Wu, Xiner; de Vernal, Anne; Allan, Estelle (2025): Mixed layer depth reconstructions based on dinocyst assemblage data of sediment core HU-84-030-21PC [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.982638, 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
Always quote citation above when using data! You can download the citation in several formats below.
Published: 2025-06-16 • DOI registered: 2025-06-17
Abstract:
Winter mixed layer depth (MLD) was reconstructed from the dinocyst assemblage data of sediment core HU-84-030-21PC 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):
Related to:
de Vernal, Anne; Hillaire-Marcel, Claude (2006): Provincialism in trends and high frequency changes in the northwest North Atlantic during the Holocene. Global and Planetary Change, 54, 263-290, https://doi.org/10.1016/j.gloplacha.2006.06.023
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: 58.370000 * Longitude: -57.510000
Minimum Elevation: -2853.0 m * Maximum Elevation: -2853.0 m
Event(s):
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | AGE | Age | ka BP | Allan, Estelle | Geocode | |
| 2 | Mixed layer depth | MLD | m | Wu, Xiner | Modern analogue technique (MAT) | MAT |
| 3 | Mixed layer depth | MLD | m | Wu, Xiner | Weighted averaging partial least squares (WA-PLS) regression | WAPLS regression and calibration |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
82 data points
Data
| 1 Age [ka BP] | 2 MLD [m] (MAT, Modern analogue techniqu...) | 3 MLD [m] (WAPLS regression and calibrat...) |
|---|---|---|
| 1.9681 | 321.6360 | 436.213 |
| 2.0724 | 379.9210 | 398.879 |
| 2.1767 | 586.5240 | 345.851 |
| 2.6430 | 90.1961 | 427.033 |
| 2.7462 | 451.1500 | 361.996 |
| 2.8489 | 380.1950 | 375.388 |
| 2.9515 | 446.4400 | 454.691 |
| 3.0028 | 513.4920 | 335.515 |
| 3.0539 | 189.4740 | 317.327 |
| 3.1560 | 285.1610 | 328.427 |
| 3.2580 | 353.0850 | 294.190 |
| 3.5118 | 416.7910 | 226.823 |
| 3.5624 | 262.3240 | 253.553 |
| 3.7642 | 214.1930 | 312.407 |
| 4.0153 | 479.8130 | 217.562 |
| 4.0653 | 440.7060 | 241.535 |
| 4.2649 | 267.0590 | 290.294 |
| 4.5132 | 585.7200 | 218.879 |
| 4.5627 | 385.2230 | 288.086 |
| 4.7600 | 249.0240 | 266.968 |
| 5.0055 | 608.2080 | 268.608 |
| 5.2496 | 287.0950 | 312.365 |
| 5.4923 | 581.9790 | 261.635 |
| 5.7818 | 351.2880 | 210.528 |
| 5.9736 | 308.5780 | 181.619 |
| 6.2597 | 274.4640 | 201.276 |
| 6.4493 | 445.0700 | 187.125 |
| 6.6379 | 518.4200 | 209.796 |
| 6.9194 | 417.2330 | 227.850 |
| 6.9662 | 220.7800 | 212.403 |
| 7.1058 | 275.8440 | 286.188 |
| 7.2914 | 194.4770 | 199.924 |
| 7.3840 | 67.7510 | 262.076 |
| 7.5222 | 510.0060 | 210.316 |
| 7.7059 | 148.3320 | 196.398 |
| 7.8430 | 286.3660 | 225.591 |
| 7.8887 | 322.6070 | 180.799 |
| 7.9796 | 343.7300 | 142.924 |
| 8.0704 | 238.1260 | 152.771 |
| 8.1158 | 149.3200 | 144.975 |
| 8.2965 | 51.4143 | 157.435 |
