Datasets published by the Decision and Policy Analysis (DAPA) Research Area of the International Center for Tropical Agriculture (CIAT).
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

81 to 90 of 91 Results
May 15, 2015 - CIAT - International Center for Tropical Agriculture Dataverse
Ovalle, Oriana; Läderach, Peter; Bunn, Christian; Obersteiner, Michael; Schroth, Götz, 2015, "Replication Data for: Projected shifts in Coffea arabica suitability among major global producing regions due to climate change", https://doi.org/10.7910/DVN/29634, Harvard Dataverse, V3
The dataset has 2194 coffee location points. Most of the data came from projects developed by the International Center for Tropical Agriculture (CIAT) in collaboration with other research centers and producer cooperatives. We modeled the global distribution of Arabica coffee under changes in climatic suitability by 2050s as projected by 21 global c...
May 15, 2015 - CIAT - International Center for Tropical Agriculture Dataverse
Hyman, Glenn; Fujisaka, Sam; Jones, Peter G; Wood, Stanley; Vicente, M. Carmen de; Dixon, John, 2015, "Replication Data for: Strategic approaches to targeting technology generation: Assessing the coincidence of poverty and drought-prone crop production", https://doi.org/10.7910/DVN/ACXHHB, Harvard Dataverse, V1, UNF:6:bhVICfZ84NP2cwJJ+cHiOg== [fileUNF]
The world’s poorest and most vulnerable farmers on the whole have not benefited from international agricultural research and development. Past efforts have tried to increase the production of countries in more favourable environments; farmers with relatively higher potential for improvement benefited most from these advances. Current and future cro...
May 13, 2015 - CIAT - International Center for Tropical Agriculture Dataverse
Gourdji, Sharon; Läderach, Peter; Martinez Valle, Armando; Zelaya Martinez, Carlos; Lobell, David B, 2015, "Replication Data for: Historical climate trends, deforestation, and maize and bean yields in Nicaragua", https://doi.org/10.7910/DVN/29206, Harvard Dataverse, V1, UNF:6:px5p6Y7tf6Rn+QVXHjMDdQ== [fileUNF]
Nicaragua has already experienced substantial climate change, in part due to a loss of one half of its forest cover in the last half-century. In this study, we assess the extent to which historical climate trends have contributed to stagnating yields for maize (Zea mays) and bean (Phaseolus vulgaris), the two main staple crops in the country. We fi...
Mar 3, 2015 - CIAT - International Center for Tropical Agriculture Dataverse
Herrera Campo, Beatriz Vanessa; Hyman, Glenn; Bellotti, Anthony, 2014, "Replication data for: Threats to cassava production: known and potential geographic distribution of four key biotic constraints", https://doi.org/10.7910/DVN/27490, Harvard Dataverse, V4
The potential distribution map of the Cassava Greenmite is the result of a weighted overlay combination of several ecological models and a set of environmental variables. Models used were Environmental Distance, Genetic Alrgorithm for Rule-set Production and Support vector Machines . Environmental variables include: Bioclim dataset, number of conse...
Mar 3, 2015 - CIAT - International Center for Tropical Agriculture Dataverse
Jones, Peter G; Thornton, Philip K, 2014, "Failed Season drought probability", https://doi.org/10.7910/DVN/27504, Harvard Dataverse, V2
This map estimates the drought probability based on the water balance and simulated daily rainfall. A failed season occurs when there is insufficient water to meet crop requirements. The failed season algorithm (FSA) has been used in a number of application including Hyman et al. 2008.
Mar 3, 2015 - CIAT - International Center for Tropical Agriculture Dataverse
International Center for Tropical Agriculture, 2014, "Climate Regions of Cassava in Africa", https://doi.org/10.7910/DVN/27503, Harvard Dataverse, V2
Cassava climate regions is based on means growing season temperature, number of dry season months, daily temperature range and seasonality.
Nov 6, 2014 - CIAT - International Center for Tropical Agriculture Dataverse
Läderach, Peter; Martinez Valle, Armando; Schroth, Götz; Castro, N, 2014, "Replication Data for: Predicting the future climatic suitability for cocoa farming of the leading producer countries, Ghana and Ivory Coast.", https://doi.org/10.7910/DVN/27779, Harvard Dataverse, V1
Data for current and future suitability for cocoa farming of the world's leading producer countries, Ghana and Ivory Coast. Based on species distribution modelling: MaxEnt.
Oct 19, 2014 - CIAT - International Center for Tropical Agriculture Dataverse
Castañeda Álvarez, Nora P; Khoury, Colin K; Sosa, Chrystian C; Achicanoy, Harold A; Bernau, Vivian, 2014, "Germplasm Collection Gaps and Species Richness of Wild Relatives of Important Root, Tuber and Banana Crops.", https://doi.org/10.7910/DVN/27487, Harvard Dataverse, V4
The wild relatives of crops represent a major source of valuable traits for crop improvement. These resources are threatened by habitat destruction, land use changes, and other factors, requiring their urgent collection and long-term availability for research and breeding from ex situ collections. We propose a method to identify gaps in ex situ col...
Sep 30, 2014 - CIAT - International Center for Tropical Agriculture Dataverse
Eitzinger, Anton; Läderach, Peter; Bunn, Christian; Quiroga, Audberto; Benedikter, Andreas; Pantoja, Antonio; Gordon, Jason; Bruni, Michele, 2013, "Replication Data for: Implications of a changing climate on food security and smallholders’ livelihoods in Bogotá, Colombia", https://doi.org/10.7910/DVN/HA22TC, Harvard Dataverse, V2
In our multidisciplinary methodology, we translated the exposure to CC into direct impact on crops and assessed sensitivity and adaptive capacity using the sustainable rural livelihoods framework
May 7, 2014 - CIAT - International Center for Tropical Agriculture Dataverse
Ramirez Villegas, Julian; Challinor, Andrew J, 2014, "Assessing relevant climate data for agricultural applications", https://doi.org/10.7910/DVN/25626, Harvard Dataverse, V2
Data: Data tables with results of assessment of skill of CMIP3 global climate models as well as interpolation skill of WorldClim Study: Here we performed a review of relevant aspects in relation to coupling agriculture climate predictions, and a three-step analysis of the importance of climate.
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.