SAGA - System for Automated Geoscientific Analyses - is a Geographic Information System (GIS) software with immense capabilities for geodata processing and analysis. SAGA is programmed in the object oriented C++ language and supports the implementation of new functions with a very effective Application Programming Interface (API). Functions are organised as modules in framework independent Module Libraries and can be accessed via SAGA’s Graphical User Interface (GUI) or various scripting environments (shell scripts, Python, R, ...). Please provide the following reference in your work if you are using SAGA: Conrad, O., Bechtel, B., Bock, M., Dietrich, H., Fischer, E., Gerlitz, L., Wehberg, J., Wichmann, V., and Boehner, J. (2015): System for Automated Geoscientific Analyses (SAGA) v. 2.1.4. Geosci. Model Dev., 8, 1991-2007, doi:10.5194/gmd-8-1991-2015. http://www.geosci-model-dev.net/8/1991/2015/gmd-8-1991-2015.html.
The application Bio7 is an integrated development environment for ecological modelling and contains powerful tools for model creation, scientific image analysis and statistical analysis. The application itself is based on an RCP-Eclipse-Environment (Rich-Client-Platform) which offers a huge flexibility in configuration and extensibility because of its plug-in structure and the possibility of customization.
Open-source cross-platform spectrometer device driver
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).
Search and download satellite images
RS Downloader offers access to satellite image data pools. Via web interface the user is able to search and download specified satellite images. This version is an alpha and while running stable, currently only retrieves products from NASAs LP DAAC data pool (see https://lpdaac.usgs.gov/data_access/data_pool). Further versions will include updated parsers and spatial selection UIs to access other available sources.
A multi-modeling and simulation environment to study complex systems
VLE is a multi-modeling and simulation environment to study complex dynamic systems. VLE is based on the discrete event specification DEVS. and it implements the DSDE formalism (A merge of Dynamic Structure DEVS, DSDEVS, with Parallel DEVS, PDEVS). VLE provides a complete set of C++ libraries, called VFL (VLE Foundation Libraries), to develop DEVS models, to gets results of simulations, to launch simulation on cluster. The models can be developed with the DEVS formalism or with the classical mathematical formalism: Ordinary Differential Equation with Euler, Range-Kutta or QSS integrator, Finite state automaton (FDDEVS, UML State chart, Hybrid Petri net). The VLE environment provides an IDE to develop C++ models, DEVS coupled models. VLE have also three ports to use the VFL with Python, Java and R programming languages.
GUI Frontend for CDPOP
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.
The aim of the project is create a learning tools for students. If children become aware of consumption, perhaps they will be able to influence and affect a larger system of the school. Within smart energies, the goal of the monitoring system is the control and management, even remotely, ofconsumption and production of energy users are characterized by complex energy systems. Requires DOG - The DOG Operating Ground
Simple python script to plot addresses from Cabang Panti.
This script plots addresses from the Cabang Panti Research grid in Gunung Palung National Park, Indonesia.
To log/share/analyze/optimize/simulate garden activity
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.
Dynamic Linkage Social Aggregation Model
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.
Luscinia is a program for archiving and analyzing field sound recordings (especially of animals). It incorporates an interface to a database, spectrogram measurement algorithms, sound comparison algorithms, and statistical analysis.
Please use the MOHID code official site http://mohid.codeplex.com/, Thank you, The MOHID team
Rachis, A Cross-platform Hierarchical Identification System. Rachis is an application for the cataloguing and identification of entities (taxa). It is being implemented from scratch, but is based heavily on the lessons learned from Taxabase.
3D Evolutionary Tree Visualization
Yggdrasill is a 3D phylogenetic tree visualization software based on the Unity 5 engine. Intended for educational and scientific purposes this demonstration release allows to display and explore evolutionary relationships between different terrestrial vertebrate species. Currently available features include procedural tree generation of evolutionary data provided by the Tree of Life (ToL) Web Project (http://tolweb.org/tree/), full three dimensional camera controls as well as a web search, an extinct species overlay and more. Later updates will include the full ToL dataset, improve tree generation and overall accessability, as well as adding access to other datasets. Special thanks go to the Tree of Life Web Project and all its contributors for providing the data and to Unity Technologies for free access to Unity 5.
Tag images using various categories and modifiers
iTag has been designed for researchers that rely on photographic census techniques of animals that are hard to detect via image recognition algorithms and was originally developed for counting Grey Seals in the German wadden sea during March 2013. It has since then been further expanded and has now reached beta status. iTag allows Users to define up to 9 different categories and name them accordingly. In addition, 4 modifiers are available to further increase the options during a tagging session. Users are able to load a series of Images into a session and add tags on objects on these images within previously defined categories and modifiers. Upon ending the session, result files are produced including (if provided by the EXIF data) the gps information for each Picture, the number of objects in each category and a detailed result file that describes each individual object. In addition, all images that were tagged are saved.