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

Authors/Creators:
Keywords: Branched GDGTs; Global temperature calibration; Soil; Peat; Machine learning
Dates:
  • Accepted: 7 December 2021
  • Published (online): 16 December 2021
  • Published: 1 February 2022
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:
FunderGrant 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: https://doi.org/10.1016/j.gca.2021.12.007

Download not available

A full text copy of this item is not currently available from White Rose Research Online

Share / Export

Statistics