select multiple rows
delete $table->{{country=>qr/us|mx|ca/}}; # delete multiple rows
$table->{{country=>Nz}}={country=>nz}; # update multiple rows
my $num = adRows( $table, age=>< 25 ); # count matching rows
my @names = adNames( $table ); # get column names
my @cars = adColumn( $table, cars ); # group a column
my @formats = adFormats(); # list available parsers
adExport( $table, $format, $file, $flags ); # save in specified format
print adExport( $table, $format, $flags ); # print to screen in format
print adDump($table); # dump table to screen
undef $table; # close the table

adConvert( $format1, $file1, $format2, $file2 ); # convert btwn formats
print adConvert( $format1, $file1, $format2 ); # convert to screen

The rather wacky idea behind this module and its sister module DBD::AnyData is that any data, regardless of source or format should be accessable and modifiable with the same simple set of methods. This module provides a multi-dimensional tied hash interface to data in a dozen different formats. The DBD::AnyData module adds a DBI/SQL interface for those same formats.
Both modules provide built-in protections including appropriate flocking() for all I/O and (in most cases) record-at-a-time access to files rather than slurping of entire files.

Currently supported formats include general format flatfiles (CSV, Fixed Length, etc.), specific formats (passwd files, httpd logs, etc.), and a variety of other kinds of formats (XML, Mp3, HTML tables). The number of supported formats will continue to grow rapidly since there is an open API making it easy for any author to create additional format parsers which can be plugged in to AnyData itself and thereby be accessible by either the tiedhash or DBI/SQL interface.

The AnyData.pm module itself is pure Perl and does not depend on anything other than modules that come standard with Perl. Some formats and some advanced features require additional modules: to use the remote ftp/http features, you must have the LWP bundle installed; to use the XML format, you must have XML::Parser and XML::Twig installed; to use the HTMLtable format for reading, you must have HTML::Parser and HTML::TableExtract installed but you can use the HTMLtable for writing with just the standard CGI module. To use DBI/SQL commands, you must have DBI, DBD::AnyData, SQL::Statement and DBD::File installed.

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Added: 2007-05-10 License: Perl Artistic License Price:
902 downloads
IFF Format Library 0.1

IFF Format Library 0.1


IFF Format Library provides header structures and utility functions for reading and writing data files in the Interchange Files. more>>
IFF Format Library provides header structures and utility functions for reading and writing data files in the Interchange Files.
The Interchange File Format is a simple structured binary file format consisting of sized and typed chunks of data, selectively readable without having to know the format of each chunk.
This functionality is similar to what XML provides for text documents, and the IFF format can indeed be viewed as a sort of a binary XML. IFFs extensibility is an excellent way of not breaking old applications when the file format changes, making it an excellent choice for your next applications data files.
The IFF is also the simplest and the smallest such data format, ensuring that your files consist of real data rather than overhead and that your code spends more time on real work than on parsing the data file. This library defines the IFF header structures and provides simple algorithms for directly writing many of your objects as chunks and containers.
Installation:
This library can be downloaded from SourceForge, as can its sole prerequisite:
libiff - The library source package.
uSTL - An STL implementation, required.
First, unpack and install uSTL, as described in its documentation. Unpack libiff and run ./configure; make install, which will install the library to /usr/local/lib and headers to /usr/local/include. ./configure --help lists available configuration options, in the usual autoconf fashion. The one thing to be aware of is that by default the library will not be completely conforming to EA85 specification. Why that is so, and why you should take the default options anyway, is discussed in detail in the next section. If you really want to use the original EA85 format, you can to pass --with-bigendian --with-2grain to configure.
Usage:
If you are using C++, chances are you already have an object-oriented design of some kind. You have a collection of objects, related to each other in some way, and you want to write them all to a file in some way. It is, of course, possible to just write them all to the file, one after the other, but that approach makes things difficult if you ever decide to change the structure of those objects, write more or fewer of them, or explain to other people how to read your format. Hence, it is desirable to create some kind of structure in the file, to be able to determine where each objects begins and ends, and what kind of object is where. When using an IFF format, youll make simple objects into chunks, and objects containing other objects into FORMs, LISTs, or CATs.
The first task is to make each of your objects readable and writable through uSTL streams. To do that youll need to define three methods, read, write, and stream_size, and create flow operator overrides with a STD_STREAMABLE macro. Here is a typical example:
#include < iff.h > // iff header includes ustl.h, but doesnt use the namespace.
using namespace ustl; // it is recommended to leave iff:: namespace on.
/// Stores players vital statistics.
class CPlayerStats {
public:
void read (istream& is);
void write (ostream& os) const;
size_t stream_size (void) const;
private:
uint16_t m_HP;
uint16_t m_MaxHP;
uint16_t m_Mana;
uint16_t m_MaxMana;
};
// Since the object is simple, and contains no other objects,
// well make it a simple chunk.
enum { // Define a chunk format for writing this object.
fmt_PlayerStats = IFF_FMT(S,T,A,T)
}; // In a hex editor youll see STAT at the beginning of the object
// making it easy to find when you want to hack something in it.
/// Reads the object from stream p is
void CPlayerStats::read (istream& is)
{
is >> m_HP >> m_MaxHP >> m_Mana >> m_MaxMana;
}
/// Writes the object to stream p os.
void CPlayerStats::write (ostream& os) const
{
os<<less
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Added: 2006-12-07 License: MIT/X Consortium License Price:
1056 downloads
DataWorkshop 1.1.1

DataWorkshop 1.1.1


DataWorkshop is an editor to view and modify binary data. more>>

DataWorkshop 1.1.1 with its functionality will help you a lot. It is actually an editor to view and modify binary data. The editor provides different views which can be used to edit, analyze and export the binary data.

A simple hex view can be used to simulate a standard hexeditor but more complex dynamic views are possible to comfortable edit binary structure like executables or captured network traffic. DataWorkshop editor provides powerful search and diff functionality and user defined transformations.

Views can be filtered using the XPath query language (e.g. selecting several IP packets in a network traffic capture file). Also, views can be exported as in various formats for further processing. This can be used to convert old binary formats into modern xml tagged data.

Keep in mind the limitations:

  • Too slow when editing large files (> 100MB) or using complex views
  • Maximal data size 2 147 483 647 bytes (~ 2 GB)

Major features:

  1. Mulitplatform (Windows, Linux, MacOS)
  2. User defined view definitions which are compiled into complex data views
  3. Data view can can be exported as xml
  4. Data view can be queried using XPath syntax to generate a new data view (e.g. selecting several IP packages according to their flags)
  5. Configurable data encodings used to edit and view data (e.g Hex, Decimal, IEEE 754 Reals, USAscii, EBCDIC, TimeInMillis etc.)
  6. Configurable data transformation (e.g. Rot13 Encoder / Decoder)
  7. Diff tool with bit granularity
  8. Find and replace with bit granularity
  9. Data clipboard for cut, copy and paste
  10. Undo/Redo
  11. XML based storage for persistent data
  12. Data conversion between different formats (e.g little endian big endian, hexdump binary data)
  13. Read and write from sockets

Enhancements: 12 July 2004

  • Open Source release

Requirements:

  • Java 1.4
  • 1.0 Ghz Processor with 256MB Ram
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Added: 2007-11-12 License: Freeware Price: FREE
13 downloads
XML::Atom 0.19

XML::Atom 0.19


XML::Atom is an Atom feed and API implementation. more>>
XML::Atom is an Atom feed and API implementation.

SYNOPSIS

use XML::Atom;

Atom is a syndication, API, and archiving format for weblogs and other data. XML::Atom implements the feed format as well as a client for the API.
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Added: 2006-06-30 License: Perl Artistic License Price:
1211 downloads
Tie::Formatted 0.02

Tie::Formatted 0.02


Tie::Formatted is a Perl module embed sprintf() formatting in regular print(). more>>
Tie::Formatted is a Perl module embed sprintf() formatting in regular print().

SYNOPSIS

use Tie::Formatted;
print "The value is $format{$number, "%3d"} ",
"(or $format{$number, "%04x"} in hex)n";

print "some numbers: $format{ 12, 492, 1, 8753, "%04d"}n";

This module creates a global read-only hash, %format, for formatting data items with standard sprintf format specifications. Since its a hash, you can interpolate it into strings as well as use it standalone.

The hash should be "accessed" with two or more "keys". The last key is interpreted as a sprintf format for each data item specified in the preceeding arguments. This allows you to format multiple items at once using the same format for each.

Alternate name

If you prefer, you can specify a different name for the magical formatting hash by supplying it as as argument when useing the module:

use Tie::Formatted qw(z);

This makes %z the magic hash instead.

print "This is hex: $z{255, "%04x"}n";

Tie::Formatted currently supports only one format in the final argument; this may change if there is demand for it.

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Added: 2007-01-15 License: Perl Artistic License Price:
1012 downloads
International Components for Unicode 3.6

International Components for Unicode 3.6


International Components for Unicode provides a Unicode implementation. more>>
International Components for Unicode provides a Unicode implementation, with functions for formatting numbers, dates, times, and currencies (according to locale conventions, transliteration, and parsing text in those formats).
It provides flexible patterns for formatting messages, where the pattern determines the order of the variable parts of the messages, and the format for each of those variables. These patterns can be stored in resource files for translation to different languages. Included are more than 100 codepage converters for interaction with non-unicode systems.
Main features:
- Text: Unicode text handling, full character properties and character set conversions (500+ code pages)
- Analysis: Unicode regular expressions; full Unicode sets; character, word and line boundaries
- Comparison: language sensitive collation and searching
- Transformations: normalization, upper/lowercase, script transliterations (50+ pairs)
- Locales: comprehensive data (230+) & resource bundle architecture
- Complex Text Layout: Arabic, Hebrew, Indic and Thai
- Formatting and Parsing: multi-calendar and time zone,dates, times, numbers, currencies, messages
Enhancements:
- This is a major release, with new features, new APIs, and many bugfixes in data and code.
- ICU uses and supports Unicode 5.0, which is the latest major release of Unicode.
- CU uses and supports data from Common Locale Data Repository (CLDR) 1.4, which includes many improvements in quality and quantity of data.
- A charset detection framework was added, which provides heuristics for detecting the charset for unlabeled sequences of bytes.
- Other performance and feature enhancements were added.
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Added: 2006-09-08 License: MIT/X Consortium License Price:
662 downloads
Data Display Debugger 3.3.11

Data Display Debugger 3.3.11


Data Display Debugger is a common graphical user interface for GDB, DBX and XDB. more>>
GNU DDD is a graphical front-end for command-line debuggers such as GDB, DBX, WDB, Ladebug, JDB, XDB, the Perl debugger, the bash debugger, or the Python debugger.

Besides "usual front-end features such as viewing source texts, DDD has become famous through its interactive graphical data display, where data structures are displayed as graphs.
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Added: 2005-04-18 License: GPL (GNU General Public License) Price:
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Multi-Simulation Interface 0.14.0

Multi-Simulation Interface 0.14.0


Multi-Simulator Interface, in shrot MSI, is a simulation interconnection engine. more>>
Multi-Simulator Interface, in shrot MSI, is a simulation interconnection engine. In other words it is a program that connects simulations together by synchronizing their clocks and data. Multi-Simulation Interface serves the same purpose as HLA and supports most of HLAs functionality (and more).
The MSI is an HLA alternative. The major motivating factors in the design of the MSI are speed, interoperability, and ease of use.
The MSI was written as a cutting edge distributed simulation component to connect multiple instances of ATLs premiere simulation software, CSIM, and it can be used to interface any compatible simulations.
How does the MSI compare to HLA?
The MSI was originally created to be just a light weight HLA RTI. However, as it was written, limitations in HLA were discovered. The MSI is an improvement on both the design and implementation of HLA. Some highlights include:
A 1,536 to 1 reduction in size over the publicly available (until late 2002) HLA RTI.
At least one order of magnitude of bandwidth consumption less than the publicly available (until late 2002) HLA RTI.
The ability to subscribe to an object name in addition to a type.
Time synchronization that allows for proper causality when used with discrete event simulators.
Support for systems-of-systems (SoS) and hierarchically organized simulations.
Availability for many platforms.
MSI Concept - A Synchronized Data Broker
The concept behind MSI is the synchronized data broker. There are many connected software systems that posses state data that changes over the life of that system. In the case where these systems need to exchange this changing data with other systems and the other systems will exhibit the effects of this data on their own state, the synchronization of this data may need to be managed.
Historically the management of this data has been as simple as tagging it with the time of its release. If there is any conflict in the data the most recent version of the data is used. If the data is late an extrapolation can potentially be used. In SQL relational databases transactions and locking are used to ensure data integrity. Most data brokering services offer little or no sychronization, only delivery.
MSI Setup and Use
The MSI uses a XML stream through a direct socket connection for communications. This enables the MSI to be used from any programming language that can use sockets (C, C++, Java, Ada, Lisp, Perl, etc.). Also, the MSI was written with cross-platform libraries that make it portable to all the major OS platforms (Linux, Solaris, Mac OS X, Microsoft Windows, IRIX, HPUX, etc.).
The MSI is a single executable file and is distributed with example code for the simulator/federate side interface.
MSI Time Synchronization
The MSI time synchronizer can mix unconstrained with time constrained simulations. Each constrained simulation reports the time of the next event that will occur in that simulation/federate. This time may be artificially inflated to cause loose synchronization (less overhead but less guarantee of accuracy). The simulations/federates will advance to the announced time.
MSI Data Synchronization
The MSI implements a publish/subscribe data broker. The MSI is presently not validating, therefore it does not require a separate data format specification (like the HLA FOM). When data format validation is implemented, it will be an optional feature and not written in Lisp. This greatly reduces MSIs setup time. Also, not being locked to a predetermined data format allows for dynamic data types.
There are five commands associated with the MSI data broker: publish, subscribe, update, unsubscribe, destroy (destroy is not implemented yet). Simulations/federates may subscribe to object names in addition to object types. This allows simulations to subscribe to specific objects of a type without needing to receive updates of all objects of that type. The update command is both an incoming and outgoing command. When a simulation/federate receives an update command, it is expected to reflect the new values of that object.
The MSI has a very flexible publish and subscribe system. A federate may subscribe to an object type or an object name. In addition a federate may specify particular attributes of an object or object type. For example, if an object has attributes name, x, y, and z, a federate that only considers two dimensions may choose to subscribe only to name, x, and y.
The MSI also supports systems of systems and object hierarchy in simulations. A publishing federate may designate a parent object. Subscribers may then subscribe to the objects children.
MSI Messaging
The MSI allows simulations/federates to send messages (interactions in HLA) to each other. These messages can contain multiple attributes and be multicast to a specific group of simulations.
Recently Added Features
Removed external library dependencies to improve the portability and fragility of the MSI.
Added a better client library.
Improved documentation.
Enhancements:
- An XML parsing bug in the utilities library was fixed.
- The socket library was enhanced with more protocols, Win32 tricks, and the ability to key off of addresses as well as names.
- The --wait-for command line argument was added.
- Several internal bugs were fixed.
- More of the client library and the CSIM interface were flushed out.
- All standard functionality was tested.
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Added: 2006-05-26 License: GPL (GNU General Public License) Price:
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File::Format::RIFF 1.0.1

File::Format::RIFF 1.0.1


File::Format::RIFF is a Perl module to Resource Interchange File Format/RIFF files. more>>
File::Format::RIFF is a Perl module to Resource Interchange File Format/RIFF files.

SYNOPSIS

use File::Format::RIFF;

open( IN, file ) or die "Could not open file: $!";
my ( $riff1 ) = File::Format::RIFF->read( *IN );
close( IN );
$riff1->dump;

my ( $riff2 ) = new File::Format::RIFF( TYPE );
foreach my $chunk ( $riff1->data )
{
next if ( $chunk->id eq LIST );
$riff2->addChunk( $chunk->id, $chunk->data );
}
open( OUT, ">otherfile" ) or die "Could not open file: $!";
$riff2->write( *OUT );
close( OUT );

File::Format::RIFF provides an implementation of the Resource Interchange File Format. You can read, manipulate, and write RIFF files.

CONSTRUCTORS

$riff = new File::Format::RIFF( $type, $data );

Creates a new File::Format::RIFF object. $type is a four character code that identifies the type of this particular RIFF file. Certain types are defined to have a format, specifying which chunks must appear (e.g., WAVE files). If $type is not specified, it defaults to (four spaces). $data must be an array reference containing some number of RIFF lists and/or RIFF chunks. If $data is undef or not specified, then the new RIFF object is initialized empty.

$riff = File::Format::RIFF->read( $fh, $filesize );

Reads and parses an existing RIFF file from the given filehandle $fh. An exception will be thrown if the file is not a valid RIFF file. $filesize controls one aspect of the file format checking -- if $filesize is not specified, then stat will be called on $fh to determine how much data to expect. You may explicitly specify how much data to expect by passing in that value as $filesize. In either case, the amount of data read will be checked to make sure it matches the amount expected. Otherwise, it will throw an exception. If you do not wish it to make this check, pass in undef for $filesize.

Please note, if you wish to read an "in memory" filehandle, such as by doing this: open( $fh, read( $fh, $filesize );

The read constructor may also be used as a method. If used in this manner, then all existing data contained in $riff will be discarded, and replaced by the contents read from $fh.

$riff->write( $fh );

Outputs a properly-formatted RIFF file to the given filehandle $fh.

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Added: 2007-04-27 License: Perl Artistic License Price:
916 downloads
openDICOM.NET 0.1.1

openDICOM.NET 0.1.1


openDICOM.NET software implements a new approach towards DICOM (Digital Imaging and Communications in Medicine) libraries. more>>
openDICOM.NET software implements a new approach towards DICOM (Digital Imaging and Communications in Medicine) libraries. DICOM is a worldwide standard in Medical IT and is provided by the National Electrical Manufacturers Assocation (NEMA). This standard specifies the way medical images and meta data like study or patient related data is stored and communicated over different digital medias. Thus, DICOM is a binary protocol and data format.

The openDICOM# Class Libary, main part of the openDICOM.NET project, provides an API to DICOM in C# for Mono and the .NET Framework. It is a completely new implementation of DICOM. In contrast to other similar libraries the intention of this implementation is to provide a clean classification with support of unidirectional DICOM data streaming. Another implemented goal is the support of DICOM as XML. This is not standard conform but very use- and powerful within software development, storage and manipulation. Currently, full read support of DICOM output stream and full write support to XML is supposed to be provided. The entire DICOM content can be accessed as sequence or as tree of class instances. Latter is the default representation of DICOM content by the library.

The openDICOM.NET Utils are a collection of console tools for working with the needed data dictionaries in different data formats (binary and textual), query of ACR-NEMA (prior DICOM standard) and DICOM files and transcoding them into image formats like JPEG and XML files. These utils are written in C# for Mono and the .NET Framework and are using the openDICOM# API for processing.

Last but not least, the openDICOM.NET Navigator recapitulates the openDICOM.NET Utils in form of a GTK# GUI. It provides different views with focus on DICOM data sets and visualization. Connectivity to GIMP is also given for image processing purpose as well as the possibility to run through multi-frame images like a movie.

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Added: 2007-04-02 License: GPL (GNU General Public License) Price:
939 downloads
UDAT 1.4.1

UDAT 1.4.1


UDAT is a data format, offering a generic basis for data storage and transmission. more>>
UDAT is a data format, offering a generic basis for data storage and transmission, while being both easily readable by humans and easily readable by machines. It is comparable to formats like XML or YAML, but due to simplicity it is much more easy to parse.

The RubyGems package "udat" contains a library for the ruby programming language to create and parse UDAT documents. UDAT was created especially for software developers.

This project is free for private and commercial use, no warranty, subject to the license agreement in the software.

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Added: 2007-06-07 License: MIT/X Consortium License Price:
870 downloads
DBD::AnyData 0.08

DBD::AnyData 0.08


DBD::AnyData is a DBI access to XML, CSV and other formats. more>>
DBD::AnyData is a DBI access to XML, CSV and other formats.

SYNOPSIS

use DBI;
my $dbh = DBI->connect(dbi:AnyData(RaiseError=>1):);
$dbh->func( trains, CSV, /users/joe/cars.csv, ad_catalog);
$dbh->func( bikes, XML, [$xml_str], ad_import);
$dbh->func( cars, DBI, $mysql_dbh, ad_import);
#
# ... DBI/SQL methods to access/modify the tables cars,bikes,trains
#
print $dbh->func( cars, HTMLtable, ad_export);

or

use DBI;
my $dbh = DBI->connect(dbi:AnyData(RaiseError=>1):);
$dbh->func( Pipe, data.pipe, XML, data.xml, ad_convert);

or

(many combinations of a dozen other data formats, see below)

The DBD::AnyData module provides a DBI/SQL interface to data in many formats and from many sources.

Currently supported formats include general format flatfiles (CSV, Fixed Length, Tab or Pipe "delimited", etc.), specific formats (passwd files, web logs, etc.), a variety of other kinds of formats (XML, Mp3, HTML tables), and, for some operations, any DBI accessible database. The number of supported formats will continue to grow rapidly since there is an open API making it easy for any author to create additional format parsers which can be plugged in to AnyData.

Data in these various formats can come from local files, from remote files, or from perl data structures such as strings and arrays.

Regardless of the format or source of the data, it may be accessed and/or modified using all standard DBI methods and a subset of SQL syntax.

In addition to standard database access to files, the module also supports in-memory tables which allow you to create temporary views; to combine data from a number of sources; to quickly prototype database systems; and to display or save the data in any of the supported formats (e.g. to display data in a CSV file as an HTML table).

These in-memory tables can be created from any combination of DBI databases or files of any format. They may also be created from perl data structures which means its possible to quickly prototype a database system without any file access or rdbms backend.

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