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Home > Groups > Computational Science > Software and Tools for Computational Science
Software and Tools for Computational Science

Some software and tools available for scientific research.

 

 

  • Disease Model Simulator
    This tool enables the user to investigate the theoretical disease model used in the paper "Host-pathogen time series data in wildlife support a transmission function between density and frequency dependence" by Matthew J. Smith, Sandra Telfer, Eva R. Kallio, Sarah Burthe, Alex R. Cook, Xavier Lambin and Michael Begon to be published in Proceedings of the National Academy of Sciences of the United States of America (pending acceptance).
  • Plant Competition Model Simulator
    A Windows Presentation Foundation application that enables a user to experiment with the Crawley-May plant-competition model, a spatially explicit model that investigates the conditions under which two plant species can coexist. At present, this application runs SLOWLY and we will soon rectify the problem.
  • WPF Dynamic-Data-Display
    A set of WPF components for interactive visualization of scientific data.
  • Density-Dependent Dispersal in Cyclic Populations Simulator
    This software tool allows the user to view animations of the dynamics illustrated in the paper “The effects of density-dependent dispersal on the spatiotemporal dynamics of cyclic populations.” by Smith, Sherratt and Lambin, to appear in Journal of Theoretical Biology (doi: 10.1016/j.jtbi.2008.05.034).
  • Lambda-Omega Equations Simulator
    This software tool allows the user to view animations of the dynamics illustrated in the paper "Convective and Absolute stability of periodic travelling waves selected by Dirichlet and Neumann boundary conditions in reaction-diffusion equations of Lambda-Omega type". Smith, Sherratt & Rademacher, in preparation.
  • Mobile Wireless Sensor Network Monitoring and Management Tool
    Determining the relationship between an animal's behaviour and its environment is fundamental in assessing how it can be effectively protected. Using a combination of wireless sensor networks, GPS tracking and integrative software solutions, we are developing the tools that allow scientists to work at scales, resolutions and ranges that were previously unavailable. This Windows Mobile based control application has been developed to interactively manage and track the status of the sensor network deployed on Skomer Island.
  • SPiM
    The Stochastic Pi Machine (SPiM) is a simulator for the stochastic pi-calculus that can be used to simulate models of Biological systems. The machine has been formally specified, and the specification has been proved correct with respect to the calculus.
  • NetCDF library for .NET
    NetCDF (network Common Data Form) is a software library and a standard binary data format supported by Unidata (http://www.unidata.ucar.edu/software/netcdf/) that enables the creation, access, and network sharing of array-oriented scientific data.
  • Environmental Scenario Search Engine (ESSE)
    The ESSE search-Engine is a flexible, efficient and easy to use search engine for data mining in environmental data archives. ESSE will help you find useful data even if you don't know exactly what you are looking for.
  • ESSE Visualization Plugin for NASA World Wind
    ESSE visualization plugins for interactive visualization of scalar fields, vector fields and trajectories on NASA World Wind.
  • ScatterWeb .NET SDK
    ScatterWeb .NET SDK is a new approach to working with wireless sensor networks. It hides the complexity of embedded programming and makes it easy to handle objects representing wireless sensors.