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

  • Juan Muglia*
  • , Stefan Mulitza
  • , Janne Repschläger
  • , Andreas Schmittner
  • , Lester Lembke-Jene
  • , Lorraine Lisiecki
  • , Alan Mix
  • , Rajeev Saraswat
  • , Elizabeth Sikes
  • , Claire Waelbroeck
  • , Julia Gottschalk
  • , Jörg Lippold
  • , David Lund
  • , Gema Martinez-Mendez
  • , Elisabeth Michel
  • , Francesco Muschitiello
  • , Sushant Naik
  • , Yusuke Okazaki
  • , Lowell Stott
  • , Antje Voelker
  • Ning Zhao
*Corresponding author for this work
  • Consejo Nacional de Investigaciones Científicas y Técnicas
  • University of Bremen
  • Max Planck Institute for Chemistry
  • Oregon State University
  • Alfred Wegener Institute - Helmholtz Centre for Polar and Marine Research
  • University of California at Santa Barbara
  • CSIR - National Institute of Oceanography
  • Rutgers - The State University of New Jersey, New Brunswick
  • Sorbonne Université
  • Kiel University
  • Heidelberg University 
  • University of Connecticut
  • Helmholtz Institute for Functional Marine Biodiversity at the University of Oldenburg (HIFMB)
  • Université Paris-Saclay
  • University of Cambridge
  • Kyushu University
  • University of Southern California
  • The Portuguese Institute for Sea and Atmosphere
  • University of Algarve

Research output: Contribution to journalArticlepeer-review

Abstract

We present the first version of the Ocean Circulation and Carbon Cycling (OC3) working group database, of oxygen and carbon stable isotope ratios from benthic foraminifera in deep ocean sediment cores from the Last Glacial Maximum (LGM, 23-19 ky) to the Holocene (<10 ky) with a particular focus on the early last deglaciation (19-15 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, and sites with at least millennial resolution were preferred. Deep water mass structure as well as differences between the early deglaciation and LGM are captured by the data, even though its coverage is still sparse in many 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.

Original languageEnglish
Article number131
JournalScientific Data
Volume10
Issue number1
DOIs
StatePublished - Dec 2023

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