10.7910/DVN/3GICDIBonilla-Findji, OsanaOsanaBonilla-Findji0000-0002-6098-000XInternational Center for Tropical Agriculture - CIAT; Climate Change, Agriculture and Food Security - CCAFSEitzinger, AntonAntonEitzinger0000-0001-7317-3381International Center for Tropical Agriculture - CIATAndrieu, NadineNadineAndrieu0000-0001-9558-9302Centre de coopération internationale en recherche agronomique pour le développement - CIRADJarvis, AndyAndyJarvis0000-0001-6543-0798International Center for Tropical Agriculture - CIAT; Climate Change, Agriculture and Food Security - CCAFSMartínez, DeissyDeissyMartínez0000-0003-2317-8760International Center for Tropical Agriculture - CIAT; Climate Change, Agriculture and Food Security - CCAFSHarvard Dataverse2019Agricultural SciencesEarth and Environmental SciencesMonitoringClimate Smart AgricultureHouseholdsLivelihoodsAdaptationFood SecurityClimate ShocksLatin America and the CaribbeanDecision and Policy Analysis - DAPAMonitoringClimate Smart AgricultureMartinez Salgado, Jesus DavidJesus DavidMartinez SalgadoInternational Center for Tropical Agriculture - CIATBonilla-Findji, OsanaInternational Center for Tropical Agriculture - CIAT; Climate Change, Agriculture and Food Security - CCAFSInternational 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 - CCAFSClimate Smart Technologies and PracticesCGIAR Climate Change, Agriculture and Food Security2019-12-102019-12-102019-12-092021-03-112018-04-01/2018-05-01Survey data10568/16426763493696125251215210167621417121248446762209736352604234233984936335449152725091481369615210640086745229077text/tab-separated-valuesapplication/vnd.ms-exceltext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-valuesapplication/pdfapplication/pdfapplication/vnd.openxmlformats-officedocument.wordprocessingml.documentapplication/vnd.ms-excelapplication/pdfapplication/mswordapplication/vnd.openxmlformats-officedocument.presentationml.presentationapplication/vnd.ms-exceltext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-values3.0CC0 1.0This 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 2018G135CCAFS/CIAT contract with IDRCG151