Skip to main content

Dataverse

Looking for the numbers behind our science? Browse through our datasets, or search by key terms.

Food Trees Project (World Agroforestry Center)
This projects main purpose is to develop and test innovative approaches to diversify the diets and livelihoods of the target beneficiaries for improved nutritional outcomes and to contribute to long term, inter-generational development goals. The project has been designed to use nutrition-sensitive agroforestry research for development to generate sound evidence and proof of application of the proposed activities and interventions. The project outputs and activities are founded with strong links to; i) a participatory community approach for developing the capacity of the target beneficiaries (and project partners) for long-term sustainability and ownership, ii) a behaviour change strategy to improve the knowledge and awareness of nutrition and beneficial agroforestry practices by designing and deploying IEC tools, and (iii) food and nutrition interventions based on the promotion of locally available and culturally acceptable agricultural-biodiversity, namely through food trees. This last link represents trees and agroforestry as a nexus of the agriculture-nutrition and health paradigm and as a pathway to a number of Intermediate Development Outcomes (IDOs) and the Science Level Outcomes (SLOs) of the Consultative Group on International Agricultural Research (CGIAR).
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.

Find Advanced Search

11 to 20 of 47 Results
R Syntax - 79.9 KB - MD5: d299610e87215137a0270452c67a8081
R Script for the Food Trees Project Socioeconomic, farm production and food tree species diversity and richness: Preliminary data cleaning, development of indicators and data analysis: Laikipia County, Tharaka-Nithi County and Kitui County
Plain Text - 141.6 KB - MD5: 4e2629d8c0d2d1732e14ab02717dbf72
Update R Script for Data Documentation of the Food Trees Project Data: data cleaning, transformation and analysis and visualization
Tab-Delimited - 5.3 MB - MD5: 69539aa28dfe211605c03b6ee9a89e08
End-line food trees farm and nutrition data merged
PNG Image - 693.8 KB - MD5: 98e4c956be58119d6d7ce0121a7e00ee
Food Trees Final Map for Project Sites in Kenya
Unknown - 29.4 KB - MD5: 111f50d057ab3fdc090e85e4bdbecc39
CodeDocumentation
R Script for Cleaning Food Trees Diversity Data
7Z Archive - 496.3 KB - MD5: 585c8191e22e537fa08ccfe21eb68af7
Food Trees Datasets from Laikipia, Tharaka-Nithi, Kitui and Kwale
7Z Archive - 74.6 KB - MD5: 0b93de527e31e8382dfe2eddb63350ff
Food Trees FGD Data in Uganda
MS Word - 71.1 KB - MD5: 8f72b228a993be8cb494ce5473fad889
Food Trees Project Nutrition and Consumption Questionnaire
Tab-Delimited - 34.0 KB - MD5: 3b46c6057d737dbd48d14497855e2d8a
FTP Endline Nutrition and Consumption Data ODK Tool
Tab-Delimited - 35.8 KB - MD5: fc707077905fd2e51d842081b755f77e
FTP Endline Farm Data ODK Tool
Add Data

Sign up or 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.

Contact World Agroforestry (ICRAF) Support

World Agroforestry (ICRAF) Support

Please fill this out to prove you are not a robot.

+ =