A global synthesis of high-resolution stable isotope data from benthic foraminifera of the last deglaciation

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メタデータ

公開日
2022-10-21
サイズ
  • 1.0
DOI
  • 10.5281/zenodo.11187264
  • 10.5281/zenodo.7234738
  • 10.5281/zenodo.7234739
  • 10.5281/zenodo.7502756
  • 10.5281/zenodo.10391267
  • 10.5281/zenodo.7502728
公開者
Zenodo
データ作成者 (e-Rad)
  • Muglia, Juan
  • Mulitza, Stefan
  • Repschläger, Janne
  • Schmittner, Andreas
  • Lembke-Jene, Lester
  • Mix, Alan
  • Saraswat, Rajeev
  • Sikes, Elizabeth
  • Waelbroeck, Claire
  • Gottschalk, Julia
  • Lippold, Jörg
  • Lund, David
  • Martinez-Mendez, Gema
  • Michel, Elisabeth
  • Muschitiello, Francesco
  • Naik, Suchant
  • Okazaki, Yusuke
  • Stott, Lowell
  • Voelker, Antje
  • Zhao, Ning

説明

In paleoceanography, carbon and oxygen stable isotope ratios from benthic foraminifera are used as tracers of physical and biogeochemical properties of the deep ocean. We present the first version of the Ocean Carbon Cycling working group database,  of stable isotope ratios of oxygen and carbon from benthic foraminifera from deep ocean sediment cores from the Last Glacial Maximum (LGM, 23-20 ky before present (BP)) to the Holocene (<10 ky BP) with a particular focus on the early last deglaciation (20-15 ky BP). It includes 287 globally distributed coring sites, with metadata, isotopic and chronostratigraphic information, and age models. A quality check was performed for all data and age models. Sites with at least millennial resolution were preferred, because the main goal is to resolve ocean changes associated with the last deglaciation on at least millennial timescales. Software tools were produced to access and analyze the data, and are included with this publication. Deep water mass structure as well as differences between the early deglaciation and LGM are captured by the data in the compilation, even though its coverage is still sparse in many ocean regions. We find high correlations among time series calculated with different age models at sites that allow such analysis. The database provides a useful dynamical approach to map physical and biogeochemical changes of the ocean throughout the last deglaciation.

Custom python scripts to read and analyze the data base may be found in https://github.com/juanmuglia/OC3-python-scripts and in OC3-python-scripts.zip in this repository. plots_d13c.pdf and plots_d18o.pdf contain time series for all sites and available age models.

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