10.7910/DVN/INK5IM 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-Barón, Deissy Deissy Martínez-Barón https://orcid.org/0000-0003-2317-8760 International Center for Tropical Agriculture - CIAT; Climate Change, Agriculture and Food Security - CCAFS Suchini, José Gabriel José Gabriel Suchini Centro Agronómico Tropical de Investigación y Enseñanza - CATIE 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) 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 2019-12-11 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 10.7910/DVN/INK5IM/SCUPA1 10.7910/DVN/INK5IM/W7ANRJ 10.7910/DVN/INK5IM/CPMWRH 10.7910/DVN/INK5IM/JWLDWK 10.7910/DVN/INK5IM/K86HOV 10.7910/DVN/INK5IM/MTVYAM 10.7910/DVN/INK5IM/TL4SU2 10.7910/DVN/INK5IM/DS8FYO 10.7910/DVN/INK5IM/LVEFXI 10.7910/DVN/INK5IM/HXWXPK 10.7910/DVN/INK5IM/VSVCOH 10.7910/DVN/INK5IM/FPIQ5V 10.7910/DVN/INK5IM/0KSRCR 10.7910/DVN/INK5IM/NDIWNP 10.7910/DVN/INK5IM/HSLTQW 10.7910/DVN/INK5IM/7UM0ZO 10.7910/DVN/INK5IM/QSUVGT 10.7910/DVN/INK5IM/99ZGHD 10.7910/DVN/INK5IM/WHDKL9 10.7910/DVN/INK5IM/3ZTKEC 10.7910/DVN/INK5IM/AERJFK 10.7910/DVN/INK5IM/GCCAIM 128681 11080 1438918 11350 12663 8170 3772 4329 37376 90102 1713076 59801 71582 55010 167616 232960 3376306 62273 519 604234 93184 33280 text/tab-separated-values text/tab-separated-values application/pdf text/tab-separated-values text/tab-separated-values text/tab-separated-values text/tab-separated-values text/tab-separated-values application/vnd.ms-excel text/tab-separated-values application/pdf text/tab-separated-values application/vnd.openxmlformats-officedocument.wordprocessingml.document text/tab-separated-values text/tab-separated-values application/msword application/pdf text/tab-separated-values text/tab-separated-values application/pdf application/vnd.ms-excel application/vnd.ms-excel 2.1 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 Santa Rita Climate Smart Village (Honduras) 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). This framework proposes standard Descriptive Indicators to track changes in: <ul> <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 labour)?</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 Santa Rita Village, Honduras ("El Mirador", "Tierra Fria No", "Rastrojitos", "Vado Ancho", "La Arada", “La Hermosura", or "Aldea Nueva"). Implementation was carried out by locally trained enumerators using the Geofarmer Smart Monitoring App for data collection. The initial sample target was ca. 140 households, including the ones covered in the initial CCAFS Baseline (HBS). A total of 256 individuals were sampled: 69 adult females, 84 adult males (age of 35 or above) 58 young females and 45 young males (under age of 35). Two persons were surveyed from each household. Note: 18 respondents were from households with two household heads. These entries have not been removed from the responses sheet. CCAFS Flagship 2 Climate Smart Technologies and Practices funds 2018 G135