Replication Data for soft wheat analysis in "Identification of critical timing when abnormal weather affects maize and soft wheat yields in Italy using functional quantile regression"

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Authors: Nota Paolo, Bocchi Giovanni
Cited by: 0

Abstract

This dataset contains data to replicate the analysis of the timing of weather anomalies on soft wheat yields using a functional linear regression model. wheat_temp_hours.csv.xz: contains hourly temperature data for Italian provinces from 1952 to 2023, limited to the period from February to June. wheat_prec_daily.csv.xz: contains daily precipitation data for Italian provinces from 1952 to 2023, limited to the period from February to June. wheat_yields.csv: contains wheat yields data for Italian provinces from 1952 to 2023.

Fields of Study & Subjects

Climate change impacts on agriculture Remote Sensing in Agriculture Climate variability and models

Publication details

Journal / source
Università degli Studi di Milano
Publication date
10 February 2026
Language
EN
Document type
Dataset