Replication Data for soft wheat analysis in "The impact of abnormal temperatures on crop yields in Italy: a functional quantile regression approach"
收藏DataCite Commons2026-04-27 更新2026-05-07 收录
下载链接：
https://dataverse.unimi.it/citation?persistentId=doi:10.13130/RD_UNIMI/QZ7UNY
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资源简介：
This dataset contains data to replicate the analysis of the timing of weather anomalies on soft wheat yields using a functional linear regression model.
<ul>
<li> wheat_temp_hours.csv.xz: contains hourly temperature data for Italian provinces from 1952 to 2023, limited to the period from February to June. </li>
<li> wheat_prec_daily.csv.xz: contains daily precipitation data for Italian provinces from 1952 to 2023, limited to the period from February to June. </li>
<li> wheat_yields.csv: contains wheat yields data for Italian provinces from 1952 to 2023.</li>
</ul>
提供机构：
UNIMI Dataverse
创建时间：
2026-02-10
