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 ; Feakins, Sarah
Fonte: Geochimica et Cosmochimica Acta. Unidades: IGC, EACH
Assuntos: TEMPERATURA, PRECIPITAÇÃO ATMOSFÉRICA, VEGETAÇÃO, APRENDIZADO COMPUTACIONAL
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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: 03 nov. 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 C, Feakins S. 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 nov. 03 ] 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 C, Feakins S. 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 nov. 03 ] Available from: https://doi.org/10.1016/j.gca.2023.09.014
