FROG: A global machine-learning temperature calibration for branched GDGTs in soils and peats

Véquaud, P, Thibault, A, Derenne, S et al. (7 more authors) (2022) FROG: A global machine-learning temperature calibration for branched GDGTs in soils and peats. Geochimica et Cosmochimica Acta, 318. pp. 468-494. ISSN 0016-7037

Abstract

Metadata

Item Type: Article
Authors/Creators:
Keywords: Branched GDGTs; Global temperature calibration; Soil; Peat; Machine learning
Dates:
  • Published: 1 February 2022
  • Published (online): 16 December 2021
  • Accepted: 7 December 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Ecology & Global Change (Leeds)
Funding Information:
Funder
Grant number
NERC (Natural Environment Research Council)
NE/T012226/1
Depositing User: Symplectic Publications
Date Deposited: 01 Feb 2022 13:51
Last Modified: 01 Feb 2022 13:51
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.gca.2021.12.007
Open Archives Initiative ID (OAI ID):

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