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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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511 to 520 of 608 Results
Feb 11, 2023 - Climate adapted crops and livestock
Atassi, Layal; Biradar, Chandrashekhar; Mwacharo, Joram; Haile, Aynalem, 2019, "Abergelle goat soil similarity in Ethiopia", https://hdl.handle.net/20.500.11766.1/3PTSM2, MELDATA, V6
This map was prepared for Livestock and fish CRP project for Mapping breeds to appropriate production environments: a case study of Ethiopian indigenous sheep and goats. Abergelle goat Soil similarity in Ethiopia at 30 arc-second (about 1 km) resolution. Soil similarity was asses...
Feb 11, 2023 - Climate adapted crops and livestock
Bassi, Filippo, 2018, "DIIVA-PR trials in Morocco, 2018-2019 season", https://hdl.handle.net/20.500.11766.1/FK2/GSQCES, MELDATA, V3
The map shows the geographical distibution of DIIVA-PR trials conducted in Morocco during the season 2018-2019. This work was carried under the project DIIVA-PR: “Dissemination of Interspecific ICARDA Varieties and Elites through Participatory Research” aimed to evaluate the adva...
Feb 11, 2023 - Scaling-up of proven technological packages
Dessalegn, Bezaiet; Dhehibi, Boubaker; Swelam, Atef, 2019, "Assiut_Egypt_Key Informant Interview Database", https://hdl.handle.net/20.500.11766.1/FK2/B8MA3S, MELDATA, V2
The aim of this research is to assess and evaluate the differences in technology delivery mechanisms employed by private and public service providers including targeted beneficiaries, criteria for service delivery, equitable accessibility of the services to all groups of the soci...
Feb 11, 2023 - Climate adapted crops and livestock
Atassi, Layal; Biradar, Chandrashekhar; Mwacharo, Joram; Haile, Aynalem, 2019, "Abergelle goat temperature similarity in Ethiopia", https://hdl.handle.net/20.500.11766.1/BOW4EN, MELDATA, V4
This map was prepared for Livestock and fish CRP project for Mapping breeds to appropriate production environments: a case study of Ethiopian indigenous sheep and goats. Abergelle goat temperature similarity in Ethiopia at 30 arc-second (about 1 km) resolution. Similarity in temp...
Feb 11, 2023 - Building resilient integrated crop-livestock farming systems
Le, Quang Bao, 2019, "Pixel-based cross-sectional data set of socio-ecological contextual and land productivity variables covering Ethiopia and Kenya", https://hdl.handle.net/20.500.11766.1/FK2/9VYLH4, MELDATA, V4
The dataset contains pixel-based data of variables for Ethiopia and Kenya. Each data record (i.e. each row) is corresponding to one pixel of approximately 1 km2. The longitude and latitude coordinates of the pixel center (in decimal degree, GCS WGS 1984 datum) are the X and Y var...
Feb 11, 2023 - Scaling-up of proven technological packages
Wamatu, Jane; Ephrem, Nahom, 2019, "Weight gains of rams of TAAT Sheep fattening scaling project beneficiaries", https://hdl.handle.net/20.500.11766.1/0PVF9Q, MELDATA, V4
The TAAT project is scaling up adoption of improved sheep fattening technology and practices in Ethiopia through implementation of benchmark sites which comprise sheep fattening youth groups and model champion farmers. The dataset contains the results of a sheep fattening experim...
Feb 11, 2023 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Central Asia and NW China annual average of monthly maximum temperature 2020s_A1b", https://hdl.handle.net/20.500.11766.1/FK2/YW2EPD, MELDATA, V5
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
Feb 11, 2023 - 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, V5
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
Feb 11, 2023 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Central Asia and NW China annual average of monthly minimum temperature 2020s_A2", https://hdl.handle.net/20.500.11766.1/FK2/9GIFQ5, MELDATA, V4
Central Asia and North-West China (Xingjiang province) annual average of monthly minimum temperature in 2020 according to IPCC near-term climate change scenario A2
Feb 11, 2023 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Central Asia and NW China absolute change of the annual minimum temperature 2020s_A1b", https://hdl.handle.net/20.500.11766.1/FK2/OPNQUD, MELDATA, V5
Central Asia and North-West China (Xingjiang province) absolute change of annual minimum temperature in 2020 according to IPCC near-term climate change scenario A1b
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