Automated Author Profile

Assmy, Philipp

Current S-Index

5,324.2

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

21.3

Average Dataset Index per dataset

Total Datasets

250

Total datasets for this author

Average FAIR Score

38.5%

Average FAIR Score per dataset

Total Citations

8,160

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Environmental data and microorganism composition from the HAVOC sea ice ridge study during the MOSAiC expedition (PS122) in the Central Arctic Ocean 2019-2020

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

Authors

  • Müller, Oliver ;
  • Gardner, Jessie ;
  • Olsen, Lasse Mørk ;
  • Salganik, Evgenii ;
  • Assmy, Philipp ;
  • Gradinger, Rolf ;
  • Bratbak, Gunnar ;
  • Hoppe, Clara Jule Marie ;
  • Lange, Benjamin Allen ;
  • Muilwijk, Morven ;
  • Divine, Dmitry V ;
  • Aberle, Nicole ;
  • Krause, Jeffrey W ;
  • Reigstad, Marit ;
  • Leu, Eva ;
  • Tsagaraki, Tatiana M ;
  • Larsen, Aud ;
  • Høyland, Knut Vilhelm ;
  • Balmonte, John Paul ;
  • Petelenz, Elzbieta ;
  • Langvad, Maria ;
  • Heitman, Laura ;
  • Torstensson, Anders ;
  • Fong, Allison A ;
  • Mock, Thomas ;
  • Boulton, William ;
  • Wiktor, Jozef M ;
  • Tatarek, Agnieszka ;
  • Torres-Valdés, Sinhué ;
  • Lebreton, Benoit ;
  • Guillou, Gaël ;
  • Granskog, Mats A
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.1594/pangaea.983955January 2025

Concentrations of exported organic matter during research project N-ICE2015 north of Svalbard

Vertical export fluxes of particulate organic carbon (POC) and nitrogen (PON), chlorophyll a and phaeopigments from sediment trap sampling in the Artic Ocean north of Svalbard, the Nansen Basin and Yermak Plateau, during the N-ICE2015 research project (led by the Norwegian Polar Institute). The dataset includes 8 deployments of short-term cylindrical sediment traps (KC Denmark AS) in the time period between 30.01.2015 until 16.06.2015. Samples were used to study the drivers of the biological carbon pump in the region north of Svalbard (Dybwad et al. 2021: doi10.3389/fmars.2020.525800).

Authors

  • Dybwad, Christine ;
  • Assmy, Philipp
0 Citations0 Mentions96% FAIR1.0 Dataset Index
10.1594/pangaea.964799January 2024

Protist (including algae) abundance and biodiversity data collected with short-term sediment traps deployed below level and ridged ice during MOSAiC legs 2 to 4 in 2019/2020

The data has been collected during the year-long drift expedition "Multidisciplinary drifting Observatory for the Study of Arctic Climate" (MOSAiC) from September 2019 to September 2020 on research vessel Polarstern. The dataset contains abundance of pelagic marine and sea ice protists, including algae (autotrophic) and protzoa (heterotrophic). Protists were identified and counted with light microscopy using the Utermöhl method and the result are given as cells per liter (cells/L) called Abundance. The samples were collected with short-term sediment traps deployed at 3-4 depths (1, 5, 15 and 50 m) below level ice and near sea-ice ridges. The samples were preserved with a few drops of Lugol and hexamethylenetetramine-buffered formalin at a final concentrations of 1%.

Authors

  • Assmy, Philipp ;
  • Wiktor, Jozef M ;
  • Gardner, Jessie ;
  • Dąbrowska, Anna Maria ;
  • Tatarek, Agnieszka ;
  • Olsen, Lasse Mørk ;
  • Rozanska, Magdalena ;
  • Müller, Oliver ;
  • Divine, Dmitry V ;
  • Salganik, Evgenii ;
  • Lange, Benjamin Allen ;
  • Gradinger, Rolf ;
  • Granskog, Mats A
0 Citations0 Mentions92% FAIR2.0 Dataset Index
10.1594/pangaea.957641January 2023

Pelagic protist (including phytoplankton) abundance and biodiversity data collected from the water column and water filled voids inside ridges during MOSAiC legs 2 to 4 in 2019/2020

The data has been collected during the the year-long drift expedition "Multidisciplinary drifting Observatory for the Study of Arctic Climate" (MOSAiC) from September 2019 to September 2020 on research vessel Polarstern. The samples were collected with Niskin bottles attached to a CTD rosette, an Apstein net with 20 µm mesh size, a hand pump or a pump mounted on a ROV. The samples were preserved using a few drops of Lugol and hexamethylenetetramine-buffered formalin at a final concentration of 1%. The samples were collected with Niskin bottles attached to a CTD rosette at the following depths: 5, 10, 30, 60, 90 m and deep chlorophyll max (DCM). Protists were identified and counted with light microscopy using the Utermöhl method and the result are given as cells per liter (cells/L) called Abundance.

Authors

  • Assmy, Philipp ;
  • Wiktor, Jozef M ;
  • Dąbrowska, Anna Maria ;
  • Tatarek, Agnieszka ;
  • Rozanska, Magdalena ;
  • Olsen, Lasse Mørk ;
  • Gardner, Jessie ;
  • Müller, Oliver ;
  • Hoppe, Clara Jule Marie ;
  • Gradinger, Rolf ;
  • Granskog, Mats A
0 Citations0 Mentions96% FAIR2.4 Dataset Index
10.1594/pangaea.957640January 2023

Sea-ice protist (including ice algae) abundance and biodiversity data from ice coring at the main coring sites (MCS_FYI and MCS_SYI) and ridges during MOSAiC legs 2 to 4 in 2019/2020

The data has been collected during the expedition "Multidisciplinary drifting Observatory for the Study of Arctic Climate" (MOSAiC) from September 2019 to September 2020 on research vessel Polarstern. The dataset contains abundance of sea ice protists, including ice algae (autotrophic) and protozoa (heterotrophic). Protists were identified and counted with light microscopy using the Utermöhl method and the result are given as cells per liter (cells/L) called Abundance. Sea ice samples were collected with a 9 cm diameter ice corer (Kovacs Enterprise) from both level and ridge ice. The samples were collected from the bottom part of the ice core and generally sectioned from 0-3 cm, 3-10 cm and in 10 cm intervals thereafter. With some exceptions, ice core sections were melted in filtered sea water at 4°C. Melted samples were preserved using Lugol-formaldehyde mixture with a few drops of acidic Lugol solution and hexamethylenetetramine-buffered formalin at a final concentrations of 1%.

Authors

  • Assmy, Philipp ;
  • Wiktor, Jozef M ;
  • Dąbrowska, Anna Maria ;
  • Tatarek, Agnieszka ;
  • Rozanska, Magdalena ;
  • Olsen, Lasse Mørk ;
  • Gardner, Jessie ;
  • Hoppe, Clara Jule Marie ;
  • Müller, Oliver ;
  • Divine, Dmitry V ;
  • Salganik, Evgenii ;
  • Lange, Benjamin Allen ;
  • Gradinger, Rolf ;
  • Granskog, Mats A
0 Citations0 Mentions96% FAIR1.0 Dataset Index
10.1594/pangaea.957637January 2023

(Table 3) Number and mean caliper diameter of ikaite crystals sampled during R/V Lance cruise in April-May 2011

No description available

Authors

  • Nomura, Daiki ;
  • Assmy, Philipp ;
  • Nehrke, Gernot ;
  • Granskog, Mats A ;
  • Fischer, Michael ;
  • Dieckmann, Gerhard S ;
  • Fransson, Agneta ;
  • Hu, Yubin ;
  • Schnetger, Bernhard
0 Citations0 Mentions96% FAIR2.4 Dataset Index
10.1594/pangaea.848978January 2015

(SI Table 2) POC flux at 450 m of the three diatom species that contributed most to the flux during POLARSTERN cruise ANT-XXV/3 (LOHAFEX)

No description available

Authors

  • Ebersbach, Friederike ;
  • Assmy, Philipp ;
  • Martin, Patrick ;
  • Schulz, Isabelle ;
  • Wolzenburg, Sina ;
  • Nöthig, Eva-Maria
0 Citations0 Mentions96% FAIR2.1 Dataset Index
10.1594/pangaea.833634January 2014

(SI Table 3) POC flux of tintinnid ciliates in PELAGRA traps during POLARSTERN cruise ANT-XXV/3 (LOHAFEX)

No description available

Authors

  • Ebersbach, Friederike ;
  • Assmy, Philipp ;
  • Martin, Patrick ;
  • Schulz, Isabelle ;
  • Wolzenburg, Sina ;
  • Nöthig, Eva-Maria
0 Citations0 Mentions92% FAIR2.3 Dataset Index
10.1594/pangaea.833637January 2014

(S 1) Particle types found in polyacrylamide gels during POLARSTERN cruise ANT-XXV/3 (LOHAFEX)

No description available

Authors

  • Ebersbach, Friederike ;
  • Assmy, Philipp ;
  • Martin, Patrick ;
  • Schulz, Isabelle ;
  • Wolzenburg, Sina ;
  • Nöthig, Eva-Maria
0 Citations0 Mentions100% FAIR2.5 Dataset Index
10.1594/pangaea.833639January 2014

(S 2) Image of entire polyacrylamide gel

No description available

Authors

  • Ebersbach, Friederike ;
  • Assmy, Philipp ;
  • Martin, Patrick ;
  • Schulz, Isabelle ;
  • Wolzenburg, Sina ;
  • Nöthig, Eva-Maria
0 Citations0 Mentions100% FAIR2.5 Dataset Index
10.1594/pangaea.833640January 2014