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Burrow-owl is a software package for visualizing multidimensional nuclear magnetic resonance (NMR) spectra, with an emphasis on spectra used in macromolecular structure determination.
This tool provides an interactive visualization of the Wikipedia information space, primarily as a means of navigating the category hierarchy as well as the article network. The project is implemented in Java, utilizing the Java 3D package.
This was a student project in 2004-2005 at the University of Macau. This is the code from April 2005 that was finally uploaded to SourceForge in 2012 for archival purposes and to meet the demand from Wikipedia researchers world-wide.
A sleep research experiment manager, EDF (EEG, EMG etc) with power spectrum analysis and visualisation, and Process S ('sleep pressure') estimation following Achermann et al (1993).
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This project is about height map generation by fractal formulas and perlin noise. FractalEye is a software written in C++/Qt3. The implementation sports with portable and efficient highlevel primitives, which compile under GNU C++ and BCC32.
Vitamin is a software for visualizing network traffic in IP based networks. It works as a distributed system. Several slaves capture the network traffic on several computers in a network. The master visualizes the information he receives from the slaves.
visualFSA is a small tool which lets you construct NFAs/DFAs [(non)deterministic finite automata]. It offers some common algorithms which can be applied to that automatons, like converting NFA -> DFA, word problem, accepted language etc.
SciPlore MindMapping is based on FreeMind but extended with features for students & researchers. It integrates mind maps with reference and pdf management (BibTeX support & PDF Bookmark import). Keywords: Mind maps, Mind Mapping, MindMap, JabRef
MLPlot is a lightweight plotting library written in Java. It produces vector graphics in the SVG format but can also save EPS, JPG, PNG,..(if convert and inkscape are installed). The goal is to imitate MATLAB's 2D plotting functionality.
Geo-Spatial Data Viewer (GSDView) is a lightweight viewer for geo-spatial data and products. It is written in python and Qt4 and uses the GDAL library. GSDView is modular and has a simple plug-in architecture.
Densitometer data acquisition interface and plotter
This software is to be used as a communication interface for photographic densitometers to receive transmission or reflective density through the serial port RS-232. A graph of the received data is also done automatically.
Semtinel is an application framework for the semi-automatic creation, maintenance and analysis of hierarchical concept schemes (thesaurus, classification or ontology). Semtinel supports the development of new analysis methods and visualization techniques
Waveform viewer. Inspired by 'gtkwave' and 'Dancer2' (Denso proprietary tool). Used primarily for embedded software development, this tool allows for visual signal comparison and analysis. Gaming style mouse + keyboard makes for fast/fun use.
Intrepid Bioinformatic's Integrative Genomics Viewer (IGV) modifications for viewing NGS files on IGV with data located on remote servers, accessed by web services.
Worldlines visualizes special relativity, as particles near lightspeed trace paths in a 3D slice of 4D Minkowski spacetime. Scenes illustrate time dilation, the twin paradox, length contraction, and Bell's spaceship paradox.
Gri is a language for scientific graphics programming. It is
script-based, not GUI-based. Some users view it as a sort of LaTeX
for scientific graphics. Users who climb a slight learning curve are
rewarded with considerable aesthetic power.
NeurAnim is a research aid for computational neuroscience. It is used to visualise and animate neural network simulations in 3D, and to render movies of these animations for use in presentations.
UDAV is program for data arrays visualization based on MathGL library. It support wide spectrum of graphics, simple script language and visual data handling and editing.
Flow Investigation using N-Dimensions (FIND) is a program designed for analysis and visualization of Flow Cytometry data. FIND focuses specifically on automated population discovery (clustering) methods. The project targets both users and developers.