Mixed layer depth reconstructions based on dinocyst assemblage data of sediment core M23352

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Main Authors: Wu, Xiner, de Vernal, Anne, Allan, Estelle
Format: Dataset Open Access
Language:en
Published: PANGAEA 2025
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author Wu, Xiner
de Vernal, Anne
Allan, Estelle
author_facet Wu, Xiner
de Vernal, Anne
Allan, Estelle
collection Datos científicos de ciencias marinas y ambientales
contents Winter mixed layer depth (MLD) was reconstructed from the dinocyst assemblage data of sediment core M23352 using two different approaches: modern analogue technique (MAT) and weighted averaging partial least square (WAPLS) regression and calibration. The n = 1968 modern dinocyst database and the modern MLD climatology of 1981-2010 from the World Ocean Atlas 2018 were used as calibration dataset.
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_982630
institution PANGAEA
language en
publishDate 2025
publisher PANGAEA
record_format pangaea
spellingShingle Mixed layer depth reconstructions based on dinocyst assemblage data of sediment core M23352
Wu, Xiner
de Vernal, Anne
Allan, Estelle
AGE; Core; CORE; Dinocysts; Holocene; M23352; M52; Mixed layer depth; mixed-layer depth; Modern analogue technique (MAT); Paleoceanographic proxies; reconstruction; subpolar North Atlantic; Weighted averaging partial least squares (WA-PLS) regression
Winter mixed layer depth (MLD) was reconstructed from the dinocyst assemblage data of sediment core M23352 using two different approaches: modern analogue technique (MAT) and weighted averaging partial least square (WAPLS) regression and calibration. The n = 1968 modern dinocyst database and the modern MLD climatology of 1981-2010 from the World Ocean Atlas 2018 were used as calibration dataset.
title Mixed layer depth reconstructions based on dinocyst assemblage data of sediment core M23352
topic AGE; Core; CORE; Dinocysts; Holocene; M23352; M52; Mixed layer depth; mixed-layer depth; Modern analogue technique (MAT); Paleoceanographic proxies; reconstruction; subpolar North Atlantic; Weighted averaging partial least squares (WA-PLS) regression
url https://doi.org/10.1594/PANGAEA.982630