IMPORTANT: If you are interested in accessing restricted datasets, kindly fill out this data user agreement form.
Do not request access through individual datasets as those requests are not being monitored.


Africa Research in Sustainable Intensification for the Next Generation (Africa RISING): As part of the US government’s Feed the Future initiative to address global hunger and food security issues in Africa south of the Sahara, the US Agency for International Development (USAID) is supporting three multi-stakeholder agricultural research projects to sustainably intensify key African farming systems. The overall aim is to transform agricultural systems through sustainable intensification projects in West Africa and East and Southern Africa, led by the International Institute of Tropical Agriculture (IITA) and in Ethiopian Highlands, led by the International Livestock Research Institute (ILRI). The International Food Policy Research Institute leads the program’s monitoring, evaluation and impact assessment.
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 168 Results
Aug 13, 2019
International Food Policy Research Institute (IFPRI), 2015, "Tanzania Africa Research in Sustainable Intensification for the Next Generation (Africa RISING) Baseline Evaluation Survey", https://doi.org/10.7910/DVN/PPUL2W, Harvard Dataverse, V2, UNF:6:3ETqmN59l7GWdAhZVPkB0w== [fileUNF]
As part of the US government’s Feed the Future initiative that aims to address global hunger and food security issues in sub-Saharan Africa, the US Agency for International Development is supporting three multi-stakeholder agricultural research projects under Africa Research In Sustainable Intensification for the Next Generation (Africa RISING - AR...
Jun 4, 2019
Michigan State University (MSU), 2015, "Africa RISING - Malawi Productivity of Maize after Legumes", https://doi.org/10.7910/DVN/R9Z3YA, Harvard Dataverse, V2
This data study contains legume maize sequencing yield data. About the project Project title: Africa RISING - Malawi Productivity of Maize after Legumes Project abstract The Malawi project has local theme 'Agro-ecological intensification in Malawi through action research with smallholder farmers' with a lot of emphasis on co-learning with farmers a...
Jun 4, 2019
International Center for Tropical Agriculture (CIAT); International Livestock Research Institute (ILRI), 2018, "Weather Data for Africa RISING Sites in Ethiopia", https://doi.org/10.7910/DVN/UTBSWK, Harvard Dataverse, V3
Site-specific watershed analysis requires site-specific meteorological data. Due to high spatial and temporal variability nature, collecting in-situ weather data is essential for modeling biophysical processes and understanding the biophysical condition of watersheds. In addition, site-specific weather information by itself is useful for improving...
Feb 5, 2019
International Maize and Wheat Improvement Center (CIMMYT); Zambian Agriculture Research Institute (ZARI); Total LandCare (TLC), 2019, "Doubled-Up Legume Systems Under Conservation Agriculture and Conventional Agriculture in Sinda, Chipata, and Lundazi, Zambia", https://doi.org/10.7910/DVN/J0QAKN, Harvard Dataverse, V1, UNF:6:XNxbL307knVFNZH+8on0Kw== [fileUNF]
This study contains data originated from on-farm trials that were conducted to test and demonstrate the crop yield and economic benefits derived from conservation agriculture (CA) systems on smallholder farms where the ridge and furrow tillage system is the traditional practice. The farm trials were conducted at six farms in Chipata, Lundazi, and S...
Jan 24, 2019
International Institute of Tropical Agriculture (IITA); Ministry of Food and Agriculture (MOFA), Republic of Ghana; Savanna Agricultural Research Institute (SARI), 2016, "Africa RISING - A Two Year Cereal Legume in Northern Ghana", https://doi.org/10.7910/DVN/YCMMVK, Harvard Dataverse, V2
This study contains data from different cereal legume rotation systems in northern Ghana. About the project Project title: A Two Year Cereal Legume Rotation in Northern Ghana Project abstract This project compares different cereal legume rotation systems and determines farmers' preferences. Project website: http://africa-rising.net/where-we-work/we...
Aug 31, 2018
Wageningen University and Research (WUR); International Institute of Tropical Agriculture (IITA), 2018, "Whole-farm Model: Detailed Data on Nine Farms for Impact Assessment of Africa RISING Technologies", https://doi.org/10.7910/DVN/AR4HZI, Harvard Dataverse, V1
The zip.file contains the Farm DESIGN model (software) as well as the input data. A user manual of the software is available online. The zipped Farm DESIGN model contains the whole-farm representation of nine farms in Northern Ghana. A low, medium and a high resource endowed farm per site, namely in Duko (Northern Region), Nyangua (Upper East) and...
Aug 31, 2018
International Center for Tropical Agriculture (CIAT); International Water Management Institute (IWMI); Ethiopian Institute of Water Resources (EIWR); Addis Adaba University (AAU); Mekelle University (MU), 2018, "Soil Moisture and Crop Yield Data for Jawe, Ethiopian Highlands", https://doi.org/10.7910/DVN/YVYGND, Harvard Dataverse, V1
The data included in this study were a part of research that was conducted to assess the impacts of different land uses and soil water conservation (SWC) interventions on runoff and sediment yield at different scales in the highlands of Ethiopia. Run-off and soil loss data were collected from the experimental runoff plots that were set up to monito...
Aug 31, 2018
International Center for Tropical Agriculture (CIAT); International Water Management Institute (IWMI); Ethiopian Institute of Water Resources (EIWR); Addis Adaba University (AAU); Mekelle University (MU), 2018, "Runoff and Soil Loss Data for Basona, Ethiopian Highlands", https://doi.org/10.7910/DVN/JVYT2X, Harvard Dataverse, V1
The data included in this study were a part of research that was conducted to assess the impacts of different land uses and soil water conservation (SWC) interventions on runoff and sediment yield at different scales in the highlands of Ethiopia. Run-off and soil loss data were collected from the experimental runoff plots that were set up to monito...
Aug 31, 2018
International Institute of Tropical Agriculture (IITA); International Livestock Research Institute (ILRI), 2018, "Gender Implications of the Introduction of Forage Chopper Machines in Babati, Tanzania", https://doi.org/10.7910/DVN/MP1KRD, Harvard Dataverse, V1
In 2015, livestock scientists implementing Africa RISING research-in-development activities (R-in-D) introduced forage chopper machines in seven villages in Babati District, northern Tanzania. The dataset included in this study was generated from the research conducted an year later to understand the gender implications of the new processing practi...
Aug 31, 2018
International Livestock Research Institute (ILRI), 2018, "The Effect of Housing and Feeding Systems on Growth and Survival Rate of Chickens up to Maturity Age", https://doi.org/10.7910/DVN/X148IK, Harvard Dataverse, V1
This data was generated as a part of the research project undertaken to evaluate the influence of feeding and housing systems on the growth rate, survival rate, and diseases and loss incidences of local chicken flocks in three villages of Babati, Tanzania. A total of 912 chicks of six weeks of age were used for this study. The chicks were randomly...
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.