five

Developing climate-adaptative crop decision-making frameworks for smallholders in Senegal: an in-silico approach

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://doi.org/10.7910/DVN/K9MWTT
下载链接
链接失效反馈
官方服务:
资源简介:
Developing climate-adaptative crop decision-making frameworks for smallholders in Senegal: an in-silico approach (under review). Simulations.csv file contains: Site: Corresponds to the name of the nearest city Year: Is the year of planting. Cultivar: Is the genotype employed. PlantDate, is the planting date. N: is the N doses expressed as kg of urea per hectare. PlanDensity: is the plant density expressed as plants per m2. Yield: is the grain yield expressed as kg per hectare. Crop: is one of Millet, Sorghum, Peanut or Mungbean. meanT: is the mean temperature of the year. rain: is the cumulative rain of the year. Warming: is the factor in which the daily mean temperature was affected in the simulations: You have to split this value by 10 to have the correct value. E.g. if there was an increase of 2.5oC, this column will say 25. The rest of the files contain observed data employed in the calibration and validation of the model. More details are provided in the protocol file. Lastly, the soil analysis characterizing each site are also provided.
创建时间:
2024-04-11
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作