CIAT Datasets
Permanent URI for this collectionhttps://hdl.handle.net/10568/72970
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Item Rural livelihood diversification decreases vulnerability to climate change in the Andean-Amazon foothills(Dataset, 2020-04) Beltrán, Lucila Marcela; Cruz García, Gisella S.; Pradhan, Prajal; Quintero, MarcelaA total of 256 surveys were analyzed for Caquetá and 227 surveys forYurimaguas. These surveys belong to the project "Sustainable Amazonian Landcapes" ( see below Related Datasets). All the households that participated in the survey did it freely and under prior informed consent. Households were asked about their farms’ agrobiodiversity (crops, cattle ranching, and pastoral diversity), farming activities, agroecological management practices and livelihood assets. These surveys provided the information required for defining the household typologies based on farming livelihood diversification and to obtain indicators of vulnerability to climate change. People surveyed usually were household heads or their spouses. The supervisors were the direct link with CIAT. The data was collected through Android Devices using the software CsPro 6.2 and 6.3. (Reporte Interno)Item Willingness to Pay for Quality Seeds: Field Experimental and Survey Data, Tanzania Bean Study, 2015-16(Dataset, 2019) Mywish K., Maredia; Shupp, Robert; Mishili, Fulgence; Reyes, Byron A.; Kusolwa, Paul; Kudra, AbdulThis dataset includes results of double blind field experiments and experimental auctions conducted with bean farmers in Tanzania to gauge the relative demand for four types of seed products--i.e., certified 1, certified 2, quality declared, and recycled seed. Files include data on: a) farmer rating of the four seed quality types planted in the farmer managed field demonstration plots; b) farmer’s bid on these four seed quality types during the seed auction experiments conducted on the second field day before harvest; c) farmer survey data; and d) field experiment yield data. (2019-04-27).Item Replication Data for: Genomic prediction of agronomic traits in common bean under environmental stress(Dataset, 2020) Keller, Beat; Ariza-Suárez, Daniel; Hoz, Juan Fernando de la; Aparicio, Johan Steven; Portilla Benavides, Ana Elisabeth; Buendia, Hector Fabio; Mayor, Victor Manuel; Studer, Bruno; Raatz, BodoThese datasets contain phenotypic and genotypic data of a panel of elite Andean breeding lines of common bean (Phaseolus vulgaris L.) from CIAT. This population has been tested in twelve yield trials carried out in Palmira and Darien (Colombia) between 2013 and 2018 to assess its performance under irrigated, drought and variable soil P conditions. These trials were laid out in the field with an alpha-lattice experimental design using two to three replicates, and a non-replicated trial in 2016. Meteorological data for these trials is also provided. Different agronomic traits were evaluated including Days to Flowering (DF), Days to Physiological Maturity (DPM), 100 seed weight (100SdW) and Yield (Yd). The agronomic performance of the population was modeled using linear mixed models with spatial correction. From these models, best linear unbiased estimators (BLUEs) and their corresponding standard errors (SE) were obtained. This population was genotyped by sequencing (GBS) using the ApeKI-based restriction digestion. The genotypic data is presented in a variant call format (VCF) file of 5,820 SNPs and 481 lines. The genotypic matrix was imputed using Beagle (v4.1). These datasets were used to test genomic prediction models on the panel in order to assess their prediction ability under different scenarios and parameter settings.Item Vietnam and Indonesia daily climate data (precipitation and temperature) per sub-geographical units 2000-2018(Dataset, 2020-01-22) Achicanoy Estrella, Harold Armando; Mora, Brayan; Ramírez Villegas, Julián Armando; Prager, Steven D.Daily climate data (precipitation and temperature) for Vietnam and Indonesia per sub-geographical units during the period 2000-2018Item Global Upland Rice Area 2019(Dataset, 2019-08-09) Saito, Kazuki; Laborte, Alice G.; Graterol Matute, Eduardo JoseEstimates of total and upland rice cultivation areas in Africa, Asia and Latin America.Item Land Degradation Surveillance Framework Based Data(Dataset, 2019-10-03) International Center for Tropical Agriculture; International Livestock Research Institute; Mekelle UniversityThe data included in this study were collected as a part of 'situation analysis' based on landscape characteristics and condition. The data were collected in four Africa RISING sites—Basona, Michew, Jawe, and Sinana—across four regions simultaneously with the soil sampling exercise.Item Soil Property Data for Four Africa RISING Sites in Ethiopia(Dataset, 2019-10-04) International Center for Tropical AgricultureThe data included in this study were collected to assess the health of the soil at four Africa RISING sites: Basona, Michew, Jawe, and Sinana. The data were collected following land degradation surveillance framework (LDSF) whereby within a 10km by 10km sites, we considered 16 clusters of 1km by 1km and within each cluster we have 0.1 ha plots, within which 0.01 ha subplots were located for sampling. International Center for Tropical Agriculture (CIAT) led the data collection. (2015)Item Sustainable food systems global index(Dataset, 2019-02-21) Achicanoy Estrella, Harold Armando; Álvarez, Patricia; Béné, Christophe; Prager, Steven D.; Lamotte, Lea; Bonilla, CamilaAssess and measure the food system sustainability worldwide in a robust and consistent manner (2019-02-21)Item 2017- CSA Monitoring: Lawra-Jirapa Climate-Smart Village (Ghana)(Dataset, 2019-12-20) Bonilla Findji, Osana; Eitzinger, Anton; Andrieu, Nadine; Jarvis, Andrew; Ouédraogo, Mathieu; Zougmoré, Robert B.; Nyuor, Anslem Bawayelaazaa; Saaka Buah, Samuelhis dataset contains the files produced in the pilot implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Lawra-Jirapa Climate Smart Village (Uganda) in October 2017. This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Hoima Climate Smart Village (Uganda) in October 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:Item Replication Data for: Recommendation domains to scale out climate change adaptation in cocoa production in Ghana(Dataset, 2019-12-20) Bunn, Christian; Quaye, Amos; Läderach, Peter R.D.; Muilerman, Sander; Noponen, Martin; Lundy, Mark M.Cacao suitability data for Ghana, baseline (1950 - 2000) and future (2040 - 2069) trajectories. The future trajectory was modeled under an RCP 6.0 climate scenario. (2019-12-17)Item 2018- CSA Monitoring: Hoima Climate-Smart Village (Uganda)(Dataset, 2019-12-20) Bonilla Findji, Osana; Eitzinger, Anton; Andrieu, Nadine; Jarvis, Andrew; Recha, John W.M.; Ambaw, Gebermedihin; Kakeeto, RonaldThis dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Hoima Climate Smart Village (Uganda) in October 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:Item 2018 - CSA Monitoring: Tuma La Dalia Climate-Smart Village (Nicaragua)(Dataset, 2019-12-18) Bonilla Findji, Osana; Eitzinger, Anton; Andrieu, Nadine; Jarvis, Andrew; Martínez Barón, Deissy; Aguilar, AmílcarThis 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:Item 2018- CSA Monitoring: Santa Rita Climate Smart-Village (Honduras)(Dataset, 2019-12-18) Bonilla Findji, Osana; Eitzinger, Anton; Andrieu, Nadine; Jarvis, Andrew; Martínez Barón, Deissy; Suchini, José GabrielThis 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. 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:Item 2018- CSA Monitoring – Olopa Climate Smart-Village (Guatemala)(Dataset, 2019-12-18) Bonilla Findji, Osana; Eitzinger, Anton; Andrieu, Nadine; Jarvis, Andrew; Martínez Barón, DeissyThis 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. 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:Item 2018- CSA Monitoring – Cauca Climate Smart-Village (Colombia)(Dataset, 2019-12-18) Bonilla Findji, Osana; Eitzinger, Anton; Andrieu, Nadine; Jarvis, Andrew; Martínez Barón, Deissy; Ortega, Luis Alfonso; Mañunga, JimmyThis dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Cauca Climate Smart Village (Colombia) in February 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:Item Global map and indicators of food system sustainability(Data Paper, 2019-11-25) Béné, Christophe; Prager, Steven D.; Achicanoy Estrella, Harold Armando; Álvarez Toro, Patricia; Lamotte, Lea; Bonilla, Camila; Mapes, Brendan RobertThis paper presents the first global map of food systems sustainability based on a rigorous protocol. The choice of the metric dimensions, as well as the individual indicators included in the metric, were initially identified from a thorough review of the existing literature. A rigorous inclusion/exclusion protocol was then used to refine the list and shorten it to a sub-set of 27 indicators. An aggregate sustainability score was then computed based on those 27 indicators organized into four dimensions: environment, social, food security & nutrition and economic. The paper shows how the availability of data (or lack therefore) results in an unavoidable trade-off between number of indicators and number of countries, and highlights how optimization can be used to present the most robust metric possible given the existence of this trade-offs in the data space. The process results in the computation of a global sustainability map covering 97 countries and 20 indicators. The sustainability scores obtained for each country are made available over the entire range of indicators.Item An integrated approach for understanding the factors that facilitate or constrain the adoption of soil carbon enhancing practices in East Africa, specifically Western Kenya(Dataset, 2019-11-14) Karanja Ng'ang'a, Stanley; George Magambo, Kanyenji; Anyango Jalang'o, Dorcas; Nguru, Wilson Maina; Girvetz, Evan HartunianThe survey data on soil carbon enhancing practices in western Kenya is systematically organized in Microsoft Excel tables. The data entails general household characteristics, plot characteristics, practices implemented, yield, inputs, livestock ownership, social capital, access to credit, access to extension services and sources of income.Item Survey data on the costs and benefits of livestock management practices in the lowlands of Ethiopia(Dataset, 2019-11-14) Karanja Ng'ang'a, Stanley; Anyango Jalang'o, Dorcas; Mwungu, Chris Miyinzi; Nguru, Wilson Maina; Girvetz, Evan Hartunian; Smith, Gordon; Alemayehu, SintayehuThe survey data on costs-benefit analysis of livestock management practices in the lowlands of Ethiopia is systematically organized in Microsoft Excel tables. Each of the three land management practices, that is, rangeland improved, restoration of degraded land, and fodder cropping and poultry expansion have data contained in excel tables. The data entails general household characteristics, the region where the practices are common and activities households indulged in before and after introduction of land management practices. The data also contains costs of inputs and labour required for the land management practices; mainly for implementation, maintenance and operation. Additionally, the tables include data on products generated from the land management practices as well as their market prices.Item Modelled distributions and conservation status of the wild relatives of Chile peppers (Capsicum L.)(Dataset, 2019-11-07) Khoury, Colin K.; Carver, Daniel; Barchenger, Derek W.; Barboza, Gloria E.; Zonneveld, Maarten van; Jarret, Robert L.; Bohs, Lynn; Kantar, Michael B.; Uchanski, Mark; Mercer, Kristin; Nabhan, Gary Paul; Bosland, Paul W.; Greene, Stephanie L.Occurrence data, processed ecogeographic data, interactive taxon-level modeling and conservation status results and metrics, and journal article supplementary figures and tables, for Khoury CK, Carver D, Barchenger DW, Barboza G, van Zonneweld M, Jarret R, Bohs L, Kantar MB, Uchanski M, Mercer K, Nabhan GP, Bosland PW, and Greene SL (2019) Modelled distributions and conservation status of the wild relatives of Chile peppers (Capsicum L). Diversity and Distributions. Doi: 10.1111/DDI.13008. https://doi.org/10.1111/DDI.13008 (2018-06)Item An integrated approach for understanding the factors that facilitate or constrain the adoption of soil carbon enhancing practices in East Africa, Kenya and Ethiopia(Dataset, 2019-11-07) Karanja Ng'ang'a, Stanley; Gelaw, Fekadu; Nguru, Wilson Maina; Magambo Kanyenji, George; Girvetz, Evan HartunianThe survey data on soil carbon enhancing practices in Ethiopia is systematically organized in Microsoft Excel tables. The data entails general household characteristics, plot characteristics, crops grown, yield, practices implemented, inputs, livestock ownership, social capital, access to credit, access to extension services.