The Alliance of Bioversity International and CIAT Dataverse

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.

Research Lever 1: Food Environment and Consumer Behavior Dataverse

Research Lever 2: Multifunctional Landscapes Dataverse

Research Lever 3: Climate Action Dataverse

Research Lever 4: Biodiversity for Food and Agriculture Dataverse

Research Lever 5: Digital Inclusion Dataverse

Research Lever 6: Crops for Nutrition and Health Dataverse

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221 to 230 of 276 Results

Individual food comsumption data - Vihiga Baseline Assessment 2018 Dec 21, 2020 Oduor, Francis Odhiambo; Termote, Celine; Aluso, Lilian, 2020, "Individual food comsumption data - Vihiga Baseline Assessment 2018", https://doi.org/10.7910/DVN/5QAFFG, Harvard Dataverse, V1, UNF:6:yjMvJUAaMJm6BbB/M+4dCQ== [fileUNF] The data comes from the baseline study for a three year project aimed at at promoting community-led conservation and use of a wealth of diverse seeds to support on-farm diversity, production of year-round diverse foods, incomes and dietary quality by scaling out the positive experiences from the previous projects in more communities in Vihiga Count...
Adoption of cassava improved modern varieties in the Colombian Caribbean Region using DNA Fingerprinting Dec 21, 2020 Labarta, Ricardo A.; Becerra López Lavalle, Luis A.; Rivera, Tatiana; Alvarez, Diego A.; Martinez, Jose M.; Ovalle, Tatiana M.; Calle, Fernando, 2020, "Adoption of cassava improved modern varieties in the Colombian Caribbean Region using DNA Fingerprinting", https://doi.org/10.7910/DVN/N32FZV, Harvard Dataverse, V1, UNF:6:c2gXWuD3vtRASSBbA1TrXw== [fileUNF] This dataset provides a description of cassava farmers collected in the Colombian Caribbean Region in 2017. The survey was implemented using a structured questionnaire administered among 395 households, collecting data at both household and plot level. Survey information includes household socio-demographic characteristics, cassava management pract...
Adoption of cassava improved modern varieties in the Cauca department in Colombia using DNA fingerprinting Dec 21, 2020 Floro, Victorino O.; Labarta, Ricardo A.; Becerra López Lavalle, Luis A.; Martinez, Jose M.; Ovalle, Tatiana M.; Rivera, Tatiana; Alvarez, Diego A.; Calle, Fernando; Ocampo, John, 2020, "Adoption of cassava improved modern varieties in the Cauca department in Colombia using DNA fingerprinting", https://doi.org/10.7910/DVN/6PXEXQ, Harvard Dataverse, V1, UNF:6:CXxcq+2BEwBfOx8cwriSpw== [fileUNF] This dataset provides a description of cassava farmers collected in the Colombian Cauca Department during 2014-2015. The survey was implemented using a structured questionnaire administered among 217 households, collecting data at both household and plot level. Survey information includes household socio-demographic characteristics, cassava managem...
Latin American and Caribbean population database Nov 18, 2020 Hyman, Glenn Graham; Castano, Silvia-Elena; López, Rosalba; Cuero, Alexander; Nagles, Carlos; Barona Adarve, Elizabeth; Perez, Liliana; Jones, Peter, 2020, "Latin American and Caribbean population database", https://doi.org/10.7910/DVN/AF4KGI, Harvard Dataverse, V1 The population of Latin America and the Caribbean increased from 175 million in 1950 to 515 million in 2000. Where did this growth occur? What is the magnitude of change in different places? How can we visualize the geographic dimensions of population change in Latin America and the Caribbean? We compiled census and other public domain information...
Genetic architecture and genomic prediction of cooking time in common bean (Phaseolus vulgaris L.) Nov 13, 2020 Diaz, Santiago; Ariza-Suarez, Daniel; Ramdeen, Raisa; Aparicio Arce, Johan Steven; Arunachalam, Nirmala; Hernandez Lira, Juan Carlos; Diaz, Harold; Ruiz Guzman, Henry Alonso; Piepho, Hans-Peter; Raatz, Bodo, 2020, "Genetic architecture and genomic prediction of cooking time in common bean (Phaseolus vulgaris L.)", https://doi.org/10.7910/DVN/B3YLRF, Harvard Dataverse, V1, UNF:6:Zhk8LSztbd3+OfcV1gnNyQ== [fileUNF] These datasets contain phenotypic and genotypic data of a MAGIC population, DOR364 x G19833 biparental population, VEF panel and MIP panel. The main goal for these populations is to be used for genetic analysis and applications in breeding and breeding tool development, as well as information for basic research questions aiming to uncover the genet...
Supplementary datasets for: Crop wild relatives of the United States require urgent conservation action Nov 12, 2020 Khoury, Colin K.; Carver, Daniel, 2020, "Supplementary datasets for: Crop wild relatives of the United States require urgent conservation action", https://doi.org/10.7910/DVN/BV4I06, Harvard Dataverse, V1 Here we develop a national inventory of CWR of the United States, wherein taxa are classified based on current knowledge of their relation to agricultural crops and their significance as wild food sources. We use occurrence information combined with climatic and topographic data to model the potential distributions of 600 prioritized native wild ta...
Survey data on income, food security, and dietary behavior among women and children from households of differing socio-economic status in urban and peri-urban areas of Nairobi, Kenya Nov 3, 2020 Nyakundi, Fridah; Lung'aho, Mercy; Chege, Christine Kiria; Ndung'u, John; Nungo, Rhoda; Karanja, David, 2020, "Survey data on income, food security, and dietary behavior among women and children from households of differing socio-economic status in urban and peri-urban areas of Nairobi, Kenya", https://doi.org/10.7910/DVN/3JZKBO, Harvard Dataverse, V2, UNF:6:IgUZKxxC8622RtOhjiMOdw== [fileUNF] This data was collected in the context of a Cultivate Africa's Future (CultiAF) project on pre-cooked beans led by the Kenya Agricultural and Livestock Research Organization (KALRO) and Uganda's National Research Organization (NARO). A cross-sectional household survey that was carried out to assess key access constraints to nutritious foods among u...
Raw data: Physiological and genetic characterization of heat stress effects in a common bean RIL population Oct 30, 2020 Vargas, Yulieth; Mayor-Duran, Victor Manuel; Buendia, Hector Fabio; Ruiz-Guzman, Henry Alonso; Raatz, Bodo, 2020, "Raw data: Physiological and genetic characterization of heat stress effects in a common bean RIL population", https://doi.org/10.7910/DVN/KXIDBW, Harvard Dataverse, V1, UNF:6:bi6cYJPpYuI00AjUHjoH3w== [fileUNF] Physiological and genetic characterization of heat stress effects in a common bean RIL population
Sustainable livestock development in low and middle income countries – shedding light on evidence-based solutions: systematic literature search and expert survey Oct 6, 2020 Paul, Birthe; Butterbach-Bahl, Klaus; Notenbaert, An; Nduah, Alex Nderi; Ericksen, Polly, 2020, "Sustainable livestock development in low and middle income countries – shedding light on evidence-based solutions: systematic literature search and expert survey", https://doi.org/10.7910/DVN/CDVOJ1, Harvard Dataverse, V1, UNF:6:ddjUztwow/WULAOFyryXLQ== [fileUNF] This dataset consists of two types of data that were used in the analysis for the perspective paper ‘Sustainable livestock development in low and middle income countries – shedding light on evidence-based solutions’: i) a sub-set of results of a systematic literature search in the Web of Science to take stock of the global distribution of research...
Socio-economic baseline survey data of 20 villages in Kitui district, Kenya in 2009 Sep 8, 2020 Morimoto, Yasuyuki; Maundu, Patrick; Imbumi, Maryam; Kariuki, Lucy; Tumbo, Dominic, 2020, "Socio-economic baseline survey data of 20 villages in Kitui district, Kenya in 2009", https://doi.org/10.7910/DVN/94JTZY, Harvard Dataverse, V1, UNF:6:bmFpvdhQRk3dLgjG0/zM2A== [fileUNF] This is a baseline survey data that was collected within the project ‘Managing agricultural biodiversity for better nutrition and health, improved livelihoods and more sustainable production systems in sub-Saharan Africa’ implemented by Bioversity International. The survey was conducted in Kitui District in Eastern Province of Kenya between 14 July...

Individual food comsumption data - Vihiga Baseline Assessment 2018

Dec 21, 2020

Oduor, Francis Odhiambo; Termote, Celine; Aluso, Lilian, 2020, "Individual food comsumption data - Vihiga Baseline Assessment 2018", https://doi.org/10.7910/DVN/5QAFFG, Harvard Dataverse, V1, UNF:6:yjMvJUAaMJm6BbB/M+4dCQ== [fileUNF]

The data comes from the baseline study for a three year project aimed at at promoting community-led conservation and use of a wealth of diverse seeds to support on-farm diversity, production of year-round diverse foods, incomes and dietary quality by scaling out the positive experiences from the previous projects in more communities in Vihiga Count...

Adoption of cassava improved modern varieties in the Colombian Caribbean Region using DNA Fingerprinting

Dec 21, 2020

Labarta, Ricardo A.; Becerra López Lavalle, Luis A.; Rivera, Tatiana; Alvarez, Diego A.; Martinez, Jose M.; Ovalle, Tatiana M.; Calle, Fernando, 2020, "Adoption of cassava improved modern varieties in the Colombian Caribbean Region using DNA Fingerprinting", https://doi.org/10.7910/DVN/N32FZV, Harvard Dataverse, V1, UNF:6:c2gXWuD3vtRASSBbA1TrXw== [fileUNF]

This dataset provides a description of cassava farmers collected in the Colombian Caribbean Region in 2017. The survey was implemented using a structured questionnaire administered among 395 households, collecting data at both household and plot level. Survey information includes household socio-demographic characteristics, cassava management pract...

Adoption of cassava improved modern varieties in the Cauca department in Colombia using DNA fingerprinting

Dec 21, 2020

Floro, Victorino O.; Labarta, Ricardo A.; Becerra López Lavalle, Luis A.; Martinez, Jose M.; Ovalle, Tatiana M.; Rivera, Tatiana; Alvarez, Diego A.; Calle, Fernando; Ocampo, John, 2020, "Adoption of cassava improved modern varieties in the Cauca department in Colombia using DNA fingerprinting", https://doi.org/10.7910/DVN/6PXEXQ, Harvard Dataverse, V1, UNF:6:CXxcq+2BEwBfOx8cwriSpw== [fileUNF]

This dataset provides a description of cassava farmers collected in the Colombian Cauca Department during 2014-2015. The survey was implemented using a structured questionnaire administered among 217 households, collecting data at both household and plot level. Survey information includes household socio-demographic characteristics, cassava managem...

Latin American and Caribbean population database

Nov 18, 2020

Hyman, Glenn Graham; Castano, Silvia-Elena; López, Rosalba; Cuero, Alexander; Nagles, Carlos; Barona Adarve, Elizabeth; Perez, Liliana; Jones, Peter, 2020, "Latin American and Caribbean population database", https://doi.org/10.7910/DVN/AF4KGI, Harvard Dataverse, V1

The population of Latin America and the Caribbean increased from 175 million in 1950 to 515 million in 2000. Where did this growth occur? What is the magnitude of change in different places? How can we visualize the geographic dimensions of population change in Latin America and the Caribbean? We compiled census and other public domain information...

Genetic architecture and genomic prediction of cooking time in common bean (Phaseolus vulgaris L.)

Nov 13, 2020

Diaz, Santiago; Ariza-Suarez, Daniel; Ramdeen, Raisa; Aparicio Arce, Johan Steven; Arunachalam, Nirmala; Hernandez Lira, Juan Carlos; Diaz, Harold; Ruiz Guzman, Henry Alonso; Piepho, Hans-Peter; Raatz, Bodo, 2020, "Genetic architecture and genomic prediction of cooking time in common bean (Phaseolus vulgaris L.)", https://doi.org/10.7910/DVN/B3YLRF, Harvard Dataverse, V1, UNF:6:Zhk8LSztbd3+OfcV1gnNyQ== [fileUNF]

These datasets contain phenotypic and genotypic data of a MAGIC population, DOR364 x G19833 biparental population, VEF panel and MIP panel. The main goal for these populations is to be used for genetic analysis and applications in breeding and breeding tool development, as well as information for basic research questions aiming to uncover the genet...

Supplementary datasets for: Crop wild relatives of the United States require urgent conservation action

Nov 12, 2020

Khoury, Colin K.; Carver, Daniel, 2020, "Supplementary datasets for: Crop wild relatives of the United States require urgent conservation action", https://doi.org/10.7910/DVN/BV4I06, Harvard Dataverse, V1

Here we develop a national inventory of CWR of the United States, wherein taxa are classified based on current knowledge of their relation to agricultural crops and their significance as wild food sources. We use occurrence information combined with climatic and topographic data to model the potential distributions of 600 prioritized native wild ta...

Survey data on income, food security, and dietary behavior among women and children from households of differing socio-economic status in urban and peri-urban areas of Nairobi, Kenya

Nov 3, 2020

Nyakundi, Fridah; Lung'aho, Mercy; Chege, Christine Kiria; Ndung'u, John; Nungo, Rhoda; Karanja, David, 2020, "Survey data on income, food security, and dietary behavior among women and children from households of differing socio-economic status in urban and peri-urban areas of Nairobi, Kenya", https://doi.org/10.7910/DVN/3JZKBO, Harvard Dataverse, V2, UNF:6:IgUZKxxC8622RtOhjiMOdw== [fileUNF]

This data was collected in the context of a Cultivate Africa's Future (CultiAF) project on pre-cooked beans led by the Kenya Agricultural and Livestock Research Organization (KALRO) and Uganda's National Research Organization (NARO). A cross-sectional household survey that was carried out to assess key access constraints to nutritious foods among u...

Raw data: Physiological and genetic characterization of heat stress effects in a common bean RIL population

Oct 30, 2020

Vargas, Yulieth; Mayor-Duran, Victor Manuel; Buendia, Hector Fabio; Ruiz-Guzman, Henry Alonso; Raatz, Bodo, 2020, "Raw data: Physiological and genetic characterization of heat stress effects in a common bean RIL population", https://doi.org/10.7910/DVN/KXIDBW, Harvard Dataverse, V1, UNF:6:bi6cYJPpYuI00AjUHjoH3w== [fileUNF]

Physiological and genetic characterization of heat stress effects in a common bean RIL population

Sustainable livestock development in low and middle income countries – shedding light on evidence-based solutions: systematic literature search and expert survey

Oct 6, 2020

Paul, Birthe; Butterbach-Bahl, Klaus; Notenbaert, An; Nduah, Alex Nderi; Ericksen, Polly, 2020, "Sustainable livestock development in low and middle income countries – shedding light on evidence-based solutions: systematic literature search and expert survey", https://doi.org/10.7910/DVN/CDVOJ1, Harvard Dataverse, V1, UNF:6:ddjUztwow/WULAOFyryXLQ== [fileUNF]

This dataset consists of two types of data that were used in the analysis for the perspective paper ‘Sustainable livestock development in low and middle income countries – shedding light on evidence-based solutions’: i) a sub-set of results of a systematic literature search in the Web of Science to take stock of the global distribution of research...

Socio-economic baseline survey data of 20 villages in Kitui district, Kenya in 2009

Sep 8, 2020

Morimoto, Yasuyuki; Maundu, Patrick; Imbumi, Maryam; Kariuki, Lucy; Tumbo, Dominic, 2020, "Socio-economic baseline survey data of 20 villages in Kitui district, Kenya in 2009", https://doi.org/10.7910/DVN/94JTZY, Harvard Dataverse, V1, UNF:6:bmFpvdhQRk3dLgjG0/zM2A== [fileUNF]

This is a baseline survey data that was collected within the project ‘Managing agricultural biodiversity for better nutrition and health, improved livelihoods and more sustainable production systems in sub-Saharan Africa’ implemented by Bioversity International. The survey was conducted in Kitui District in Eastern Province of Kenya between 14 July...

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