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The Dataverse portal of the International Center for Agricultural Research in Dry Ares (ICARDA) has been set up with the aim of making Findable, Accessible, Interoperable and Reusable (F.A.I.R.) the knowledge produced in research for development frameworks, joined by the Center and its partners. The portal is supported by the CGIAR Research Program on LIVESTOCK, the CGIAR Platform for BIGDATA in Agriculture, and is powered by CODEOBIA and hosted by Amazon Web Services (AWS). You may copy, distribute and transmit the data as long as you acknowledge the source through proper citation as shown below. You may not resale or use the data for any commercial purposes except with written permission from the respective authoring institution(s) and the author(s) concerned. By using the ICARDA Dataverse, the user expressly acknowledges that the data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. The user should always verify actual data.

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In accordance with scientific standards, all users of these data should make appropriate acknowledgement to the producer of the data as well as the distributor using bibliographic citation. Such citations will appear in footnotes or in the reference section of any such manuscript. The citation should use the citation standard documented in http://thedata.org/citation and as shown on the "Data Citation" section of the cataloguing information page for each dataverse study. ICARDA requests a copy of any material produced based on the data. This includes position papers, scientific reports, and graduate papers in addition to publications. All users of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the cataloguing information.

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1 to 10 of 590 Results
A Comprehensive Database of CGIAR Climate-Related Journal Articles (2012–2023)
Jan 23, 2025 - International Livestock Research Institute
Orth, Alan; Bosire, Caroline K.; Rabago, Laura; Vaidya, Shrijana; Rajbhandari, Sitashma; Pradhan, Prajal; Mukherji, Aditi, 2024, "A Comprehensive Database of CGIAR Climate-Related Journal Articles (2012–2023)", https://hdl.handle.net/20.500.11766.1/FK2/Z98CZO, MELDATA, V4
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 (E...
Effects of community-based intervention of non-government organization on gender equity in agriculture and food systems in selected areas of Kishoreganj district
Effects of community-based intervention of non-government organization on gender equity in agriculture and food systems in selected areas of Kishoreganj district
Jan 20, 2025 - International Livestock Research Institute
Lecoutere, Els; Puskur, Ranjitha; Singaraju, Niyati; Mishra, Avni; Akhter, Sadika; Khatun, Fatema; Rahman, Aminur; Kamruzzaman, Mohammed; Chowdhury, Promit Barua, 2023, "Effects of community-based intervention of non-government organization on gender equity in agriculture and food systems in selected areas of Kishoreganj district", https://hdl.handle.net/20.500.11766.1/FK2/ZGKYC2, MELDATA, V3
This impact assessment study focuses on two community-based development projects, implemented by People's Oriented Programme Implementation (POPI), an NGO in Bangladesh. Both projects were implemented in the Kishoreganj district, a gender inequality hotspot. The "Engaging Communi...
Livestock and fish production, consumption of animal-sourced foods, and climate change to 2050 - Supplementary global data on livestock feed biomass supply
Livestock and fish production, consumption of animal-sourced foods, and climate change to 2050 - Supplementary global data on livestock feed biomass supply
Jan 20, 2025 - International Livestock Research Institute
Enahoro, Dolapo; Wiebe, Keith; Oloo, Stephen; Devulapalli, Ravi; Komarek, Adam; Herrero, Mario; Sircely, Jason; Boone, Randall, 2021, "Livestock and fish production, consumption of animal-sourced foods, and climate change to 2050 - Supplementary global data on livestock feed biomass supply", https://hdl.handle.net/20.500.11766.1/FK2/OEHENL, MELDATA, V4
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 direct...
MoreMilk project - Baseline and Endline Vendor survey and ProWEAI survey
Jan 7, 2025 - International Livestock Research Institute
Alonso, Silvia; Leroy, Jeff; Grace, Delia; Moira, Angel; Giordano, Palloni; Kilonzi, Emily, 2022, "MoreMilk project - Baseline and Endline Vendor survey and ProWEAI survey", https://hdl.handle.net/20.500.11766.1/FK2/D8WPXL, MELDATA, V2
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...
MoreMilk project - Baseline and Endline Household survey including 24hour food consumption recall for index child
Jan 7, 2025 - International Livestock Research Institute
Alonso, Silvia; Grace, Delia; Leroy, Jeff; Moira, Angel; Giordano, Palloni; Kilonzi, Emily, 2022, "MoreMilk project - Baseline and Endline Household survey including 24hour food consumption recall for index child", https://hdl.handle.net/20.500.11766.1/FK2/0JSNUM, MELDATA, V2
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 r...
End Of The Moisture-limited Growing Period
Dec 19, 2024 - Big Data and ICT
De Pauw, Eddy; Atassi, Layal; Tulaymat, Mohammad Fawaz; Nseir, B., 2019, "End Of The Moisture-limited Growing Period", https://hdl.handle.net/20.500.11766.1/FK2/L2LUBS, MELDATA, V2
Data for characterization of Central Asia climatic conditions. End of the moisture-limited growing period was calculated by using interpolated raster from climatic stations using CLIMAP tool developed at ICARDA.
Climate Productivity Index (Crop Group IV, Rainfed)
Dec 19, 2024 - Big Data and ICT
De Pauw, Eddy; Atassi, Layal; Tulaymat, Mohammad Fawaz; Nseir, B., 2019, "Climate Productivity Index (Crop Group IV, Rainfed)", https://hdl.handle.net/20.500.11766.1/FK2/IQ480N, MELDATA, V2
Data for characterization of Central Asia climatic conditions. Climate Productivity Index (Crop Group IV, Rainfed) was calculated by using interpolated raster from climatic stations using CLIMAP tool developed at ICARDA.
Climate Productivity Index (Crop Group III, Rainfed)
Dec 19, 2024 - Big Data and ICT
De Pauw, Eddy; Atassi, Layal; Tulaymat, Mohammad Fawaz; Nseir, B., 2019, "Climate Productivity Index (Crop Group III, Rainfed)", https://hdl.handle.net/20.500.11766.1/FK2/H9JU6P, MELDATA, V2
Data for characterization of Central Asia climatic conditions. Climate Productivity Index (Crop Group III, Rainfed) was calculated by using interpolated raster from climatic stations using CLIMAP tool developed at ICARDA.
Climate Productivity Index (Crop Group II, Rainfed)
Dec 19, 2024 - Big Data and ICT
De Pauw, Eddy; Atassi, Layal; Tulaymat, Mohammad Fawaz; Nseir, B., 2019, "Climate Productivity Index (Crop Group II, Rainfed)", https://hdl.handle.net/20.500.11766.1/FK2/ZBJSFI, MELDATA, V2
Data for characterization of Central Asia climatic conditions. Climate Productivity Index (Crop Group II, Rainfed) was calculated by using interpolated raster from climatic stations using CLIMAP tool developed at ICARDA.
Climate Productivity Index (Crop Group I, Rainfed)
Dec 19, 2024 - Big Data and ICT
De Pauw, Eddy; Atassi, Layal; Tulaymat, Mohammad Fawaz; Nseir, B., 2019, "Climate Productivity Index (Crop Group I, Rainfed)", https://hdl.handle.net/20.500.11766.1/FK2/MKHBVB, MELDATA, V2
Data for characterization of Central Asia climatic conditions. Climate Productivity Index (Crop Group I, Rainfed) was calculated by using interpolated raster from climatic stations using CLIMAP tool developed at ICARDA.
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