Insect antifeedant benzofurans from Pericallis specie [Dataset]

Figures S1–S2: 1H-NMR and 13C-NMR of compound 1a; Figure S3: 13C-NMR of compound 2; Figures S4–S5: 13C-NMR of compounds 4–5; Figures S6–S7: 1H-NMR an 13C-NMR of compound 7a; Figures S8–S10: 13C-NMR of compounds 8–10; Figures S11–S20: 1H-NMR and 13C-NMR of compounds 11–14 and 15–16; Figure S21: 1H-NMR of compound 17; Figures S22–S27: 1H-NMR and 13C-NMR of compounds 18,18a and 19.

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Main Authors: Díaz, Carmen E., Fraga, Braulio M., Portero, Adriana G., Brito, Iván, López-Balboa, Carmen, Ruiz-Vásquez, Liliana, González-Coloma, Azucena
Other Authors: Díaz, Carmen E. [0000-0003-1992-3545]
Format: dataset biblioteca
Language:English
Published: Multidisciplinary Digital Publishing Institute 2023-01-18
Online Access:http://hdl.handle.net/10261/359238
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spelling dig-ipna-es-10261-3592382024-06-03T09:46:06Z Insect antifeedant benzofurans from Pericallis specie [Dataset] Díaz, Carmen E. Fraga, Braulio M. Portero, Adriana G. Brito, Iván López-Balboa, Carmen Ruiz-Vásquez, Liliana González-Coloma, Azucena Díaz, Carmen E. [0000-0003-1992-3545] González-Coloma, Azucena [0000-0001-5124-664X] Figures S1–S2: 1H-NMR and 13C-NMR of compound 1a; Figure S3: 13C-NMR of compound 2; Figures S4–S5: 13C-NMR of compounds 4–5; Figures S6–S7: 1H-NMR an 13C-NMR of compound 7a; Figures S8–S10: 13C-NMR of compounds 8–10; Figures S11–S20: 1H-NMR and 13C-NMR of compounds 11–14 and 15–16; Figure S21: 1H-NMR of compound 17; Figures S22–S27: 1H-NMR and 13C-NMR of compounds 18,18a and 19. Peer reviewed 2024-06-03T09:46:06Z 2024-06-03T09:46:06Z 2023-01-18 dataset Díaz, Carmen E.; Fraga, Braulio M.; Portero, Adriana G.; Brito, Iván; López-Balboa, Carmen; Ruiz-Vásquez, Liliana; González-Coloma, Azucena; 2023; Insect antifeedant benzofurans from Pericallis specie [Dataset]; MDPI; https://www.mdpi.com/article/10.3390/molecules28030975/s1 Supplementary Materials for Marine Drugs 28(3): 975 (2023) http://hdl.handle.net/10261/359238 10.3390/molecules28030975/s1 1660-3397 en Díaz, Carmen E.; Fraga, Braulio M.; Portero, Adriana G.; Brito, Iván; López-Balboa, Carmen; Ruiz-Vásquez, Liliana; González-Coloma, Azucena. Insect antifeedant benzofurans from Pericallis specie. https://doi.org/10.3390/molecules28030975. http://hdl.handle.net/10261/310206 https://www.mdpi.com/article/10.3390/molecules28030975/s1 Sí open application/pdf Multidisciplinary Digital Publishing Institute
institution IPNA ES
collection DSpace
country España
countrycode ES
component Bibliográfico
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libraryname Biblioteca del IPNA España
language English
description Figures S1–S2: 1H-NMR and 13C-NMR of compound 1a; Figure S3: 13C-NMR of compound 2; Figures S4–S5: 13C-NMR of compounds 4–5; Figures S6–S7: 1H-NMR an 13C-NMR of compound 7a; Figures S8–S10: 13C-NMR of compounds 8–10; Figures S11–S20: 1H-NMR and 13C-NMR of compounds 11–14 and 15–16; Figure S21: 1H-NMR of compound 17; Figures S22–S27: 1H-NMR and 13C-NMR of compounds 18,18a and 19.
author2 Díaz, Carmen E. [0000-0003-1992-3545]
author_facet Díaz, Carmen E. [0000-0003-1992-3545]
Díaz, Carmen E.
Fraga, Braulio M.
Portero, Adriana G.
Brito, Iván
López-Balboa, Carmen
Ruiz-Vásquez, Liliana
González-Coloma, Azucena
format dataset
author Díaz, Carmen E.
Fraga, Braulio M.
Portero, Adriana G.
Brito, Iván
López-Balboa, Carmen
Ruiz-Vásquez, Liliana
González-Coloma, Azucena
spellingShingle Díaz, Carmen E.
Fraga, Braulio M.
Portero, Adriana G.
Brito, Iván
López-Balboa, Carmen
Ruiz-Vásquez, Liliana
González-Coloma, Azucena
Insect antifeedant benzofurans from Pericallis specie [Dataset]
author_sort Díaz, Carmen E.
title Insect antifeedant benzofurans from Pericallis specie [Dataset]
title_short Insect antifeedant benzofurans from Pericallis specie [Dataset]
title_full Insect antifeedant benzofurans from Pericallis specie [Dataset]
title_fullStr Insect antifeedant benzofurans from Pericallis specie [Dataset]
title_full_unstemmed Insect antifeedant benzofurans from Pericallis specie [Dataset]
title_sort insect antifeedant benzofurans from pericallis specie [dataset]
publisher Multidisciplinary Digital Publishing Institute
publishDate 2023-01-18
url http://hdl.handle.net/10261/359238
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