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Artigo de periodico
Bioactive compounds intake of the Brazilian population according to geographic region (2023)
Carnauba, Renata Alves ; Sarti, Flávia Mori ; Hassimotto, Neuza Mariko Aymoto ; Lajolo, Franco Maria
Source: Plants. Unidades: EACH, FCF
Subjects: BIODIVERSIDADE, NUTRIÇÃO, PLANTAS ALIMENTÍCIAS, FITOQUÍMICA, POPULAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARNAUBA, Renata Alves et al. Bioactive compounds intake of the Brazilian population according to geographic region. Plants, v. 12, n. 13, p. 2414 ( 01-16), 2023Tradução . . Disponível em: https://doi.org/10.3390/plants12132414. Acesso em: 03 ago. 2024.
APA
Carnauba, R. A., Sarti, F. M., Hassimotto, N. M. A., & Lajolo, F. M. (2023). Bioactive compounds intake of the Brazilian population according to geographic region. Plants, 12( 13), 2414 ( 01-16). doi:10.3390/plants12132414
NLM
Carnauba RA, Sarti FM, Hassimotto NMA, Lajolo FM. Bioactive compounds intake of the Brazilian population according to geographic region [Internet]. Plants. 2023 ; 12( 13): 2414 ( 01-16).[citado 2024 ago. 03 ] Available from: https://doi.org/10.3390/plants12132414
Vancouver
Carnauba RA, Sarti FM, Hassimotto NMA, Lajolo FM. Bioactive compounds intake of the Brazilian population according to geographic region [Internet]. Plants. 2023 ; 12( 13): 2414 ( 01-16).[citado 2024 ago. 03 ] Available from: https://doi.org/10.3390/plants12132414
Artigo de periodico
Bioactive compounds intake in the Brazilian population: Trends and determinants of socioeconomic inequalities between 2008 and 2018 (2023)
Carnauba, Renata Alves ; Sarti, Flávia Mori ; Hassimotto, Neuza Mariko Aymoto ; Lajolo, Franco Maria
Source: PLOS ONE. Unidades: EACH, FCF
Subjects: BIODIVERSIDADE, NUTRIÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARNAUBA, Renata Alves et al. Bioactive compounds intake in the Brazilian population: Trends and determinants of socioeconomic inequalities between 2008 and 2018. PLOS ONE, v. 18, n. 10, 2023Tradução . . Disponível em: https://dx.doi.org/10.1371/journal.pone.0292006. Acesso em: 03 ago. 2024.
APA
Carnauba, R. A., Sarti, F. M., Hassimotto, N. M. A., & Lajolo, F. M. (2023). Bioactive compounds intake in the Brazilian population: Trends and determinants of socioeconomic inequalities between 2008 and 2018. PLOS ONE, 18( 10). doi:10.1371/journal.pone.0292006
NLM
Carnauba RA, Sarti FM, Hassimotto NMA, Lajolo FM. Bioactive compounds intake in the Brazilian population: Trends and determinants of socioeconomic inequalities between 2008 and 2018 [Internet]. PLOS ONE. 2023 ; 18( 10):[citado 2024 ago. 03 ] Available from: https://dx.doi.org/10.1371/journal.pone.0292006
Vancouver
Carnauba RA, Sarti FM, Hassimotto NMA, Lajolo FM. Bioactive compounds intake in the Brazilian population: Trends and determinants of socioeconomic inequalities between 2008 and 2018 [Internet]. PLOS ONE. 2023 ; 18( 10):[citado 2024 ago. 03 ] Available from: https://dx.doi.org/10.1371/journal.pone.0292006
Artigo de periodico
Brazilian forest dataset: a new dataset to model local biodiversity (2022)
Rios, Ricardo Araújo ; Rios, Tatiane Nogueira; Palma, Gabriel Rodrigues ; Mello, Rodrigo Fernandes de
Source: Journal of Experimental and Theoretical Artificial Intelligence. Unidades: ICMC, ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, BIODIVERSIDADE, FLORESTAS TROPICAIS, MODELAGEM DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIOS, Ricardo Araújo et al. Brazilian forest dataset: a new dataset to model local biodiversity. Journal of Experimental and Theoretical Artificial Intelligence, v. 34, p. 327-354, 2022Tradução . . Disponível em: https://doi.org/10.1080/0952813X.2021.1871972. Acesso em: 03 ago. 2024.
APA
Rios, R. A., Rios, T. N., Palma, G. R., & Mello, R. F. de. (2022). Brazilian forest dataset: a new dataset to model local biodiversity. Journal of Experimental and Theoretical Artificial Intelligence, 34, 327-354. doi:10.1080/0952813X.2021.1871972
NLM
Rios RA, Rios TN, Palma GR, Mello RF de. Brazilian forest dataset: a new dataset to model local biodiversity [Internet]. Journal of Experimental and Theoretical Artificial Intelligence. 2022 ; 34 327-354.[citado 2024 ago. 03 ] Available from: https://doi.org/10.1080/0952813X.2021.1871972
Vancouver
Rios RA, Rios TN, Palma GR, Mello RF de. Brazilian forest dataset: a new dataset to model local biodiversity [Internet]. Journal of Experimental and Theoretical Artificial Intelligence. 2022 ; 34 327-354.[citado 2024 ago. 03 ] Available from: https://doi.org/10.1080/0952813X.2021.1871972

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