10.7910/DVN/IAWC28 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 Aguilar, Amilcar Amilcar Aguilar https://orcid.org/0000-0002-5177-6963 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) CGIAR Climate Change, Agriculture and Food Security Climate Smart Technologies and Practices CGIAR Climate Change, Agriculture and Food Security Bonilla-Findji, Osana Osana Bonilla-Findji International Center for Tropical Agriculture - CIAT; Climate Change, Agriculture and Food Security - CCAFS Ortega, Angelly Angelly Ortega International Center for Tropical Agriculture - CIAT; Climate Change, Agriculture and Food Security - CCAFS 2019-12-10 2019-12-10 2019-12-11 2019-12-18 2018-04-16/2018-05-16 2017-04-01/2018-05-01 Survey data;Socio-economic Data;Geographic Data;Environmental Data;Capacity Building 10568/16426 10.7910/DVN/IAWC28/5KQEFW 10.7910/DVN/IAWC28/5ILFJC 10.7910/DVN/IAWC28/IQ13PV 10.7910/DVN/IAWC28/OMAHKH 10.7910/DVN/IAWC28/NTCJDV 10.7910/DVN/IAWC28/SN2UJ8 10.7910/DVN/IAWC28/UFYN4S 10.7910/DVN/IAWC28/2R0UJF 10.7910/DVN/IAWC28/YDIWZN 10.7910/DVN/IAWC28/Q6258C 10.7910/DVN/IAWC28/WQPECP 10.7910/DVN/IAWC28/BYDL2K 10.7910/DVN/IAWC28/UZCJYW 10.7910/DVN/IAWC28/EGFN3C 10.7910/DVN/IAWC28/HHNHUP 10.7910/DVN/IAWC28/ZQZPIT 10.7910/DVN/IAWC28/KXE0GQ 10.7910/DVN/IAWC28/FGPYXY 10.7910/DVN/IAWC28/FRJ0NB 10.7910/DVN/IAWC28/SIMOIB 10.7910/DVN/IAWC28/HIW2H3 10.7910/DVN/IAWC28/MLCXEV 10.7910/DVN/IAWC28/FNLLTW 10.7910/DVN/IAWC28/LNEPIO 10.7910/DVN/IAWC28/XWQFDO 10.7910/DVN/IAWC28/FPFXEV 10.7910/DVN/IAWC28/4Y3YXH 10.7910/DVN/IAWC28/HLZFYZ 2686 1104138 12608 95967 336442 36864 511 3737 17997 10655 4854 97280 19645 232960 14635 72981 19938 1714982 4320 604234 5820 4129 633 78331 110568 95134 9387 4033785 text/tab-separated-values application/pdf text/tab-separated-values text/tab-separated-values text/tab-separated-values application/vnd.ms-excel text/tab-separated-values text/tab-separated-values text/tab-separated-values text/tab-separated-values text/tab-separated-values application/vnd.ms-excel application/vnd.openxmlformats-officedocument.wordprocessingml.document application/msword text/tab-separated-values text/tab-separated-values text/tab-separated-values application/pdf 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 text/tab-separated-values text/tab-separated-values application/pdf 1.1 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 Tuma-La-Dalia Climate Smart Village (Nicaragua) in April 2018. 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 labor)?</li> </ol> How does CSA perform at farm level, and what synergies and trade-offs exist (whole farm model analysis)? Universe: At the time of data collection, all survey participants resided within 7 communities in Olopa Village, Guatemala ("El Consuelo ", " Las Veguitas", " Hilipo", " Aguas Amarillas", " Wasaka abajo", “Guapotalito", " San Benito", or “La Primavera”). 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 262 individuals were sampled: 105 adult females, 96 adult males (age of 35 or above), 35 young females and 22 young males (under age of 35). Two adults were surveyed from each household. 4 individuals had unrecorded birth years. CCAFS Flagship 2 Climate Smart Technologies and Practices funds 2018 G135 CCAFS/CIAT contract with IDRC G151