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Graeve, Martin; Leu, Eva; Fahl, Kirsten; Campbell, Karley; Brown, Thomas A; Welteke, Nahid; Adrian-Schütte, Valeria (2025): Highly branched isoprenoids and main sterols of sea ice algal communities in Hudson Bay (Southampton Island) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.986992, In: Graeve, M et al. (2025): Characterisation of sea ice algal communities in the Hudson Bay (Southampton Island) [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.986997

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Published: 2025-11-18DOI registered: 2025-12-17

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Abstract:
A spring bloom of algae in or underneath sea ice provides a concentrated food source for aquatic grazers and contributes significantly to marine primary production in many regions of the Arctic. Various types of trophic markers are commonly used to analyze food web structure, based on numerous assumptions about how sea ice algae differ biochemically from phytoplankton. Changes associated with polar amplification of global warming have the potential to affect the phenology, taxonomic composition, productivity, and nutritional value of sea ice algal blooms, which are usually dominated by diatom species. Such changes are likely to have far-reaching effects on trophic interactions and carbon cycling in the ocean. The production of lipids and stable isotope biomarkers by marine algae can vary significantly depending on environmental factors such as snow depth, ice thickness, nutrient availability, and water depth. For example, concentrations of polyunsaturated fatty acids (PUFAs) in ice algae decreased with decreasing nutrient concentrations, and 16:0/16:1 (n-7) fatty acids were highly enriched in 13C in our 2019 study in northwestern Hudson Bay, Southampton Island (possibly as a result of DIC limitation). Data on stable isotope values of fatty acids in ice algae are particularly scarce, so we provide an important information base for future Bayesian isotope mixing models.
Keyword(s):
bulk and compound-specific isotope analysis; HBI; ice cores; IP25; lipid biomarker; trophic markers
Related to:
Leu, Eva; et al. (submitted): Stage of bloom succession drives trophic marker variability in sea ice algal communities in Hudson Bay.
Funding:
Bundesministerium für Bildung und Forschung, Bonn (BMBF), grant/award no. 03F0810A: Changing Arctic Ocean/Diatom-ARCTIC
Norwegian Polar Institute, grant/award no. 325405: Bottom-sea ice Respiration and nutrient Exchanges Assessed for THE Arctic (BREATHE)
Coverage:
Median Latitude: 63.607281 * Median Longitude: -83.255866 * South-bound Latitude: 63.053130 * West-bound Longitude: -83.342280 * North-bound Latitude: 63.994250 * East-bound Longitude: -83.077170
Date/Time Start: 2019-05-04T00:00:00 * Date/Time End: 2019-06-01T00:00:00
Minimum DEPTH, ice/snow: 0.05 m * Maximum DEPTH, ice/snow: 0.05 m
Event(s):
1-CH1C-core-6,9,11-040519  * Latitude: 63.993650 * Longitude: -83.337550 * Date/Time: 2019-05-04T00:00:00 * Elevation: -35.0 m * Campaign: CHOOSE (Coral Harbour Oceanographic Observation and Sea ice Experiments) * Basis: Sampling/drilling ice * Method/Device: Ice corer (IC)
2-CH1F-core-2-040519  * Latitude: 63.910570 * Longitude: -83.307220 * Date/Time: 2019-05-04T00:00:00 * Elevation: -40.0 m * Campaign: CHOOSE (Coral Harbour Oceanographic Observation and Sea ice Experiments) * Basis: Sampling/drilling ice * Method/Device: Ice corer (IC)
3-CH2A-core-2,3-070519  * Latitude: 63.146350 * Longitude: -83.225580 * Date/Time: 2019-05-07T00:00:00 * Elevation: -9.0 m * Campaign: CHOOSE (Coral Harbour Oceanographic Observation and Sea ice Experiments) * Basis: Sampling/drilling ice * Method/Device: Ice corer (IC)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Sample IDSample IDGraeve, Martin
DATE/TIMEDate/TimeGraeve, MartinGeocode
SiteSiteGraeve, Martin
CycleCyGraeve, Martin
Event labelEventGraeve, Martin
LATITUDELatitudeGraeve, MartinGeocode
LONGITUDELongitudeGraeve, MartinGeocode
Depth, bathymetricBathy depthmGraeve, Martin
Depth, top/minDepth topmGraeve, Martincore section
10 Depth, bottom/maxDepth botmGraeve, Martincore section
11 DEPTH, ice/snowDepth ice/snowmGraeve, MartinGeocode
12 Sea ice thicknessEsEsmGraeve, Martin
13 Snow thicknessSnow thickmGraeve, Martin
14 Water volume, filteredVol filteredmlGraeve, Martin
15 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecaneIP25ng/mlGraeve, MartinGas chromatograph, Shimadzu, GC-2010; QP2020 quadrupole (EI) MS
16 2,10,14-Trimethyl-6-enyl-7-(3-methylpent-1-enyl)pentadeceneC25 HBI dieneng/mlGraeve, MartinGas chromatograph, Shimadzu, GC-2010; QP2020 quadrupole (EI) MS
17 (9Z)-2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyliden)pentadeca-9-eneC25 HBI (Z) trieneng/mlGraeve, MartinGas chromatograph, Shimadzu, GC-2010; QP2020 quadrupole (EI) MS
18 (9E)-2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyliden)pentadeca-9-eneC25 HBI (E) trieneng/mlGraeve, MartinGas chromatograph, Shimadzu, GC-2010; QP2020 quadrupole (EI) MS
19 24-Methylcholesta-5,22E-dien-3beta-olBrassicasterolng/mlGraeve, MartinGas chromatograph, Shimadzu, GC-2010; QP2020 quadrupole (EI) MS
20 24-methylcholest-5-en-3beta-olCampesterolng/mlGraeve, MartinGas chromatograph, Shimadzu, GC-2010; QP2020 quadrupole (EI) MS
21 SitosterolSitosterolng/mlGraeve, MartinGas chromatograph, Shimadzu, GC-2010; QP2020 quadrupole (EI) MS
22 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-olDinosterolng/mlGraeve, MartinGas chromatograph, Shimadzu, GC-2010; QP2020 quadrupole (EI) MS
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
629 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Sample ID

Date/Time

Site

Cy

Event

Latitude

Longitude

Bathy depth [m]

Depth top [m]
10 
Depth bot [m]
11 
Depth ice/snow [m]
12 
EsEs [m]
13 
Snow thick [m]
14 
Vol filtered [ml]
15 
IP25 [ng/ml]
16 
C25 HBI diene [ng/ml]
17 
C25 HBI (Z) triene [ng/ml]
18 
C25 HBI (E) triene [ng/ml]
19 
Brassicasterol [ng/ml]
20 
Campesterol [ng/ml]
21 
Sitosterol [ng/ml]
22 
Dinosterol [ng/ml]
1-CH1C-lipid-0505192019-05-04C11-CH1C-core-6,9,11-040519 63.99365-83.337553500.10.051.560.11100.360.130.122.847.640.2018.190.00
2-CH1F-lipid-0505192019-05-04F12-CH1F-core-2-040519 63.91057-83.307224000.10.051.450.051000.040.030.010.270.660.022.340.00
3-CH2A-lipid-0705192019-05-07A23-CH2A-core-2,3-070519 63.14635-83.22558900.10.051.640.24750.040.010.000.020.000.000.950.00
6-CH2C-lipid-0705192019-05-06C26-CH2C-core-6,7-060519 63.99372-83.338583500.10.051.590.10500.000.010.000.000.650.002.550.00
7-CH2D-lipid-0705192019-05-06D27-CH2D-core-2,3-060519 63.95173-83.319423500.10.051.660.10750.000.000.000.000.680.002.850.00
10-CH3A-lipid-1005192019-05-09A310-CH3A-core-2,3-090519 63.11488-83.07942900.10.051.540.211000.090.030.000.030.560.110.470.00
11-CH3B-lipid-1005192019-05-09B311-CH3B-core-1,3-090519 63.08868-83.342282000.10.051.670.143000.060.050.010.030.671.072.130.12
12-CH3C-lipid-1005192019-05-09C312-CH3C-core-10,11-090519 63.99365-83.338453500.10.051.540.171000.040.030.010.200.600.091.000.00
16-CH4B-lipid-1405192019-05-13B416-CH4B-core-1,2-130519 63.05342-83.205032000.10.051.660.26750.030.010.010.021.000.170.670.00
17-CH4C-lipid-1405192019-05-13C417-CH4C-core-9,10-130519 63.99350-83.338473500.10.051.610.16400.020.000.020.140.790.001.130.00
18-CH4D-lipid-1405192019-05-13D418-CH4D-core-1,2-130519 63.95198-83.318973500.10.051.510.17750.030.030.010.110.740.061.100.00
20-CH5A-lipid-1705192019-05-16A520-CH5A-core-3,4-160519 63.11462-83.07717900.10.051.640.18750.130.050.000.040.390.000.370.00
21-CH5B-lipid-1705192019-05-16B521-CH5B-core-1,2-160519 63.05342-83.203982000.10.051.650.251500.020.010.000.030.220.000.140.00
22-CH5C-lipid-1705192019-05-16C522-CH5C-core-5,6-160519 63.99418-83.338633500.10.051.560.24600.000.000.000.090.070.000.350.00
23-CH5D-lipid-1705192019-05-16D523-CH5D-core-1,2-160519 63.95198-83.318233500.10.051.430.171100.020.030.000.020.390.001.130.00
24-CH5F-lipid-1705192019-05-16F524-CH5F-core-3,4-160519 63.91018-83.306834000.10.051.380.202500.020.030.000.010.040.000.350.00
25-CH6A-lipid-2005192019-05-19A625-CH6A-core-3,4-190519 63.11455-83.07935900.10.051.580.181500.120.040.010.050.420.090.410.03
28-CH6D-lipid-2005192019-05-19D628-CH6D-core-1,2-190519 63.95192-83.318153500.10.052.150.134000.000.000.000.010.000.010.030.00
30-CH7A-lipid-2405192019-05-23A730-CH7A-core-3,4-230519 63.11463-83.07883900.10.051.500.302000.080.050.010.060.290.050.190.00
31-CH7B-lipid-2405192019-05-23B731-CH7B-core-1,2-230519 63.05330-83.203972000.10.051.620.172400.030.030.000.010.150.030.120.00
32-CH7C-lipid-2405192019-05-23C732-CH7C-core-9,10-230519 63.99395-83.337073500.10.051.490.231500.020.030.000.020.350.020.510.01
33-CH7D-lipid-2405192019-05-23D733-CH7D-core-1,2-230519 63.95215-83.318003500.10.051.510.22600.020.030.000.010.550.042.310.00
34-CH7F-lipid-2405192019-05-23F734-CH7F-core-3,4-230519 63.91008-83.306454000.10.051.390.213600.020.060.000.000.060.010.630.00
35-CH8A-lipid-2705192019-05-26A835-CH8A-core-3,4-260519 63.11385-83.07933900.10.051.610.16900.140.100.010.060.990.181.650.00
36-CH8B-lipid-2705192019-05-26B836-CH8B-core-1,2-260519 63.05332-83.213172000.10.051.570.193600.000.000.000.000.210.040.210.00
37-CH8C-lipid-2705192019-05-26C837-CH8C-core-5,6-260519 63.99425-83.337723500.10.051.500.19800.020.020.010.070.070.020.570.00
38-CH8D-lipid-2705192019-05-26D838-CH8D-core-1,2-260519 63.95203-83.316083500.10.051.550.155000.020.030.000.000.040.000.440.00
39-CH8F-lipid-2705192019-05-26F839-CH8F-core-3,4-260519 63.91058-83.305954000.10.051.310.165000.010.010.000.000.010.000.100.00
40-CH9A-lipid-3005192019-05-29A940-CH9A-core-3,4-290519 63.11408-83.07838900.10.051.640.181000.060.050.010.070.240.000.360.00
41-CH9B-lipid-3005192019-05-29B941-CH9B-core-1,2-290519 63.05313-83.202852000.10.051.570.201000.040.020.000.010.440.020.310.00
42-CH9C-lipid-3005192019-05-29C942-CH9C-core-6,7-290519 63.99372-83.336633500.10.051.590.204000.000.000.000.000.020.000.380.00
43-CH9D-lipid-3005192019-05-29D943-CH9D-core-1,2-290519 63.95237-83.316783500.10.051.450.191200.060.100.010.050.400.000.210.00
44-CH9F-lipid-3005192019-05-29F944-CH9F-core-3,4-290519 63.91055-83.305254000.10.051.280.165000.010.010.000.000.000.000.000.00
45-CH10A-lipid-0206192019-06-01A1045-CH10A-core-3,4-010619 63.11377-83.08017900.10.051.570.141000.040.020.000.010.170.050.510.00
46-CH10B-lipid-0206192019-06-01B1046-CH10B-core-1,2-010619 63.05365-83.204982000.10.051.460.104000.010.020.000.000.110.020.100.00
47-CH10C-lipid-0206192019-06-01C1047-CH10C-core-9,10-010619 63.99410-83.336303500.10.051.470.132000.010.020.000.000.060.010.170.00
48-CH10D-lipid-0206192019-06-01D1048-CH10D-core-1,2-010619 63.95292-83.315833500.10.051.370.13400.070.070.000.010.320.010.790.00