Publications

Kansas State University. 2019. FTF Ghana 2015 Interim Population-Based Survey: Group Membership. Dataset. USAID Development Data Library. https://data.usaid.gov/d/4fxt-dteq

Margaret Beaver. 2019. Agricultural Land Dynamics and Land Policy in Rural Tanzania 2016: Crop Conversion Dataset. Dataset. USAID Development Data Library. https://data.usaid.gov/d/j6r2-ucjq

Westat. 2022. Feed the Future: Zambia Interim Survey in the Zone of Influence, Women's Empowerment in Agriculture Index-Time Use File. Dataset. USAID Development Data Library. https://data.usaid.gov/d/fhej-fd39

World Bank, 'Enterprise Survey 2006 (Bolivia)', 2011

Institut National de la Statistique et de la Démographie [Burkina Faso] and Macro International Inc.; Minnesota Population Center (University of Minnesota), 'Demographic and Health Survey 1993 - IPUMS Subset (Burkina Faso)', 2020

UN Refugee Agency (UNHCR) (UN), 'Water, Sanitation and Hygiene KAP Survey 2021: Gore Camp (Chad)', 2023

Bureau of Statistics, 'Multiple Indicator Cluster Survey 2017-2018: Round 6 (Congo, Dem. Rep.)', 2022

Poverty and Equity GP (The World Bank), 'COVID-19 National Panel Phone Survey 2020: Wave 2 (Djibouti)', 2021

FAO Statistics Division (FAO), 'Food Insecurity Experience Scale 2017 (Botswana)', 2019

Westat. 2023. Feed the Future Northern Kenya Zone of Influence Survey Baseline - Durable Goods Expenditures Dataset. Dataset. USAID Development Data Library. https://data.usaid.gov/d/bnma-ukqk

ILRI. 2019. KAZNET: Towards creating livestock market information efficiency through technology. Poster prepared for the ILRI Institutional Planning Meeting (IPM), ILRI, Addis Ababa, 17-19 September 2019. Nairobi, Kenya: ILRI.

Legese, G., Haile, A., Duncan, A.J., Dessie, T., Gizaw, S. and Rischkowsky, B. 2014. Sheep and goat value chains in Ethiopia: A synthesis of opportunities and constraints. ICARDA/ILRI Project Report. Nairobi, Kenya: ILRI.

Kabirizi, J.; Kyalo, G.; Nsubuga, J.; Kigongo, J. 2015. Workshop Report: Farmer training on sweetpotato silage making in Kamuli district. 15 p.

Erkossa, Teklu; Geleti, D.; Williams, Timothy O.; Laekemariam, F.; Haileslassie, Amare. 2022. Restoration of grazing land to increase biomass production and improve soil properties in the Blue Nile Basin: effects of infiltration trenches and Chloris gayana reseeding. Renewable Agriculture and Food Systems, 37(S1):S64-S72. (Special issue: Restoring Degraded Landscapes and Fragile Food Systems) [doi: https://doi.org/10.1017/S1742170519000425]

Gashaw, T.; Wubaye, G. B.; Worqlul, A. W.; Dile, Y. T.; Mohammed, J. A.; Birhan, D. A.; Tefera, G. W.; van Oel, P. R.; Haileslassie, Amare; Chukalla, A. D.; Taye, Meron Teferi; Bayabil, H. K.; Zaitchik, B.; Srinivasan, R.; Senamaw, A.; Bantider, A.; Adgo, E.; Seid, Abdulkarim. 2023. Local and regional climate trends and variabilities in Ethiopia: implications for climate change adaptations. Environmental Challenges, 13:100794. [doi: https://doi.org/10.1016/j.envc.2023.100794]

Abernethy, C. L. 1994. Report on a visit to Burkina Faso, 2-18 March 1994. Colombo, Sri Lanka: International Irrigation Management Institute (IIMI). 37p.

Jamu D.I.; Khota, G. (2005). IAA Production Systems in Malawi. CABI - Aquaculture Compendium

Banda, M; Jamu, D.; Njaya, F.; Makuliwa, M.; Maluwa, A. (eds.). (2005). The Chambo restoration strategic plan. WorldFish Center Conf. Proc. (71): 112 p

Béné, C.; Heck, S. (2005). Fisheries and the millennium development goals : solutions for Africa. WorldFish Center. Cairo. 9 p

Moreau, J.; Christensen, V.; Pauly, D. (1993). A trophic ecosystem model of Lake George, Uganda. p. 124-129. In V. Christensen and D. Pauly (eds.) Trophic models of aquatic ecosystems. ICLARM Conf. Proc. 26, 390 p

CGIAR Research Program on Maize. 2019. Spatial farm typology to assess suitability of conservation agriculture (CA) in Zambia. Reported in Maize Annual Report 2019. Innovations.

CGIAR Research Program on Agriculture for Nutrition and Health. 2021. RW-CB186: A new iron biofortified beans variety released in Rwanda. Reported in Agriculture for Nutrition and Health Annual Report 2021. Innovations.

IWMI-Giriraj Amarnath, 'Maximum flood inundation extent derived using MODIS 8-day 500m surface reflectance data for Nigeria (2002105)', IWMI-Giriraj Amarnath, 2015

IWMI-Giriraj Amarnath, 'Maximum flood inundation extent derived using MODIS 8-day 500m surface reflectance data for Nigeria (2003097)', IWMI-Giriraj Amarnath, 2015

IWMI-Giriraj Amarnath, 'Maximum flood inundation extent derived using MODIS 8-day 500m surface reflectance data for Nigeria (2003137)', IWMI-Giriraj Amarnath, 2015

IWMI-Giriraj Amarnath, 'Maximum flood inundation extent derived using MODIS 8-day 500m surface reflectance data for Nigeria (2003225)', IWMI-Giriraj Amarnath, 2015

IWMI-Giriraj Amarnath, 'Maximum flood inundation extent derived using MODIS 8-day 500m surface reflectance data for Nigeria (2006049)', IWMI-Giriraj Amarnath, 2015

IWMI-Giriraj Amarnath, 'Maximum flood inundation extent derived using MODIS 8-day 500m surface reflectance data for Nigeria (2006097)', IWMI-Giriraj Amarnath, 2015

IWMI-Giriraj Amarnath, 'Monthly maximum flood inundation extent derived using MODIS 8-day 500m surface reflectance data for Nigeria (2008-Mar)', IWMI-Giriraj Amarnath, 2015

IWMI-Giriraj Amarnath, 'Monthly maximum flood inundation extent derived using MODIS 8-day 500m surface reflectance data for Nigeria (2008-Aug)', IWMI-Giriraj Amarnath, 2015