Open Source Windows Ecosystem Sciences Software - Page 2

This is a PDF-File which contains an Exposé about astronomical influences to earth's climate.The original language of the text is german.

The BioEnergy Allocation and Simulation Tool (BEAST) is a tool dedicated to assess political goals of woody bioenergy production in the context of available biomass potentials and corresponding economic and ecological criteria on a regional level. It is a useful tool in participative decision making processes by iterative simulation and visualization of complex issues. BEAST is a data- and model-driven Decision Support System (DSS) evaluating woody biomass potentials from forests, hedges and trees outside forests as well as short rotation coppice (SRC). The latter one is modelled spatially explicit. This opens the possibility to identify prefered areas for SRC production under different restrictions and goals. Forest wood and wood from outside forests are treated only aggregated.

BETR-Research (BETRS) is a modelling framework to create spatially resolved multimedia models for the environmental fate- and transport of chemical contaminants. It is intended to serve the research community and can be used as a teaching tool.

A script to export / convert data from a "binary" .csv to a "data" .csv file for TOMST TMS model 91, 92 and 94 compatible loggers. If some data has been not correctly exported using the TOMST Lolly software, this script will be able to recover all the data saved in the "binary" .csv file and save it as a "data" .csv file. Simply select all the "binary" files you want to export the information from and the data will be exported to corresponding "data" .csv files. Tested on a handful "binary" .csv files from 91, 92 and 94-type TMS loggers.

This software uses data gathered from published biodiversity inventories, together with physical and vegetational maps, to build a biodiversity map (darkening geographical landscape according with the richness/diversity of species).

BioMa is a specimen based Biodiversity database Manager. It is designed to store, organize, and manipulate biodiversity-related scientific data, either for the purposes of museums, scientific collections, or research projects.

BioSARN (Biological Species Approximate Realized Niche) refines environmental niche model output using topographic, soil and land class filtering, enhanced temporal corridor definition, niche area quantification and output to a high spatial resolution land class model. This is a Java™ Desktop MicroSoft Windows Application with a simple GUI. Preferably BioSARN should be used with 64-bit Java and a substantial RAM as the application reads input files into memory to minimize compute times.

You can download the Color Mod at the Biogenesis main site too (included in the main download now). You also find the sourcecode there. If you want to post a review, remember that this is only a modification, so comment on my changes, not on the simulation. Original project by Joan Queralt Molina: https://sourceforge.net/projects/biogenesis/ Includes Tyler Colemans "Features Mod": https://sourceforge.net/projects/biogenesisfeatu/ Biogenesis discussion forum: https://sourceforge.net/p/biogenesis/discussion/ Biogenesis runs faster (at least for myself) if you open a Google Chrome window (don´t know why :D)

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

birdweights is a a package of scripts to analyze data from an automated system for the measurement of mass and identification of birds at perches.

CDPOPgui is a GUI Frontend for CDPOP What is CDPOP? CDPOP (Cost Distance POPulations) is a spatially-explicit simulator of gene-flow in complex landscapes to explain observed population responses and provide a foundation for landscape genetics. The program implements individual-based population modeling with Mendelian inheritance on a resistant landscape. Simulation begins with an initial homogeneous population and followed by divergence through time as functions of individual based movement, breeding and dispersal on a continuous cost surface. Acknowledgements Allen Warren developed the GUI.The citation for this program is: Landguth EL, Cushman SA (2010) CDPOP: A spatially-explicit cost distance population genetics program. Mol. Ecol. Res. 10, 156-161. Updates to the software, including natural selection, can be referenced with Landguth EL, Cushman SA, Johnson NA (2012) Simulating natural selection in landscape genetics. Molecular Ecology Resources, 12, 363-368.

CE-QUAL-ICM Version 1.0 is a three-dimensional eutrophication model for the Chesapeake Bay and major tributaries developed by researchers at the U.S. Army Corps of Engineers Engineering Research and Development Center in Vicksburg, MS.

Customizable Observation Video imagE Record. COVER software has been designed and developed by Ifremer / LEP in complement of existing software for underwater vehicle videos/photos analysis.

CRAFTY is a large-scale ABM of land use change. It has been designed to allow efficient but powerful simulation of a wide range of land uses and the goods and services they produce. It is fully open-source and can be used without the need for any programming.

Project moved to GitHub: github.com/rejjir/CSESD-archiving

This software enable cannabis grower to manage and retrieve statistics about culture, tools included have the goal to help growing indoor cannabis.

This project implements calculations for the Climate Equity Reference Project's Calculator (CERc).

A system for correlating various sources of real-time weather monitoring devices in order to increase the accuracy of meteorological forecasts.

The COMBO model projects climate change impacts to coral reefs based on estimated future changes in sea-surface temperature and ocean acidification. Outputs include estimated timing of bleaching events, changes in coral reef cover, and associated changes in economic values.

Comunidata reads a table with abundance data for different species in different points, as well as environmental data for each point. Then it sorts the species according to its pondered mean along the environmental gradient, and shows the graph.

An online database and cross-platform, game-like client where gardeners/farmers (small or large scale) can log their actions and measurements (such as weather, yield, current plant size). Any user can then play it back visually, or play with the data and see a simulation inferred from the knowledge database, or calculate an optimal design within given constraints, inferred from the knowledge available at that time. This is both a tool for playing, in order to entertain and inspire people, as well as a serious feedback and design tool. There will be a user feedback system to value the accuracy of the data. It is allowed to enter and share mock farming data, as long as it's tagged as being fantasy, to exclude it from the analyses. Things like dietary information, tiredness and bio-constructions will be included as well, to improve optimizations of a garden design with (partial) self-sufficiency in mind. The UI will resemble a garden, and can switch to simplified views.

DIET Agents is a lightweight, scalable and robust multi-agent platform in Java. It is especially suitable for rapidly developing P2P prototype applications and/or adaptive, distributed applications that use bottom-up, nature-inspired techniques.

DLESE (Digital Library for Earth System Education) is a community-supported digital library dedicated to the collection, enhancement, and distribution of materials that facilitate learning about the Earth. Sponsored by the US National Science Foundation.

DeepSee is an interactive workspace for deep ocean scientists to upload sediment core data and map images and see their sampling history displayed across multiple connected views at once! 🦑🦀🐚 🚀 For a live demo, visit: https://www.its.caltech.edu/~datavis/deepsee/ 🌱 To get started, visit our Wiki: https://sourceforge.net/p/deepsee/wiki/Home/ 🧑‍💻 To modify DeepSee for your own project, visit our GitHub repository: https://github.com/orphanlab/DeepSee/ --- Created by Adam Coscia, Haley M. Sapers, Noah Deutsch, Malika Khurana, John S. Magyar, Sergio A. Parra, Daniel R. Utter, Rebecca L. Wipfler, David W. Caress, Eric J. Martin, Jennifer B. Paduan, Maggie Hendrie, Santiago Lombeyda, Hillary Mushkin, Alex Endert, Scott Davidoff, and Victoria J. Orphan. Copyright (c) 2022-23 California Institute of Technology ("Caltech"). U.S. Government sponsorship acknowledged. All rights reserved. Open Source License Approved by Caltech/JPL APACHE LICENSE, VERSION 2.0 ---

We have moved, the project is now at http://distancesampling.org