The PhanSST global database of Phanerozoic sea surface temperature proxy data

Emily J. Judd, Jessica E. Tierney, Brian T. Huber, Scott L. Wing, Daniel J. Lunt, Heather L. Ford, Gordon N. Inglis, Erin L. McClymont, Charlotte L. O’Brien, Ronnakrit Rattanasriampaipong, Weimin Si, Matthew L. Staitis, Kaustubh Thirumalai, Eleni Anagnostou, Margot J. Cramwinckel, Robin R. Dawson, David Evans, William R. Gray, Ethan L. Grossman, Michael J. HenehanBrittany N. Hupp, Kenneth G. MacLeod, Lauren K. O’Connor, Maria Luisa Sánchez Montes, Haijun Song, Yi Ge Zhang

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Paleotemperature 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.

Original languageEnglish (US)
Article number753
JournalScientific Data
Volume9
Issue number1
DOIs
StatePublished - Dec 2022
Externally publishedYes

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

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