MELDATA (International Center for Agricultural Research in the Dry Areas)
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270 research outputs found
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Rahba Potential Hot-spots Of Red Palm Weevil (RPW) Risk Based On Trap-data 2015
No full textThe layer was part of enhancing date palm integrated pest management and agricultural extension and technology transfer systems in Abu Dhabi project, the layer was generated from survey information on date palm in Abu Dhabi obtained from Abu Dhabi Farmers Services Center. The trap information for 2015 (number of red palm weevil that have been captured) has been used as an input to identifies statistically significant hot spot using the Getis-Ord Gi* statistic in ArcGIS platform. Please visit our website for more data. Information and download links are available in metadata
Varietal realeases from ICARDA germplasm 2018
No full textThe dataset contains a list of ICARDA varietal releases since 1977, including pedigree, selection history and specific features
Abergelle goat precipitation similarity in Ethiopia
No full textThis 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 precipitation similarity in Ethiopia at 30 arc-second (about 1 km) resolution, similarity in precipitation patterns were calculated using a Visual Basic program (climatic similarity) developed in ICARDA. precipitation similarity index is a distance function for precipitation draw inspiration from the ‘Match Index’ concept developed in the CLIMEX software. The precipitation of both the breed distribution areas and areas outside was obtained from WorldClim 2.0 (Hijmans et al., 2005a)
Protocol trainings - Mind the Gap project, Tunisia 2018
No full textThe dataset includes all trainings and capacity development activities of the Mind the Gap project between 2016 and 2018. It shows title, date, location and number of participants of the trainings. The activities helped to introduce and scale innovations like new barley variety and feed blocks
Doka watershed soil database
No full textSoil database as used for SWAT (Soil and Water Assesment Tool) for Doka watershed, Gedaref, Sudan. Data collected by the Land and Water Research Center (Laboratories Unit-Soil Analytical Data)
Rahba Potential Hot-spots Of Red Palm Weevil (RPW) Risk Based On Trap-data 2016
No full textThe layer was part of enhancing date palm integrated pest management and agricultural extension and technology transfer systems in Abu Dhabi project, the layer was generated from survey information on date palm in Abu Dhabi obtained from Abu Dhabi Farmers Services Center. The trap information for 2016 (number of red palm weevil that have been captured) has been used as an input to identifies statistically significant hot spot using the Getis-Ord Gi* statistic in ArcGIS platform. Please visit our website for more data. Information and download links are available in metadata
SWAT weather generator for Doka watershed
No full textThe dataset contains Soil and Water Assessment Tool (SWAT) for weather generator for Doka watershed, Sudan
Abergelle goat climate similarity in Ethiopia
No full textThis 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 climate similarity in Ethiopia at 30 arc-second (about 1 km) resolution. the map was calculated as the lowest of temperature and precipitation similarity index
Pixel-based cross-sectional data set of socio-ecological contextual and land productivity variables covering Ethiopia and Kenya
No full textThe 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 variables, respectively. Using these spatial coordinates of the pixels, the data represented in the file, or newly computed data from the data file, can be re-imported to a standard GIS software like ArcGIS (one raster layer is corresponding to one variable). For all variables, the value of -9999 indicates “no data”
Soil cracking baseline - preliminary monitoring results
No full textThe dataset contains a baseline on soil cracking: it includes preliminary monitoring results on the effect of different crops on soil cracking