201 to 210 of 276 Results
Jul 15, 2021 - CCAFS - Climate Change, Agriculture and Food Security Dataverse
Bonilla-Findji, Osana; Eitzinger, Anton; Andrieu, Nadine; Jarvis, Andy; Recha, John; Ambaw, Gebermedihin; Tadesse, Meron, 2020, "2019 - CSA Monitoring: Doyogena Climate-Smart Village (Ethiopia)", https://doi.org/10.7910/DVN/DOPMQY, Harvard Dataverse, V5, UNF:6:rR3ohzp3CbHOynEIAkRCfw== [fileUNF]
This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Doyogena Climate Smart Village (Ethiopia) in October 2019. This monitoring framework developed by CCAFS is meant to be deployed annually across the global network of Climate-Smart Villages to gather field-base... |
Jul 9, 2021
Eitzinger, Anton, 2021, "Call metadata from: Data collection smart and simple: Evaluation and metanalysis of call data from studies applying the 5Q approach", https://doi.org/10.7910/DVN/CMIVQK, Harvard Dataverse, V1, UNF:6:aTPzvwoE//9DukVU8y+gug== [fileUNF]
The original research publication that uses the dataset evaluated the application of the 5Q approach (5Q) combined with interactive voice response (IVR) call campaigns for agile data collection. The dataset includes 37’503 call metadata from 102 IVR call campaigns and among five countries. The dataset provides insights to call status, average call... |
Jul 2, 2021 - IFPRI Dataverse
International Food Policy Research Institute (IFPRI), 2021, "Replication Data for: Trade-Offs and Synergies Associated With Maize Leaf Stripping Within Crop-Livestock Systems in Northern Ghana", https://doi.org/10.7910/DVN/NMFEFS, Harvard Dataverse, V1, UNF:6:bpkxkmypGIMzLCE22HGtEw== [fileUNF]
The dataset contains the data and scripts required to generate the tables and figures in the article titled "Trade-offs and synergies associated with maize leaf stripping within crop-livestock systems in Northern Ghana." |
Jun 29, 2021 - CCAFS - Climate Change, Agriculture and Food Security Dataverse
CGIAR research program on Climate Change, Agriculture and Food Security, 2021, "CCAFS Midline Household Survey Ghana GH01", https://doi.org/10.7910/DVN/ZXBP6W, Harvard Dataverse, V1
This dataset contains results of the household survey carried out in the CCAFS research site in northern Ghana in 2018. This midline exercise used the same survey instrument as the baseline survey for comparability. Topics covered include demographics, farm characteristics, food security, climate information, group membership and asset ownership. |
Apr 21, 2021
Nyawira, Sylvia Sarah, 2021, "Harvest data for 6 cowpeas and 6 maize farms in sandy soils in Makueni County, Kenya", https://doi.org/10.7910/DVN/KTJPFI, Harvard Dataverse, V2, UNF:6:4TjNBFZUG0nAraz1U4ZQ+g== [fileUNF]
The data shows the harvested yield in 6 maize farms and 6 cowpeas farms in Mtito Andei- Makueni County. The data was collected in 3 plots in each farm to compare crop productivity in sandy soils plots installed with the sub-surface water retaining technology (SWRT) against plots without this technology. 2 of the plots are installed with SWRT (plot... |
Apr 16, 2021
Kimani, Lucy; Mutua, John; Notenbaert, An, 2021, "Current and future forage suitability maps for Zambia", https://doi.org/10.7910/DVN/CG7YCI, Harvard Dataverse, V1
This data shows modeled forage suitability under current (2010) and future climatic conditions (2050) in Zambia. |
Apr 12, 2021 - CCAFS - Climate Change, Agriculture and Food Security Dataverse
Hammond, James; van Wijk, Mark; Milner, Daniel; Recha, John; Ambaw, Gebermedihin; Abera, Wuletawu; Desta, Lulseged; Tesfaye, Abonesh; Nigussie, Abebe; Dawit, Solomon; Thornton, Philip, 2021, "2021 - IFAD-EU/CCAFS CSA Monitoring: Basona Werana & Doyogena Climate-Smart Villages, Ethiopia. Rural Household Multi-Indicator Survey (RHoMIS)", https://doi.org/10.7910/DVN/44WG4W, Harvard Dataverse, V2, UNF:6:0Drq22npbp5g0ap+Lg+WFQ== [fileUNF]
This dataset contains the responses from a household survey of 795 farmers in the Woredas of Basona Worena and Doyogena (Ethiopia). Interviewees were from villages which had and had not benefited from the CCAFS climate-smart village program, intended for comparison purposes. The survey was conducted using the Rural Household Multi-Indicator Survey... |
Mar 31, 2021
Julen, Lynnn, 2021, "The personal food environment and its influences on the consumption of neglected and underutilised plant species in the region of Atacora (northern Benin)", https://doi.org/10.7910/DVN/NLFH6Z, Harvard Dataverse, V1, UNF:6:HCG9wk8e5Omi5BPqgjuMAQ== [fileUNF]
Although the African continent is considered as the most diverse region in the world in terms of wild and cultivated foods, especially Sub-Saharan Africa remains the world’s most food in-secure region. Regarding the requirements for healthy and nutritious diets, the potentials of many edible plant species remain unexploited. To better understand th... |
Mar 31, 2021
Wabi, Faroukou; Boedecker, Julia, 2021, "Ethnobotanical evaluation and agro-morphological of eleven priority plant species for food security in northwestern Benin, northwest Benin.", https://doi.org/10.7910/DVN/XQFHHW, Harvard Dataverse, V1, UNF:6:9Zxo04jskoARQkMSe86Ksg== [fileUNF]
One of the scourges that Benin suffers from is food insecurity. Thus the role of local food diversity in improving this scourge becomes obvious. This study focused on the ethnobotanical aspect and agronomic characterization of eleven species considered a priority for ensuring food security in northwestern Benin. The overall goal was to assess the e... |
Mar 31, 2021
Boedecker, Julia; Lachat, Carl; Hawwash, Dana; Van Damme, Patrick; Nowicki, Marisa; Termote, Céline, 2021, "Pathways to diverse diets – a retrospective analysis of a participatory nutrition-sensitive project in Kenya", https://doi.org/10.7910/DVN/21L3TX, Harvard Dataverse, V1, UNF:6:fM3ubYyXfT3pMlhM359QIw== [fileUNF]
This study is based on a community-based participatory project, running in Kenya since 2015 and aiming to diversify diets of women and children by making use of local food biodiversity. An impact study indicated that dietary diversity of women and children increased through the project. Using a theoretical agriculture-nutrition framework, we assess... |