Open Source Windows Ecosystem Sciences Software - Page 3

The Dynamic Multispecies Metabolic Modeling (DyMMM [dĭm]) framework is a mathematical modeling tool that integrates multiple constraint-based metabolic models into a single dynamic community metabolic model. The DyMMM framework was formerly known as the DMMM framework. Please use the following citation for bibliographical purposes: Zhuang, K., Izallalen, M., Mouser, P., Richter, H., Risso, C., Mahadevan, R., & Lovley, D. R. (2011). Genome-scale dynamic modeling of the competition between Rhodoferax and Geobacter in anoxic subsurface environments. The ISME journal. Zhuang, K., Ma, E., Lovley, D. R., & Mahadevan, R. (2012). The design of long-term effective uranium bioremediation strategy using a community metabolic model. Biotechnology and Bioengineering.

This project will create a user-friendly modeling system for studying animal social aggregations. The model codifies the a new hypothesis that the animal's state, kinematics, and the group's emergent properties are dynamically linked together, with each one affecting the others. The model will be constructed using Object-Oriented MatLab.

ECMWF parser is a software made in python (it has a version standalone and another python dependant) to work on the data provided by ECMWF. It uses WGRIB to convert binary data to ascii and operates over the last with several functions available.

The EDAM ENCHILADA - The Exploratory Data Analysis and Management Project's Environmental Chemistry Data Processing and Mining Application.

EcoGeographica is a system that allows field naturalists and scientists to collate and distribute ecological and environmental data, images and files. See www.ecogeographica.net for more details.

EcoMod is an OpenGL application for 3D modelling, simulation and visualization of ecosystems. Trees are modelled and used within simulation to render the emerging natural phenomena of spontaneous afforestation process. Multidisciplinary.

Electronics schematics, PCB images, firmware and documentation to create and deploy a network of ecology related sensors.

EDAS2 is a web-based environmental quality data management and decision support framework

The Evolutionary Environment (EvENet) provides a P2P Network for guiding the evolution of Software Services and Service Compositions over time. This evolution is based on knowledge sharing and optimised using GA and Agent Systems. It is part of the DBE.

The Evolutionary Environment Simulator (EvESimulator) is an agent-based economy simulation framework which provides a broader view on evolutionary aspects within a Digital Business Ecosystem.

This project has been moved to https://bitbucket.org/pbazant/evoversum/src/master/ . Evoversum is a fast Darwinian evolution simulator. The program simulates a 2D world populated with "animals" which struggle for food, reproduce and may also eat each other. The subject of evolution is their behavior, which may become quite complex. There is an updated video tutorial at http://www.youtube.com/watch?v=nPkZvyVDWJU !

Extended Bioaccumulation Framework (ExBAF) is a tool for assessing bioaccumulation in foodwebs. Supports several bioaccumulation models and provides tools for analysis and visualization.

A library of R packages for use in fisheries modelling, including the evaluation of management strategies and stock assessment.

The software takes the initial gene correlations obtained as initial data, or from a Genepop file, and simulates the transgenerational transition of both the gene correlations and the fixation indices (Fls, Fil y Fis) for any number of generations.

FishLAB is an easy-to-use program for tracking aquarium water chemistry. With FishLab you can monitor pH, hardness, NH4, NO2, NO3, Fe, CO2 (the software converts units where needed). The graph function warns you of bad trends in water quality.

Fuzzy Ecospace Modelling (FEM) is an R-based program for quantifying and comparing functional disparity, using a fuzzy set theory-based machine learning approach. FEM clusters n-dimensional matrices of functional traits (ecospace matrices – here called the Training Matrix) into functional groups and converts them into fuzzy functional groups using fuzzy discriminant analysis (Lin and Chen 2004 – see main text for more information). Following this, FEM classifies the functional entities from a second matrix (the Test Matrix) into the groups made using the Training Matrix, generating fuzzy membership values for each unit in the Test Matrix. These values are real numbers from 0 to 1, representing increasing degrees of “truth” regarding an organism’s membership in the fuzzy set (see main text). A value of 0 represents non-membership in the fuzzy set, and a value of 1 represents total membership in the fuzzy set. Values in between represent degrees of niche overlap.

A cross-platform Java program to turn a simple Geiger counter into the equivalent of a state-of-the art digital model, plus some – using your laptop computer.

Identification of clines from allele frequency or genome-wide databases. Angular transformation. Sigmoid function. Parameterization of a cline: orientation, Pearson’s product-moment correlation coefficient, linear and sigmoid regression and coefficient of determination. Graphical representation of the cline. Confidence limits. Spatial autocorrelation. Moran's index. Isolation by distance. Exponential regression. Correlation Fst/Distance. Centroid method. Cline's expected vs. predicted heterozygosity. MDS. Sammon projection. Geographical distances. Fst distances. Export data to Arlequin, Phylip, Past and Poptree. User-friendly input data.

GIS data for Greece has been scarce. This project aims to provide methods, instructions and data for the construction of environmental maps of Greece with the help of open source GIS tools.

GridSweeper makes it easy to perform batch runs of scientific simulation programs on computational grids/distributed resource management systems.

The web based system specially suited to manage the plants growth with a friendly blog-like interface. Organized and flexible statistics views, well organized database gathers together and develops the experience in gardening and horticulture.

Input 1 - A training dataset (multiple observations) of up to four variables (predictors) against one (response variable) Input 2 - A test dataset (multiple observations) of the same four variables with unknown response variable Output - Calculation of the response variable for each test observation using fuzzy logic or fuzzy rule-based Bayesian algorithms HABFUZZ is a habitat model, which can be used in ecohydraulic modelling applications for the calculation of the instream habitat suitability in various discharge scenarios in a simulated river reach. It comes with no graphical user interface but it's a one-click tool. Just provide your input and let HABFUZZ provide you the output. The HABFUZZ manual https://github.com/chtheodoro/habfuzz/blob/master/HABFUZZ_v2.5_manual.pdf HABFUZZ in the Journal of Open Source Software http://joss.theoj.org/papers/1ad27db8f0976c28a75e20d34eba5ee2 HABFUZZ website https://chtheodoro.wixsite.com/habfuzz

The service takes advantage of the environmental control networks existing along the city of Bilbao and the indicators elaborated by their data. These networks consist in a number of networked meteorological stations metering atmospheric variables and other related to pollution, level of pollen in the air, etc. The system uses other data sources in order to provide the user with a complete information overview, including predictions, and taking account predictive simulation and risk models that are being used by some public administrations. The more relevant features for the model are: Geo-referenced data sets about: - Quality of the air in the city - Pollen level - Weather information - Weather forecast

HydroSed2D is a two-dimensional numerical model for hydrodynamics and sediment transport on unstructured mesh.

The Hydroponic Automation Platform Initiative (HAPI) develops and provides hardware and software components for automating food production using hydroponic, aquaponics, and precision agriculture techniques. High-yield production in urban settings is one of the primary goals. Artifacts include hardware design (mainly Arduino-based), firmware, management software and reporting modules.