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  • 1
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    Determination of absolute coccolith abundances in deep-sea sediments by spiking with microbeads and spraying - SMS-method (Table 1)
    PANGAEA
    In:  Supplement to: Bollmann, Jörg; Brabec, Bernhard; Cortés, Mara Y; Geisen, Markus (1999): Determination of absolute coccolith abundances in deep-sea sediments by spiking with microbeads and spraying (SMS-method). Marine Micropaleontology, 38(1), 29-38, https://doi.org/10.1016/S0377-8398(99)00032-8
    Details
    Publication Date: 2023-06-27
    Description: A quick new method is described for the quantification of absolute nannofossil proportions in deep-sea sediments. This method (SMS) is the combination of Spiking a sample with Microbeads and Spraying it on a cover slide. It is suitable for scanning electron microscope (SEM) analyses and for light microscope (LM) analyses. Repeated preparation and counting of the same sample (30 times) revealed a standard deviation of 10.5%. The application of tracer microbeads with different diameters and densities revealed no statistically significant differences between counts. The SMS-method yielded coccolith numbers that are statistically not significantly different from values obtained from the filtration-method. However, coccolith counts obtained by the random settling method are three times higher than the values obtained by the SMS- and the filtration-method.
    Keywords: -; 94-607; Atlantic; Blagnac; Coccolithophoridae, other; Coccoliths; Coccoliths, total; Counting 〈38 µm fraction; Deep Sea Drilling Project; DRILL; Drilling/drill rig; DSDP; DSDP/ODP/IODP sample designation; Emiliania huxleyi; Error, relative; Event label; Florisphaera profunda; Gephyrocapsa spp.; Glomar Challenger; Leg94; Method comment; North Atlantic/FLANK; Sample code/label; Sample code/label 2; Sample comment; Sample mass; Total counts
    Type: Dataset
    Format: text/tab-separated-values, 510 data points
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    DATA PANGAEA
  • 2
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    (Appendix) Gephyrocapsa coccolith abundance and holocene paleotemperature assessment (2002)
    PANGAEA
    In:  Supplement to: Bollmann, Jörg; Henderiks, Jorijntje; Brabec, Bernhard (2002): Global calibration of Gephyrocapsa coccolith abundance in Holocene sediments for paleotemperature assessment. Paleoceanography, 17(3), 7-1-7-9, https://doi.org/10.1029/2001PA000742
    Details
    Publication Date: 2024-02-29
    Description: A global sea surface temperature calibration based on the relative abundance of different morphotypes within the coccolithophore genus Gephyrocapsa in Holocene deep-sea sediments is presented. There is evidence suggesting that absolute sea surface temperature for a given location can be calculated from the relative abundance of Gephyrocapsa morphotypes in sediment samples, with a standard error comparable to temperature estimates derived from other temperature proxies such as planktic foraminifera transfer functions. A total of 110 Holocene sediment samples were selected from the Pacific, Indian, and Atlantic Oceans covering a mean sea surface temperature gradient from 13.6° to 29.3°C. Standard multiple linear regression analyses were applied to this data set, linking the relative abundance of Gephyrocapsa morphotypes to sea surface temperature. The best model revealed an r**2 of 0.83 with a standard residual error of 1.78°C for the estimation of mean sea surface temperature. This new proxy provides a unique opportunity for the reconstruction of paleotemperatures with a very small amount of sample material due to the minute size of coccoliths, permitting examination of thinly laminated sediments (e.g., a pinhead of material from laminated sediments for the reconstruction of annual sea surface temperature variations). Such fine-scale resolution is currently not possible with any other proxy. Application of this new paleotemperature proxy may allow new paleoenvironmental interpretations in the late Quaternary period and discrepancies between the different currently used paleotemperature proxies might be resolved.
    Keywords: 06MT41_3; 182-1127B; A150/180; A152-84; Agadir Canyon; Angola Basin; BATS; BATS_SedTrap_10013; BC; BCR; Bermuda Atlantic Time-Series Study; Box corer; Box corer (Reineck); Brazil Basin; CALYPSO; Calypso Corer; Canary Islands; Chlorophyll a; Danuta; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DRILL; Drilling/drill rig; East Atlantic; Eastern Equatorial Pacific; Elevation of event; ELT21; ELT21.011-TC; ELT48; ELT48.027A-TC; ELT48.031A-TC; ELT48.036-PC; Eltanin; ERDC; ERDC-083BX; ERDC-092BX; ERDC-129BX; Estimated; Event label; extracted from the World Ocean Atlas 1998 (Levitus et al., 1998); FGGE-Equator 79 - First GARP Global Experiment; FH13; GC; GeoB1048-3; GeoB4205-1; GeoB4207-1; GeoB4216-2; GeoB4223-1; GeoB4228-1; GeoB4234-1; GeoB4237-1; GeoB4242-4; GeoB4301-1; GeoB5142-2; GeoB5559-2; Gephyrocapsa spp.; Giant box corer; GIK12309-2; GIK12310-4; GIK12329-4; GIK12337-4; GIK12345-4; GIK12347-1; GIK12392-1; GIK13519-2; GIK15612-2; GIK15627-3; GIK15637-1; GIK15669-4; GIK16869-1; GKG; Gravity corer; Gravity corer (Kiel type); Great Australian Bight; GS7805-15; Indian Ocean; INMD; INMD-048BX; INMD-065BX; INMD-072BX; INMD-074BX; INMD-104BX; INMD-110BX; INMD-115BX; INMD-127BX; Joides Resolution; KAL; Kasten corer; KC26_1362; KL_Mk; KOL; Latitude of event; Leg182; Longitude of event; M12392-1; M25; M37/1; M38/1; M41/3; M42/4b; M51; M53; M53_169-2; M57; M6/5; M6/6; M69; M69-196; Marion Dufresne (1972); MC608; MC611; MD00; MD73006; MD73011; MD73022; MD75055; MD81346; MD85682; Melville; Meteor (1964); Meteor (1986); MUC; MultiCorer; Multiple; N3KF21; NOAMP III; North Atlantic; Northeast Atlantic; off Gabun; off West Africa; Okada6; OSIRIS I; PC; Piston corer; Piston corer (Kiel type); Piston corer Meischner small; PLDS-070BX; PLDS-3; Pleiades; PR44-1179; RC08; RC08-91; RC08-94; RC09; RC09-104; RC09-124; RC09-126; RC09-129; RC09-77; RC10; RC10-161; RC11; RC11-10; RC1112; RC11-12; RC11-124; RC11-126; RC11-128; RC11-22; RC11-230; RC12; RC12-210; RC12-266; RC12-292; RC12-340TW; RC13; RC13-17; RC13-38; Robert Conrad; Sample comment; Sea surface temperature; Sea surface temperature, annual mean; Sea surface temperature, autumn; Sea surface temperature, spring; Sea surface temperature, summer; Sea surface temperature, winter; Sierra Leone Rise; SL; South Atlantic Ocean; South Pacific Ocean; T88-09B; T90-14P; TC; Thomas Washington; Trap, sediment, floating; TRAPSF; Trigger corer; Tyr-15; Tyr-2; Tyr-4; V10; V10-89; V15; V15-29; V16; V16-205; V19; V19-163; V19-240; V19-282; V19-41; V19-55; V20; V20-103; V20-171; V20-176; V20-228; V23; V23-101; V23-98; V26; V26-124; V26-46; V26-68; V27; V27-137; V27-144; V27-215; V28; V28-239; V29; V29-135; V29-49; V29-64; Vema; VM188-193
    Type: Dataset
    Format: text/tab-separated-values, 2573 data points
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    DATA PANGAEA
  • 3
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    Global calibration ofGephyrocapsacoccolith abundance in Holocene sediments for paleotemperature assessment (2002)
    American Geophysical Union
    Details
    Publication Date: 2002-08-14
    Print ISSN: 2572-4517
    Electronic ISSN: 2572-4525
    Topics: Geosciences
    Published by American Geophysical Union
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  • 4
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    Techniques for quantitative analyses of calcareous marine phytoplankton (2002)
    Elsevier
    Details
    Publication Date: 2002-04-01
    Print ISSN: 0377-8398
    Electronic ISSN: 1872-6186
    Topics: Geosciences
    Published by Elsevier
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  • 5
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    Determination of absolute coccolith abundances in deep-sea sediments by spiking with microbeads and spraying (SMS-method) (1999)
    Elsevier
    Details
    Publication Date: 1999-11-01
    Print ISSN: 0377-8398
    Electronic ISSN: 1872-6186
    Topics: Geosciences
    Published by Elsevier
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  • 6
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    A nearest-neighbor model for regional avalanche forecasting (2001)
    Cambridge University Press
    Details
    Publication Date: 2001-01-01
    Description: The application of nearest-neighbor algorithms to the task of regional avalanche forecasting in Switzerland is presented in this paper. The database used for the development of the model consists of snow and weather data from 60 manual weather stations and conventionally estimated avalanche-hazard levels. All these data are collected by the Swiss Federal Institute for Snow and Avalanche Research on a daily basis during winter. Data between 1987 and 1996 (10 winters) are used for our study. For the manual weather stations a nearest-neighbor model has been developed: NXD-VG calculates the 10 nearest-neighbor days by using a Euclidean weighted distance metric. A regional avalanche-hazard map is calculated by interpolating the results of NXD-VG between the stations. The avalanche forecasters can access the results of the model calculation directly because they are integrated into a program for bulletin construction. The model was validated using three complementary approaches. First, the database is cross-validated for all the winters available to estimate an unbiased prediction error of the models for two selected stations. Second, selected situations of the database are recalculated. Third, the model output is compared daily to the official forecasts published during winter 1999/2000.
    Print ISSN: 0260-3055
    Electronic ISSN: 1727-5644
    Topics: Geography , Geosciences
    Published by Cambridge University Press on behalf of International Glaciological Society.
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