The PhanSST global database of Phanerozoic sea surface temperature proxy data
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Published:2022-12-06
Issue:1
Volume:9
Page:
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ISSN:2052-4463
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Container-title:Scientific Data
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language:en
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Short-container-title:Sci Data
Author:
Judd Emily J.ORCID, Tierney Jessica E., Huber Brian T.ORCID, Wing Scott L., Lunt Daniel J.ORCID, Ford Heather L.ORCID, Inglis Gordon N., McClymont Erin L.ORCID, O’Brien Charlotte L., Rattanasriampaipong RonnakritORCID, Si Weimin, Staitis Matthew L., Thirumalai KaustubhORCID, Anagnostou EleniORCID, Cramwinckel Margot J.ORCID, Dawson Robin R., Evans DavidORCID, Gray William R.ORCID, Grossman Ethan L., Henehan Michael J.ORCID, Hupp Brittany N., MacLeod Kenneth G.ORCID, O’Connor Lauren K., Sánchez Montes Maria Luisa, Song Haijun, Zhang Yi GeORCID
Abstract
AbstractPaleotemperature proxy data form the cornerstone of paleoclimate research and are integral to understanding the evolution of the Earth system across the Phanerozoic Eon. Here, we present PhanSST, a database containing over 150,000 data points from five proxy systems that can be used to estimate past sea surface temperature. The geochemical data have a near-global spatial distribution and temporally span most of the Phanerozoic. Each proxy value is associated with consistent and queryable metadata fields, including information about the location, age, and taxonomy of the organism from which the data derive. To promote transparency and reproducibility, we include all available published data, regardless of interpreted preservation state or vital effects. However, we also provide expert-assigned diagenetic assessments, ecological and environmental flags, and other proxy-specific fields, which facilitate informed and responsible reuse of the database. The data are quality control checked and the foraminiferal taxonomy has been updated. PhanSST will serve as a valuable resource to the paleoclimate community and has myriad applications, including evolutionary, geochemical, diagenetic, and proxy calibration studies.
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
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