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#lipids

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Nina Davtian

Four weeks ago, my first co-authored @EuroGeosciences #preprint « #Reviews and syntheses: Best practices for the application of #marine #GDGTs as proxy for paleotemperatures: sampling, processing, analyses, interpretation, and archiving protocols » went online!
doi.org/10.5194/egusphere-2025
#Science #ScienceMastodon #AcademicMastodon
#Review #Consensus
#EGUsphere
#isoGDGTs #brGDGTs #TeamArchaea #TeamBacteria
#archaeal #bacterial #tetraether #lipids
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Nina Davtian (that's me!) at her work office, with the laptop screen showing the header of her co-authored preprint by Bijl and Sliwinska et al. (submitted to Biogeosciences) EGUsphere (https://doi.org/10.5194/egusphere-2025-1467) with her name highlighted in the author list. Nina is holding a mug on which the text reads « 2nd international GDGT workshop September 2023, Zürich ».
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Nina Davtian

The last #scientific #publication from Devika Varma’s #PhD #thesis at @NIOZnieuws (nioz.nl/en/news/investigating-) is now published in #OrganicGeochemistry:
doi.org/10.1016/j.orggeochem.2
Many thanks to Isla Castañeda for the invitation to review this paper—yes, I signed the review report.
#Science #ScienceMastodon #AcademicMastodon
#GDGTs #isoGDGTs #TeamArchaea
#Archaeal #tetraether #lipids

www.nioz.nlInvestigating paleotemperature proxies based on archaeal hydroxylated tetraether lipidsUnderstanding past sea surface temperatures (SSTs) is crucial for reconstructing Earth's climate history. Devika Varma has focused her PhD research pr…
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Nina Davtian

On this #InternationalWomensDay, let me highlight two #WomenInSTEM.
First, Amy Cromartie, who leads the following @EuroGeosciences #preprint:
egusphere.copernicus.org/prepr
Second, Devika Varma, who recently defended her #PhD #thesis. Her PhD work at @NIOZnieuws aimed to investigate #paleotemperature indicators based on #archaeal hydroxylated #tetraether #lipids (OH-isoGDGTs):
nioz.nl/en/news/investigating-
#IWD #IWD25 #IWD2025
#Science #ScienceMastodon #AcademicMastodon
#GDGTs #brGDGTs #isoGDGTs
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egusphere.copernicus.orgUtilizing Probability Estimates from Machine Learning and Pollen to Understand the Depositional Influences on Branched GDGT in Wetlands, Peatlands, and LakesAbstract. Branched glycerol dialkyl glycerol tetraethers (brGDGTs) serve as critical molecular biomarkers for the quantitative reconstruction of past environments, ambient temperature and pH across various archives. Despite their success, numerous issues persist that limit their application. The distribution of brGDGTs varies significantly based on provenance, resulting in biases in environmental reconstructions that rely on fractional abundances and derived indices, such as the MBT’5ME. This issue is especially significant in shallow lakes, wetlands, and peatlands within semi-arid and arid regions, where ecosystems are sensitive to diverse environmental and climatic factors. Recent advancements, such as machine learning techniques, have been developed to identify changes in sources; however, these techniques are insufficient for detecting mixed source environments. The probability estimates derived from five machine learning algorithms are employed here to detect provenance changes in brGDGT downcore records and to identify periods of mixed provenance. A new global modern database (n=2301) was compiled to train, validate, test, and apply these algorithms to two sedimentary records. Our findings are corroborated by pollen and non-pollen palynomorphs obtained from the identical records. These microfossil proxies are utilized to discuss changes in provenance, hydrology, and ecology that influence the distribution of brGDGTs. Probability estimates derived from Random Forest with a sigmoid calibration are most effective in detecting changes in brGDGT distribution. Minor changes in the relative contributions of brGDGTs provenance can significantly influence the distribution of brGDGTs, especially regarding the MBT'5ME index. This study introduces a novel brGDGT wetland index aimed at monitoring potential biases arising from wetland development.
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preLights

In June, @the_node, preLights & @focalplane_jcs hosted #SciCommConnect, a science communication event.

Here, we highlight one of the winners of the 3-minute research talk competition: Shreya Pramanik ⭐

Check out her wonderful talk and learn more about her research and career in the post below ⬇️ 👀

Interview: prelights.biologists.com/news/

preLightsIntroducing Shreya Pramanik - one of the SciCommConnect three-minute talk winners - preLightsIn June, the Node, preLights and FocalPlane hosted SciCommConnect, a science communication event focussed on learning new scicomm skills and networking with like-minded researchers. As part of the day, we hosted a three-minute research talk competition, and we were treated to 12 fantastic talks on a range of topics. We had two competition winners, Oliver[...] Read More
#interview#talk#scicomm
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