Dataset Of E. Huxleyi Blooms: Spatio-Temporal Distribution And Their Impact On High-Latitudinal Marine Environments (1998-2016)

Dataset of coccolithophore blooms in polar seas of the Northern Hemisphere, viz. the North, Labrador (with adjacent North Atlantic open waters), Norwegian, Barents, Greenland and Bering seas are presented for the period 1998-2016. Seas are divided into 4 regions, for each of them continuous data ser...

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Main Authors: Kondrik, Dmitry, Kazakov, Eduard, Pozdnyakov, Dmitry
Format: Dataset
Language:English
Published: Zenodo 2018
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.1402033
https://zenodo.org/record/1402033
id ftdatacite:10.5281/zenodo.1402033
record_format openpolar
spelling ftdatacite:10.5281/zenodo.1402033 2023-05-15T15:14:29+02:00 Dataset Of E. Huxleyi Blooms: Spatio-Temporal Distribution And Their Impact On High-Latitudinal Marine Environments (1998-2016) Kondrik, Dmitry Kazakov, Eduard Pozdnyakov, Dmitry 2018 https://dx.doi.org/10.5281/zenodo.1402033 https://zenodo.org/record/1402033 en eng Zenodo https://dx.doi.org/10.1080/01431161.2017.1350304 https://dx.doi.org/10.1134/s000143381709016x https://dx.doi.org/10.1002/2017gl076240 https://dx.doi.org/10.5281/zenodo.1402032 Open Access Creative Commons Attribution Share-Alike 4.0 https://creativecommons.org/licenses/by-sa/4.0 info:eu-repo/semantics/openAccess CC-BY-SA coccolithophores, remote sensing, particulate inorganic carbon, partial pressure of CO2 in water, coccolith concentration, Emiliania huxleyi, arctic seas, barents sea, north sea, norwegian sea, labrador sea, greenland sea, bering sea dataset Dataset 2018 ftdatacite https://doi.org/10.5281/zenodo.1402033 https://doi.org/10.1080/01431161.2017.1350304 https://doi.org/10.1134/s000143381709016x https://doi.org/10.1002/2017gl076240 https://doi.org/10.5281/zenodo.1402032 2021-11-05T12:55:41Z Dataset of coccolithophore blooms in polar seas of the Northern Hemisphere, viz. the North, Labrador (with adjacent North Atlantic open waters), Norwegian, Barents, Greenland and Bering seas are presented for the period 1998-2016. Seas are divided into 4 regions, for each of them continuous data series (as 8-days composites) are published, including information about bloom spatial masks, coccolith concentration, particulate inorganic carbon content and CO 2 partial pressure in water increment driven by coccolithophores. Datasets are published as NetCDF files with full metadata/descriptions and with GDAL support. Additional information (regions configuration, data access instructions) is provided alongside the data. Naming convention is: niersc_cocco_<version of dataset>_<region>_<start date>_<end date>.nc : A detailed description of data obtaining methodologies and other details are planned to be published soon in one of the international peer-reviewed journals focused on Earth Science datasets. We express our particular gratitude for the financial support of this study provided by the Russian Science Foundation (RSF) under the project 17-17-01117. : {"references": ["Dmitry Kondrik, Dmitry Pozdnyakov & Lasse Pettersson (2017) Particulate inorganic carbon production within E. huxleyi blooms in subpolar and polar seas: a satellite time series study (1998\u20132013), International Journal of Remote Sensing, 38:22, 6179-6205, DOI: 10.1080/01431161.2017.1350304", "Kondrik, D., Pozdnyakov, D. & Pettersson, L. Izv. Atmos. Ocean. Phys. (2017) 53: 955. https://doi.org/10.1134/S000143381709016X", "Kondrik, D. V., Pozdnyakov, D. V., & Johannessen, O. M. (2018). Satellite evidence that E. huxleyi phytoplankton blooms weaken marine carbon sinks. Geophysical Research Letters, 45, 846\u2013854. https://doi.org/10.1002/2017GL076240", "Pozdnyakov, D. V., Pettersson, L. H., & Korosov, A. A. (2017). Exploring the Marine Ecology from Space: Experience from Russian-Norwegian Cooperation. Springer."]} Dataset Arctic Barents Sea Bering Sea Greenland Greenland Sea Labrador Sea North Atlantic Norwegian Sea Phytoplankton DataCite Metadata Store (German National Library of Science and Technology) Arctic Barents Sea Bering Sea Greenland Johannessen ENVELOPE(-65.415,-65.415,-65.427,-65.427) Norwegian Sea
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic coccolithophores, remote sensing, particulate inorganic carbon, partial pressure of CO2 in water, coccolith concentration, Emiliania huxleyi, arctic seas, barents sea, north sea, norwegian sea, labrador sea, greenland sea, bering sea
spellingShingle coccolithophores, remote sensing, particulate inorganic carbon, partial pressure of CO2 in water, coccolith concentration, Emiliania huxleyi, arctic seas, barents sea, north sea, norwegian sea, labrador sea, greenland sea, bering sea
Kondrik, Dmitry
Kazakov, Eduard
Pozdnyakov, Dmitry
Dataset Of E. Huxleyi Blooms: Spatio-Temporal Distribution And Their Impact On High-Latitudinal Marine Environments (1998-2016)
topic_facet coccolithophores, remote sensing, particulate inorganic carbon, partial pressure of CO2 in water, coccolith concentration, Emiliania huxleyi, arctic seas, barents sea, north sea, norwegian sea, labrador sea, greenland sea, bering sea
description Dataset of coccolithophore blooms in polar seas of the Northern Hemisphere, viz. the North, Labrador (with adjacent North Atlantic open waters), Norwegian, Barents, Greenland and Bering seas are presented for the period 1998-2016. Seas are divided into 4 regions, for each of them continuous data series (as 8-days composites) are published, including information about bloom spatial masks, coccolith concentration, particulate inorganic carbon content and CO 2 partial pressure in water increment driven by coccolithophores. Datasets are published as NetCDF files with full metadata/descriptions and with GDAL support. Additional information (regions configuration, data access instructions) is provided alongside the data. Naming convention is: niersc_cocco_<version of dataset>_<region>_<start date>_<end date>.nc : A detailed description of data obtaining methodologies and other details are planned to be published soon in one of the international peer-reviewed journals focused on Earth Science datasets. We express our particular gratitude for the financial support of this study provided by the Russian Science Foundation (RSF) under the project 17-17-01117. : {"references": ["Dmitry Kondrik, Dmitry Pozdnyakov & Lasse Pettersson (2017) Particulate inorganic carbon production within E. huxleyi blooms in subpolar and polar seas: a satellite time series study (1998\u20132013), International Journal of Remote Sensing, 38:22, 6179-6205, DOI: 10.1080/01431161.2017.1350304", "Kondrik, D., Pozdnyakov, D. & Pettersson, L. Izv. Atmos. Ocean. Phys. (2017) 53: 955. https://doi.org/10.1134/S000143381709016X", "Kondrik, D. V., Pozdnyakov, D. V., & Johannessen, O. M. (2018). Satellite evidence that E. huxleyi phytoplankton blooms weaken marine carbon sinks. Geophysical Research Letters, 45, 846\u2013854. https://doi.org/10.1002/2017GL076240", "Pozdnyakov, D. V., Pettersson, L. H., & Korosov, A. A. (2017). Exploring the Marine Ecology from Space: Experience from Russian-Norwegian Cooperation. Springer."]}
format Dataset
author Kondrik, Dmitry
Kazakov, Eduard
Pozdnyakov, Dmitry
author_facet Kondrik, Dmitry
Kazakov, Eduard
Pozdnyakov, Dmitry
author_sort Kondrik, Dmitry
title Dataset Of E. Huxleyi Blooms: Spatio-Temporal Distribution And Their Impact On High-Latitudinal Marine Environments (1998-2016)
title_short Dataset Of E. Huxleyi Blooms: Spatio-Temporal Distribution And Their Impact On High-Latitudinal Marine Environments (1998-2016)
title_full Dataset Of E. Huxleyi Blooms: Spatio-Temporal Distribution And Their Impact On High-Latitudinal Marine Environments (1998-2016)
title_fullStr Dataset Of E. Huxleyi Blooms: Spatio-Temporal Distribution And Their Impact On High-Latitudinal Marine Environments (1998-2016)
title_full_unstemmed Dataset Of E. Huxleyi Blooms: Spatio-Temporal Distribution And Their Impact On High-Latitudinal Marine Environments (1998-2016)
title_sort dataset of e. huxleyi blooms: spatio-temporal distribution and their impact on high-latitudinal marine environments (1998-2016)
publisher Zenodo
publishDate 2018
url https://dx.doi.org/10.5281/zenodo.1402033
https://zenodo.org/record/1402033
long_lat ENVELOPE(-65.415,-65.415,-65.427,-65.427)
geographic Arctic
Barents Sea
Bering Sea
Greenland
Johannessen
Norwegian Sea
geographic_facet Arctic
Barents Sea
Bering Sea
Greenland
Johannessen
Norwegian Sea
genre Arctic
Barents Sea
Bering Sea
Greenland
Greenland Sea
Labrador Sea
North Atlantic
Norwegian Sea
Phytoplankton
genre_facet Arctic
Barents Sea
Bering Sea
Greenland
Greenland Sea
Labrador Sea
North Atlantic
Norwegian Sea
Phytoplankton
op_relation https://dx.doi.org/10.1080/01431161.2017.1350304
https://dx.doi.org/10.1134/s000143381709016x
https://dx.doi.org/10.1002/2017gl076240
https://dx.doi.org/10.5281/zenodo.1402032
op_rights Open Access
Creative Commons Attribution Share-Alike 4.0
https://creativecommons.org/licenses/by-sa/4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY-SA
op_doi https://doi.org/10.5281/zenodo.1402033
https://doi.org/10.1080/01431161.2017.1350304
https://doi.org/10.1134/s000143381709016x
https://doi.org/10.1002/2017gl076240
https://doi.org/10.5281/zenodo.1402032
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