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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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381 to 390 of 4,810 Results

Central Asia and NW China relative change in annual mean precipitation 2020s_A1b Apr 9, 2026 - Big Data and ICT Biradar, Chandrashekhar, 2015, "Central Asia and NW China relative change in annual mean precipitation 2020s_A1b", https://hdl.handle.net/20.500.11766.1/FK2/184AQQ, MELDATA, V6 Central Asia and North-West China (Xingjiang province) relative change in annual mean precipitation in 2020 according to IPCC near-term climate change scenario A1b
Central Asia and NW China absolute change of annual maximum temperature 2020s_A1b Apr 9, 2026 - Big Data and ICT Biradar, Chandrashekhar, 2015, "Central Asia and NW China absolute change of annual maximum temperature 2020s_A1b", https://hdl.handle.net/20.500.11766.1/FK2/C0HLKT, MELDATA, V7 Central Asia and North-West China (Xingjiang province) absolute change of annual maximum temperature in 2020 according to IPCC near-term climate change scenario A1b
Calibrated DSSAT models for cotton Apr 9, 2026 - Sustainable use and management of scarce water and land resources Nangia, Vinay, 2015, "Calibrated DSSAT models for cotton", https://hdl.handle.net/20.500.11766.1/FK2/A40B7M, MELDATA, V6 Calibrated DSSAT models for cotton in Khorezm region, Uzbekistan
Yield Map Cotton, 2013 Apr 9, 2026 - Big Data and ICT Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Yield Map Cotton, 2013", https://hdl.handle.net/20.500.11766.1/FK2/L9LMIW, MELDATA, V9 Yield map for cotton in Fergana valley, Uzbekistan in 2013. The map is part of a series on crop distribution from 2004 to 2015.
Yield Map Cotton, 2010 Apr 9, 2026 - Big Data and ICT Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Yield Map Cotton, 2010", https://hdl.handle.net/20.500.11766.1/FK2/PLZYZI, MELDATA, V12 Yield map for cotton in Fergana valley, Uzbekistan in 2010. The map is part of a series on crop distribution from 2004 to 2015.
Yield Map Cotton, 2004 Apr 9, 2026 - Big Data and ICT Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Yield Map Cotton, 2004", https://hdl.handle.net/20.500.11766.1/FK2/I8AVWW, MELDATA, V11 Yield map for winter wheat in Fergana valley, Uzbekistan in 2004. The map is part of a series on crop distribution from 2004 to 2015.
Crop Type Map of Fergana, 2012 Apr 9, 2026 - Big Data and ICT Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Crop Type Map of Fergana, 2012", https://hdl.handle.net/20.500.11766.1/FK2/XIITWH, MELDATA, V10 Land use map shows the spatial distribution of dominant crop types (at the per-parcel level) in the major part of the Fergana Valley in 2012. The map is part of a series on crop distribution from 2004 to 2015.
Crop Type Map of Fergana, 2007 Apr 9, 2026 - Big Data and ICT Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Crop Type Map of Fergana, 2007", https://hdl.handle.net/20.500.11766.1/FK2/MNQGI1, MELDATA, V9 Land use map shows the spatial distribution of dominant crop types (at the per-parcel level) in the major part of the Fergana Valley in 2007. The map is part of a series on crop distribution from 2004 to 2015.
Baseline survey on extension services influence on smallholder farmer's adoption of improved wheat variety Apr 9, 2026 - Building resilient integrated crop-livestock farming systems Yitayew, Asresu; Yigezu, Yigezu; Deneke, Tilaye; Abdulai, Awudu, 2019, "Baseline survey on extension services influence on smallholder farmer's adoption of improved wheat variety", https://hdl.handle.net/20.500.11766.1/FK2/NCCYHG, MELDATA, V11 The study is part of project “Designing effective extension service delivery systems for enhancing wider adoption of agricultural technologies”. The project aims to understand how extension services influence smallholder farmers’ decisions to adopt a new improved wheat variety, b...
20th International Winter Wheat Trial - Semi Arid condition (20IWWYT-SA) Apr 9, 2026 - Collect, Conserve and Use Agricultural Biodiversity Keser, Mesut; Özdemir, Fatih; Morgunov, Alexey Ivanovich; Akin, Beyhan, 2020, "20th International Winter Wheat Trial - Semi Arid condition (20IWWYT-SA)", https://hdl.handle.net/20.500.11766.1/FK2/6513PJ, MELDATA, V10 The dataset contains data from the 20th International Winter Wheat Yield Trial - Semi Arid condition (IWWYT-SA), as part of the International Nursery data for Winter Facultative Wheat report for 2018. The genotypes developed by IWWIP have been tested in replicated trials in multi...

Central Asia and NW China relative change in annual mean precipitation 2020s_A1b

Apr 9, 2026 - Big Data and ICT

Biradar, Chandrashekhar, 2015, "Central Asia and NW China relative change in annual mean precipitation 2020s_A1b", https://hdl.handle.net/20.500.11766.1/FK2/184AQQ, MELDATA, V6

Central Asia and North-West China (Xingjiang province) relative change in annual mean precipitation in 2020 according to IPCC near-term climate change scenario A1b

Central Asia and NW China absolute change of annual maximum temperature 2020s_A1b

Apr 9, 2026 - Big Data and ICT

Biradar, Chandrashekhar, 2015, "Central Asia and NW China absolute change of annual maximum temperature 2020s_A1b", https://hdl.handle.net/20.500.11766.1/FK2/C0HLKT, MELDATA, V7

Central Asia and North-West China (Xingjiang province) absolute change of annual maximum temperature in 2020 according to IPCC near-term climate change scenario A1b

Calibrated DSSAT models for cotton

Apr 9, 2026 - Sustainable use and management of scarce water and land resources

Nangia, Vinay, 2015, "Calibrated DSSAT models for cotton", https://hdl.handle.net/20.500.11766.1/FK2/A40B7M, MELDATA, V6

Calibrated DSSAT models for cotton in Khorezm region, Uzbekistan

Yield Map Cotton, 2013

Apr 9, 2026 - Big Data and ICT

Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Yield Map Cotton, 2013", https://hdl.handle.net/20.500.11766.1/FK2/L9LMIW, MELDATA, V9

Yield map for cotton in Fergana valley, Uzbekistan in 2013. The map is part of a series on crop distribution from 2004 to 2015.

Yield Map Cotton, 2010

Apr 9, 2026 - Big Data and ICT

Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Yield Map Cotton, 2010", https://hdl.handle.net/20.500.11766.1/FK2/PLZYZI, MELDATA, V12

Yield map for cotton in Fergana valley, Uzbekistan in 2010. The map is part of a series on crop distribution from 2004 to 2015.

Yield Map Cotton, 2004

Apr 9, 2026 - Big Data and ICT

Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Yield Map Cotton, 2004", https://hdl.handle.net/20.500.11766.1/FK2/I8AVWW, MELDATA, V11

Yield map for winter wheat in Fergana valley, Uzbekistan in 2004. The map is part of a series on crop distribution from 2004 to 2015.

Crop Type Map of Fergana, 2012

Apr 9, 2026 - Big Data and ICT

Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Crop Type Map of Fergana, 2012", https://hdl.handle.net/20.500.11766.1/FK2/XIITWH, MELDATA, V10

Land use map shows the spatial distribution of dominant crop types (at the per-parcel level) in the major part of the Fergana Valley in 2012. The map is part of a series on crop distribution from 2004 to 2015.

Crop Type Map of Fergana, 2007

Apr 9, 2026 - Big Data and ICT

Biradar, Chandrashekhar; Loew, Fabian; Fliemann, Elisabeth, 2016, "Crop Type Map of Fergana, 2007", https://hdl.handle.net/20.500.11766.1/FK2/MNQGI1, MELDATA, V9

Land use map shows the spatial distribution of dominant crop types (at the per-parcel level) in the major part of the Fergana Valley in 2007. The map is part of a series on crop distribution from 2004 to 2015.

Baseline survey on extension services influence on smallholder farmer's adoption of improved wheat variety

Apr 9, 2026 - Building resilient integrated crop-livestock farming systems

Yitayew, Asresu; Yigezu, Yigezu; Deneke, Tilaye; Abdulai, Awudu, 2019, "Baseline survey on extension services influence on smallholder farmer's adoption of improved wheat variety", https://hdl.handle.net/20.500.11766.1/FK2/NCCYHG, MELDATA, V11

The study is part of project “Designing effective extension service delivery systems for enhancing wider adoption of agricultural technologies”. The project aims to understand how extension services influence smallholder farmers’ decisions to adopt a new improved wheat variety, b...

20th International Winter Wheat Trial - Semi Arid condition (20IWWYT-SA)

Apr 9, 2026 - Collect, Conserve and Use Agricultural Biodiversity

Keser, Mesut; Özdemir, Fatih; Morgunov, Alexey Ivanovich; Akin, Beyhan, 2020, "20th International Winter Wheat Trial - Semi Arid condition (20IWWYT-SA)", https://hdl.handle.net/20.500.11766.1/FK2/6513PJ, MELDATA, V10

The dataset contains data from the 20th International Winter Wheat Yield Trial - Semi Arid condition (IWWYT-SA), as part of the International Nursery data for Winter Facultative Wheat report for 2018. The genotypes developed by IWWIP have been tested in replicated trials in multi...

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