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Dataset · Harvard Dataverse · September 6, 2026

Replication Data and Code for “Added Predictive Value and Temporal Transferability of MODIS and ERA5-Land Data for District-Level Wheat Yield Forecasting”

A. A. Pyagay, Dulat Kali, Nurzhamal Kashkimbayeva, Razali Yaakob

Abstract

This dataset contains the reproducibility materials supporting the manuscript “Added Predictive Value and Temporal Transferability of MODIS and ERA5-Land Data for District-Level Wheat Yield Forecasting.” It includes the processed district-year analytical panel for 17 districts of Akmola Region, Kazakhstan (2015–2025), administrative boundary data, reproducible Python scripts, complete expanding-window out-of-sample predictions for 2020–2025, Random Forest model outputs, M1–M5 data-source ablation results, paired district-cluster and observation-level bootstrap analyses, yield-history benchmarks, permutation-importance results, cropland-mask sensitivity and 2025 robustness analyses, all main manuscript tables and figures, supplementary Tables S1–S6, metadata, a reproducibility README, and a SHA-256 file manifest.

Remote Sensing in AgricultureSmart Agriculture and AIClimate change impacts on agriculturewheat yield predictionMODISERA5-Land

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