751 to 760 of 800 Results
14 oct. 2022 - RTBfoods Project
Adesokan, Michael; Maziya-Dixon, Busie; Alamu , Emmanuel, 2022, "Instrumental textural data for boiled yam in Ibadan, Nigeria", https://doi.org/10.18167/DVN1/8ZHOIX, CIRAD Dataverse, V1, UNF:6:v1NNcrYCZwUAyKf+SB24tw== [fileUNF]
This dataset contains instrumental textural data of boiled yam that was collected by IITA team in Nigeria using a standard operating procedure. |
14 oct. 2022 -
Instrumental textural data for boiled yam in Ibadan, Nigeria
Tabular Data - 2,1 KB - 2 Variables, 49 Observations - UNF:6:1M2clhZwo7ctEmVEJ+77yw==
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14 oct. 2022 -
Instrumental textural data for boiled yam in Ibadan, Nigeria
Tabular Data - 2,8 KB - 2 Variables, 49 Observations - UNF:6:OXyF2/SgUeHF8EEWS3rCKA==
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7 oct. 2022 - RTBfoods Project
Nowakunda, Kephas; Akankwasa, Kenneth; Khakasa, Elizabeth; Asasira, Moreen; Kisakye, Sarah; Arnaud, Elizabeth; Mukasa, Yusuf; Nuwamanya, Ephraim; Uwimana, Brigitte; Bugaud, Christophe; Dahdough, Layal; Bouniol, Alexandre; Ricci, Julien, 2022, "Gendered Matooke product profile in Uganda", https://doi.org/10.18167/DVN1/HQX13V, CIRAD Dataverse, V1
The WP1 Gendered Food Product Profile for Matooke in Uganda reflects the final step (step 5) of an interdisciplinary five-step methodology developed to identify demand for quality characteristics among diverse user groups along the food chain (Forsythe et al., 2022). This methodo... |
7 oct. 2022 -
Gendered Matooke product profile in Uganda
MS Excel Spreadsheet - 58,9 KB -
MD5: 15922a29415bdcc56cdc83d6c75ae864
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7 oct. 2022 - RTBfoods Project
Teeken, Bela; Olaosebikan, Olamide; Bello, Abolore; Alamu, Emmanuel; Adesokan, Michael; Kulakow, Peter; Rabbi, Ismael; Wossen, Tesfamicheal; Cole, Steve; Maziya-Dixon, Busie; Ndjouenkeu, Robert; Ngoualem Kegah, Franklin; Dufour, Dominique; Fliedel, Genivieve; Forsythe, Lora; Madu, Tessy; Chijioke, Ugo; Okoye, Benjamin; Balogun, Ireti, 2022, "Gendered Gari/Eba product profile in Nigeria", https://doi.org/10.18167/DVN1/BFO2VU, CIRAD Dataverse, V1, UNF:6:UHSHmyVVgdkaP1RcnH4WAw== [fileUNF]
The WP1 Gendered Food Product Profile for Gari-Eba in Nigeria reflects the final step (step 5) of an interdisciplinary five-step methodology developed to identify demand for quality characteristics among diverse user groups along the food chain (Forsythe et al., 2022). This metho... |
7 oct. 2022 -
Gendered Gari/Eba product profile in Nigeria
Tabular Data - 7,1 KB - 4 Variables, 30 Observations - UNF:6:UHSHmyVVgdkaP1RcnH4WAw==
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7 oct. 2022 - RTBfoods Project
Madu, Tessy; Onyemauwa, Nnaemeka; Ofoeze, Mariam; Okoye, Benjamin, 2022, "Gendered Fufu Product Profile in Nigeria", https://doi.org/10.18167/DVN1/ZIVLOH, CIRAD Dataverse, V1
"The WP1 Gendered Food Product Profile for Fufu in Nigeria reflects the final step (step 5) of an interdisciplinary five-step methodology developed to identify demand for quality characteristics among diverse user groups along the food chain (Forsythe et al., 2022). This methodol... |
7 oct. 2022 -
Gendered Fufu Product Profile in Nigeria
MS Excel Spreadsheet - 55,9 KB -
MD5: 0b88a8473ff6089e6528783e4d918fe7
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3 oct. 2022 - RTBfoods Project
Cornet, Denis; Lechaudel, Mathieu; Dossa, Komivi, 2022, "Characterization of boiled yam textural properties of a Dioscorea alata diversity panel in Guadeloupe", https://doi.org/10.18167/DVN1/0G4G28, CIRAD Dataverse, V1, UNF:6:YtrFaPC1VZa1e1/5DcIRWQ== [fileUNF]
This file contain instrumental textural data (TPA and penetrometry) of boiled yam that was collected by CIRAD team in Neufchateau, Guadeloupe. |