Metrics
59 836 Downloads
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

361 to 370 of 809 Results
Tabular Data - 2,4 KB - 4 Variables, 26 Observations - UNF:6:rScB9OHoji/1FHng56bMZw==
3 oct. 2022 - RTBfoods Project
Nakitto, Mariam, 2022, "Descriptive sensory analysis data for fried sweetpotato in Uganda", https://doi.org/10.18167/DVN1/P0R0HG, CIRAD Dataverse, V1, UNF:6:RWWe+HbIpuUIzt9y3bghQg== [fileUNF]
This file contains descriptive sensory data of fried sweetpotato that was collected using panel trained following a standardized methodology. The data was collected by CIP team in Uganda using a procedure explained in Sensory characteristics and consumer segmentation of fried swe...
Tabular Data - 2,3 KB - 4 Variables, 26 Observations - UNF:6:RWWe+HbIpuUIzt9y3bghQg==
3 oct. 2022 - RTBfoods Project
Chijioke, Ugo, 2022, "Instrumental textural data for Fufu in Nigeria", https://doi.org/10.18167/DVN1/RFZMLC, CIRAD Dataverse, V1, UNF:6:bsIKlx5jFgqnkfgAvHmL2g== [fileUNF]
Fufu is one of the popular fermented products processed from cassava roots and it is widely consumed in Nigeria and other West African countries. This file contains instrumental textural data of Fufu that was collected by NRCRI team in Nigeria using a standard operating procedure...
Tabular Data - 2,8 KB - 2 Variables, 49 Observations - UNF:6:bsIKlx5jFgqnkfgAvHmL2g==
3 oct. 2022 - RTBfoods Project
Ategbayo, Bolanle; Tanimola, Abiola; Oluinka, Oroniran, 2022, "Instrumental textural data for pounded yam in Nigeria", https://doi.org/10.18167/DVN1/M9RYBD, CIRAD Dataverse, V1, UNF:6:TmQjGzOnM7b7Co8b2oJq5g== [fileUNF]
These files contain instrumental textural data of pounded yam that was collected by Bowen University team in Nigeria using a standard operating procedure.
Tabular Data - 2,9 KB - 2 Variables, 49 Observations - UNF:6:QkKEsr87L/pU/xY7XpassA==
Tabular Data - 2,9 KB - 2 Variables, 49 Observations - UNF:6:98wJf9VqJ9poEMjM7+5rSg==
3 oct. 2022 - RTBfoods Project
Adesokan, Michael; Maziya-Dixon, Busie; Alamu, Emmanuel, 2022, "Descriptive sensory analysis data for boiled yam in Nigeria", https://doi.org/10.18167/DVN1/KYSGDG, CIRAD Dataverse, V1, UNF:6:SxYUqpvm3RWgw6Hoi1MA5g== [fileUNF]
This file contains descriptive sensory data of boiled yam that was collected using panel trained following a standardized methodology. The data was collected by IITA team in Nigeria using RTBfoods standard operating procedures developed in work package 2 for the use by trained se...
Tabular Data - 2,3 KB - 4 Variables, 26 Observations - UNF:6:SxYUqpvm3RWgw6Hoi1MA5g==
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.