10.7910/DVN/3GICDI Bonilla-Findji, Osana Osana Bonilla-Findji https://orcid.org/0000-0002-6098-000X International Center for Tropical Agriculture - CIAT; Climate Change, Agriculture and Food Security - CCAFS Eitzinger, Anton Anton Eitzinger https://orcid.org/0000-0001-7317-3381 International Center for Tropical Agriculture - CIAT Andrieu, Nadine Nadine Andrieu https://orcid.org/0000-0001-9558-9302 Centre de coopération internationale en recherche agronomique pour le développement - CIRAD Jarvis, Andy Andy Jarvis https://orcid.org/0000-0001-6543-0798 International Center for Tropical Agriculture - CIAT; Climate Change, Agriculture and Food Security - CCAFS Martínez, Deissy Deissy Martínez https://orcid.org/0000-0003-2317-8760 International Center for Tropical Agriculture - CIAT; Climate Change, Agriculture and Food Security - CCAFS Harvard Dataverse 2019 Earth and Environmental Sciences Agricultural Sciences Monitoring Climate Smart Agriculture Households Livelihoods Adaptation Food Security Climate Shocks Latin America and the Caribbean Decision and Policy Analysis - DAPA Monitoring Climate Smart Agriculture International Center for Tropical Agriculture (CIAT), CGIAR Research Program on Climate Change, Agriculture and Food Security (Flagship 2) CGIAR Research Program on Climate Change, Agriculture and Food Security - CCAFS Climate Smart Technologies and Practices CGIAR Climate Change, Agriculture and Food Security Martinez Salgado, Jesus David Jesus David Martinez Salgado International Center for Tropical Agriculture - CIAT Bonilla-Findji, Osana Osana Bonilla-Findji International Center for Tropical Agriculture - CIAT; Climate Change, Agriculture and Food Security - CCAFS 2019-12-10 2019-12-10 2019-12-09 2019-12-11 2021-03-11 2018-04-01/2018-05-01 2017-04-01/2018-05-01 Survey data;Socio-economic Data;Geographic Data;Environmental Data;Capacity Building 10568/16426 106400 229077 96152 92672 9360934 148136 604234 72509 19677 35328 232960 844676 1712124 86745 37888 96152 10167 148136 604234 86745 12152 49152 12525 93696 6214 36352 229077 106400 1712124 72509 233984 9363354 7634 22097 844676 text/tab-separated-values text/tab-separated-values text/tab-separated-values application/vnd.ms-excel application/vnd.openxmlformats-officedocument.presentationml.presentation text/tab-separated-values application/pdf text/tab-separated-values application/vnd.openxmlformats-officedocument.wordprocessingml.document application/vnd.ms-excel application/msword application/pdf application/pdf text/tab-separated-values application/vnd.ms-excel text/tab-separated-values text/tab-separated-values text/tab-separated-values application/pdf text/tab-separated-values text/tab-separated-values application/vnd.ms-excel text/tab-separated-values application/vnd.ms-excel text/tab-separated-values application/vnd.ms-excel text/tab-separated-values text/tab-separated-values application/pdf text/tab-separated-values application/msword application/vnd.openxmlformats-officedocument.presentationml.presentation text/tab-separated-values application/vnd.openxmlformats-officedocument.wordprocessingml.document application/pdf 3.0 Creative Commons CC0 1.0 Universal Public Domain Dedication. This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Olopa Climate Smart Village (Guatemala) in April 2018. <br> This monitoring framework developed by CCAFS is meant to be deployed annually across the global network of Climate-Smart Villages to gather field-based evidence by tracking the progress on: <ul> <li type= disc> Adoption of CSA practices and technologies, as well as access to climate information services and <li type= disc> Their related impacts at household level (and farm level, in selected sites). <ul> This framework proposes standard Descriptive Indicators to track changes in: <li> 5 enabling dimensions that might affect adoption patterns, <li> 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 <li> 4 CORE indicators on Gender aspects (Participation in decision-making, Participation in implementation, Access/control over Resources and work time). <li> At farm level, 7 CORE indicators are suggested to determine farms CSA performance, as well as synergies and trade-offs among the three pillars. </ul> </ul> This integrated framework is associated with a cost-effective data collection App (Geofarmer) that allowed capturing information in almost real-time. <br> 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. <br> The framework responds to three main research questions: <ol> <li value="1">Within each CSV community, who adopts which CSA technologies and practices and what are their motivations, enabling/constraining factors?</li> <li> What are the gender-disaggregated perceived effects of CSA options on farmers’ livelihood (agricultural production, income, food security, food diversity and adaptive capacity) and on key gender dimensions (participation in decision-making, participation in CSA implementation and dis-adoption, control and access over resources and labor)?</li> <li>How does CSA perform at farm level, and what synergies and trade-offs exist (whole farm model analysis)?</li> </ol> Universe: At the time of data collection, all survey participants resided within 7 communities in Olopa Village, Guatemala ("Tituque", " Valle nuevo", " El Guayabo Tercer Caserio", " Tuticopote Abajo Caserio El Bendito", " Tuticopote Abajo Caserio El Bendito", " Nochan", or " La Prensa"). Implementation was carried out by locally trained enumerators using the Geofarmer Smart Monitoring App for data collection. The initial sample target was : 140 households, including the ones covered in the initial CCAFS Baseline (HBS). A total of 279 individuals were sampled: 93 adult females, 75 adult males (age 35 or above) 59 young females and 47 young males (under age of 35). Two adults were surveyed from each household. 5 individuals had unrecorded birth years. CCAFS Flagship 2 Climate Smart Technologies and Practices funds 2018 G135 CCAFS/CIAT contract with IDRC G151