Use of EMODNET Biology Data for invasive species policies. What can we learn?
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Updated
Dec 17, 2018
Use of EMODNET Biology Data for invasive species policies. What can we learn?
A workflow and application written in R (Shiny), that gives a multivariate representation of phytoplankton community in the LTER site in the Northern Adriatic.
A workflow and application written in R (Shiny), that gives a multivariate representation of phytoplankton community in the Middle Adriatic.
Workflow for the calculation of OOPS zooplankton gridded abundance maps
Deriving, summarising and visualising thermal affinities for European marine species
Analysis of 40 zooplankton species for the years 2007, 2008, 2010, 2011, 2012 and 2013
This product is a workflow and an example of how data from EMODnet Biology can be verified, checked and used for time series analyses
Access EMODnet Web Coverage Service data through R
Code for the production of presence/absence maps of benthic species in EMODNET biology
Content published on social channels
Code to create the EMODnet Biology data product: Species Distribution Model of Invasive Macroalgae
Deriving presence-absence information for benthic taxa from a multitude of data sources
Temporal trends in the composition of benthic communities based on presence-absence data
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