Häggi, Christoph 
; Naafs, B. David A.; Silvestro, Daniele ; Bertassoli Junior, Dailson José ; Akabane, Thomas Kenji ; Mendes, Vinícius Ribau ; Sawakuchi, André Oliveira ; Chiessi, Cristiano Mazur ; Jaramillo, Carlos A.; Feakins, Sarah J.
Fonte: Geochimica et Cosmochimica Acta. Unidades: IGC, EACH
Assuntos: TEMPERATURA, PRECIPITAÇÃO ATMOSFÉRICA, VEGETAÇÃO, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HÄGGI, Christoph et al. GDGT distribution in tropical soils and its potential as a terrestrial paleothermometer revealed by Bayesian deep-learning models. Geochimica et Cosmochimica Acta, v. 362, n. , p. 41-64, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.gca.2023.09.014. Acesso em: 30 abr. 2024.APA
Häggi, C., Naafs, B. D. A., Silvestro, D., Bertassoli Junior, D. J., Akabane, T. K., Mendes, V. R., et al. (2023). GDGT distribution in tropical soils and its potential as a terrestrial paleothermometer revealed by Bayesian deep-learning models. Geochimica et Cosmochimica Acta, 362( ), 41-64. doi:10.1016/j.gca.2023.09.014NLM
Häggi C, Naafs BDA, Silvestro D, Bertassoli Junior DJ, Akabane TK, Mendes VR, Sawakuchi AO, Chiessi CM, Jaramillo CA, Feakins SJ. GDGT distribution in tropical soils and its potential as a terrestrial paleothermometer revealed by Bayesian deep-learning models [Internet]. Geochimica et Cosmochimica Acta. 2023 ; 362( ): 41-64.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1016/j.gca.2023.09.014Vancouver
Häggi C, Naafs BDA, Silvestro D, Bertassoli Junior DJ, Akabane TK, Mendes VR, Sawakuchi AO, Chiessi CM, Jaramillo CA, Feakins SJ. GDGT distribution in tropical soils and its potential as a terrestrial paleothermometer revealed by Bayesian deep-learning models [Internet]. Geochimica et Cosmochimica Acta. 2023 ; 362( ): 41-64.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1016/j.gca.2023.09.014
