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Anja Schwarz

Researcher at Braunschweig University of Technology

Publications -  45
Citations -  452

Anja Schwarz is an academic researcher from Braunschweig University of Technology. The author has contributed to research in topics: Holocene & Diatom. The author has an hindex of 11, co-authored 38 publications receiving 327 citations. Previous affiliations of Anja Schwarz include University of Potsdam & Free University of Berlin.

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Interplay between redox conditions and hydrological changes in sediments from Lake Nam Co (Tibetan Plateau) during the past 4000 cal BP inferred from geochemical and micropaleontological analyses

TL;DR: In this paper, the analysis of lake sediments retrieved from the deepest part of Lake Nam Co (Tibetan Plateau) was performed for geochemical and biological parameters, and the results showed that hydrological variations in terms of lake level change based on monsoonal strength can be linked to redox conditions at the lake bottom of Nam Co.
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Mid- to late Holocene climate-driven regime shifts inferred from diatom, ostracod and stable isotope records from Lake Son Kol (Central Tian Shan, Kyrgyzstan)

TL;DR: In this article, the authors used diatom, ostracod, sedimentological, geochemical and stable isotope analyses from a ca. 6000-year-old lake sediment core from Son Kol (Central Kyrgyzstan) to identify climate fluctuations as the main driver for hydrological regime shifts in Son Kol controlling physicochemical conditions and consequently causing abrupt species assemblage changes.

Postcolonial piracy : Media distribution and cultural production in the global south

TL;DR: Sundaram as mentioned in this paper revisited the Pirate Kingdom Ravi Sundaram and Liang as mentioned in this paper and discussed the benefits of modern piracy and the paradoxes of post-colonization piracy.
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Dynamic adjustment of training sets (‘moving-window’ reconstruction) by using transfer functions in paleolimnology—a new approach

TL;DR: In this paper, a moving-window approach was proposed to identify the best number of nearest neighbours (window size) from a merged supra-regional EDDI and local (MV) training set (n = 429) for each fossil diatom assemblage and the best type of transfer function (ML, WA-PLS) based on the error statistic of each transfer function.