Wu, Xiner (2025): Mixed layer depth values for the n = 1968 modern dinocyst database extracted from the monthly climatology by de Boyer Montégut (2023) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.982269, In: Wu, X (2025): Mixed layer depth values for the n = 1968 modern dinocyst database [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.982265
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Published: 2025-06-16 • DOI registered: 2025-06-17
Abstract:
Monthly, seasonal and annual mixed layer depth (MLD) values at the 1968 sites of the modern dinocyst database by de Vernal et al. (2020). The MLD values were extracted from the monthly climatology based on profile data of 1970-2021 by de Boyer Montégut (2023) using a density threshold of 0.03 kg/m3 with reference to 10 m depth. In order to get an MLD value that corresponds to each site, the MLD climatology products were interpolated to the previously published 1968 sites.
Supplement to:
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
Related to:
de Boyer Montégut, Clément (2023): Mixed layer depth climatology computed with a density threshold criterion of 0.03kg/m3 from 10 m depth value [dataset]. SEANOE, https://doi.org/10.17882/91774
de Vernal, Anne; Radi, Taoufik; Zaragosi, Sebastien; Van Nieuwenhove, Nicolas; Rochon, André; Allan, Estelle; De Schepper, Stijn; Eynaud, Frédérique; Head, Martin J; Limoges, Audrey; Londeix, Laurent; Marret, Fabienne; Matthiessen, Jens; Penaud, Aurélie; Pospelova, Vera; Price, Andrea; Richerol, Thomas (2020): Distribution of common modern dinocyst taxa in surface sediments of the Northern Hemisphere in relation to environmental parameters: the updated n=1968 database. Marine Micropaleontology, 159, 101796, https://doi.org/10.1016/j.marmicro.2019.101796
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:
Median Latitude: 54.311479 * Median Longitude: -49.079375 * South-bound Latitude: -0.720000 * West-bound Longitude: -179.850000 * North-bound Latitude: 81.740000 * East-bound Longitude: 179.850000
Event(s):
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Event label | Event | Wu, Xiner | |||
| 2 | Station label | Station | Wu, Xiner | |||
| 3 | LATITUDE | Latitude | Wu, Xiner | Geocode | ||
| 4 | LONGITUDE | Longitude | Wu, Xiner | Geocode | ||
| 5 | Mixed layer depth | MLD | m | Wu, Xiner | interpolated | January |
| 6 | Mixed layer depth | MLD | m | Wu, Xiner | interpolated | February |
| 7 | Mixed layer depth | MLD | m | Wu, Xiner | interpolated | March |
| 8 | Mixed layer depth | MLD | m | Wu, Xiner | interpolated | April |
| 9 | Mixed layer depth | MLD | m | Wu, Xiner | interpolated | May |
| 10 | Mixed layer depth | MLD | m | Wu, Xiner | interpolated | June |
| 11 | Mixed layer depth | MLD | m | Wu, Xiner | interpolated | July |
| 12 | Mixed layer depth | MLD | m | Wu, Xiner | interpolated | August |
| 13 | Mixed layer depth | MLD | m | Wu, Xiner | interpolated | September |
| 14 | Mixed layer depth | MLD | m | Wu, Xiner | interpolated | October |
| 15 | Mixed layer depth | MLD | m | Wu, Xiner | interpolated | November |
| 16 | Mixed layer depth | MLD | m | Wu, Xiner | interpolated | December |
| 17 | Mixed layer depth | MLD | m | Wu, Xiner | interpolated | annual average |
| 18 | Mixed layer depth | MLD | m | Wu, Xiner | interpolated | winter average |
| 19 | Mixed layer depth | MLD | m | Wu, Xiner | interpolated | spring average |
| 20 | Mixed layer depth | MLD | m | Wu, Xiner | interpolated | summer average |
| 21 | Mixed layer depth | MLD | m | Wu, Xiner | interpolated | autumn average |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
35424 data points
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