The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Gertjan Reichart - One of the best experts on this subject based on the ideXlab platform.
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a reappraisal of the vital effect in cultured benthic foraminifer bulimina marginata on mg ca values assessing Temperature uncertainty relationships
Biogeosciences, 2012Co-Authors: J C Wit, Christine Barras, Gertjan Reichart, L J De Nooijer, Frans J JorissenAbstract:Abstract. The reconstruction of past Temperatures is often achieved through measuring the Mg/Ca value of foraminiferal test carbonate. The diversity in foraminiferal Mg/Ca–Temperature Calibrations suggests that there is also a biological control on this proxy. This study presents a new Mg/Ca–Temperature Calibration for the benthic foraminifer Bulimina marginata, based on cultures under a range of Temperatures (4–14 °C). Measured Mg/Ca values for B. marginata correlate with Temperature (Mg/Ca = (1.10 ± 0.10) e(0.045±0.009)T, R2 = 0.28 p
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Temperature Calibration of mg ca ratios in the intermediate water benthic foraminifer hyalinea balthica
Geochemistry Geophysics Geosystems, 2011Co-Authors: Yair Rosenthal, Audrey Morley, Christine Barras, Miriam E Katz, Frans Jorissen, Gertjan Reichart, Delia W Oppo, Braddock K LinsleyAbstract:NSF Awards OCE 02‐20922 and 09‐02977 toYR, OCE 09‐28607 to MK, OCE02‐20776 to DWO, and DFGpriority program INTERDYNAMIK to AM. Indonesian Agency for Assessment and Application of Tech-nology (BPPT), the Center of Research and Development forOceanography (LIPI) for their help in organizing and fundingthis cruise
Hartmut Schulz - One of the best experts on this subject based on the ideXlab platform.
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global Temperature Calibration of the long chain diol index in marine surface sediments
Organic Geochemistry, 2020Co-Authors: Marijke W De Bar, Gabriella M Weiss, Caglar Yildiz, Sebastiaan W Rampen, Julie Lattaud, Nicole J Bale, Furu Mienis, Geertjan A Brummer, Hartmut SchulzAbstract:Abstract The Long chain Diol Index (LDI) is a relatively new organic geochemical proxy for sea surface Temperature (SST), based on the abundance of the C30 1,15-diol relative to the summed abundance of the C28 1,13-, C30 1,13- and C30 1,15-diols. Here we substantially extend and re-evaluate the initial core top Calibration by combining the original dataset with 172 data points derived from previously published studies and 262 newly generated data points. In total, we considered 595 globally distributed surface sediments with an enhanced geographical coverage compared to the original Calibration. The relationship with SST is similar to that of the original Calibration but with considerably increased scatter. The effects of freshwater input (e.g., river runoff) and long-chain diol contribution from Proboscia diatoms on the LDI were evaluated. Exclusion of core-tops deposited at a salinity https://doi.org/10.1016/j.gca.2012.01.024 ), although with a larger Calibration error of 3 °C. This larger Calibration error results from several regions where the LDI does not seem to have a strong Temperature dependence with annual mean SST, posing a limitation on the application of the LDI.
Geertjan A Brummer - One of the best experts on this subject based on the ideXlab platform.
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global Temperature Calibration of the long chain diol index in marine surface sediments
Organic Geochemistry, 2020Co-Authors: Marijke W De Bar, Gabriella M Weiss, Caglar Yildiz, Sebastiaan W Rampen, Julie Lattaud, Nicole J Bale, Furu Mienis, Geertjan A Brummer, Hartmut SchulzAbstract:Abstract The Long chain Diol Index (LDI) is a relatively new organic geochemical proxy for sea surface Temperature (SST), based on the abundance of the C30 1,15-diol relative to the summed abundance of the C28 1,13-, C30 1,13- and C30 1,15-diols. Here we substantially extend and re-evaluate the initial core top Calibration by combining the original dataset with 172 data points derived from previously published studies and 262 newly generated data points. In total, we considered 595 globally distributed surface sediments with an enhanced geographical coverage compared to the original Calibration. The relationship with SST is similar to that of the original Calibration but with considerably increased scatter. The effects of freshwater input (e.g., river runoff) and long-chain diol contribution from Proboscia diatoms on the LDI were evaluated. Exclusion of core-tops deposited at a salinity https://doi.org/10.1016/j.gca.2012.01.024 ), although with a larger Calibration error of 3 °C. This larger Calibration error results from several regions where the LDI does not seem to have a strong Temperature dependence with annual mean SST, posing a limitation on the application of the LDI.
Paul M. Parizel - One of the best experts on this subject based on the ideXlab platform.
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technical note a safe cheap and easy to use isotropic diffusion mri phantom for clinical and multicenter studies
Medical Physics, 2017Co-Authors: Pim Pullens, Piet Bladt, Jan Sijbers, Andrew I R Maas, Paul M. ParizelAbstract:Purpose Since Diffusion Weighted Imaging (DWI) data acquisition and processing are not standardized, substantial differences in DWI derived measures such as Apparent Diffusion Coefficient (ADC) may arise which are related to the acquisition or MRI processing method, but not to the sample under study. Quality assurance using a standardized test object, or phantom, is a key factor in standardizing DWI across scanners. Methods Current diffusion phantoms are either complex to use, not available in larger quantities, contain substances unwanted in a clinical environment, or are expensive. A diffusion phantom based on a polyvinylpyrrolidone (PVP) solution, together with a phantom holder, is presented and compared to existing diffusion phantoms for use in clinical DWI scans. An ADC vs. Temperature Calibration curve was obtained. Results ADC of the phantom (808 to 857 ± 0.2 mm2/s) is in the same range as ADC values found in brain tissue. ADC measurements are highly reproducible across time with an intra-class correlation coefficient of > 0.8. ADC as function of Temperature (in Kelvin) can be estimated as ADCm(T)=[exp(−7.09)·exp−2903.81T−1293.55] with a total uncertainty (95% confidence limit) of ± 1.7%. Conclusion We present an isotropic diffusion MRI phantom, together with its Temperature Calibration curve, that is easy-to-use in a clinical environment, cost-effective, reproducible to produce, and that contains no harmful substances.
Marijke W De Bar - One of the best experts on this subject based on the ideXlab platform.
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global Temperature Calibration of the long chain diol index in marine surface sediments
Organic Geochemistry, 2020Co-Authors: Marijke W De Bar, Gabriella M Weiss, Caglar Yildiz, Sebastiaan W Rampen, Julie Lattaud, Nicole J Bale, Furu Mienis, Geertjan A Brummer, Hartmut SchulzAbstract:Abstract The Long chain Diol Index (LDI) is a relatively new organic geochemical proxy for sea surface Temperature (SST), based on the abundance of the C30 1,15-diol relative to the summed abundance of the C28 1,13-, C30 1,13- and C30 1,15-diols. Here we substantially extend and re-evaluate the initial core top Calibration by combining the original dataset with 172 data points derived from previously published studies and 262 newly generated data points. In total, we considered 595 globally distributed surface sediments with an enhanced geographical coverage compared to the original Calibration. The relationship with SST is similar to that of the original Calibration but with considerably increased scatter. The effects of freshwater input (e.g., river runoff) and long-chain diol contribution from Proboscia diatoms on the LDI were evaluated. Exclusion of core-tops deposited at a salinity https://doi.org/10.1016/j.gca.2012.01.024 ), although with a larger Calibration error of 3 °C. This larger Calibration error results from several regions where the LDI does not seem to have a strong Temperature dependence with annual mean SST, posing a limitation on the application of the LDI.
