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The household survey was done in the four municipalities that are part of two landscape units from 30 March 2016 to 3 October 2016. A total of 341 households were surveyed, of which 176 (51, 6%) were from UP4 (hill) and 165 (48, 4%) from UP6 (mountainous). All the households that participated in ...


Quintero, MarcelaVanegas, MarthaPerez, LissetCamilo, KarenCruz García, Gisella S.Sachet, ErwanSosa, ChrystianCastañeda Álvarez, Nora PSuarez Salazar, Juan C.Angel, KatherineRico, AdrianSolarte, AntonioZapata, CatalinaBarrera, JaimeHermida, Marfi[Sustainable Amazonian Landcapes, Colombia socioeconomic survey]Sustainable Amazonian Landcapes, Colombia socioeconomic survey

This article provides a description of an agricultural household survey data of rice growers collected in Ecuador between October 2014 and March 2015. The household survey was implemented using a structured questionnaire administered among 1,028 households in the main rice production areas of Ecu...


Marin Salazar, Diego ArmandoOrrego-Varón, MayraYanez, FernandoMendoza, LuisGarcía, María AlejandraTwyman, JenniferAndrade, RobertLabarta, Ricardo[Household survey data of adoption of improved varieties and management practices in rice production, Ecuador.]Household survey data of adoption of improved varieties and management practices in rice production, Ecuador.

By 2013, there was remarkable achievement in Malawi in terms of bean varietal output, but information on farm level use of these varieties, their contribution to bean productivity and household food security was lacking. An ex-post study was conducted to assess the extent of adoption of improved ...


Katungi, EnidMagreta, RuthDamuleni, Kelvin[Food security impacts of improved bean varieties adoption in Malawi]Food security impacts of improved bean varieties adoption in Malawi

This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Hoima Climate Smart Village (Uganda) in October 2018. This monitoring framework developed by CCAFS is meant to be deployed annually across the global networ...

Adoption of CSA practices and technologies, as well as access to climate information services and their related impacts at household level and farm level

This framework proposes standard Descriptive Indicators to track changes in: 5 enabling dimensions that might affect adoption patterns, a set of 5 CORE indicators at Household level to assess perceived effects of CSA practices on Food Security, Productivity, Income and Climate vulnerability and 4...

This integrated framework is associated with a cost-effective data collection App (Geofarmer) that allowed capturing information in almost real time.

The survey questionnaire is structured around different thematic modules (Demographic, Livelihoods, Food Security, Climate events, Climate Services, CSA practices, Financial Services) connected to standard CSA metrics and the specific indicators.

The framework responds to three main research questions: Within each CSV community, who adopts which CSA technologies and practices and what are their motivations, enabling/constraining factors? What are the gender-disaggregated perceived effects of CSA options on farmers’ livelihood (agricultura...


Bonilla Findji, OsanaEitzinger, AntonAndrieu, NadineJarvis, AndrewRecha, John W.M.Ambaw, GebermedihinKakeeto, Ronald[2018- CSA Monitoring: Hoima Climate-Smart Village (Uganda)]2018- CSA Monitoring: Hoima Climate-Smart Village (Uganda)

his dataset contains the files produced in the pilot implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Lawra-Jirapa Climate Smart Village (Uganda) in October 2017. This dataset contains the files produced in the implementation of the “Integrated Monitori...

Adoption of CSA practices and technologies, as well as access to climate information services and Their related impacts at household level and farm leve

his framework proposes standard Descriptive Indicators to track changes in: 5 enabling dimensions that might affect adoption patterns, a set of 5 CORE indicators at Household level to assess perceived effects of CSA practices on Food Security, Productivity, Income and Climate vulnerability and 4 ...

The survey questionnaire is structured around different thematic modules (Demographic, Livelihoods, Food Security, Climate events, Climate Services, CSA practices, Financial Services) connected to standard CSA metrics and the specific indicators.

The framework responds to three main research questions: Within each CSV community, who adopts which CSA technologies and practices and what are their motivations, enabling/constraining factors? What are the gender-disaggregated perceived effects of CSA options on farmers’ livelihood (agricultura...


Bonilla Findji, OsanaEitzinger, AntonAndrieu, NadineJarvis, AndrewOuédraogo, MathieuZougmoré, Robert B.Nyuor, Anslem BSaaka Buah, Samuel[2017- CSA Monitoring: Lawra-Jirapa Climate-Smart Village (Ghana)]2017- CSA Monitoring: Lawra-Jirapa Climate-Smart Village (Ghana)

This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Tuma-La-Dalia Climate Smart Village (Nicaragua) in April 2018. This monitoring framework developed by CCAFS is meant to be deployed annually across the glob...

Adoption of CSA practices and technologies, as well as access to climate information services and Their related impacts at household level (and farm level, in selected sites).

This framework proposes standard Descriptive Indicators to track changes in: 5 enabling dimensions that might affect adoption patterns, A set of 5 CORE indicators at Household level to assess perceived effects of CSA practices on Food Security, Productivity, Income and Climate vulnerability and 4...

This integrated framework is associated with a cost-effective data collection App (Geofarmer) that allowed capturing information in almost real-time. The survey questionnaire is structured around different thematic modules (Demographic, Livelihoods, Food Security, Climate events, Climate Services...

The framework responds to three main research questions: Within each CSV community, who adopts which CSA technologies and practices and what are their motivations, enabling/constraining factors? What are the gender-disaggregated perceived effects of CSA options on farmers’ livelihood (agricultura...


Bonilla Findji, OsanaEitzinger, AntonAndrieu, NadineJarvis, AndrewMartinez- Baron, DeissyAguilar, Amílcar[2018 - CSA Monitoring: Tuma La Dalia Climate-Smart Village (Nicaragua)]2018 - CSA Monitoring: Tuma La Dalia Climate-Smart Village (Nicaragua)

This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Santa Rita Climate Smart Village (Honduras) in April 2018. This monitoring framework developed by CCAFS is meant to be deployed annually across the global n...

Adoption of CSA practices and technologies, as well as access to climate information services and Their related impacts at household level (and farm level, in selected sites)

This framework proposes standard Descriptive Indicators to track changes in: 5 enabling dimensions that might affect adoption patterns, A set of 5 CORE indicators at Household level to assess perceived effects of CSA practices on Food Security, Productivity, Income and Climate vulnerability and 4...

This integrated framework is associated with a cost-effective data collection App (Geofarmer) that allowed capturing information in almost real-time. The survey questionnaire is structured around different thematic modules (Demographic, Livelihoods, Food Security, Climate events, Climate Services...

The framework responds to three main research questions: Within each CSV community, who adopts which CSA technologies and practices and what are their motivations, enabling/constraining factors? What are the gender-disaggregated perceived effects of CSA options on farmers’ livelihood (agricultura...


Bonilla Findji, OsanaEitzinger, AntonAndrieu, NadineJarvis, AndrewMartinez- Baron, DeissySuchini, José Gabriel[2018- CSA Monitoring: Santa Rita Climate Smart-Village (Honduras)]2018- CSA Monitoring: Santa Rita Climate Smart-Village (Honduras)

This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Cauca Climate Smart Village (Colombia) in February 2018. This monitoring framework developed by CCAFS is meant to be deployed annually across the global net...

adoption of CSA practices and technologies, as well as access to climate information services and their related impacts at household level (and farm level, in selected sites).

This framework proposes standard Descriptive Indicators to track changes in: 5 enabling dimensions that might affect adoption patterns, a set of 5 CORE indicators at Household level to assess perceived effects of CSA practices on Food Security, Productivity, Income and Climate vulnerability and 4...

The framework responds to three main research questions: Within each CSV community, who adopts which CSA technologies and practices and what are their motivations, enabling/constraining factors? What are the gender-disaggregated perceived effects of CSA options on farmers’ livelihood (agricultura...


Bonilla Findji, OsanaEitzinger, AntonAndrieu, NadineJarvis, AndrewMartinez- Baron, DeissyOrtega, Luis AlfonsoMañunga, Jimmy[2018- CSA Monitoring – Cauca Climate Smart-Village (Colombia)]2018- CSA Monitoring – Cauca Climate Smart-Village (Colombia)

This article provides a description of intra-household survey data that were collected in Uganda and Tanzania in 2014 and 2015, respectively. The surveys were implemented using a structured questionnaire administered among 585 households in Uganda and 608 in Tanzania. Information on decision maki...


Mwungu, Chris MiyinziMwongera, CarolineShikuku, K.M.Nyakundi, FridahTwyman, JenniferWinowiecki, Leigh A.Ampaire, Edidah L.Acosta, MariolaLäderach, Peter[Survey data of intra-household decision making and smallholder agricultural production in northern Uganda and southern Tanzania]Survey data of intra-household decision making and smallholder agricultural production in northern Uganda and southern Tanzania

This paper describes data that were collected in three counties of western Kenya, namely Siaya, Bungoma, and Kakamega. The main aim of collecting the data was to assess the climate smartness, profitability and returns of soil protection and rehabilitation measures. The data were collected from 88...


Karanja Ng'ang'a, StanleyMwungu, Chris MiyinziMwongera, CarolineKinyua, IvyNotenbaert, An Maria OmerGirvetz, Evan H.[Survey data on cost and benefits of climate smart agricultural technologies in western Kenya]Survey data on cost and benefits of climate smart agricultural technologies in western Kenya

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