Open Source Ecosystem Sciences Software - Page 3

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.

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.

ChesROMS is developing a ROMS model of the Chesapeake Bay to help in the prediction of Harmful Algal Blooms. We hope to catalyze a new method of community modeling with involvement beyond the core researchers of the ChesROMS project.

A project to display the health of local environment on maps. Environmental data from mobile phones uploaded to a website will display CO2, VOC's, Temp. & atmospheric data & particulates. Anonymous climate data will be publicly available.

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.

Dados Observados is a application to share Climatological data. Climatological data, especially precipitation and reservoirs volumes measurements, are fundamental input to decision support software to natural resources managers.

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

DUAPI (distributed unified agent programming interface) is a class library for creating and modelling the society of autonomous software agents. It also common to active objects and virtualization paradigm at all.

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.