ILRI datasets

Permanent URI for this collectionhttps://hdl.handle.net/10568/108566

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MoreMilk project - Baseline and Endline Household survey including 24hour food consumption recall for index child
(Dataset) Alonso, Silvia; Grace, Delia; Leroy, Jef L.; Angel, Moira Donahue; Palloni, Giordano; Kilonzi, Emily
Baseline and endline household survey data of the MoreMilk project (a cluster randomized control trial of a training, certification, and marketing intervention for small-scale dairy vendors operating in the informal market in Eldoret, a secondary city in Kenya). Households were recruited if they had a child 12-48 months of age and regularly purchased from dairy vendors participating in the project. Baseline data were collected October to December 2021 and endline between October and December 2022. The household survey data include data on dwelling quality, household dietary diversity, household dairy expenditure, household food security, caregiver knowledge of health and nutrition, child morbidity, milk handling practices, 24hr recall data of the index child and for endline, exposure to the MoreMilk program.
MoreMilk project - Baseline and Endline Vendor survey and ProWEAI survey
(Dataset) Alonso, Silvia; Leroy, Jef L.; Grace, Delia; Angel, Moira Donahue; Palloni, Giordano; Kilonzi, Emily
Vendor baseline and endline survey data of the MoreMilk project (a cluster randomized control trial of a training, certification, and marketing intervention for small-scale dairy vendors operating in the informal market in Eldoret, a secondary city in Kenya). Data from 283 dairy vendors in the informal sector in Eldoret (Kenya) was collected from 21 October 2021 to 6 December 2021 for the baseline. Data from 225 dairy vendors in the informal sector in Eldoret (Kenya) was collected between 19 October 2022 and 9 December 2022 for endline.The datasets contains information about the dairy business characteristics, milk handling practices, business-related information and for the baseline only, Project-level Women's Empowerment in Agriculture Index (Pro-WEAI). The observations belong to two different treatment arm, one for vendors who were enrolled in the MoreMilk training program and the other group of control vendors (who didn't participate in the program).
A Comprehensive Database of CGIAR Climate-Related Journal Articles (2012–2023)
(Dataset, 2024-12-05) Orth, Alan S.; Bosire, Caroline K.; Rabago, Laura; Vaidya, Shrijana; Rajbhandari, Sitashma; Pradhan, Prajal; Mukherji, Aditi
This dataset contains bibliographic metadata for 3,466 peer-reviewed journal articles used in the 2024 synthesis of CGIAR work on climate change. The metadata was retrieved from eight CGIAR institutional repositories, processed using a Python-based extract, transform, and load (ETL) pipeline, and screened for climate change relevance in Rayyan. Through harvesting we identified 5,487 journal articles matching the inclusion criteria in CGIAR repositories: - Issue date between 2012 and 2023 - The words "climate change" in the title, abstract, or keywords - English language - DOI assigned The bibliographic metadata was merged and normalized to ensure consistent use of date formats, multi-value separators, and identifiers. The ETL pipeline used titles and DOIs to identify and remove duplicates, as well as exclude any others that had been erroneously included due to incorrect repository metadata we could identify (mislabeled preprints, non-English, etc.). We used Crossref, Unpaywall, and OpenAlex to fill in gaps for missing metadata such as usage (license) and access rights, affiliations, and publishers because this information can be valuable to researchers. Minor normalization was performed on affiliations, countries, and publishers, but all other metadata was used as-is from the respective repositories. 4,495 journal articles were uploaded to the Rayyan platform for a blinded screening of climate change relevance by a team trained in systematic literature review methodology. Reviewers excluded journal articles not deemed to be climate change related or identified as further duplicates. This dataset is useful for understanding CGIAR’s research on climate change. Potential areas of work could be to use machine learning to classify thematic areas. The Python code used to perform the harvesting and processing of this dataset can be found on GitHub: https://github.com/ilri/cgiar-climate-change-synthesis
MoreMilkIT - Household baseline survey
(Dataset, 2015-05-29) Omore, Amos O.; Baltenweck, Isabelle; Kariuki, Eunice; Njehu, Alice; Githinji, Julius
More milk by and for the poor: Adapting dairy market hubs for pro-poor smallholder value chains in Tanzania (MoreMilkIT) The MoreMilkiT project aims to achieve inclusive growth and reduced poverty and vulnerability among people with dairy- dependent livelihoods in selected rural areas in Tanzania. The project is primarily targeted at pre-commercial marginalized smallholder cattle-keeping men and women who do not currently participate fully in dairy value chains. The baseline survey was conducted in Morogoro and Tanga Regions of Tanzania, with a total of 932 interviewed households. The specific study sites (districts) were selected to represent a spectrum of cattle production and market systems, the aim being to explore the potential to extend commercial dairying to marginalised areas.
MoreMilkIT - Monitoring Survey in Tanzania
(Dataset, 2016-12-31) Omore, Amos O.; Rao, E.J.O.; Twine, Edgar; Githinji, Julius; Baltenweck, Isabelle; Kariuki, Eunice
More milk by and for the poor: Adapting dairy market hubs for pro-poor smallholder value chains in Tanzania (MoreMilkIT) The MoreMilkiT project aims to achieve inclusive growth and reduced poverty and vulnerability among people with dairy- dependent livelihoods in selected rural areas in Tanzania. The project is primarily targeted at pre-commercial marginalized smallholder cattle-keeping men and women who do not currently participate fully in dairy value chains. This dataset contains 3 rounds of monitoring data from 461 households for project evaluation and impact assessment.
MoreMilkIT - Food Demand and Individual Dietary Diversity and Women's Empowerment in Livestock Index (WELI) in Tanzania
(Dataset, 2016-12-31) Omore, Amos; Baltenweck, Isabelle; Salas, Paula; Galiè, Alessandra; Girard Webb, Amy; Barasa, Violet; Githinji, Julius; Kariuki, Eunice
More milk by and for the poor: Adapting dairy market hubs for pro-poor smallholder value chains in Tanzania (MoreMilkIT). The MoreMilkiT project aims to achieve inclusive growth and reduced poverty and vulnerability among people with dairy- dependent livelihoods in selected rural areas in Tanzania. The project is primarily targeted at pre-commercial marginalized smallholder cattle-keeping men and women who do not currently participate fully in dairy value chains. The WELI is a survey that covers some key indicators of empowerment in relation to dairy development in Tanzania. The aim is to assess changes in women empowerment over time and relate this to the nutrition status of the household members (the nutrition survey). The survey was conducted in 201 households across the 4 MoreMilkIT project districts (Lushoto, Handeni, Kilosa and Mvomero).
Political Economy of Low Greenhouse Gas Emission Dairy Development in Kenya and Tanzania (Greening Livestock) - Socio-economic survey
(Dataset) Crane, Todd; Kihoro, Esther; Vernooij, Vera; Hawkins, James
Project: Political Economy of Low Greenhouse Gas Emission Dairy Development in Kenya and Tanzania. The objective of this survey was to investigate incentive based interventions for reducing the climate impact of livestock in Kenya and Tanzania. Surveys were conducted in 350 dairy keeping households in Kenya and 350 in Tanzania. These data on dairy production practices, marketing strategies, milk production and prices can be used to enhance dairy development in both countries.
Livestock and fish production, consumption of animal-sourced foods, and climate change to 2050 - Supplementary global data on livestock feed biomass supply
(Dataset) Enahoro, Dolapo; Wiebe, Keith; Oloo, Stephen; Devulapalli, Ravi; Komarek, Adam; Herrero, Mario; Sircely, Jason; Boone, Randall
Enhance and apply the IMPACT system of models to examine multiple and likely conflicting trends and related goals at the global and regional scales, and for selected countries, in the context of changes in population, income, technology and climate to 2050. This dataset is directly applicable for use as the baseline feed data for the global economic model IMPACT. It is adaptable for use with models with similar representation of the global agricultural and food system.
Safe Food, Fair Food: Trichinella-specific antibodies in domestic pigs in Central and Eastern Uganda
(Dataset) Roesel, Kristina; Dione, Michel; Grace, Delia; Akol, Joyce; Erume, Joseph; Musewa, Angella; Kungu, Joseph
Cross-sectional study using different direct and indirect diagnostic methods to detect Trichinella antibodies in live pigs and infectious larvae in pork, complemented by metadata on pork consumption practices. This dataset was produced as part of the implementation of the Smallholder Pig Value Chains Development in Uganda (SPVCD) and Safe Food, Fair Food (SFFF) projects. These projects were working to improve the livelihoods of the poor by reducing the health risks associated with pig-sourced food and by improving nutrition and market access for smallholders.
Nicaragua Learning Alliance monitoring and evaluation study 2014
(Dataset) Cadilhon, Jean Joseph; Landmann, Dirk
Data gathering and analysis of the impact of the structure of the Nicaragua Learning Alliance (NLA) on the conduct of its members and on achieving their capacity development objectives.
Treatment strategies and antibiotic usage practices in mastitis management in Kenyan smallholder dairy farms
(Dataset) Muloi, Dishon; Ibayi, Eugine; Nyotera, Sharon; Kirimi, Hildah; Abdi, Abdullahi; Mutungwa, Silvester; Chemutai, Abigael; Moodley, Arshnee
Mastitis is a common driver of antibiotic use in dairy farms and is exacerbated in low-income settings by the lack of diagnostics and treatment strategies. This study assessed the decision-making process of animal health providers (AHPs) in managing mastitis in small-holder dairy farms in Kiambu County, Kenya. Data were collected from 114 AHPs on: (i) demographics (age, sex, education level, years of veterinary practice), (ii) decision-making process relating to management of clinical mastitis, (iii) antibiotic use practices (brands, frequency), and (iv) attitudes and perceptions towards udder health and mastitis management.
Modifying a Rift Valley fever vaccination campaign in Isiolo County, Kenya to reduce gendered barriers to accessing livestock vaccines
(Dataset) Campbell, Zoe; Bett, Bernard; Abdi, Adan; Guyo, Boru; Mwongela, Dennis
This research activity tested gender-responsive modifications to an Rift Valley fever vaccination campaign in Isiolo County, Kenya with the goal of reducing barriers for women who want to vaccinate their livestock.
People, Animals and their Zoonoses - The Influence of Socio-economic, Behavioural and Environmental Factors on Taenia spp
(Dataset) Fèvre, Eric M.; Wardrop, Nicola; Thomas, Lian F.; Atkinson, Peter; Glanville, William A. de; Cook, Elizabeth A.J.; Wamae, Claire; Gabriël, Sarah; Dorny, Pierre; Harrison, Leslie
This project deals with zoonotic infections amongst livestock and the farmers who keep them. Zoonotic diseases are infections transmitted between animals and humans; they are a major group of pathogens (approximately 60% of all human-infective organisms), with a diversity of animal hosts including wildlife, pets and domestic animals. Domestic livestock (especially cattle and pigs) are an important source of zoonotic infections to humans, due in part to the close interactions between these agricultural animals and the people who keep them. While keeping domestic stock is an important source of rural livelihoods in many countries, these animals may also expose the families who keep them to disease risks. Understanding the interactions between people and their domestic animals, and the transmission of zoonoses between them, is of vital importance in creating the evidence-based disease control policies that are required to protect both human and animal health. The dataset relates to a paper published in an open access journal, relating to the influence of socio-economic, behavioural and environmental factors on Taenia spp. transmission in western Kenya. Taenia, of cysticercosis, is a zoonotic disease. These data were collected in a cross-sectional epidemiological study carried out between 2010 and 2013.
Green house gas mitigation potential in dairy production systems
(Dataset) Baltenweck, Isabelle; Fraval, Simon; Rao, E.J.O.; Githinji, Julius; Githoro, Edmund; Atieno, Turry
Estimating GHG mitigation potential in dairy production systems and assessing the feasibility of carbon market linkages.
Transforming Gender Relations and Reducing Risk of Zoonotic Diseases among Small Ruminant Farmers in the Highlands of Ethiopia
(Dataset) Wieland, Barbara; Mulema, Annet; Kinati, Wole; Woldegiorgis, Mamusha; Mekonnen, Mesfin; Alemu, Biruk; Desta, Hiwot; Demeke, Yifru; Elias, Belay
Community conversations were piloted in four villages located in three woredas (districts) of Ethiopia - Doyogena district in Southern Nations, Nationalities, and Peoples’ Region (SNNPR), Menz Gera Midir, and Menz Mama Midir (referred to as Menz districts) in the Amhara region. These are sites where the CGIAR (Consultative Group on International Agricultural Research) Research Program on Livestock implements livestock research interventions to improve the livelihoods of smallholder livestock producers. The sites were selected based on their livestock density, market access, and ethnicity. Alongside these conversations individual interviews were conducted before and after the community conversations (the intervention) using a semi-structured questionnaire to determine knowledge, attitude, and practice of community members regarding division of labor, ownership, and control of livestock resources; institutions and structures; and management of zoonoses. We interviewed about 20 individuals from randomly sampled households in each village at the location conversations where held, yielding 83 respondents (47 men and 36 women). Participants responded to statements on a Likert scale range of agreeing, neutral, and disagreeing. Reasons for their ratings were also recorded. For this activity we partnered with the Doyogena and Menz Gera Woreda Offices of Livestock Development. This study was funded through the CGIAR Research Program on Livestock. We thank all donors and organizations which globally support its work through their contributions to the CGIAR Trust Fund, the local research and development partners and the communities. We are greatly indebted to Belay Elias, Yifru Demeke, Zekarias Bassa, Amsale Bubamo, Abiro Tigabe, Tadious Asfaw, Mulatu, Mohammed Seid, Habtamu Guchale, Birye Debebe for facilitating the community conversations in Doyogena and Menz districts, and Solomon Gizaw fostering partnerships. Thanks to Barbara Ann Rischkowsky who coordinates the small ruminant research in these sites.
Epidemiology of Respiratory Diseases: Impact on Smallholder Pig Production Systems in Uganda (Pig multipathogen survey and disease impact - Lira district)
(Dataset, 2021-03-11) Dione, Michel; Oba, Peter; Wieland, Barbara; Ouma, Emily A.
Knowledge of epidemiology of circulating respiratory pathogens, their impacts on pig productivity and genetic diversity in Uganda is limited or lacking. Thus, identifying circulating pathogens, risk factors for their occurrence and determining their genetic diversity in pig populations in Uganda provides a useful framework for design of prevention and control interventions. In addition, losses associated with respiratory infections need to be quantified to guide decision making processes that aim to reduce the negative impacts of respiratory diseases. This research project is expected to generate important information useful to address critical constraints to pig production and productivity in Uganda. The overall objective of this activity is to determine the impact of respiratory diseases on pig production. The specific objectives are: i. Determine the impact of respiratory diseases on weight gain in pigs ii. Determine the genetic diversity of important respiratory pathogens in domestic pigs in Uganda iii. Quantify economic losses associated with respiratory disease(s)/infections in pigs in Uganda. These data consist of a multi-pathogen baseline study conducted on 259 pigs across 90 farms, 5 rounds of longitudinal monitoring on the same farms for pathogens and economic losses and a cross-sectional pig abattoir survey (3 slabs) in Lira, Uganda.
Infection dynamics and disease burden of East African cattle (IDEAL)
(Dataset, 2015-08-01) Woolhouse, Mark; Bronsvoort, Barend Mark de Clare; Toye, Philip; Kiara, Henry Kimathi; Poole, Elizabeth J.; Mbole-Kariuki, Ndila; Njiiri, Evalyne
IDEAL was a multi-disciplinary study addressing two main issues: 1) the widely recognised lack of baseline epidemiological data on the dynamics and impacts of infectious diseases of cattle in the tropics; and 2) improving understanding of interactions between multiple infections and their sequelae by testing two specific hypotheses: i) that the negative impacts of different infections are not independent; ii) that positive traits (e.g. resistance to infection and/or disease, good condition etc.) cluster in certain individuals. This dataset contains links to data from all field activities - recruitment survey, longitudinal household and animal monitoring.
Gender roles in ruminant disease management in Uganda: Implications for the control of peste des petits ruminants and Rift Valley fever (BUILD)
(Dataset) Namatovu, Jane; Lule, Peter; Campbell, Zoë A.; Tumusiime, Dan; Bett, Bernard K.; Roesel, Kristina; Ouma, Emily A.; Marsy, Asindu; Kiara, Henry K.
Gender roles in ruminant disease management in Uganda: Implications for the control of peste des petits ruminants and Rift Valley fever: This research study is a subcomponent of a bigger project “Boosting Uganda’s Investments in Livestock Development” (BUILD). The output of the research is expected to inform the development PPR and RVF control strategies and options to support ongoing campaigns to eradicate Peste des petits ruminants (PPR) and zoonotic diseases, especially Rift Valley fever (RVF) in Uganda. This study was qualitative and utilised sex-disaggregated focus group discussions with livestock keepers and 32 key informant interviews to explore influencing factors shaping disease control options taken up by men and women in six districts in the western, northeastern, and eastern regions of Uganda during 2020-2021. 16 FGDs were conducted in the RVF sites and 12 FGDs in the PPR sites. The results could guide government in developing appropriate interventions for controlling PPR and RVF.
MoreMilkIT - Uncertainty in milk production study
(Dataset, 2016-12-31) Omore, Amos; Twine, Edgar; Rao, E.J.O.; Baltenweck, Isabelle
More milk by and for the poor: Adapting dairy market hubs for pro-poor smallholder value chains in Tanzania (MoreMilkIT) The MoreMilkiT project aims to achieve inclusive growth and reduced poverty and vulnerability among people with dairy- dependent livelihoods in selected rural areas in Tanzania. The project is primarily targeted at pre-commercial marginalized smallholder cattle-keeping men and women who do not currently participate fully in dairy value chains, The data for the study was collected in August 2016 at one of the MoreMilkIT project sites, Lushoto district, located in the north of the Tanga region in the eastern milk shed. The study relied on representative smallholder dairy farms as study units. Farmers who undertake commercial milk production and own the dairy enterprise were the primary criteria guiding the selection of representative dairy farmers for each gender category. Farmers were also selected based on their willingness and ability to provide accurate and substantial enterprise data. Impact of risk on cash flows was examined for a single cow for one lactation period (300 days), and the impact of uncertainty on investment decisions was determined using capital budgeting methods. This study was supported by NWO-WOTRO through the LIQUID project and Irish Aid in Tanzania through the MoreMilkiT project. The authors are also grateful to the dairy farmers who provided the data for the study.
Livestock household census survey in Odisha, India
(Dataset) Swain, Braja; Teufel, Nils; Rahman, Habibar; Lukuyu, Ben
These data contain one round cross section, livestock assets survey of 75146 households from Odisha, India collected between 2017 and 2018.

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