Articles | Volume 11, issue 1
Earth Syst. Sci. Data, 11, 119–128, 2019
https://doi.org/10.5194/essd-11-119-2019
Earth Syst. Sci. Data, 11, 119–128, 2019
https://doi.org/10.5194/essd-11-119-2019

  24 Jan 2019

24 Jan 2019

A synthetic satellite dataset of the spatio-temporal distributions of Emiliania huxleyi blooms and their impacts on Arctic and sub-Arctic marine environments (1998–2016)

Dmitry Kondrik et al.

Data sets

Dataset of E. huxleyi blooms: spatio-temporal distribution and their impact on high-latitudinal marine environments (1998-2016) Dmitry Kondrik, Eduard Kazakov, and Dmitry Pozdnyakov https://doi.org/10.5281/zenodo.1402033

Download
Short summary
This paper presents a description of the original database of blooms of the calcifying phytoplankton in sub-Arctic and Arctic seas, their spatio-temporal features and associated environmental influences. This type of phytoplankton is efficient in decreasing the ability of the ocean to intake external carbon dioxide and hence amplifies the greenhouse effect. The published database can be used by a large community of users involved in studies of both aquatic ecology and carbon cycles.