<?xml version="1.0" encoding="UTF-8"?><resource xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.3/metadata.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4"><identifier identifierType="DOI">10.1594/PANGAEA.941973</identifier><creators><creator><creatorName>Martinot, Claire</creatorName><givenName>Claire</givenName><familyName>Martinot</familyName><nameIdentifier schemeURI="http://orcid.org/" nameIdentifierScheme="ORCID">0000-0002-6192-4245</nameIdentifier></creator><creator><creatorName>Bolton, Clara T</creatorName><givenName>Clara T</givenName><familyName>Bolton</familyName><nameIdentifier schemeURI="http://orcid.org/" nameIdentifierScheme="ORCID">0000-0002-3078-1253</nameIdentifier></creator><creator><creatorName>Sarr, Anta-Clarisse</creatorName><givenName>Anta-Clarisse</givenName><familyName>Sarr</familyName><nameIdentifier schemeURI="http://orcid.org/" nameIdentifierScheme="ORCID">0000-0002-9495-5355</nameIdentifier></creator><creator><creatorName>Donnadieu, Yannick</creatorName><givenName>Yannick</givenName><familyName>Donnadieu</familyName><nameIdentifier schemeURI="http://orcid.org/" nameIdentifierScheme="ORCID">0000-0002-7315-2684</nameIdentifier></creator><creator><creatorName>García, Marta</creatorName><givenName>Marta</givenName><familyName>García</familyName></creator><creator><creatorName>Gray, Emmeline</creatorName><givenName>Emmeline</givenName><familyName>Gray</familyName><nameIdentifier schemeURI="http://orcid.org/" nameIdentifierScheme="ORCID">0000-0002-1664-4930</nameIdentifier></creator><creator><creatorName>Tachikawa, Kazuyo</creatorName><givenName>Kazuyo</givenName><familyName>Tachikawa</familyName><nameIdentifier schemeURI="http://orcid.org/" nameIdentifierScheme="ORCID">0000-0002-9522-8600</nameIdentifier></creator></creators><titles><title>Climatic simulation from the equatorial Indian Ocean</title></titles><publisher>PANGAEA</publisher><publicationYear>2022</publicationYear><subjects><subject>CO2</subject><subject>equatorial Indian Ocean</subject><subject>Late Miocene</subject><subject>Sea Surface Temperatures</subject><subject subjectScheme="Parameter">Binary Object</subject><subject subjectScheme="Parameter">Binary Object (MD5 Hash)</subject><subject subjectScheme="Parameter">Binary Object (Media Type)</subject><subject subjectScheme="Parameter">Binary Object (File Size)</subject></subjects><resourceType resourceTypeGeneral="Dataset">Dataset</resourceType><relatedIdentifiers><relatedIdentifier relatedIdentifierType="DOI" relationType="References">10.1029/2021PA004407</relatedIdentifier><relatedIdentifier relatedIdentifierType="DOI" relationType="IsDocumentedBy">10.14379/iodp.proc.353.101.2016</relatedIdentifier></relatedIdentifiers><sizes><size>4 data points</size></sizes><formats><format>text/tab-separated-values</format></formats><rightsList><rights rightsURI="https://creativecommons.org/licenses/by/4.0/" schemeURI="https://spdx.org/licenses/" rightsIdentifierScheme="SPDX" rightsIdentifier="CC-BY-4.0">Creative Commons Attribution 4.0 International</rights></rightsList><descriptions><description descriptionType="Abstract">During the late Miocene, global cooling occurred alongside the establishment of near-modern terrestrial and marine ecosystems. Significant (3 to 5 °C) sea surface cooling from 7.5 to 5.5 Ma is recorded by proxies at mid to high latitudes, yet the magnitude of tropical cooling and the role of atmospheric carbon dioxide (pCO2) in driving this trend are debated. Here, we present a new orbital-resolution sea surface temperature (SST) record spanning the late Miocene to earliest Pliocene (9 to 5 Ma) from the eastern equatorial Indian Ocean (International Ocean Discovery Program Site U1443) based on Mg/Ca ratios measured in tests of the planktic foraminifer Trilobatus trilobus. To test if an atmospheric pCO2 decrease may have driven this cooling, we also present new paleoclimate model simulations under three atmospheric pCO2 scenarios (300 ppm, 420 ppm and 560 ppm; in the range suggested by existing pCO2 proxy records).<br/>The climatic simulation presents the effect of late Miocene pCO2 on Sea surfaces Temperatures. This dataset contains sea surface temperature outputs from modeling experiments with variable CO2 levels and a late Miocene paleogeography (Sarr et al., in review). The simulations have been run using the IPSL-CM5A2 General Circulation Model (Sepulchre et al. 2020 - GMD). It includes 3 simulations at 300, 420 and 560 ppm respectively. Data are monthly averages over the last 100 years of the simulations. Files have curvilinear coordinates (nav_lon, nav_lat).</description></descriptions><fundingReferences><fundingReference><funderName>Agence Nationale de la Recherche</funderName><funderIdentifier funderIdentifierType="Crossref Funder ID">https://doi.org/10.13039/501100001665</funderIdentifier><awardNumber>ANR‐16‐CE01‐0004‐01</awardNumber><awardTitle>ANR iMonsoon</awardTitle></fundingReference><fundingReference><funderName>Agence Nationale de la Recherche</funderName><funderIdentifier funderIdentifierType="Crossref Funder ID">https://doi.org/10.13039/501100001665</funderIdentifier><awardNumber>ANR-16-CE31-0020</awardNumber><awardTitle>AMOR</awardTitle></fundingReference></fundingReferences></resource>