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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 579 Results
Sep 3, 2024 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Characterization of crop fallows for agricultural intensification, Mapping end date of crop fallows in Eastern Gangetic plains from 2000 to 2014", https://hdl.handle.net/20.500.11766.1/9B5PAP, MELDATA, V3
This dataset contains characterization of the crop fallows using remote sensing for agricultural intensification and diversification in Eastern Gangetic plains from 2000 to 2014. Time series satellite data (MODIS and Landsat) were used to map the length of crop fallows in days (d...
Sep 3, 2024 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Characterization of crop fallows for agricultural intensification, Mapping start date of the crop fallows in Eastern Gangetic plains from 2000 to 2014", https://hdl.handle.net/20.500.11766.1/7QRGVG, MELDATA, V2
This dataset contains characterization of the crop fallows using remote sensing for agricultural intensification and diversification in Eastern Gangetic plains from 2000 to 2014. Time series satellite data (MODIS and Landsat) were used to map the length of crop fallows in days (d...
Aug 29, 2024 - International Livestock Research Institute
Campbell, Zoe; Bett, Bernard; Abdi, Adan; Guyo, Boru; Mwongela, Dennis, 2024, "Modifying a Rift Valley fever vaccination campaign in Isiolo County, Kenya to reduce gendered barriers to accessing livestock vaccines", https://hdl.handle.net/20.500.11766.1/FK2/ZF0SFN, MELDATA, V2
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.
Aug 28, 2024 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Characterization of crop fallows for agricultural intensification, length of crop fallows duration between two crops in one year in Eastern Gangetic plains from 2000 to 2014", https://hdl.handle.net/20.500.11766.1/FYTDWG, MELDATA, V6
This dataset contains characterization of the crop fallows using remote sensing for agricultural intensification and diversification in Eastern Gangetic plains from 2000 to 2014. Time series satellite data (MODIS and Landsat) were used to map the length of crop fallows in days (d...
Aug 21, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Gatum, Amit; Bassi, Filippo; Agrawal, Shiv Kumar, 2024, "Durum wheat stage 2 - IDYT_2023 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/KNPWBZ, MELDATA, V1
The dataset includes includes observation data about the study IDYT_2023: International Durum Yield Trial 2023, Amlaha, India. 25 entries including one national and one international check. The trials includes genotypes for drought tolerance, high quality traits and resistance to...
Aug 21, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Devate, Narayana; Sanchez-Garcia, Miguel; Agrawal, Shiv Kumar, 2024, "Barley stage 2 - MFBYT_2023 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/15RCSF, MELDATA, V1
The dataset includes includes observation data about the study MFBYT_2023: Malt and Fodder Barley Yield Trial 2023, Amlaha, India. 200 plots (3m2 each), Alpha latice design. Date of sowing 15-25 November 2022.
Aug 21, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Devate, Narayana; Sanchez-Garcia, Miguel; Agrawal, Shiv Kumar, 2024, "Barley stage 1 - FFMPYT_2023 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/7D8XMR, MELDATA, V1
The dataset includes includes observation data about the study FFMPYT_2023: Food, Fodder and Malt barley Preliminary Yield Trial 2023, Amlaha, India. 400 plots (3m2 each), p-rep design. Date of sowing 15-25 November 2022.
Aug 21, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Devate, Narayana; Sanchez-Garcia, Miguel; Agrawal, Shiv Kumar, 2024, "Barley stage 2 - FFFBYT_2023 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/88X5DR, MELDATA, V1
The dataset includes includes observation data about the study FFFBYT_2023: Feed and Forage Barley for Favorable environments Yield Trial 2023, Amlaha, India. 400 plots (3m2 each), Alpha latice design. Date of sowing 15-25 November 2022.
Aug 21, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Devate, Narayana; Sanchez-Garcia, Miguel; Agrawal, Shiv Kumar, 2024, "Barley stage 2 - FFBYT_2023 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/UVO7XP, MELDATA, V1
The dataset includes includes observation data about the study FFBYT_2023: Food and Fodder Barley Yield Trial 2023, Amlaha, India. 120 plots (3m2 each), Alpha latice design. Date of sowing 15-25 November 2022.
Aug 21, 2024 - 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, V1
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.
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