Microbial plankton occurrence database in the North American Arctic region: synthesis of recent diversity of potentially toxic and harmful algae – Code and Dataset ...

This repository contains both R code and a dataset associated with the article "Microbial plankton occurrence database in the North American Arctic region: synthesis of recent diversity of potentially toxic and harmful algae". The R code and data are provided for data processing, analysis,...

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Bibliographic Details
Main Authors: Schiffrine, Nicolas, Dhifallah, Fatma, Dionne, Kaven, Poulin, Michel, Lessard, Sylvie, Rochon, André, Gosselin, Michel
Format: Text
Language:English
Published: Zenodo 2024
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.10557176
https://zenodo.org/doi/10.5281/zenodo.10557176
Description
Summary:This repository contains both R code and a dataset associated with the article "Microbial plankton occurrence database in the North American Arctic region: synthesis of recent diversity of potentially toxic and harmful algae". The R code and data are provided for data processing, analysis, and visualization. ... : The Arctic Ocean is currently undergoing significant transformations due to climate change, leading to profound changes in its microbial planktonic communities. These communities consist of a wide range of organisms, including photoautotrophic prokaryotes and eukaryotes, as well as heterotrophic, phagotrophic, and mixotrophic protistan species. Here, for simplicity, we refer to these single-celled species as phytoplankton. Within this diversity, potentially toxic and/or harmful algal species (hereafter abbreviated as “HA”) are of particular concern. These organisms have the potential to spread into Arctic waters, posing threats to both human and ecosystem health. Despite their importance, the spatial and temporal distribution of phytoplankton communities, including HA species, in the North American Arctic, remains poorly understood. To address this gap, we compiled and synthesized the largest possible body of data from different databases, individual published and unpublished datasets, and partitioned it ...