Flow cytometry dataset from first year sea ice (FYI) core bottom 5 cm sections showing the abundance of microorganisms (< 20 µm) during leg 2, 3 (February, March and April 2020) of the Arctic MOSAiC expedition

This dataset is a subset of the abundance of microorganisms (smaller than 20 µm) enumerated using flow cytometry (FCM) during the Multidisciplinary drifting observatory for the study of Arctic Climate (MOSAiC) sampled from first year sea ice (FYI) core bottom 5 cm sections from leg 2 and 3 (February...

Full description

Bibliographic Details
Main Authors: Müller, Oliver, Fong, Allison A, Olsen, Lasse Mørk, Hoppe, Clara Jule Marie, Torstensson, Anders, Heitman, Laura, Petelenz, Elzbieta, Larsen, Aud, Tsagaraki, Tatiana M, Mayers, Kyle, Langvad, Maria, Granskog, Mats A, Bratbak, Gunnar
Format: Dataset
Language:English
Published: PANGAEA 2023
Subjects:
IC
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.963560
https://doi.org/10.1594/PANGAEA.963560
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.963560
record_format openpolar
institution Open Polar
collection PANGAEA - Data Publisher for Earth & Environmental Science
op_collection_id ftpangaea
language English
topic Acoustic focusing cytometer
Thermo Fisher
Attune NxT [20 mW 488 nm (blue) laser]
Activity description
Arctic Ocean
Core length
DATE/TIME
Depth
bathymetric
ice/snow
Device type
Event label
Factor
Feature
flow cytometry
Flow cytometry system
Becton Dickinson
FACSCalibur
HAVOC
Heterotrophic nanophytoplankton
Heterotrophic prokaryotes
large
medium
very large
Heterotrophic prokaryotes with relatively high nucleic acid
Heterotrophic prokaryotes with relatively low nucleic acid
IC
Ice core
Ice corer
Identification
LATITUDE
Leg Number
LONGITUDE
microbial abundance
MOSAiC
MOSAiC_ECO
MOSAiC20192020
MOSAiC expedition
Multidisciplinary drifting Observatory for the Study of Arctic Climate
Orange and red fluorescing nanophytoplankton
Orange and red fluorescing picophytoplankton
Orange fluorescing prokaryote picophytoplankton
Polarstern
PS122/2
PS122/2_23-3
PS122/2_24-8
spellingShingle Acoustic focusing cytometer
Thermo Fisher
Attune NxT [20 mW 488 nm (blue) laser]
Activity description
Arctic Ocean
Core length
DATE/TIME
Depth
bathymetric
ice/snow
Device type
Event label
Factor
Feature
flow cytometry
Flow cytometry system
Becton Dickinson
FACSCalibur
HAVOC
Heterotrophic nanophytoplankton
Heterotrophic prokaryotes
large
medium
very large
Heterotrophic prokaryotes with relatively high nucleic acid
Heterotrophic prokaryotes with relatively low nucleic acid
IC
Ice core
Ice corer
Identification
LATITUDE
Leg Number
LONGITUDE
microbial abundance
MOSAiC
MOSAiC_ECO
MOSAiC20192020
MOSAiC expedition
Multidisciplinary drifting Observatory for the Study of Arctic Climate
Orange and red fluorescing nanophytoplankton
Orange and red fluorescing picophytoplankton
Orange fluorescing prokaryote picophytoplankton
Polarstern
PS122/2
PS122/2_23-3
PS122/2_24-8
Müller, Oliver
Fong, Allison A
Olsen, Lasse Mørk
Hoppe, Clara Jule Marie
Torstensson, Anders
Heitman, Laura
Petelenz, Elzbieta
Larsen, Aud
Tsagaraki, Tatiana M
Mayers, Kyle
Langvad, Maria
Granskog, Mats A
Bratbak, Gunnar
Flow cytometry dataset from first year sea ice (FYI) core bottom 5 cm sections showing the abundance of microorganisms (< 20 µm) during leg 2, 3 (February, March and April 2020) of the Arctic MOSAiC expedition
topic_facet Acoustic focusing cytometer
Thermo Fisher
Attune NxT [20 mW 488 nm (blue) laser]
Activity description
Arctic Ocean
Core length
DATE/TIME
Depth
bathymetric
ice/snow
Device type
Event label
Factor
Feature
flow cytometry
Flow cytometry system
Becton Dickinson
FACSCalibur
HAVOC
Heterotrophic nanophytoplankton
Heterotrophic prokaryotes
large
medium
very large
Heterotrophic prokaryotes with relatively high nucleic acid
Heterotrophic prokaryotes with relatively low nucleic acid
IC
Ice core
Ice corer
Identification
LATITUDE
Leg Number
LONGITUDE
microbial abundance
MOSAiC
MOSAiC_ECO
MOSAiC20192020
MOSAiC expedition
Multidisciplinary drifting Observatory for the Study of Arctic Climate
Orange and red fluorescing nanophytoplankton
Orange and red fluorescing picophytoplankton
Orange fluorescing prokaryote picophytoplankton
Polarstern
PS122/2
PS122/2_23-3
PS122/2_24-8
description This dataset is a subset of the abundance of microorganisms (smaller than 20 µm) enumerated using flow cytometry (FCM) during the Multidisciplinary drifting observatory for the study of Arctic Climate (MOSAiC) sampled from first year sea ice (FYI) core bottom 5 cm sections from leg 2 and 3 (February, March, April 2020). For sea ice derived FCM abundance data, subsamples of 15 mL were taken from pooled ice core sections that were melted in filtered sea water and correspondingly a correction factor applied (details provided in the data-file), to enumerate the abundance of microorganisms per mL of melted sea ice. Additional expedition and sampling details can be found in the ECO-overview paper (Fong et al., to be submitted to Elementa). We thank all persons involved in the expedition of the Research Vessel Polarstern during MOSAiC in 2019-2020 (AWI_PS122_00) as listed in Nixdorf et al. (2021). Flow cytometry (FCM) is a fast, high-throughput method to enumerate the abundance of microorganism (smaller than 20 µm). FCM uses the hydrodynamic focusing of a laminar flow to separate and line up microscopic particles. When particles pass a laser beam, the generated light scattering can be used to estimate their cell size, obtain information about cell granularity and surface characteristics and determine fluorescence from inherent pigments or applied stains, such as DNA binding ones. Photosynthetic microorganisms have auto-fluorescent pigments, such as chlorophylls which in combination with the light scattering properties (cell size) or surface properties, can be used to group them into clusters of similar or identical organism types. Heterotrophic microorganisms, including archaea, bacteria and heterotrophic nanoflagellates, and virus do not have fluorescent pigments and require staining, for example using SYBR Green to stain Nucleic Acids (DNA) in order to distinguish these cells from other organic and inorganic particles in the sample. Samples for flow cytometric analysis were taken in triplicates or quadruplicates of ...
format Dataset
author Müller, Oliver
Fong, Allison A
Olsen, Lasse Mørk
Hoppe, Clara Jule Marie
Torstensson, Anders
Heitman, Laura
Petelenz, Elzbieta
Larsen, Aud
Tsagaraki, Tatiana M
Mayers, Kyle
Langvad, Maria
Granskog, Mats A
Bratbak, Gunnar
author_facet Müller, Oliver
Fong, Allison A
Olsen, Lasse Mørk
Hoppe, Clara Jule Marie
Torstensson, Anders
Heitman, Laura
Petelenz, Elzbieta
Larsen, Aud
Tsagaraki, Tatiana M
Mayers, Kyle
Langvad, Maria
Granskog, Mats A
Bratbak, Gunnar
author_sort Müller, Oliver
title Flow cytometry dataset from first year sea ice (FYI) core bottom 5 cm sections showing the abundance of microorganisms (< 20 µm) during leg 2, 3 (February, March and April 2020) of the Arctic MOSAiC expedition
title_short Flow cytometry dataset from first year sea ice (FYI) core bottom 5 cm sections showing the abundance of microorganisms (< 20 µm) during leg 2, 3 (February, March and April 2020) of the Arctic MOSAiC expedition
title_full Flow cytometry dataset from first year sea ice (FYI) core bottom 5 cm sections showing the abundance of microorganisms (< 20 µm) during leg 2, 3 (February, March and April 2020) of the Arctic MOSAiC expedition
title_fullStr Flow cytometry dataset from first year sea ice (FYI) core bottom 5 cm sections showing the abundance of microorganisms (< 20 µm) during leg 2, 3 (February, March and April 2020) of the Arctic MOSAiC expedition
title_full_unstemmed Flow cytometry dataset from first year sea ice (FYI) core bottom 5 cm sections showing the abundance of microorganisms (< 20 µm) during leg 2, 3 (February, March and April 2020) of the Arctic MOSAiC expedition
title_sort flow cytometry dataset from first year sea ice (fyi) core bottom 5 cm sections showing the abundance of microorganisms (< 20 µm) during leg 2, 3 (february, march and april 2020) of the arctic mosaic expedition
publisher PANGAEA
publishDate 2023
url https://doi.pangaea.de/10.1594/PANGAEA.963560
https://doi.org/10.1594/PANGAEA.963560
op_coverage MEDIAN LATITUDE: 85.653893 * MEDIAN LONGITUDE: 36.811878 * SOUTH-BOUND LATITUDE: 83.917641 * WEST-BOUND LONGITUDE: 13.091900 * NORTH-BOUND LATITUDE: 87.781189 * EAST-BOUND LONGITUDE: 93.215103 * DATE/TIME START: 2020-02-03T07:45:00 * DATE/TIME END: 2020-04-27T10:22:00 * MINIMUM DEPTH, ice/snow: 1.148 m * MAXIMUM DEPTH, ice/snow: 3.125 m
long_lat ENVELOPE(13.091900,93.215103,87.781189,83.917641)
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
ice core
Sea ice
genre_facet Arctic
Arctic Ocean
ice core
Sea ice
op_relation Larsen, L B; Larsen, Aud; Thyrhaug, Runar; Bratbak, Gunnar; Sandaa, Ruth-Anne (2008): Response of marine viral populations to a nutrient induced phytoplankton bloom at different pCO2 levels. Biogeosciences, 5(2), 523-533, https://doi.org/10.5194/bg-5-523-2008
Marie, Dominique; Brussaard, Corina P D; Thyrhaug, Runar; Bratbak, Gunnar; Vaulot, Daniel (1999): Enumeration of Marine Viruses in Culture and Natural. Applied and Environmental Microbiology, 65(1), 45-52, https://doi.org/10.1128/AEM.65.1.45-52.1999
Neeley, Aimee; Soto, Inia; Proctor, Christopher W (2023): Standards and Best Practices For Reporting Flow Cytometry Observations: a technical manual. Version 1.1. UNESCO/IOC, https://doi.org/10.25607/OBP-1864.2
Nixdorf, Uwe; Dethloff, Klaus; Rex, Markus; Shupe, Matthew D; Sommerfeld, Anja; Perovich, Donald K; Nicolaus, Marcel; Heuzé, Céline; Rabe, Benjamin; Loose, Brice; Damm, Ellen; Gradinger, Rolf; Fong, Allison A; Maslowski, Wieslaw; Rinke, Annette; Kwok, Ronald; Spreen, Gunnar; Wendisch, Manfred; Herber, Andreas; Hirsekorn, Marius; Mohaupt, Verena; Frickenhaus, Stephan; Immerz, Antonia; Weiss-Tuider, Katharina; König, Bjela; Mengedoht, Dirk; Regnery, Julia; Gerchow, Peter; Ransby, Daniela; Krumpen, Thomas; Morgenstern, Anne; Haas, Christian; Kanzow, Torsten; Rack, Frank R; Saitzev, Vladimir; Sokolov, Vladimir; Makarov, Alexander; Schwarze, Stefan; Wunderlich, Thomas; Wurr, Karsten; Boetius, Antje (2021): MOSAiC Extended Acknowledgement. Zenodo, https://doi.org/10.5281/zenodo.5179738
Thyssen, Melilotus; Grégori, Gérald; Créach, Véronique; Lahbib, Soumaya; Dugenne, Mathilde; Aardema, Hedy M; Artigas, Luis Felipe; Huang, Bangqin; Barani, Aude; Beaugeard, Laureen; Bellaaj-Zouari, Amel; Beran, Alfred; Casotti, Raffaella; Del Amo, Yolanda; Denis, Michel; Dubelaar, George BJ; Endres, Sonja; Haraguchi, Lumi; Karlson, Bengt; Lambert, Christophe; Louchart, Arnaud; Marie, Dominique; Moncoiffé, Gwenaëlle; Pecqueur, David; Ribalet, François; Rijkeboer, Machteld; Silovic, Tina; Silva, Ricardo; Marro, Sophie; Sosik, Heidi M; Sourisseau, Marc; Tarran, Glen A; Van Oostende, Nicolas; Zhao, Li; Zheng, Shan (2022): Interoperable vocabulary for marine microbial flow cytometry. Frontiers in Marine Science, 9, 975877, https://doi.org/10.3389/fmars.2022.975877
Zubkov, M V; Burkill, P H; Topping, J N (2006): Flow cytometric enumeration of DNA-stained oceanic planktonic protists. Journal of Plankton Research, 29(1), 79-86, https://doi.org/10.1093/plankt/fbl059
https://doi.pangaea.de/10.1594/PANGAEA.963560
https://doi.org/10.1594/PANGAEA.963560
op_rights CC-BY-4.0: Creative Commons Attribution 4.0 International
Access constraints: unrestricted
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1594/PANGAEA.96356010.5194/bg-5-523-200810.1128/AEM.65.1.45-52.199910.25607/OBP-1864.210.5281/zenodo.517973810.3389/fmars.2022.97587710.1093/plankt/fbl059
_version_ 1802641034023272448
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.963560 2024-06-23T07:50:10+00:00 Flow cytometry dataset from first year sea ice (FYI) core bottom 5 cm sections showing the abundance of microorganisms (< 20 µm) during leg 2, 3 (February, March and April 2020) of the Arctic MOSAiC expedition Müller, Oliver Fong, Allison A Olsen, Lasse Mørk Hoppe, Clara Jule Marie Torstensson, Anders Heitman, Laura Petelenz, Elzbieta Larsen, Aud Tsagaraki, Tatiana M Mayers, Kyle Langvad, Maria Granskog, Mats A Bratbak, Gunnar MEDIAN LATITUDE: 85.653893 * MEDIAN LONGITUDE: 36.811878 * SOUTH-BOUND LATITUDE: 83.917641 * WEST-BOUND LONGITUDE: 13.091900 * NORTH-BOUND LATITUDE: 87.781189 * EAST-BOUND LONGITUDE: 93.215103 * DATE/TIME START: 2020-02-03T07:45:00 * DATE/TIME END: 2020-04-27T10:22:00 * MINIMUM DEPTH, ice/snow: 1.148 m * MAXIMUM DEPTH, ice/snow: 3.125 m 2023 text/tab-separated-values, 226 data points https://doi.pangaea.de/10.1594/PANGAEA.963560 https://doi.org/10.1594/PANGAEA.963560 en eng PANGAEA Larsen, L B; Larsen, Aud; Thyrhaug, Runar; Bratbak, Gunnar; Sandaa, Ruth-Anne (2008): Response of marine viral populations to a nutrient induced phytoplankton bloom at different pCO2 levels. Biogeosciences, 5(2), 523-533, https://doi.org/10.5194/bg-5-523-2008 Marie, Dominique; Brussaard, Corina P D; Thyrhaug, Runar; Bratbak, Gunnar; Vaulot, Daniel (1999): Enumeration of Marine Viruses in Culture and Natural. Applied and Environmental Microbiology, 65(1), 45-52, https://doi.org/10.1128/AEM.65.1.45-52.1999 Neeley, Aimee; Soto, Inia; Proctor, Christopher W (2023): Standards and Best Practices For Reporting Flow Cytometry Observations: a technical manual. Version 1.1. UNESCO/IOC, https://doi.org/10.25607/OBP-1864.2 Nixdorf, Uwe; Dethloff, Klaus; Rex, Markus; Shupe, Matthew D; Sommerfeld, Anja; Perovich, Donald K; Nicolaus, Marcel; Heuzé, Céline; Rabe, Benjamin; Loose, Brice; Damm, Ellen; Gradinger, Rolf; Fong, Allison A; Maslowski, Wieslaw; Rinke, Annette; Kwok, Ronald; Spreen, Gunnar; Wendisch, Manfred; Herber, Andreas; Hirsekorn, Marius; Mohaupt, Verena; Frickenhaus, Stephan; Immerz, Antonia; Weiss-Tuider, Katharina; König, Bjela; Mengedoht, Dirk; Regnery, Julia; Gerchow, Peter; Ransby, Daniela; Krumpen, Thomas; Morgenstern, Anne; Haas, Christian; Kanzow, Torsten; Rack, Frank R; Saitzev, Vladimir; Sokolov, Vladimir; Makarov, Alexander; Schwarze, Stefan; Wunderlich, Thomas; Wurr, Karsten; Boetius, Antje (2021): MOSAiC Extended Acknowledgement. Zenodo, https://doi.org/10.5281/zenodo.5179738 Thyssen, Melilotus; Grégori, Gérald; Créach, Véronique; Lahbib, Soumaya; Dugenne, Mathilde; Aardema, Hedy M; Artigas, Luis Felipe; Huang, Bangqin; Barani, Aude; Beaugeard, Laureen; Bellaaj-Zouari, Amel; Beran, Alfred; Casotti, Raffaella; Del Amo, Yolanda; Denis, Michel; Dubelaar, George BJ; Endres, Sonja; Haraguchi, Lumi; Karlson, Bengt; Lambert, Christophe; Louchart, Arnaud; Marie, Dominique; Moncoiffé, Gwenaëlle; Pecqueur, David; Ribalet, François; Rijkeboer, Machteld; Silovic, Tina; Silva, Ricardo; Marro, Sophie; Sosik, Heidi M; Sourisseau, Marc; Tarran, Glen A; Van Oostende, Nicolas; Zhao, Li; Zheng, Shan (2022): Interoperable vocabulary for marine microbial flow cytometry. Frontiers in Marine Science, 9, 975877, https://doi.org/10.3389/fmars.2022.975877 Zubkov, M V; Burkill, P H; Topping, J N (2006): Flow cytometric enumeration of DNA-stained oceanic planktonic protists. Journal of Plankton Research, 29(1), 79-86, https://doi.org/10.1093/plankt/fbl059 https://doi.pangaea.de/10.1594/PANGAEA.963560 https://doi.org/10.1594/PANGAEA.963560 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess Acoustic focusing cytometer Thermo Fisher Attune NxT [20 mW 488 nm (blue) laser] Activity description Arctic Ocean Core length DATE/TIME Depth bathymetric ice/snow Device type Event label Factor Feature flow cytometry Flow cytometry system Becton Dickinson FACSCalibur HAVOC Heterotrophic nanophytoplankton Heterotrophic prokaryotes large medium very large Heterotrophic prokaryotes with relatively high nucleic acid Heterotrophic prokaryotes with relatively low nucleic acid IC Ice core Ice corer Identification LATITUDE Leg Number LONGITUDE microbial abundance MOSAiC MOSAiC_ECO MOSAiC20192020 MOSAiC expedition Multidisciplinary drifting Observatory for the Study of Arctic Climate Orange and red fluorescing nanophytoplankton Orange and red fluorescing picophytoplankton Orange fluorescing prokaryote picophytoplankton Polarstern PS122/2 PS122/2_23-3 PS122/2_24-8 Dataset 2023 ftpangaea https://doi.org/10.1594/PANGAEA.96356010.5194/bg-5-523-200810.1128/AEM.65.1.45-52.199910.25607/OBP-1864.210.5281/zenodo.517973810.3389/fmars.2022.97587710.1093/plankt/fbl059 2024-06-12T14:17:12Z This dataset is a subset of the abundance of microorganisms (smaller than 20 µm) enumerated using flow cytometry (FCM) during the Multidisciplinary drifting observatory for the study of Arctic Climate (MOSAiC) sampled from first year sea ice (FYI) core bottom 5 cm sections from leg 2 and 3 (February, March, April 2020). For sea ice derived FCM abundance data, subsamples of 15 mL were taken from pooled ice core sections that were melted in filtered sea water and correspondingly a correction factor applied (details provided in the data-file), to enumerate the abundance of microorganisms per mL of melted sea ice. Additional expedition and sampling details can be found in the ECO-overview paper (Fong et al., to be submitted to Elementa). We thank all persons involved in the expedition of the Research Vessel Polarstern during MOSAiC in 2019-2020 (AWI_PS122_00) as listed in Nixdorf et al. (2021). Flow cytometry (FCM) is a fast, high-throughput method to enumerate the abundance of microorganism (smaller than 20 µm). FCM uses the hydrodynamic focusing of a laminar flow to separate and line up microscopic particles. When particles pass a laser beam, the generated light scattering can be used to estimate their cell size, obtain information about cell granularity and surface characteristics and determine fluorescence from inherent pigments or applied stains, such as DNA binding ones. Photosynthetic microorganisms have auto-fluorescent pigments, such as chlorophylls which in combination with the light scattering properties (cell size) or surface properties, can be used to group them into clusters of similar or identical organism types. Heterotrophic microorganisms, including archaea, bacteria and heterotrophic nanoflagellates, and virus do not have fluorescent pigments and require staining, for example using SYBR Green to stain Nucleic Acids (DNA) in order to distinguish these cells from other organic and inorganic particles in the sample. Samples for flow cytometric analysis were taken in triplicates or quadruplicates of ... Dataset Arctic Arctic Ocean ice core Sea ice PANGAEA - Data Publisher for Earth & Environmental Science Arctic Arctic Ocean ENVELOPE(13.091900,93.215103,87.781189,83.917641)