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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 620 Results
Sep 1, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Zaim, Meryem; Bassi, Filippo, 2025, "Durum Wheat CWR-derived lines multi-location field trial - Morocco 2023-2024", https://hdl.handle.net/20.500.11766.1/FK2/AFSDMO, MELDATA, V2
Assessment of Durum Wheat Crop Wild Relatives (CWR) derived lines: multi-location field trial conducted in Morocco during 2023-2024 cropping season.
Sep 1, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Devate, Narayana; Sanchez-Garcia, Miguel; Agrawal, Shiv Kumar, 2025, "Barley stage 2 - FFBYT_2024 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/UIQ9D0, MELDATA, V3
The dataset includes includes observation data about the study FFBYT_2024: Food and Fodder Barley Yield Trial 2024, Amlaha, India. 200 plots (3m2 each), Alpha latice design. Date of sowing 10-16 December 2023.
Sep 1, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Devate, Narayana; Sanchez-Garcia, Miguel; Agrawal, Shiv Kumar, 2025, "Barley stage 1 - FFMPYT_2024 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/J86T3A, MELDATA, V3
The dataset includes includes observation data about the study FFMPYT_2024: Food, Fodder and Malt barley Preliminary Yield Trial 2024, Amlaha, India. 400 plots (3m2 each), p-rep design. Date of sowing 10-16 December 2023.
Sep 1, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Yadav, Ashutosh, 2025, "Lentil - LIF4N_2024 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/3YTJML, MELDATA, V3
The dataset includes observation data about the study LIF4N_2024: Lentil International F4 Nursery 2024. Objective: The nursery contains segregating populations and is available for breeders to do single plant selection for local adaptation.
Sep 1, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Jakhar, Preeti, 2025, "Chickpea - CPYT1_2024 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/PKJZFX, MELDATA, V3
The dataset includes field book observation data about the study CPYT1_2024: Chickpea Preliminary Yield Trial 1 2024.
Sep 1, 2025 - International Livestock Research Institute
Cadilhon, Jean Joseph; Landmann, Dirk, 2015, "Nicaragua Learning Alliance monitoring and evaluation study 2014", https://hdl.handle.net/20.500.11766.1/FK2/QJYCUW, MELDATA, V9
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.
Sep 1, 2025 - Sustainable use and management of scarce water and land resources
Shiri, Zahra; Frija, Aymen; Rejeb, Hichem; Ouerghemmi, Hassen; Le, Quang Bao, 2024, "Land cover Kef-Siliana region (2017)", https://hdl.handle.net/20.500.11766.1/FK2/HNCLNU, MELDATA, V13
Land cover (LC) map of Kef-Siliana region in 2017. Source Data Coordinate System: Universal Transverse Mercator (UTM) WGS84. Source Data Coordinate System: Universal Transverse Mercator (UTM) WGS84. Service Coordinate System: Web Mercator Auxiliary Sphere WGS84 (EPSG:3857). Sourc...
Sep 1, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Gautam, Amit; Bassi, Filippo; Agrawal, Shiv Kumar, 2024, "Durum wheat stage 2 trial 2023 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/TZDFQF, MELDATA, V2
The dataset includes observation data from Durum wheat stage 2 trial 2023, India. The trial includes F6 generations material that shows stable and high yield performance over checks at Amlaha station.
Sep 1, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Devate, Narayana; Sanchez-Garcia, Miguel; Agrawal, Shiv Kumar, 2024, "Barley stage 2 - ASABYT_2023 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/FSPHUD, MELDATA, V3
The dataset includes includes observation data about the study ASABYT_2023: Arid and Semi-Arid regions Barley Yield Trial 2023, Amlaha, India. 400 plots (3m2 each), Alpha latice design. Date of sowing 15-25 November 2022.
Sep 1, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Jakhar, Preeti, 2025, "Chickpea - CPYT5_2024 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/X5BQLW, MELDATA, V3
The dataset includes field book observation data about the study CPYT5_2024: Chickpea Preliminary Yield Trial 5 2024.
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