Replication Data for: Smallholder farmers’ attitudes and determinants of adaptation to climate risks in East Africa
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The objective of organizing this dataset was to measure farmers’ attitudes and assess determinants of adaptation to climate risks in East Africa. This dataset comprises information about farmers’ adaptation strategies to climate risks in four CCAFS sites in east Africa, namely Nyando, Kenya; Hoima, Uganda; Lushoto, Tanzania; and Borana, Ethiopia. Data were collected via personal interviews by trained enumerators using pre-designed and pre-tested questionnaires. The variables contained in the dataset come from a baseline survey that was conducted by the CGIAR program on Climate Change, Agriculture, and Food Security (CCAFS) in 2010 and a follow up survey by the International Center for Tropical Agriculture (CIAT) in 2012. The variables include farmer and household characteristics such as age, education, sex, household size; adaptation st' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Adaptation","Africa","Attitudes","Climate risks","Data","Decision and Policy Analysis - DAPA","East Africa","Soils"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The objective of organizing this dataset was to measure farmers’ attitudes and assess determinants of adaptation to climate risks in East Africa. This dataset comprises information about farmers’ adaptation strategies to climate risks in four CCAFS sites in east Africa, namely Nyando, Kenya; Hoima, Uganda; Lushoto, Tanzania; and Borana, Ethiopia. Data were collected via personal interviews by trained enumerators using pre-designed and pre-tested questionnaires. The variables contained in the dataset come from a baseline survey that was conducted by the CGIAR program on Climate Change, Agriculture, and Food Security (CCAFS) in 2010 and a follow up survey by the International Center for Tropical Agriculture (CIAT) in 2012. The variables include farmer and household characteristics such as age, education, sex, household size; adaptation st' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The objective of organizing this dataset was to measure farmers’ attitudes and assess determinants of adaptation to climate risks in East Africa. This dataset comprises information about farmers’ adaptation strategies to climate risks in four CCAFS sites in east Africa, namely Nyando, Kenya; Hoima, Uganda; Lushoto, Tanzania; and Borana, Ethiopia. Data were collected via personal interviews by trained enumerators using pre-designed and pre-tested questionnaires. The variables contained in the dataset come from a baseline survey that was conducted by the CGIAR program on Climate Change, Agriculture, and Food Security (CCAFS) in 2010 and a follow up survey by the International Center for Tropical Agriculture (CIAT) in 2012. The variables include farmer and household characteristics such as age, education, sex, household size; adaptation st
Adaptation; Africa; Attitudes; Climate risks; Data; Decision and Policy Analysis - DAPA; East Africa; Soils