Data Description

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Müller, J et al. (2011): Organic marker compounds in surface sediments from the Nordic Seas. doi:10.1594/PANGAEA.759566,
Supplement to: Müller, Juliane; Wagner, Axel; Fahl, Kirsten; Stein, Ruediger; Prange, Matthias; Lohmann, Gerrit (2011): Towards quantitative sea ice reconstructions in the northern North Atlantic: A combined biomarker and numerical modelling approach. Earth and Planetary Science Letters, 306, 137-148, doi:10.1016/j.epsl.2011.04.011
Organic geochemical analyses of marine surface sediments from the continental margins of East Greenland and West Spitsbergen provide for a biomarker-based estimate of recent sea ice conditions in the northern North Atlantic. By means of the sea ice proxy IP25 and phytoplankton derived biomarkers (e.g. brassicasterol, dinosterol) we reconstruct sea ice and sea surface conditions, respectively. The combination of IP25 with a phytoplankton marker (in terms of a phytoplankton marker-IP25 index; PIP25) proves highly valuable to properly interpret the sea ice proxy signal as an under- or overestimation of sea ice coverage can be circumvented. A comparison of this biomarker-based assessment of the sea ice distribution in the study area with (1) modern remote sensing data and (2) numerical modelling results reveals a good agreement between organic geochemical, satellite and modelling observations. The reasonable simulation of modern sea ice conditions by means of a regional ocean-sea ice model demonstrates the feasibility to effectively integrate the complex atmospheric and oceanic circulation features as they prevail in the study area. The good correlation between modelled sea ice parameters and the biomarker-based estimate of sea ice coverage substantiates that linking proxy and model data occurs to be a promising concept in terms of a cross-evaluation. This combinatory approach may provide a first step towards quantitative sea ice reconstructions by means of IP25. Future IP25 studies on marine surface sediments from the Arctic realm, however, are recommended to extend and validate this new attempt of using IP25 in combination with a phytoplankton marker as a quantitative measure for sea ice reconstructions.
Median Latitude: 74.174122 * Median Longitude: -7.725987 * South-bound Latitude: 61.525800 * West-bound Longitude: -39.373800 * North-bound Latitude: 79.130000 * East-bound Longitude: 15.881667
Date/Time Start: 1994-09-03T22:51:00 * Date/Time End: 2003-08-30T05:49:00
Minimum DEPTH, sediment/rock: 0.0 m * Maximum DEPTH, sediment/rock: 0.0 m
PS2630-7 (PS31/138) * * Latitude: 73.160000 * Longitude: -18.068333 * Date/Time: 1994-09-03T22:51:00 * Elevation: -287.0 m * Location: East Greenland Sea * * Campaign: ARK-X/2 (PS31) * * Basis: Polarstern * * Device: Giant box corer (GKG) *
PS2642-2 (PS31/155) * * Latitude: 72.790000 * Longitude: -25.821667 * Date/Time: 1994-09-15T15:55:00 * Elevation: -759.0 m * Recovery: 0.49 m * Location: Kempe Fjord, East Greenland * * Campaign: ARK-X/2 (PS31) * * Basis: Polarstern * * Device: Giant box corer (GKG) *
PS2648-3 (PS31/172) * * Latitude: 70.525000 * Longitude: -22.510000 * Date/Time: 1994-09-27T07:33:00 * Elevation: -109.0 m * Recovery: 0.4 m * Location: Hurry Inlet, East Greenland * * Campaign: ARK-X/2 (PS31) * * Basis: Polarstern * * Device: Giant box corer (GKG) *
For further details on the total organic carbon data cited in the article we refer to the data set entries by Kierdorf (2006) doi:10.1594/PANGAEA.499864 and Birgel and Stein (2004) doi:10.1594/PANGAEA.191089. Dataset has been reformated after discussion with the PI.
#NameShort NameUnitPrincipal InvestigatorMethodComment
1Event label *Event
2Location of event *Location
3Latitude of event *Latitude
4Longitude of event *Longitude
5Elevation of event *Elevationm
6DEPTH, sediment/rock *Depthm
72,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane *IP25µg/gMüller, Juliane *Gas chromatography - Mass spectrometry (GC-MS) *
82,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane per unit mass total organic carbon *IP25/TOCµg/gMüller, Juliane *Gas chromatography - Mass spectrometry (GC-MS) *
924-Methylcholesta-5,22E-dien-3beta-ol *Brassicasterolµg/gMüller, Juliane *Gas chromatography - Mass spectrometry (GC-MS) *
1024-Methylcholesta-5,22E-dien-3beta-ol per unit mass total organic carbon *Brassicasterol/TOCµg/gMüller, Juliane *Gas chromatography - Mass spectrometry (GC-MS) *
114alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol *Dinosterolµg/gMüller, Juliane *Gas chromatography - Mass spectrometry (GC-MS) *
124alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol per unit mass total organic carbon *Dinosterol/TOCµg/gMüller, Juliane *Gas chromatography - Mass spectrometry (GC-MS) *
13n-Alkane C15 *C15ng/gMüller, Juliane *Gas chromatography - Mass spectrometry (GC-MS) *
14n-Alkane C15 per unit mass total organic carbon *C15/TOCng/gMüller, Juliane *Gas chromatography - Mass spectrometry (GC-MS) *
15n-Alkane C17 *C17ng/gMüller, Juliane *Gas chromatography - Mass spectrometry (GC-MS) *
16n-Alkane C17 per unit mass total organic carbon *C17/TOCng/gMüller, Juliane *Gas chromatography - Mass spectrometry (GC-MS) *
17n-Alkane C19 *C19ng/gMüller, Juliane *Gas chromatography - Mass spectrometry (GC-MS) *
18n-Alkane C19 per unit mass total organic carbon *C19/TOCng/gMüller, Juliane *Gas chromatography - Mass spectrometry (GC-MS) *
19Short-chain n-alkanes, C15H32+C17H36+C19H40 per unit sediment mass *C15+C17+C19/sedµg/gMüller, Juliane *Gas chromatography - Mass spectrometry (GC-MS) *
20Short-chain n-alkanes, C15H32+C17H36+C19H40 per unit total organic carbon *C15+C17+C19 TOCµg/gMüller, Juliane *Gas chromatography - Mass spectrometry (GC-MS) *
21Phytoplankton biomarker Brassicasterol IP25 index *PBIP25Müller, Juliane *Calculated, see reference(s) *PBIP25 = IP25/(IP25 + (B*0.0138))
22Phytoplankton biomarker Dinosterol IP25 index *PDIP25Müller, Juliane *Calculated, see reference(s) *PDIP25 = IP25/(IP25 + (D*0.0674))
23Phytoplankton biomarker short-chain n-alkanes IP25 index *PAlkIP25Müller, Juliane *Calculated, see reference(s) *PAlkIP25 = IP25/(IP25 + (Alk*0.0364))
748 data points

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