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Wu, Xiner; de Vernal, Anne; Allan, Estelle (2025): Mixed layer depth reconstructions based on dinocyst assemblage data of sediment core MSM5/5-712-2 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.982634, 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 MSM5/5-712-2 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:
Falardeau, Jade; de Vernal, Anne; Spielhagen, Robert F (2018): Paleoceanography of northeastern Fram Strait since the last glacial maximum: Palynological evidence of large amplitude changes. Quaternary Science Reviews, 195, 133-152, https://doi.org/10.1016/j.quascirev.2018.06.030
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: 78.920000 * Longitude: 6.770000
Minimum Elevation: -1487.0 m * Maximum Elevation: -1487.0 m
Event(s):
MSM5/5-712-2 (MSM2) * Latitude: 78.920000 * Longitude: 6.770000 * Elevation: -1487.0 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:
146 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...)
0.45765365.190201.014
0.69970363.208231.861
0.93759306.368207.757
1.16730286.795222.714
1.39060215.929193.596
1.55500383.512247.674
1.77230294.598232.445
1.99040392.216244.361
2.21070290.221210.660
2.43310346.594208.621
2.65470382.516225.349
2.87330399.563241.913
3.08890363.629224.576
3.30170383.645227.233
3.51170417.916219.249
3.71880378.544243.255
3.92280316.933215.257
4.12350375.092221.250
4.32040268.270202.989
4.51320345.229233.507
4.70530285.675200.323
4.89680378.168237.303
5.08340508.752233.583
5.26510258.709222.027
5.44170189.620201.050
5.61310423.153213.384
5.77990214.678216.353
5.94200384.025233.245
6.09980389.156239.629
6.25320379.060280.107
6.40230330.776247.526
6.54720446.044299.928
6.68800292.346293.490
6.82470438.935313.418
6.95770415.668298.338
7.08710414.381363.007
7.21290418.883349.093
7.33510311.701338.616
7.45400578.155422.189
7.54100385.490483.595
7.68200299.699352.127
7.79150500.418356.590
7.89830485.935257.522
8.00280516.267284.176
8.10550339.992326.632
8.20670494.478351.512
8.30660484.634295.220
8.40550373.215375.201
8.50300492.830306.537
8.59890428.758394.230
8.69280352.296374.338
8.78410323.373350.916
8.87270435.027269.479
8.95880250.371273.446
9.04220226.297135.379
9.12320272.591309.960
9.20170160.440302.905
9.27770520.381189.982
9.35130139.744271.367
9.42280478.897245.558
9.49220370.539230.561
9.55980510.746252.785
9.62570527.720267.455
9.69020144.533238.031
9.75350193.654182.173
9.81580424.696253.881
9.87740454.136304.561
9.93840445.452292.680
9.99920180.735345.786
10.12100284.333429.694
10.24500267.159333.666
10.37500341.406469.099
10.51400246.566341.018