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Wu, Xiner; de Vernal, Anne; Allan, Estelle (2025): Mixed layer depth reconstructions based on dinocyst assemblage data of sediment core HU91-045-085TWC [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.982644, In: Wu, X et al. (2025): Mixed layer depth reconstructions based on dinocyst assemblage data for 16 Holocene records in the subpolar North Atlantic using the modern analogue technique and weighted averaging partial least squares [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.982394

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Published: 2025-06-16DOI registered: 2025-06-17

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Abstract:
Winter mixed layer depth (MLD) was reconstructed from the dinocyst assemblage data of sediment core HU91-045-085TWC 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.
Keyword(s):
Dinocysts; Holocene; mixed-layer depth; Paleoceanographic proxies; reconstruction; subpolar North Atlantic
Related to:
de Vernal, Anne; Hillaire-Marcel, Claude; Rochon, André; Fréchette, Bianca; Henry, Maryse; Solignac, Sandrine; Bonnet, Sophie (2013): Dinocyst-based reconstructions of sea ice cover concentration during the Holocene in the Arctic Ocean, the northern North Atlantic Ocean and its adjacent seas. Quaternary Science Reviews, 79, 111-121, https://doi.org/10.1016/j.quascirev.2013.07.006
Wu, Xiner (2025): Mixed layer depth values for the n = 1968 modern dinocyst database [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.982265
Wu, Xiner; de Vernal, Anne; Allan, Estelle (2025): Migration of deep convection center in subpolar North Atlantic around 6 ka suggested by a dinocyst proxy of mixed layer depth. Paleoceanography and Paleoclimatology, 40(6), e2024PA004998, https://doi.org/10.1029/2024PA004998
Funding:
Fonds de Recherche du Québec – Nature et Technologies (FRQNT), grant/award no. 320994: FRQNT - Nature et technologies
Natural Sciences and Engineering Research Council (NSERC), grant/award no. DG/AdV: NSERC Discovery Grant
Coverage:
Latitude: 53.980000 * Longitude: -38.640000
Minimum Elevation: -3603.0 m * Maximum Elevation: -3603.0 m
Event(s):
HU91-045-085TWC (TW85) * Latitude: 53.980000 * Longitude: -38.640000 * Elevation: -3603.0 m * Method/Device: Core (CORE)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
AGEAgeka BPAllan, EstelleGeocode
Mixed layer depthMLDmWu, XinerModern analogue technique (MAT)MAT
Mixed layer depthMLDmWu, XinerWeighted averaging partial least squares (WA-PLS) regressionWAPLS regression and calibration
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
129 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Age [ka BP]

MLD [m]
(MAT, Modern analogue techniqu...)

MLD [m]
(WAPLS regression and calibrat...)
0.013609.6560603.547
0.171446.5780544.959
0.329564.6470544.017
0.487234.2730270.084
0.645340.2020504.740
0.961422.5820521.832
1.119304.8890512.641
1.277393.4550581.543
1.435305.5910531.913
1.751297.2650550.186
1.909290.9080580.312
2.067369.2900517.250
2.225392.5540584.642
2.541374.5960564.631
2.699437.3000479.675
2.857170.6470519.111
3.015402.8810610.007
3.331377.9880583.984
3.489219.6600592.784
3.647424.4220526.742
3.805320.6260528.539
4.121436.7700563.483
4.279277.3490558.330
4.437374.3880534.179
4.595126.6860571.487
4.911346.6160476.828
5.069166.0500391.834
5.227318.3050496.817
5.385356.7140560.858
5.701187.4270437.327
5.859319.3860439.627
6.017425.2880481.936
6.175373.3580629.611
6.491339.2780396.758
6.649270.7890505.322
6.807169.8810536.334
6.965386.6120406.231
7.281344.5800471.625
7.439375.5270354.695
7.597369.0760340.270
7.755146.9210356.098
8.071423.6870473.726
8.229311.1480377.927
8.387407.8830523.310
8.545449.9460518.305
8.703430.5100634.737
8.861294.7780469.878
9.019412.5010557.248
9.177360.8770412.101
9.335348.9730443.463
9.493349.5500521.991
9.651281.7190484.952
9.809107.1170552.993
9.96759.4591459.723
10.12559.4314498.125
10.441172.9520518.243
10.59961.3151496.744
10.757221.3470237.337
10.915318.294
11.07386.7135506.508
11.231226.0730381.974
11.389416.1860438.149
11.54759.5363375.955
11.705227.1040459.568
11.863283.6420535.224