10.1594/PANGAEA.971430Diz, PaulaPaulaDiz0000-0002-7136-0690Hernández-Almeida, IvánIvánHernández-Almeida0000-0002-9329-8357Bernárdez, PatriciaPatriciaBernárdez0000-0003-2040-5577Pérez-Arlucea, MartaMartaPérez-ArluceaHall, Ian RIan RHall0000-0001-6960-1419PANGAEA2024PacificPlanktonic foraminiferaU1381CSample code/labelDEPTH, sediment/rockAGEBeella digitataGlobigerina bulloidesGloboquadrina conglomerataGloborotalia crassaformisGlobigerinita glutinataGloborotaloides hexagonusGloboconella inflataGloborotalia menardiiGlobigerinoides ruberGlobigerinoides ruber pinkTrilobatus sacculiferGloborotalia scitulaGlobigerinella siphoniferaGlobigerinoides tenellusGloborotalia theyeriTrilobatus trilobusGloborotalia truncatulinoides dextralGloborotalia tumidaNeogloboquadrina dutertreiNeogloboquadrina pachyderma dextralNeogloboquadrina pachyderma dextral and dutertrei intergradeOrbulina universaPulleniatina spp.Sphaeroidinella dehiscensTurborotalita quinquelobaUnknownDrilling/drill rigDSDP/ODP/IODP sample designationIODP Depth Scale TerminologyCalculatedCounting >150 µm fractionExp344Joides Resolution2012-10-26T12:15:00/2012-10-27T21:45:00Dataset10.1594/PANGAEA.97142710.1016/j.epsl.2018.04.02410092 data pointstext/tab-separated-valuesCreative Commons Attribution 4.0 InternationalSediment samples destined for the analysis of planktic assemblages were wet-sieved over a 63 μm fraction and then oven-dried. Planktonic foraminifera were identified and counted on the >150 µm size fraction. Samples were not split unless they contain more than 200 planktonic foraminifera. he age model is calculated as indicated in doi:10.1594/PANGAEA.971417.-84.1588.4283783333333Agencia Estatal de Investigacionhttps://doi.org/10.13039/501100011033JC1-2011-08849Axencia Galega de Innovación, Xunta de Galiciahttps://doi.org/10.13039/501100010769EM2013/012Ministry of Economy, Industry and Competitivenesshttps://doi.org/10.13039/501100003329CGL2016-79878-RSwiss National Science Foundationhttps://doi.org/10.13039/501100001711164634Sensitivity of East Asian Winter Monsoon to changes in sea surface temperature and productivity in the South China Sea on millennial time scales