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PANGAEA.
Data Publisher for Earth & Environmental Science
Abstract:
This dataset gives an overview of environmental data including temperature, salinity, brine volume fraction (for sea ice only), dissolved nutrients, particulate organic carbon and nitrogen, particulate elemental concentration, as well as chlorophyll a concentrations, bacterial production and the abundance of microorganisms either enumerated using light microscopy (organisms between 20 µm – 300 µm) or flow cytometry (FCM for organisms smaller than 20 µm) of HAVOC sea ice ridge specific samples, taken during the Multidisciplinary drifting observatory for the study of Arctic Climate (MOSAiC) during leg 2, 3 and 4 (December 2019 – August 2020). Additional expedition and sampling details can be found in the ECO-overview paper (Fong et al., 2024). 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).
The yearlong MOSAiC ice drift (October 2019 to September 2020), with the research vessel Polarstern serving as the base, started in the eastern Eurasian Basin and crossed the Amundsen and Nansen basins towards the Fram Strait (Fong et al., 2024). One dedicated research project (Ridges - Safe HAVens for ice-associated flora and fauna in a seasonally ice-covered Arctic Ocean (HAVOC) (Granskog and Müller, 2024) performed detailed and interdisciplinary observations of ridges during MOSAiC. During the drift, three different ridges were sampled at different times of the year. The changes between ridges were necessary, as logistical challenges and ice dynamics prevented the sampling of the same ridge throughout the entire period (see below), highlighting the difficulties associated with studying ridges. The first ridge (R1) was investigated in winter, the second ridge (R2) was investigated in spring, and the third ridge (R3) was investigated in summer. Based on their macrostructural physical properties, the three ridges were similar in characteristics. They formed during the MOSAiC drift (similar age) and were composed of thin ice blocks, with similar sail heights (1–2 m) and average keel depths (3.2–4.3 m).
Ice cores for temperature and salinity measurements as well as biogeochemical variables were extracted with a 9-cm (Mark II) internal diameter ice corer (Kovacs Enterprise, USA). Ice temperature was measured in situ using a Testo 720 thermometer in drill holes with a length of half-core diameter at 5–10 cm vertical resolution. Ice bulk salinity was measured from melted ice core sections using a YSI 30 conductivity meter (the conductivity is converted to salinity and reported on the Practical Salinity Scale 1978, PSS-78, which is dimensionless). The relative brine volume fraction of each section was calculated following Cox and Weeks (1983) and Leppäranta and Manninen (1988) for in situ conditions using the ice temperature profile measured in the field and the bulk salinities.
Ice cores collected for biogeochemical variables were cut into 10 cm long sections in the field and collected in sterile plastic bags, with the focus on the three habitats: the ice of the roof and the floor of water-filled voids, the bottom of the ridge, and, when present, the frozen void and algae inclusions. Biogeochemical variables were, when possible, derived from pooled ice core sections of three replicate cores (R3), and during challenging weather periods (R1 and R2) from single ice cores. The core sections were kept dark and cool, transferred to the lab on board and melted in the dark after the addition of filtered seawater: 50 mL 0.22 µm filtered seawater was added per cm of sea ice thickness, and the sea ice samples melted within 24–36 hours in the dark at around 4°C. When possible, the water (20–30 L) inside the voids, below the ridge and below level ice, was sampled using a manual bilge pump with a silicon tube with a diameter of 20 mm into prewashed polyethylene containers. From both melted sea ice and water samples, sub-samples were taken for determination of inorganic nutrients, biogenic silica (BSi), particulate organic carbon (POC), elemental composition of particles (XRF), chlorophyll a (Chl-a), bacterial production (BP) and abundance and diversity estimates of protists and bacteria through flow cytometry (FCM), light microscopy, as described in more detail below.
Nutrient analysis was performed using colorimetric techniques with an AA3 continuous flow auto analyzer (Seal Analytical), following GO-SHIP protocols. Samples from Jan–May 2020 were analyzed onboard; Jun–Jul samples were frozen and analyzed later. Biogenic and lithogenic silica (BSi & LSi) were quantified using a more laborious time-course digestion protocol which uses 0.1 molar sodium carbonate (as done previously for turbid Arctic coastal water samples in Varela et al. 2016) and allows for better isolation of the BSi signal from the solubilized LSi. Particulate organic carbon (POC) was filtered (0.3–2 L) onto pre-combusted GF/F filters, frozen, acid-fumed, and analyzed via CHN analyzer. Elemental composition was assessed by filtering 0.25–1 L onto polycarbonate filters and total particulate concentrations of P, S, O, Si, Fe and Mg were measured by wavelength dispersive X-Ray fluorescence spectroscopy (WDXRF) using a Bruker® AXE S4 pioneer XRF instrument. Chlorophyll a (Chl-a) was extracted from filtered samples using 90% acetone and measured fluorometrically on a calibrated Turner Design 10-AU fluorometer (Turner Designs, USA), including an acidification step (1 M HCl) to determine phaeopigments (Knap et al., 1996). Protists were identified and counted using inverted light microscopy after preservation with a Lugol-formalin mixture. Samples were settled for 48 hours in Utermöhl chambers and grouped into four main groups (diatoms, dinoflagellates, ciliates and other flagellates). Bacterial production was estimated by incubating samples with tritiated leucine at in situ temperature, followed by TCA fixation and centrifugation. Radioactivity was counted on a Perkin Elmer Liquid Scintillation Analyzer Tri-Carb 2800TR, and leucine incorporation was converted to carbon production using established conversion factors (Simon and Azam, 1989). Flow cytometry was used to quantify phytoplankton, heterotrophic nanoflagellates (HNF), and bacteria from water and melted sea ice samples fixed with glutaraldehyde and stored at -80°C. Phytoplankton were analyzed using an Attune® flow cytometer, with fluorescence-based identification; bacteria and HNF were stained with SYBR Green I and analyzed on a FACS Calibur.
Names of size groups of photosynthetic and heterotrophic organisms are in accordance to "Standards and Best Practices For Reporting Flow Cytometry Observations: a technical manual (Version 1.1)" (https://repository.oceanbestpractices.org/handle/11329/2111.2). A short summary is listed here: RedPico = picophytoplankton (1-2 µm); RedNano = Nanophytoplankton (2-20µm), which includes subgroups RedNano_small (2-5 µm), RedNano_large (5-20 µm); OraPico = Nanophytoplankton with more orange fluorescence; OraNano = Cryptophytes; OraPicoProk = Synechococcus; HetNano = heterotrophic nanoflagellates; HetProk = bacteria (and when present archaea); HetLNA = low nucleic acid (LNA) containing bacteria; HetHNA = high nucleic acid (HNA) containing bacteria with the subgroups HetProk_medium = HNA-bacteria subgroup with less fluorescence signal, HetProk_large = HNA-bacteria subgroup with more fluorescence signal and HetProk_verylarge = HNA-bacteria subgroup with very strong fluorescence signal; Virus = virus-like particles, including size refined subgroups: LFV (low fluorescence virus or small virus); MFV (medium fluorescence virus or medium virus); HFV (high fluorescence virus or large virus) according to Larsen et al., 2008
Keyword(s):
Arctic; bacterial production; BSi; Chl-a; flow cytometry; HAVOC; MOSAiC20192020; MOSAiC_ECO; nutrients; POC; protists; Sea-ice ridges; XRF
References:
Cox, G F N; Weeks, W F (1983): Equations for Determining the Gas and Brine Volumes in Sea-Ice Samples. Journal of Glaciology, 29(102), 306-316, https://doi.org/10.3189/S0022143000008364
Fong, Allison A; Hoppe, Clara Jule Marie; Aberle, Nicole; Ashjian, Carin J; Assmy, Philipp; Bai, Youcheng; Bakker, Dorothee C E; Balmonte, John Paul; Barry, Kevin R; Bertilsson, Stefan; Boulton, William; Bowman, Jeff S; Bozzato, Deborah; Bratbak, Gunnar; Buck, Moritz; Campbell, Robert G; Castellani, Giulia; Chamberlain, Emelia; Chen, Jianfang; Chierici, Melissa; Cornils, Astrid; Creamean, Jessie; Damm, Ellen; Dethloff, Klaus; Droste, Elise Sayana; Ebenhöh, Oliver; Eggers, Sarah Lena; Engel, Anja; Flores, Hauke; Fransson, Agneta; Frickenhaus, Stephan; Gardner, Jessie; Gelfman, Cecilia E; Granskog, Mats A; Graeve, Martin; Havermans, Charlotte; Heuzé, Céline; Hildebrandt, Nicole; Hill, Thomas C J; Hoppema, Mario; Immerz, Antonia; Jin, Haiyan; Koch, Boris P; Kong, Xianyu; Kraberg, Alexandra Claudia; Lan, Musheng; Lange, Benjamin Allen; Larsen, Aud; Lebreton, Benoit; Leu, Eva; Loose, Brice; Maslowski, Wieslaw; Mavis, Camille; Metfies, Katja; Mock, Thomas; Müller, Oliver; Nicolaus, Marcel; Niehoff, Barbara; Nomura, Daiki; Nöthig, Eva-Maria; Oggier, Marc; Oldenburg, Ellen; Olsen, Lasse Mørk; Peeken, Ilka; Perovich, Donald K; Popa, Ovidiu; Rabe, Benjamin; Ren, Jian; Rex, Markus; Rinke, Annette; Rokitta, Sebastian D; Rost, Björn; Sakinan, Serdar; Salganik, Evgenii; Schaafsma, Fokje L; Schäfer, Hendrik; Schmidt, Katrin; Shoemaker, Katyanne M; Shupe, Matthew D; Snoeijs-Leijonmalm, Pauline; Stefels, Jacqueline; Svenson, Anders; Tao, Ran; Torres-Valdés, Sinhué; Torstensson, Anders; Toseland, Andrew; Ulfsbo, Adam; van Leeuwe, Maria A; Vortkamp, Martina; Webb, Alison L; Zhuang, Yanpei; Gradinger, Rolf (2024): Overview of the MOSAiC expedition: Ecosystem. Elementa - Science of the Anthropocene, 12(1), 00135, https://doi.org/10.1525/elementa.2023.00135
Granskog, Mats A; Müller, Oliver (2024): A peek beneath the surface of Arctic sea ice. EU Research, 37(Spring 2024), 38-39, https://doi.org/10.56181/WPBH7703
Knap, Anthony H; Michaels, A; Close, A R; Ducklow, Hugh W; Dickson, Andrew G (1996): Protocols for the Joint Global Ocean Flux Study (JGOFS) Core Measurements. JGOFS, Reprint of the IOC Manuals and Guides No. 29, UNESCO 1994, 19, 210 pp, hdl:10013/epic.27912.d001
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
Leppäranta, M; Manninen, T (1988): The brine and gas content of sea ice with attention to low salinities and high temperatures. Finnish Institute of Marine Research Internal Report (Vol. 2). Helsinki
Simon, Meinhard; Azam, Farooq (1989): Protein content and protein synthesis rates of planktonic marine bacteria. Marine Ecology Progress Series, 51, 201-213, https://doi.org/10.3354/meps051201
Varela, Diana E; Brzezinski, Mark A; Beucher, Charlotte P; Jones, Janice L; Giesbrecht, Karina E; Lansard, Bruno; Mucci, Alfonso (2016): Heavy silicon isotopic composition of silicic acid and biogenic silica in Arctic waters over the Beaufort shelf and the Canada Basin. Global Biogeochemical Cycles, 30(6), 804-824, https://doi.org/10.1002/2015GB005277
Funding:
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven (AWI), grant/award no. AFMOSAiC-1_00: Multidisciplinary drifting Observatory for the Study of Arctic Climate
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven (AWI), grant/award no. AWI_PS122_00: Multidisciplinary drifting Observatory for the Study of Arctic Climate / MOSAiC
Swedish Polar Research Secretariat, grant/award no. 2019-153
Swedish Research Council (VR), grant/award no. 2018-00509_Formas: How warming of the Central Arctic Ocean changes the metabolic functions of sympagic and pelagic microbiomes, with emphasis on carbon and nitrogen cycling
Swedish Research Council (VR), grant/award no. 2018-04685_VR: Uncovering the seasonality of sympagic and pelagic microbiomes and their metabolic functions in the Central Arctic Ocean with emphasis on carbon and nitrogen cycling
The Research Council of Norway (RCN), grant/award no. 276730: The Nansen Legacy
The Research Council of Norway (RCN), grant/award no. 280292: Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean
The Research Council of Norway (RCN), grant/award no. 280531: Coordinated Arctic Acoustic Thermoetry Experiment
The Research Council of Norway (RCN), grant/award no. 328957: air-snow-ice-ocean INTERactions transforming Atlantic Arctic Climate (INTERAAC)
The Research Council of Norway (RCN), grant/award no. 332635: Centre for ice, Cryosphere, Carbon and Climate (iC3)
Coverage:
Median Latitude: 82.662347 * Median Longitude: 25.523248 * South-bound Latitude: 79.791291 * West-bound Longitude: -1.760877 * North-bound Latitude: 87.419937 * East-bound Longitude: 112.755364
Date/Time Start: 2020-01-10T00:00:00 * Date/Time End: 2020-07-24T00:00:00
Minimum Elevation: -4425.5 m * Maximum Elevation: -818.3 m
Event(s):
PS122/2_19-116 * Latitude: 87.181000 * Longitude: 112.740567 * Date/Time: 2020-01-10T11:34:00 * O2A Registry URI: https://registry.o2a-data.de/items/5065 * Location: Arctic Ocean * Campaign: PS122/2 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Ice corer (IC) * Comment: two ridge cores collected from the same site
PS122/2_21-124 * Latitude: 87.419799 * Longitude: 93.086554 * Date/Time: 2020-01-24T12:08:00 * Elevation: -4425.5 m * O2A Registry URI: https://registry.o2a-data.de/items/5065 * Location: Arctic Ocean * Campaign: PS122/2 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Ice corer (IC) * Comment: siro eco3: siro eco3 43m
PS122/3_37-32 * Latitude: 84.118383 * Longitude: 15.923756 * Date/Time: 2020-04-22T11:25:00 * O2A Registry URI: https://registry.o2a-data.de/items/5065 * Location: Arctic Ocean * Campaign: PS122/3 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Ice corer (IC) * Comment: CH4: BGC2; ISO: BGC2; ECO1: rmrf: eco1; SALO18: rmrf:salo18
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Event labelEventMüller, Oliver
2Cruise/expeditionExpeditionMüller, Oliver
3Activity descriptionActivityMüller, OliverMOSAiC week
4DATE/TIMEDate/TimeMüller, OliverGeocode
5LATITUDELatitudeMüller, OliverGeocode
6LONGITUDELongitudeMüller, OliverGeocode
7Device typeDeviceMüller, Oliver
8EnvironmentEnvironmentMüller, Oliverbiome
9EnvironmentEnvironmentMüller, Oliverfeature
10EnvironmentEnvironmentMüller, Olivermaterial
11Sample commentSample commentMüller, Oliver
12Sample code/labelSample labelMüller, Oliver
13Sample IDSample IDMüller, Oliver
14Core section labelSec labelMüller, Oliver
15Distance descriptionDist descrMüller, Oliverfrom ice surface in cm (approximate)
16DEPTH, ice/snowDepth ice/snowmMüller, OliverGeocode – Depth bottom of sampled ice layer
17DEPTH, waterDepth watermMüller, OliverGeocode – seawater
18Temperature, ice/snowt°CMüller, OliverDigital thermometer, Testo, 720
19SalinitySalMüller, OliverYSI 30 salinty/conductivity/temperature meter
20Volume, brineVol brine%Müller, Oliverafter Cox & Weeks (1983)
21Chlorophyll aChl aµg/lMüller, OliverFluorometer, Turner Designs, 10-AU; According to Knap et al. (1996)
22Chlorophyll a, standard deviationChl a std dev±Müller, OliverFluorometer, Turner Designs, 10-AU; According to Knap et al. (1996)
23PheophytinPhytinµg/lMüller, OliverFluorometer, Turner Designs, 10-AU; According to Knap et al. (1996)
24Pheophytin, standard deviationPhytin std dev±Müller, OliverFluorometer, Turner Designs, 10-AU; According to Knap et al. (1996)
25Bacterial production as carbonBP Cµg/l/dayMüller, OliverLiquid scintillation counter (Tri-Carb 2800TR, Perkin-Elmer)
26Bacterial production as carbon, standard deviationBP C±Müller, OliverLiquid scintillation counter (Tri-Carb 2800TR, Perkin-Elmer)
27Nitrate and Nitrite[NO3]- + [NO2]-µmol/lTorres-Valdés, SinhuéContinuous flow analyser, Seal, AA3
28Silicic acidSi(OH)4µmol/lTorres-Valdés, SinhuéContinuous flow analyser, Seal, AA3
29Phosphate[PO4]3-µmol/lTorres-Valdés, SinhuéContinuous flow analyser, Seal, AA3
30Ammonium[NH4]+µmol/lTorres-Valdés, SinhuéContinuous flow analyser, Seal, AA3
31Biogenic silicabSiO2nmol/lKrause, Jeffrey Wafter Varela et al. (2016)
32Biogenic silica, standard deviationbSiO2 std dev±Krause, Jeffrey Wafter Varela et al. (2016)
33Lithogenic silicaLSinmol/lKrause, Jeffrey Wafter Varela et al. (2016)
34Oxygen, particulateO partµmol/lTsagaraki, Tatiana MWavelength dispersive X-Ray fluorescence spectrometer (WDXRF), Bruker, AXE S4 pioneer
35Silicon, particulateSi partµmol/lTsagaraki, Tatiana MWavelength dispersive X-Ray fluorescence spectrometer (WDXRF), Bruker, AXE S4 pioneer
36Sodium, particulateNa partµmol/lTsagaraki, Tatiana MWavelength dispersive X-Ray fluorescence spectrometer (WDXRF), Bruker, AXE S4 pioneer
37Magnesium, particulateMg partµmol/lTsagaraki, Tatiana MWavelength dispersive X-Ray fluorescence spectrometer (WDXRF), Bruker, AXE S4 pioneer
38Chlorine, particulateCl partµmol/lTsagaraki, Tatiana MWavelength dispersive X-Ray fluorescence spectrometer (WDXRF), Bruker, AXE S4 pioneer
39Potassium, particulateK partµmol/lTsagaraki, Tatiana MWavelength dispersive X-Ray fluorescence spectrometer (WDXRF), Bruker, AXE S4 pioneer
40Phosphorus, particulatePPµmol/lTsagaraki, Tatiana MWavelength dispersive X-Ray fluorescence spectrometer (WDXRF), Bruker, AXE S4 pioneer
41Sulfur, particulateS partµmol/lTsagaraki, Tatiana MWavelength dispersive X-Ray fluorescence spectrometer (WDXRF), Bruker, AXE S4 pioneer
42Manganese, particulateMn partµmol/lTsagaraki, Tatiana MWavelength dispersive X-Ray fluorescence spectrometer (WDXRF), Bruker, AXE S4 pioneer
43Calcium, particulateCa partµmol/lTsagaraki, Tatiana MWavelength dispersive X-Ray fluorescence spectrometer (WDXRF), Bruker, AXE S4 pioneer
44Iron, particulateFe partµmol/lTsagaraki, Tatiana MWavelength dispersive X-Ray fluorescence spectrometer (WDXRF), Bruker, AXE S4 pioneer
45Carbon, organic, particulatePOCµg/lLebreton, Benoitµg C L-1
46Carbon, organic, particulate, standard deviationPOC std dev±Lebreton, Benoit
47Nitrogen, organic, particulatePONµg/lLebreton, Benoitµg N L-1
48Nitrogen, organic, particulate, standard deviationPON std dev±Lebreton, Benoit
49CiliatesCiliates#/lWiktor, Jozef MLight microscopy (Utermöhl 1958)
50DiatomsDiatoms#/lWiktor, Jozef MLight microscopy (Utermöhl 1958)
51DinoflagellatesDinofl#/lWiktor, Jozef MLight microscopy (Utermöhl 1958)
52Cells, other, indeterminataOth indet#/lWiktor, Jozef MLight microscopy (Utermöhl 1958)
53Flagellates, otherFlag oth#/lWiktor, Jozef MLight microscopy (Utermöhl 1958)
54Red only fluorescing picophytoplanktonRedPico#/mlMüller, OliverFlow cytometry
55Red only fluorescing nanophytoplankton, smallRedNano small#/mlMüller, OliverFlow cytometry
56Red only fluorescing nanophytoplankton, largeRedNano large#/mlMüller, OliverFlow cytometry
57Orange and red fluorescing picophytoplanktonOraPico#/mlMüller, OliverFlow cytometry
58Red only fluorescing nanophytoplanktonRedNano#/mlMüller, OliverFlow cytometry
59Orange fluorescing prokaryote picophytoplanktonOraPicoProk#/mlMüller, OliverFlow cytometry
60Orange and red fluorescing nanophytoplanktonOraNano#/mlMüller, OliverFlow cytometry
61Heterotrophic nanophytoplanktonHetNano#/mlMüller, OliverFlow cytometry
62Heterotrophic prokaryotesHetProk#/mlMüller, OliverFlow cytometry
63Heterotrophic prokaryotes with relatively low nucleic acidHetLNA#/mlMüller, OliverFlow cytometry
64Heterotrophic prokaryotes, mediumHetProk medium#/mlMüller, OliverFlow cytometry
65Heterotrophic prokaryotes, largeHetProk large#/mlMüller, OliverFlow cytometry
66Heterotrophic prokaryotes with relatively high nucleic acidHetHNA#/mlMüller, OliverFlow cytometry
67Heterotrophic prokaryotes, very largeHetProk very large#/mlMüller, OliverFlow cytometry
68Sample code/labelSample labelMüller, Oliver16S rRNA gene unique sample name ENA (Sample Alias)
69Accession numberAccess NoMüller, Oliver16S rRNA gene ENA sample accession
70Sample code/labelSample labelMüller, Oliver18S rRNA gene unique sample name ENA (Sample Alias)
71Accession numberAccess NoMüller, Oliver18S rRNA gene ENA sample accession
72Sample code/labelSample labelMock, ThomasMetagenome-sample name
73Accession numberAccess NoMock, ThomasMetagenome ENA sample accession
74ProjectProjectMock, ThomasJGI Project ID (metagenome)
75Accession number, geneticsAccess no genMock, ThomasSRA Accession (metagenome)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
2932 data points

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