This dataset was created by re-compiling available open, gender/sex-disaggregated Feed the Future data for Ghana and applying standard processing methods to enhance their accessibility and interoperability.

This dataset is was created by re-compiling available open, gender/sex-disaggregated Feed the Future datasets for Bangladesh and applying standard processing methods to enhance their accessibility and interoperability.

This dataset was compiled by processing and harmonizing multiple secondary datasets, covering Nigeria and three states in India (Bihar, Odisha, and Uttar Pradesh), to help those working in the agricultural development sector identify and character

This dataset include survey instrument and data used in a collaborative technology adoption study conducted by the Association for Strengthening Agricultural Research in Eastern and Central Africa (ASARECA) and IFPRI.

This data files includes full metadata records of 12,131 SCI-indexed journal articles authored by CGIAR scientists published between January 2000 to November 2016, retrieved from Web of Science by Thomson Reuters.

GIS dataset for constructing three-dimensional Development Domain for ASARECA's operation area in 12 East and Central Africa countries.

It is crucial to stress that poverty distribution are not referred to 2011, but they are referred to the survey year, although they represent poverty headcount measured at an international comparative level, i.e.

Replication data used in the analysis of subnational socio-economic dataset availability

Resilience of food security in the arid and semi-arid lowlands (ASAL) in Kenya.

Reliable market accessibility data is critical to develop agricultural policies and investment plans for ensuring smallholder farmers’ market participation and their profitable farming, yet this data is less frequently updated.

Spatially-explicit data is increasingly becoming available across disciplines, yet they are often limited to a specific domain.

Yield gap of nine priority commodities of the African Development Bank was assessed and aggregated at two levels across the Africa continent:

HCID is a global grid identification system offering users to refer the location and boundary of a grid cell, available at multiple spatial resolutions, using a single integer number.

Yield growth rate (%) of major crop commodities in CGIAR CRP II priority countries were computed using the FAOSTAT-retrieved national crop production statistics data for five most recent years (2009-2013 in most countries; where available, 2014 da

This dataset contains estimates of the poor and extreme poor rural population within each region (administrative level 1) of the CRPs countries.

Agro-Ecological Zones (AEZ) for Africa South of the Sahara (SSA) were developed based on the methodology developed by FAO and IIASA.

Accurate delineation of the urban and rural areas has a broad range of implications on the quality and reliability of agricultural production and socio-economic statistics, design of household survey, establishment of agricultural development stra

One of the obstacles in applying advanced crop simulation models such as DSSAT at a grid-based platform is the lack of gridded soil input data at various resolutions.

Using a variety of inputs, IFPRI's Spatial Production Allocation Model (SPAM) uses a cross-entropy approach to make plausible estimates of crop distribution within disaggregated units.

DREAM, or Dynamic Research Evaluation for Management, is a menu-driven software package for evaluating the economic impacts of agricultural research and development (R and D).