Open Source Ecosystem Sciences Software
Sort By:
Ecosystem Sciences Software
View 145 business solutionsBrowse free open source Ecosystem Sciences software and projects below. Use the toggles on the left to filter open source Ecosystem Sciences software by OS, license, language, programming language, and project status.
-
Give your HR team the tools they need to streamline administrative tasks, support employees, and make informed decisions with the OrangeHRM free and open source HR software.
-
When it comes to cybersecurity, what your clients don’t know can really hurt them. And believe it or not, keep them safe starts with asking questions. With ConnectWise Identify Assessment, get access to risk assessment backed by the NIST Cybersecurity Framework to uncover risks across your client’s entire business, not just their networks. With a clearly defined, easy-to-read risk report in hand, you can start having meaningful security conversations that can get you on the path of keeping your clients protected from every angle. Choose from two assessment levels to cover every client’s need, from the Essentials to cover the basics to our Comprehensive Assessment to dive deeper to uncover additional risks. Our intuitive heat map shows you your client’s overall risk level and priority to address risks based on probability and financial impact. Each report includes remediation recommendations to help you create a revenue-generating action plan.
-
1
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, https://doi.org/10.5194/gmd-8-1991-2015. For more information visit the project homepage and the wiki.
-
2
ToxTrac
Free Animal Tracking Software
ToxTrac is a free Windows program optimized for tracking animals. It uses an advanced tracking algorithm and includes Preprocessing, Background subtraction, Thresholding, Post-processing, and Filters. It is robust; very fast; and can handle one or several animals in one or several environments. The program provides useful statistics as output. ToxTrac can be used for fish, insects, rodents, etc. If used, please cite: Rodriguez, A., Zhang, H., Klaminder, J., Brodin, T., Andersson, P. L. and Andersson, M. (2018). ToxTrac: a fast and robust software for tracking organisms. Methods in Ecology and Evolution. 9(3):460–464 Rodriguez, A., Zhang, H., Klaminder, J., Brodin, T., and Andersson, M. (2017). ToxId: an algorithm to track the identity of multiple animals. Scientific Reports. 7(1):14774. Contact Magnus Andersson, Department of Physics, Umeå University magnus.andersson@umu.se **Support** Alvaro Rodriguez, Main Developer a.tajes@udc.es -
3
An easy to use application to design your kitchen garden or your house farm. Helps you plan your plants ( vegetables, fruit trees, herbs, flowers ) so that it respects the rules of crop rotation and companion planting. Based on square foot gardening. Requires Java 8.
-
4
openLCA
professional open source software for LCA
Software for sustainability assessment, highly modular; initially focused on Life Cycle Assessments. -
This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
-
5
openLISEM
A spatial runoff, soil erosion and flooding model
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. -
6
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.
-
7
PAMGUARD
Detection Classification and Localisation of marine mammals
The PAMGUARD project develops software to help detect, locate and classify marine mammals using Passive Acoustic Monitoring. This project is being migrated to github at https://github.com/PAMGuard. Please go there for the latest updates. thank you sourceforge for hosting us for all these years. -
8
Niche Analyst (NicheA) was developed based on the BAM framework which allows users to create virtual spaces and virtual species, and to analyze ecological niches in both multivariate environmental and geographic spaces, linking views of the niche in the two spaces. The unique functionality in NicheA, not available in other software programs, is estimating Grinnellian niches of species based on environmental variables and occurrence records, but with a clear focus on fundamental ecological niches. NicheA can display ecological niches; calculate their shape, density, location, and other attributes; and quantify similarity among multiple niches.
-
9
MCC-LIDAR
Multiscale Curvature Classification for LIDAR Data
MCC-LIDAR is a C++ application for processing LiDAR data in forested environments. It classifies data points as ground or non-ground using the Multiscale Curvature Classification algorithm. -
Chat with your business data with Looker. More than just a modern business intelligence platform, you can turn to Looker for self-service or governed BI, build your own custom applications with trusted metrics, or even bring Looker modeling to your existing BI environment.
-
10
Biosphere3D
Interactive landscape rendering based on a virtual globe.
Biosphere3D targets interactive landscape rendering based on a virtual globe. It supports DEM, satellite and aerial images, 3D models (Collada), 3D plant models, and Shapefiles. Biosphere3D was initially developed by the landscape visualization group of the Zuse Institute Berlin by Malte Clasen and is now developed further by Lenné3D GmbH. For more information about the used concepts have a look at the thesis of Malte Clasen: Towards Interactive Landscape Visualization Doctoral Thesis published 2011 via Technische Universität Berlin https://doi.org/10.14279/depositonce-3005 -
11
SeaBreeze
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). -
12
The Life Cycle Assessment Spreadsheet allows you to calculate carbon footprints and other environmental impacts for given product systems. Use requires basic skills in LCA and matrix algebra, but rewards effort with professional analytical tools.
-
13
jdwglib is a Java library for accesing DWG files. It is essentially a port from the Pythoncad DWG reading classes by Art Haas. jdwglib manages complex DWG objects allowing users to employ these objects directly in their applications.
-
14
Piko stats
Piko solar inverter data communicator and manager
Piko solar inverter interface. Get online real time data and status. Get also history data. Database management of data. Exports, graphs, ... Manage data and stats using a SQLite or MySQL database. Third party intergration. See the Wiki home page for more informations. -
15
Framework for storing and editing Forestry-related XML data, with a specialised graphical interface for each object type. Plug-in API for adding functionality. Coded in Java, uses WebStart for distribution, swing GUI, ~100k lines of code.
-
16
This software enable cannabis grower to manage and retrieve statistics about culture, tools included have the goal to help growing indoor cannabis.
-
17
KalypsoBASE is a Desktop-GIS built on Eclipse. It's focus lies on modelling gis data using GML Application-Schemata. Features contain generic dialogs based on GML, maps based on OGC's SLD, and other tools like a charting framework or API for timeseries
-
18
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.
-
19
-
20
Cultivation is a game about the interactions within a gardening community. The resources needed for genetic propagation are tight, and relations can become tense. Cultivation explores self-interest, the common good, conflict, and compromise.
-
21
Conefor Sensinode quantifies the importance of habitat areas for the maintenance or improvement of landscape connectivity. It is conceived as a tool for decision-making support in landscape planning and conservation. Further details: www.conefor.org
-
22
MacPHREEQC
macOS version of the USGS geochemical modeling code PHREEQC
The macOS version of PHREEQC, a program developed by the U.S. Geological Survey for speciation, batch-reaction, one-dimensional transport, and inverse geochemical calculations -
23
PAMGuide
An analysis tool in MATLAB and R for acoustic habitat characterisation
PAMGuide is acoustic analysis software for the characterisation of the acoustic environment from sound recordings. PAMGuide can be used to produce calibrated spectrograms and statistical analyses of sound levels, and is provided in both MATLAB and R. A Tutorial on getting started with PAMGuide can be downloaded here: http://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12330/suppinfo PAMGuide was published as supplementary material to the following Open Access journal article: Merchant, N.D., Fristrup, K.M., Johnson, M.P., Tyack, P.L., Witt, M.J., Blondel, P., Parks, S.E. (2015). Measuring acoustic habitats. Methods in Ecology and Evolution. http://dx.doi.org/10.1111/2041-210X.12330 -
24
SimAssem
For processing and/or simulating species assemblage data.
SimAssem is a tool for investigating the performances of species richness estimators across widely ranging assemblages and survey designs. Assemblages are simulated by specifying the: 1) number of species, 2) total abundance of individuals, 3) abundance distribution, 4) spatial configuration, 5) species detection probabilities, 6) survey design, and 7) number of grid cells to survey (out of a square grid comprised of 10,000 cells). SimAssem also processes existing encounter data and formats existing and simulated encounter data for other programs. SimAssem, along with the open source code, will hopefully give researchers and managers a tool for assessing the development of new estimators and evaluating potential decisions in a simulated environment. More information on SimAssem is given in Chapter 2, 'SimAssem: a program for simulating species assemblages and estimating species richness', in the dissertation 'Simulating species assemblages and evaluating species richness estimators'. -
25
iTag
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.
Guide to Open Source Ecosystem Sciences Software
Open source ecosystem sciences software is a type of program that allows scientists, researchers and other professionals to conduct research on entire ecosystems and populations. It is designed to help them better understand and monitor the effects of different environmental factors, such as climate change, habitat destruction, land use changes and more. Open source ecosystem sciences software is typically used for simulations, data analysis, geospatial mapping applications, geographic information systems (GIS), global information systems (GIS), statistical analysis and modeling tools.
These programs can be used for both macro-scale or micro-scale research projects. For example, open source ecosystem sciences software can be used to analyze a region’s current levels of water resources or air pollution levels. By inputting data related to the environment in question into the program, users can simulate various scenarios according to their own parameters. This helps determine what could happen if certain things are changed based on possible factors like population increases or decreases in natural resource availability over time. In addition to offering simulations capabilities, many of these programs also provide visualization tools which allow users to create visuals like maps with pinpointed areas of interest that could be taken into further study with advanced field work techniques.
In terms of access restrictions and licensing models for open source ecosystem sciences software; a majority require permission from its creators before someone may use it however there are some instances where it is unrestricted or carries minimal limitations regarding distribution and modification policies so people can modify them as they please assuming they attribute the original authors properly when distributing any kind of derivative works created using these toolsets. These kinds of freedoms lend well towards further development by members outside the originating organization which allows for greater compatibility between individual institutions who may possess different hardware platforms or operating systems but want results achieved using similar principles which this sort of applications offer by providing universal standards through modular algorithms allowing multiple sources to feed directly into each other no matter what operating system they're running on while still giving flexibility in how they approach their tasks due to their wide range of capabilities covering virtually every aspect related studies involving ecological communities at both basic levels all way up into complex national level projects requiring complex data feedback loops such as those found within government agencies tasked with managing public lands.. As an added bonus most open source codes are free meaning anyone has access without paying anything further than what was already invested creating them whether it was done by one person or multiple entities teaming up together making them far more cost effective compared purchasing commercial licenses often priced similarly per seat basis making even doing large scale engagements possible without breaking budget restraints normally associated with enterprise-level purchases within scientific academia despite their small teams’ resources available funding wise due incentive reward structures set forth within larger industry corporations.
What Features Does Open Source Ecosystem Sciences Software Provide?
- Licensing: Open source ecosystem science software is typically distributed under an open-source license, which allows for the free distribution and modification of the software. The license may also include conditions that require any modified versions to be redistributable under the same license as the original.
- Collaboration: Open source projects often employ collaborative development techniques such as peer review, feedback on proposed changes, transparent code reviews, and communication tools like mailing lists and forums in order to create a high quality product. These tools help ensure that software is well-tested before release, making it more reliable and secure than proprietary alternatives.
- Security: As open source projects are developed by a community of developers who have access to all of the source code, they can review it regularly and make sure it is free from security vulnerabilities. This provides an extra level of assurance over closed-source programs which are often maliciously or inadvertently vulnerable to attack.
- Flexibility: One key benefit of using open source ecosystem science software is its flexibility. It can be modified for specific needs without needing to purchase a commercial license or pay for technical support from the vendor. This makes it ideal for research purposes where customizations may be necessary or desired.
- Quality Assurance: Developers must adhere to coding standards when creating open source projects in order to maintain reliability, scalability, portability across hardware platforms and operating systems, backward compatibility with previous versions etc.. All changes made during development (bug fixes/enhancements) must pass through a set of tests thereby ensuring quality assurance of the released version(s).
What Are the Different Types of Open Source Ecosystem Sciences Software?
- Operating Systems: Operating systems are the core software that primarily controls and manages a computer’s hardware, as well as providing basic services for other software applications. Open source operating systems have become increasingly popular, offering users an alternative to proprietary software with more freedom to customize their environments.
- Programming Languages: A programming language is a type of code used by developers to create applications, websites, and other forms of digital content. Popular open source programming languages include Java, Python, Ruby on Rails, HTML/CSS and JavaScript.
- Libraries & Frameworks: Open source libraries and frameworks are collections of pre-written code which can be used in new projects or programs instead of writing the same code from scratch. Examples include jQuery (a javascript library), Apache Maven (a build automation tool) and Spring Framework (a java framework).
- Web Servers: Web servers provide the necessary infrastructure for hosting web applications such as websites or online databases. Popular open source web servers include Apache HTTP Server and Nginx.
- Databases: Databases are specialized programs designed for storing large amounts of structured data in order to improve access speed and reliability when retrieving information from them. Popular open source database management systems include MySQL, PostgreSQL and MongoDB.
- Security Software: Security is a major concern when developing any type of digital product or service. Open source security solutions such as ClamAV antivirus can help protect systems against malware threats while also ensuring compliance with industry standards such as HIPAA or PCI DSS.
What Are the Benefits Provided by Open Source Ecosystem Sciences Software?
- Cost Savings: Open source ecosystem sciences software is often provided at no cost, meaning organizations can avoid the financial burden of buying proprietary software. This helps organizations save money that can be put toward other investments.
- Increased Flexibility: Many open source ecosystems allow users to customize their software with additional functions as needed. This gives users more freedom in terms of what features they need for their particular project or goal.
- Increased Security: Open source software is often regularly evaluated by a community of users and developers, making it more secure than closed-source software which may not be reviewed as frequently or thoroughly.
- User Support Networks: Being part of an open source ecosystem provides access to user support networks where questions and issues can be addressed quickly and easily. These forums are also great resources for finding answers to questions you may have about the software itself.
- Improved Collaboration: Open source platforms facilitate collaboration between different stakeholders such as researchers, universities and companies, allowing for the exchange of ideas and data more quickly and efficiently than ever before.
- Transparency & Accountability: With open source ecosystems, code is accessible to all users so any changes or updates can easily be tracked from one version to another. This helps ensure transparency throughout the process while holding developers accountable for any issues that may arise during development or use of the platform.
What Types of Users Use Open Source Ecosystem Sciences Software?
- Scientists: Scientists use open source ecosystem sciences software to analyze and interpret data. They may use the software to create models, simulate scenarios and develop hypotheses.
- Data Analysts: Data analysts are experts at collecting, analyzing and transforming large datasets in various fields of research. Open source software provides them with a platform for data processing and analysis that is inexpensive and reliable.
- Researchers: Researchers use open source software for exploring specific areas of interest such as ecology, geography or oceanography. It allows them to access comprehensive datasets from various sources without having the expense of building their own databases or purchasing proprietary programs.
- Educators: Those teaching courses in environmental science can benefit from using open source software for presenting material related to ecosystems, climates and weather patterns. The availability of free tools allows students to apply their knowledge in a practical manner by creating simulations and models based on real-world conditions.
- Environmental Organizations: Non-profit organizations rely on open source software when conducting field studies into particular types of ecosystems or monitoring global climate change trends over a long period of time. By providing economical solutions with advanced analysis capabilities they can maximize their resources while helping protect natural environments around the world.
- Government Agencies: Government agencies often use open source ecosystem sciences software as part of their operations given its ability to provide important information related to public health issues such as air quality, water contamination levels etc.. These tools enable efficient management of natural resources by providing insights into population growth patterns, resource depletion rates etc., which form part policy decisions over certain periods of time
How Much Does Open Source Ecosystem Sciences Software Cost?
The cost of open source ecosystem sciences software varies greatly, depending on the specific project and its needs. Many of these projects are offered for free, allowing scientists to access powerful tools without having to pay anything. However, some projects may require payment for additional features or services like customer support. Additionally, many teams will need to pay for hosting services and other expenses related to keeping their project running smoothly. All in all, the cost of an open source ecosystem sciences software can range from nothing at all, up to several thousands of dollars depending on the size and complexity of the project.
What Software Can Integrate With Open Source Ecosystem Sciences Software?
Open source ecosystem science software can integrate with a variety of types of software. These include applications designed for data analysis and management, such as statistical or mathematical packages, information visualization tools, data mining programs, and web-based content management systems. Additionally, some of the particular open source projects that are part of the larger open source ecosystem may also provide their own forms of integration support - allowing developers to take advantage of certain components or libraries developed specifically for use in a given project. Additionally, third-party software libraries and frameworks can be utilized to help facilitate the integration process between various pieces of software within the ecosystem.
Recent Trends Related to Open Source Ecosystem Sciences Software
- Increased Popularity and Usage: Open source software has become increasingly popular in the scientific community, due to its ability to be freely customized and adapted to meet the specific needs of individual projects. This has led to a steady growth in the number of users and developers of open source software for scientific applications.
- Improved Quality and Performance: Open source software development often benefits from a larger pool of developers, who are able to provide feedback and suggestions on how to improve the code. This leads to improved quality and performance over time, as well as more features being added.
- Availability of Support: Many open source projects provide support via forums, mailing lists, blogs, and other online resources. This makes it easier for scientists to get help when they encounter problems, or if they need assistance using the software.
- Interoperability: Open source software is often designed with interoperability in mind, which means that it can easily integrate with other scientific tools or software packages. This makes it easier for scientists to share data and collaborate on projects.
- Low Cost: Compared to commercial software packages, open source software is usually free or available at a much lower cost. This makes it an attractive solution for scientists who are working with tight budgets.
How To Get Started With Open Source Ecosystem Sciences Software
Getting started with open source ecosystem sciences software is easy and beneficial for anyone who wants to use it. First, the user should choose a program that will meet their specific needs. They can do this by researching various programs online or by consulting with a professional ecosystem scientist. Once they have decided on an appropriate program, they should download the latest version of it from its website or repository.
The next step is to familiarize oneself with the software and its features. This can be done by reading through available documentation such as user manuals, guides and tutorials created by developers who understand how the system works best. Additionally, users may consider joining forums dedicated to the particular program in order to ask questions and engage in discussions related to it. If a tutorial video is available, this can also be useful as many find visual methods easier to comprehend than text-based instructions alone.
Finally, once all of these steps are taken care of, users should start practicing with the software in order to gain a thorough understanding of how it functions within an ecosystem science context. Open source ecosystems sciences software typically comes preloaded with sample datasets which provide good starting points for exploring different features or gaining knowledge about common tasks involved in using them (e.g., data analysis). Doing this will help users become comfortable enough with the system that they feel confident making their own customizations for projects or study topics down the road.