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A free and Open Source web solution for citizen science projects for biodiversity data collection.
lang: TypeScript
stars: 19
last activity:
A biological collections data management platform.
lang: TypeScript
stars: 67
last activity:
Making acoustic scattering models available to fisheries and plankton scientists.
lang: Python
stars: 9
last activity:
A model that predicts plant growth over time given crop-specific parameters and environmental data as input.
lang: C++
stars: 41
last activity:
The Predictive Ecosystem Analyzer is an integrated ecological bioinformatics toolbox.
lang: R
stars: 203
last activity:
Coordinates the digital capture of tree growth data in the field, allowing to establish employment for people living in extreme poverty based on tree planting.
lang: Kotlin
stars: 91
last activity:
Provides functionality to access data from the European Tracking Network (ETN) database hosted by the Flanders Marine Institute (VLIZ) as part of the Flemish contribution to LifeWatch.
lang: R
stars: 6
last activity:
A multi-criteria decision support platform for informing reef restoration and adaptation interventions.
lang: Julia
stars: 18
last activity:
Efficient Modelling of Landscape Connectivity, Habitat, and Protected Area Networks.
lang: TeX
stars: 19
last activity:
Tools for analyzing changes in biodiversity across scales.
lang: R
stars: 23
last activity:
A philanthropically funded system to help people manage their local marine ecosystems in the face of increasing Ocean temperatures.
lang: TypeScript
stars: 34
last activity:
A software system designed and architected to support next-generation fisheries stock assessment, ecosystem, and socioeconomic modeling.
lang: C++
stars: 16
last activity:
These models simulate forest vegetation dynamics based on LANDIS-II, and incorporate fire and insect disturbance, as well as other important ecological processes.
lang: R
stars: 17
last activity:
Tool to pull and process NWFSC West Coast groundfish survey data for use in PFMC groundfish stock assessments.
lang: R
stars: 10
last activity:
Blends structured wildlife research with artificial intelligence, citizen science, and computer vision to speed population analysis and develop new insights to help fight extinction.
lang: Java
stars: 110
last activity: