Search Results for "data visualization, research"
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9 projects for "data visualization, research" with 1 filter applied:
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gnuplot
A portable, multi-platform, command-line driven graphing utility
A famous scientific plotting package, features include 2D and 3D plotting, a huge number of output formats, interactive input or script-driven options, and a large set of scripted examples. -
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FOML is an expressive logic rule language that supports object modeling, analysis, and inference. It naturally supports model-level activities, such as constraints (extending UML diagrams), dynamic compositional modeling, analysis and reasoning about models, model testing, design pattern modeling, specification of Domain Specific Modeling Languages, and meta-modeling. FOML can reason about: 1. The model meta-data (meta-model level reasoning, or syntax reasoning) 2. Data level: reason...
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MSGraph is a program designed for the interactive, fast, qualitative analysis of mass spectrometric (MS) data. It is a tool to provide fast and simple access to all the information contained in an LC/MS analysis run.
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Digitizer program to manually digitize data from graphic images. Allows for multiple calibrations and source image files for a single set of data series. Also includes an auto-export feature to streamline interoperability.
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TIDAL is a collection of data acquisition and processing tools for research in respiratory physiology. It provides a high-level language for specifying experimental protocols and required computations.
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CL - Matrix - GUI: The main purpose of the project addressing to the command line prompt riders.. This will be wokring mainly as a library for C++, allowing programmers to use pseudo grafics in their applications. CL - Matrix - Enviroment: A real envi
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Real-time EEG data acquisition and control software for event related potential (ERP) researchers. Writes data in ERPSS (UCSD) raw and log format and displays, in real time, in X windows.
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ABE is a small, fast and convenient program for visualizing and modeling experimental bioassay data. The data can be modeled using either polynomials or a more specific four-parameter model based upon the standard, sigmoidal dose-response curve.
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