Holocene and Eemian Sea surface temperature trends as revealed by alkenone and Mg/Ca paleothermometry.

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dc.contributor.authorLeduc, Guillaume
dc.contributor.authorSchneider, Ralph R
dc.contributor.authorKim, Jung-Hyun
dc.contributor.authorLohmann, Gerrit
dc.coverage.spatialLATITUDE: 51.268000 * LONGITUDE: 167.725000 * DATE/TIME START: 2001-06-09T20:05:00 * DATE/TIME END: 2001-06-09T20:05:00 * MINIMUM ELEVATION: -2317.0 m * MAXIMUM ELEVATION: -2317.0 m
dc.date.accessioned2019-11-23T08:41:43Z
dc.date.available2019-11-23T08:41:43Z
dc.date.issued2010-04-21
dc.formattext/tab-separated-values, 71 data points
dc.identifierhttps://doi.pangaea.de/10.1594/PANGAEA.736993
dc.identifierhttps://doi.org/10.1594/PANGAEA.736993
dc.identifier.citationLeduc, Guillaume; Schneider, Ralph R; Kim, Jung-Hyun; Lohmann, Gerrit (2010): Holocene and Eemian Sea surface temperature trends as revealed by alkenone and Mg/Ca paleothermometry. Quaternary Science Reviews, 29(7-8), 989-1004, https://doi.org/10.1016/j.quascirev.2010.01.004
dc.identifier.urihttps://repository.geologyscience.ru/handle/123456789/7252
dc.language.isoen
dc.publisherPANGAEA
dc.relation.isbasedonLeduc, Guillaume; Schneider, Ralph R; Kim, Jung-Hyun; Lohmann, Gerrit (2010): Holocene and Eemian Sea surface temperature trends as revealed by alkenone and Mg/Ca paleothermometry. Quaternary Science Reviews, 29(7-8), 989-1004, https://doi.org/10.1016/j.quascirev.2010.01.004
dc.relation.urihttps://doi.org/10.1594/PANGAEA.737370
dc.rightsCC-BY-3.0: Creative Commons Attribution 3.0 Unported
dc.rightsAccess constraints: unrestricted
dc.subjectAGE
dc.subjectEmperor Seamounts
dc.subjectGiant piston corer
dc.subjectGPC
dc.subjectIMAGES VII - WEPAMA
dc.subjectMarion Dufresne
dc.subjectMD012416
dc.subjectMD01-2416
dc.subjectMD122
dc.subjectSea surface temperature
dc.subjectSST from Mg/Ca ratios
dc.titleHolocene and Eemian Sea surface temperature trends as revealed by alkenone and Mg/Ca paleothermometry.
dc.title.alternativeSea surface temperature reconstruction from sediment core MD01-2416 using Mg/Ca-ratios
dc.typeDataset

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