211 to 220 of 276 Results
Mar 11, 2021
Díaz, Manuel; Burkart, Stefan, 2021, "Environmental Awareness and Attitudes among Students: Survey Evidence from Colombia and Nicaragua", https://doi.org/10.7910/DVN/DAYUIL, Harvard Dataverse, V1, UNF:6:aoQDNB1RFUFb/+au8nDPMA== [fileUNF]
During 2016 and 2017, we collected data from students of higher education in Colombia and Nicaragua with the objective of identifying social perceptions about global climate change (GCC). For this purpose, we used a survey composed of: Knowledge of climate change, personal efficacy, trust, environmental behavior and New Environmental Paradigm (NEP)... |
Mar 8, 2021 - CIAT - International Center for Tropical Agriculture Dataverse
Enciso, Karen; Burkart, Stefan, 2020, "Replication Data for: Consumer Preferences and Market Segmentation for Differentiated Beef with Less Environmental Impact", https://doi.org/10.7910/DVN/FMGTQF, Harvard Dataverse, V2, UNF:6:1QP7sQYCNlbVUtWiLKSlbQ== [fileUNF]
The aim of this study was to define consumer segments interested in purchasing beef with less environmental impact (derived from production systems with improved forages) and to determine their willingness to pay (WTP) for such products. A semi-structured questionnaire was applied to a total of 354 randomly selected meat consumers in Cali (Valle de... |
Mar 8, 2021
Charry, Andrés; Enciso, Karen; Díaz, Manuel; Burkart, Stefan, 2021, "Replication Data for: Sustainable intensification of beef production in Colombia—chances for product differentiation and price premiums", https://doi.org/10.7910/DVN/CJQWGU, Harvard Dataverse, V1, UNF:6:3sbcVayTjguGjlaMFopJ6Q== [fileUNF]
The aim of this study was to define consumer segments interested in purchasing beef with less environmental impact (derived from production systems with improved forages) and to determine their willingness to pay (WTP) for such products. A semi-structured questionnaire was applied to a total of 354 randomly selected meat consumers in Cali (Valle de... |
Feb 23, 2021
Notenbaert, An; Mukiri, Jessica; Van der Hoek, Rein; Paul, Birthe; Koge, Jessica; Birnholz, Celine, 2021, "CLEANED X - Version 3.0.1", https://doi.org/10.7910/DVN/4EB5XT, Harvard Dataverse, V1
This is the third version of CLEANED (Comprehensive Livestock Environmental Assessment for Improved Nutrition, a Secured Environment, and Sustainable Development along Livestock and Fish Value Chains) Excel tool. This tool is a rapid ex-ante environmental impact assessment tool that allows users to explore multiple impacts of developing livestock v... |
Feb 22, 2021
Elias, Marlene; Vinceti, Barbara; Traoré, Alain; Traoré, Daouda, 2021, "Gender and generational dynamics in land restoration amid male outmigration – Evidence from Burkina Faso", https://doi.org/10.7910/DVN/FICKTK, Harvard Dataverse, V2, UNF:6:p3QCcD1eWRdtbSUYX6BDWQ== [fileUNF]
The purpose of the study is evidence base to support or debunk current understandings of the feminization of agriculture and its impact on women’s agency in rural agricultural systems. Main research questions: 1. Are/how are patterns of decision-making, labour, knowledge and capacities that underpin the restoration of degraded lands shifting across... |
Feb 12, 2021 - IFPRI Dataverse
HarvestPlus, International Food Policy Research Institute (IFPRI), 2021, "Rwanda High Iron Bean (HIB) Impact Assessment Survey", https://doi.org/10.7910/DVN/G2MFQP, Harvard Dataverse, V1, UNF:6:r3cY8LxRPup+TGW76Boc8Q== [fileUNF]
An impact assessment (IA) study was conducted in Rwanda in 2015 to determine the adoption and diffusion rates of high iron beans (HIB) varieties after eight seasons of active dissemination; understand HIB adoption and diffusion patterns across varieties and over time (the percentage of farmers currently planting, the percentage rate of addition, th... |
Feb 8, 2021
Diaz, Lucy Milena; Arredondo, Victoria; Ariza-Suarez, Daniel; Aparicio, Johan; Buendia, Hector Fabio; Cajiao, Cesar; Mosquera, Gloria; Beebe, Stephen E.; Mukankusi, Clare Mugisha; Raatz, Bodo, 2020, "Genetic improvement through genomic prediction for Pythium spp in lines common bean", https://doi.org/10.7910/DVN/SVA5CJ, Harvard Dataverse, V2, UNF:6:VcIxiszuuwcCsqeqPXUeog== [fileUNF]
Phenotypic and genotypic data for bean root disease and Pythium in common bean |
Jan 28, 2021
Chittarhat, Khonesavanne; Oeurn, Samoul; Lee, Hang; Trinh Xuan, Hoat; Jimenez, Jenyfer; Cuellar, Wilmer J., 2021, "SLCMV and CMD-field survey dataset using a standard BSP for Cambodia, Laos and Vietnam", https://doi.org/10.7910/DVN/YNV5DL, Harvard Dataverse, V1, UNF:6:Om6M5J/iPT92DoEq84Ngug== [fileUNF]
Standard surveillance and diagnostic protocols need to be evaluated and implemented at regional level, for early warning and coordination of rapid responses among neighbor countries. This dataset provides a description of 2020 surveillance data for cassava mosaic disease (CMD) in Laos, East Cambodia and Northern Vietnam, indicating location of the... |
Jan 22, 2021
Chase, Rachel; Dita Rodriguez, Miguel; Ekesa, Beatrice; Omondi, Aman; Zheng, Sijun; Roux, Nicolas, 2021, "Covid impacts on banana producing countries – survey June 2020", https://doi.org/10.7910/DVN/G9FHGM, Harvard Dataverse, V1, UNF:6:daENldHQ0ZqgrsmS0DDsoQ== [fileUNF]
We carried out a survey to determine the impacts of Covid 19 on the banana industry in banana producing countries through our regional networks |
Jan 18, 2021
Imbach Bartol, Pablo Andres; Manrow, M; Barona Adarve, Elizabeth; Barretto, Alberto G O P; Hyman, Glenn Graham, 2020, "Spatial and temporal contrasts in the distribution of crops and pastures across Amazonia: A new agricultural land use data set from census data since 1950: Crops and pastures across Amazonia", https://doi.org/10.7910/DVN/7J9WVY, Harvard Dataverse, V2, UNF:6:2rXW/pdn0KU82kxxWQAyVA== [fileUNF]
Amazonia holds the largest continuous area of tropical forests with intense land use change dynamics inducing water, carbon, and energy feedbacks with regional and global impacts. Much of our knowledge of land use change in Amazonia comes from studies of the Brazilian Amazon, which accounts for two thirds of the region. Amazonia outside of Brazil h... |