The Alliance of Bioversity International and CIAT

Today’s global challenges of poverty, malnutrition, climate change, land degradation, and biodiversity loss call for new research, solutions, innovations, and stronger partnerships that can deliver higher impact. To respond to these challenges, and building on their complementary mandates and long collaboration, Bioversity International and the International Center for Tropical Agriculture (CIAT) have joined forces to create an Alliance.

The Alliance delivers research-based solutions that harness agricultural biodiversity and sustainably transform food systems to improve people’s lives.

To do so, the Alliance works with local, national and multinational partners across Latin America and the Caribbean, Asia and Africa, and with the public and private sectors. With partners, the Alliance generates evidence and mainstreams innovations in large-scale programmes to create food systems and landscapes that sustain the planet, drive prosperity and nourish people.

Featured Dataverses

In order to use this feature you must have at least one published or linked 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

51 to 60 of 276 Results
Dec 18, 2024
Bodjrenou, Fifali Sam Ulrich; Termote, Celine; Koukou, Elie; Amoussa Hounkpatin, Waliou; Mitchodigni, Medeme Irene; Ntandou Bouzitou, Gervais Deleuze, 2024, "Children's dietary data from Food Africa Project conducted in the communes of Bopa and Houeyogbe, Benin", https://doi.org/10.7910/DVN/JZLEXB, Harvard Dataverse, V1, UNF:6:wtPHBS0x1K/7iKP0MAgnCQ== [fileUNF]
The purpose of this study is to assess Infant and young children's feeding practices and explore how they meet energy and nutrient intake requirements. Also, this study aims to explore the dietary contribution of local biodiversity to children's diets in the communes of Bopa and Houeyogbe, Benin. Methodology:Data were collected using surveys. Multi...
Dec 18, 2024
Koukou, Elie; Bodjrenou, Fifali Sam Ulrich; Yanausse Bello, Faick Moctar; Amoussa Hounkpatin, Waliou; Termote, Celine, 2024, "Food and Nutrition knowledge Attitudes and Practices (KAP) of public primary school children in the communes of Cotonou, Abomey-Calavi and Sèmè-Kpodji", https://doi.org/10.7910/DVN/OMEX8K, Harvard Dataverse, V1, UNF:6:5Xi/bLyJ3Vq6HAAoCUGE7g== [fileUNF]
This study targeted public primary school children in the third, fourth and fifth grades in the communes of Cotonou, Abomey-Calavi and Sèmè-Kpodji. The purpose is to assess their food and nutrition knowledge, attitudes and practices.This study targeted public primary school children in the third, fourth and fifth grades in the communes of Cotonou,...
Dec 18, 2024
Ulzen, Jacob; Van Etten, Jacob; Dorado Betancourt, Hugo Andres; Osei Bonsu, Nana Oduro; Bush, George, 2024, "Accuracy in agricultural citizen science: farmers’ assessment of harvest output in Ghana", https://doi.org/10.7910/DVN/6VTLGD, Harvard Dataverse, V1, UNF:6:e75IN7epeO7eLPnOA0w3Nw== [fileUNF]
This study aims to assess methods for farmer-led yield estimation in decentralized on-farm trials, addressing whether farmers can accurately collect data. Key research questions involve evaluating yield estimation techniques and farmer accuracy without extensive training.This study aims to assess methods for farmer-led yield estimation in decentral...
Dec 18, 2024
Dittmer, Kyle Michael; Rose, Sabrina Catherine; Khatri-Chhetri, Arun; Stier, Melina; Trang, Vu Hong; Nelson, Katherine, 2024, "Agricultural sub-sectors in new and updated NDCs: 2020-2024", https://doi.org/10.7910/DVN/4PO5Z0, Harvard Dataverse, V1
Data presented here are the result of an analysis of agricultural sub-sectors within new and updated NDCs. This analysis covers 176 new or updated NDCs submitted as of November 30, 2024. NDCs are available for download at https://www4.unfccc.int/sites/NDCStaging/Pages/All.aspx. This analysis does not include first round NDCs that were not updated....
Dec 18, 2024
Cardoso Arango, Juan Andres; Mayorga Cobos, Mildred Julieth, 2024, "Data on impact of soil compaction, drought and their combination on vertical root distribution, morphological traits, and soil water patterns in Urochloa hybrids", https://doi.org/10.7910/DVN/GDQBQ1, Harvard Dataverse, V1, UNF:6:8yu3LIROhrTx4n4TJfgfnA== [fileUNF]
Urochloa grasses are typically grown in rain-fed systems, where soil compaction and water limitation (drought) significantly reduce their productivity. Deep roots are a key trait in these grasses, allowing them to access water from soil layers at depth during droughts, which helps to prevent water stress (Cardoso et al., 2015). However, soil compac...
Dec 16, 2024
Termote, Celine; Aluso, Lillian Olimba; Akingbemisilu, Tosin Harold, 2024, "Diverse seeds and planting materials supporting farm resilience, inclusive value chains and healthy diets in a sustainable food system - Quantitative evaluation of community seed bank initiative among indirect beneficiaries in Vihiga County, Kenya (November 2023)", https://doi.org/10.7910/DVN/WX6RCV, Harvard Dataverse, V1, UNF:6:1CJUZ6zWfAySSRtmiJ8KqA== [fileUNF]
This project adopts a participatory research approach aimed at empowering communities to take collective action for the conservation and utilization of diverse seeds and crops, to ultimately enhance farm and dietary diversity, contributing to improved nutrition, livelihoods, and incomes. The study specifically evaluates the impact of the community...
Dec 16, 2024
Richards, Meryl; Costa Junior, Ciniro, 2024, "Agricultural greenhouse gas emission factors [SAMPLES Database]", https://doi.org/10.7910/DVN/I8X0RK, Harvard Dataverse, V1, UNF:6:a2YNsuq6YIZHyIYBHjC36Q== [fileUNF]
This document contains agriculture emission factors collected between 2000 and 2020 from published datasets that was housed on the Standard Assessment of Agricultural Mitigation Potential and Livelihoods (SAMPLES) website managed by the former CGIAR Research Program Climate Change, Agriculture and Food Security (CCAFS). Users were able to download...
Evidence for Resilient Agriculture Dataverse(Alliance of Bioversity International and CIAT)
Nov 28, 2024Research Lever 3: Climate Action Dataverse
Nov 28, 2024
Ruiz Hurtado, Andres Felipe; Perez Bolanos, Juliana; Arrechea Castillo, Darwin Alexis; Matiz Rubio, Natalia; Costa Junior, Ciniro; Arango Mejia, Jacobo; Cardoso Arango, Juan Andrés, 2024, "Dataset: Census of individual trees of Hacienda San Jose Vichada (2023)", https://doi.org/10.7910/DVN/NMX9VE, Harvard Dataverse, V1
This dataset contains information of estimated individual trees in Hacienda San José (HSJ), Vichada-Colombia extracted from remote sensing imagery processed using AI models and the TreeEyed QGIS Plugin. The dataset includes a CSV file with attributes related to tree dimensions and geolocation and a shapefile with polygons representing each tree. Me...
Nov 28, 2024
Ruiz-Hurtado, Andres Felipe; Perez Bolanos, Juliana; Arrechea-Castillo, Darwin Alexis; Matiz Rubio, Natalia; Costa Junior, Ciniro; Arango Mejia, Jacobo; Cardoso Arango, Juan Andrés, 2024, "Dataset: Census of individual trees of Tucunare Vichada (2023)", https://doi.org/10.7910/DVN/JRLV83, Harvard Dataverse, V1, UNF:6:HywdYMwehgo088UT16E2fw== [fileUNF]
This dataset contains information of estimated individual trees in Tucunaré, Vichada-Colombia extracted from remote sensing imagery processed using AI models and the TreeEyed QGIS Plugin. The dataset includes a CSV file with attributes related to tree dimensions and geolocation and a shapefile with polygons representing each tree. Methodology:The t...
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.