Datasets
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Feed the Future Nepal Interim Survey in the Zone of Influence, Women's File
Feed the Future Nepal Interim Survey in the Zone of Influence: This dataset is the data for all women age 15-49 with a completed interview captured in Module H of the... -
Security Investigative Database
The Security Investigation Database (SID) is a COTS personnel security application in a USAID virtualized environment that can support USAID's business requirements and... -
Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Water Stressed Environment in Tlaltizapan: Section 4
In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled... -
Feed the Future Uganda Interim Survey in the Zone of Influence, Analytical Variables Created About the Use of Agricultural Technologies
Feed the Future Uganda Interim Survey in the Zone of Infuence: This recode dataset (n=2,334, vars=92) contaions the analytical variables derived from the Agricultural technology... -
TraiNet/Visa Compliance System
TraiNet is USAID's official training data management system that is accessed from a web browser and the entry point for data about training programs and participants in their... -
Feed the Future Uganda Interim Survey in the Zone of Influence, Household Members File
Feed the Future Uganda Interim Survey in the Zone of Infuence: This dataset is a household-level file with records for each sampled household with a completed interview (n=778,... -
Georgia Water and Energy Survey, Commercial Sector
Survey of energy and water end-use to update the Markal Allocation Model (MARKAL Georgia), Commercial Sector -
Feed the Future Nepal Interim Survey in the Zone of Influence, Children's File
Feed the Future Nepal Interim Survey in the Zone of Influence: This dataset contains records for all children under 3 years of age (0-35 months) (n=229, vars=49). This file... -
Feed the Future Northern Kenya Interim Survey in the Zone of Influence, Durable Goods Expenditures
Feed the Future Northern Kenya Interim Survey in the Zone of Influence: This dataset (n=69,540, vars=23) contains data from sub-Module E7: Durable Goods Expenditures. Each... -
Aljannare Market Grain Prices
Data obtained from the National Bureau of Statistics in Abuja, Nigeria on monthly prices for select markets in Kebbi State, Nigeria for January 2000 to December 2016. -
Feed the Future Northern Kenya Interim Survey in the Zone of Influence, Women's Empowerment in Agriculture Index-Recode File
Feed the Future Northern Kenya Interim Survey in the Zone of Influence: This dataset (n=1,573, vars=169) contains the analytical variables derived in the WEAI analysis. -
Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Water Stressed Environment in Tlaltizapan: Section 5
In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled... -
Climate Change Impacts on Water Resources in Tanzania
The economic and social impacts of climate variability in developing countries underline the need to help partner countries gain the institutional capacity for resilient... -
Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a High Nitrogen Environment in Agua Fria: Section 2
In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled... -
Using Leaf-level Hyperspectral Reflectance Data to Analyze Genetic Gain in CIMMYT Maize Hybrids, Leaf Level Reflectance Data in a Low Nitrogen Environment in Agua Fria: Section 2
In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled... -
Ethiopia Pastoralist Areas Resilience Improvement and Market Expansion (PRIME) Project IE--Household Information: Section 3
In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled... -
Feed The Future Uganda Population-Based Survey, Children Data
The Uganda Population-Based Survey (PBS) provides a comprehensive assessment of the current status of agriculture and food security in 38 districts across eight regions of the... -
Feed the Future Northern Kenya Interim Survey in the Zone of Influence, Construction Expenditures Over Past 12 Months
Feed the Future Northern Kenya Interim Survey in the Zone of Influence: This dataset (n=3,662, vars=15) contain data from sub-Module E5 regarding non-food items that may or may... -
Feed The Future Rwanda Baseline Household Survey, Household Member Data
The Rwanda Population-Based Survey (PBS) provides a comprehensive assessment of the current status of agriculture and food security in almost the entire country, including all...