521 to 530 of 608 Results
Feb 11, 2023 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Central Asia and NW China absolute change of annual minimum temperature 2020s_A2", https://hdl.handle.net/20.500.11766.1/FK2/LRM1Z7, MELDATA, V4
Central Asia and North-West China (Xingjiang province) absolute change of annual 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 annual mean precipitation 2020s_A1b", https://hdl.handle.net/20.500.11766.1/FK2/AHVZDB, MELDATA, V5
Central Asia and North-West China (Xingjiang province) absolute change of annual mean precipitation in 2020 according to IPCC near-term climate change scenario A1b |
Feb 11, 2023 - Sustainable use and management of scarce water and land resources
Strohmeier, Stefan, 2020, "Soil cracking baseline - preliminary monitoring results", https://hdl.handle.net/20.500.11766.1/FK2/XNKBCN, MELDATA, V4
The dataset contains a baseline on soil cracking: it includes preliminary monitoring results on the effect of different crops on soil cracking. |
Feb 11, 2023 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Central Asia and NW China annual average of monthly minimum temperature 2020s_A1b", https://hdl.handle.net/20.500.11766.1/FK2/WDL6EV, MELDATA, V4
Central Asia and North-West China (Xingjiang province) annual average in monthly minimum 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 absolute change of the annual maximum temperature 2020s_A2", https://hdl.handle.net/20.500.11766.1/FK2/H4RWHJ, MELDATA, V4
Central Asia and North-West China (Xingjiang province) absolute change of annual maximum temperature in 2020 according to IPCC near-term climate change scenario A2 |
Feb 11, 2023 - Sustainable use and management of scarce water and land resources
Tarekegn, Alemu; Demsew, Yengusie, 2020, "Adaptability of Different Sweet Lupin Varieties for Feed production", https://hdl.handle.net/20.500.11766.1/FK2/LIMQJ3, MELDATA, V2
Final dataset from agronomic experiment in Gumara Maksegnit (2016), as elaborated by GARC researchers in charge for this trial (Alemu Tarekegn and Yengusie Demsew). Please contact author and contact person at ICARDA to obtain more detailed metadata or to propose collaboration. |
Feb 11, 2023 - Building resilient integrated crop-livestock farming systems
Majid, Abdul, 2019, "Comparison between maize, millet and guar improved and local varieties for green fodder and dry matter yield - Pakistan 2015", https://hdl.handle.net/20.500.11766.1/FK2/R0KNBQ, MELDATA, V3
The dataset contanins a data comparison between improved maize, millet and guar variety vs. local varieties for green fodder yield (GFY) and dry matter yield (DMY). The data are from 2 farmers fields at Latifal and Saghar village at Chakwal site (Pakistan). |
Feb 10, 2023 - Climate adapted crops and livestock
Bishaw, Zewdie; Niane, Abdoul Aziz, 2019, "Varietal realeases from ICARDA germplasm 2018", https://hdl.handle.net/20.500.11766.1/FK2/CHIKBH, MELDATA, V3
The dataset contains a list of ICARDA varietal releases since 1977, including pedigree, selection history and specific features. |
Feb 10, 2023 - Climate adapted crops and livestock
Verma, Ramesh Pal Singh; Singh, Murari; Gyawali, Sanjaya, 2016, "Datasets on High Input Barley Trials 2014", https://hdl.handle.net/20.500.11766.1/FK2/PSLKTA, MELDATA, V3
The dataset contains the results of a high Input barley trials carried on in Morocco and Lebanon during the cropping season 2013-2014. |
Feb 10, 2023 - Big Data and ICT
Biradar, Chandrashekhar, 2015, "Central Asia and NW China annual mean precipitation 2020s_A2", https://hdl.handle.net/20.500.11766.1/FK2/8HWJXZ, MELDATA, V7
Central Asia and North-West China (Xingjiang province) annual mean precipitation in 2020 according to IPCC near-term climate change scenario A2 |