Search Results for "mingw-arm"

An nopensource runoff, erosion and flood model openLISEM. There are two branches: - the classic openLISEM that you can find here: https://github.com/vjetten/openlisem/, please contact Victor Jetten (v.g.jetten@utwente.nl) for details. - the multihazard version of LISEM on this page, for details contact Bastian van den Bout (b.vandenbout@utwente.nl). This software is made available under the licence GPL v3.

SeaBreeze is a device driver library that provides an interface to select Ocean Optics spectrometers. It is written in C/C++ and builds and runs on Windows (XP/7/8), MacOSX, and Linux (x86/x64/ARM).

Given the importance of anthropogenic determinants in forest ecosystems within Europe, the objective of the FFSM++ model is to link the evidence arising from biological models with socio-economic determinants, where the expected returns of forest investments represent the main drivers. An (inventory-based) forest dynamic model is hence coupled with a (partial equilibrium) market module and a (micro-based) management one in a national level forest sector model for France (FFSM++). The...

This project has been moved to GitHub, available on: <https://github.com/CELTAB/rfidmonitor>. This repository on SourceForge is no long going to be updated. --//-- This project aims to provide a software solution for the researchers of the Itaipu dam. The system is capable of reading data from the Texas Instruments hardware. It currently works on Linux x86_64 & arm.

ElicitN uses R and a tcltk gui interface for eliciting a number from an appropriate expert. The code has been modified from it's original version designed specifically for eliciting the number of species on coral reefs from expert taxonomists. For more information please refer to: http://dx.doi.org/10.1016/j.envsoft.2011.11.011 Please also refer to GitHub for a even simpler more recently maintained version of the project: https://github.com/beckyfisher/ElicitN

Program performs bird species recognition by their voices. In early stage of development but working well with some popular species and good samples quality.

MBAS -- Macro-Biological Analysis System -- provides a set of interoperable tools for aid in the analysis of biological data. The backing database is currently PostgreSQL and the primary language is C, though some data entry tools are written in Java.