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Data · dataset · 2026

A 44-Year FAIR–Aligned Maize Phenology Dataset from 101 Stations Across China's Huang-Huai-Hai Plain (1981–2024)

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The dataset presents a comprehensive, long-term dataset documenting maize phenology dynamics across China's Huang-Huai-Hai Plain (HHHP), a critical area for national grain production.

Description

Spanning the period 1981–2024, the dataset integrates observations from 101 agrometeorological stations across eight provinces and municipalities, capturing ten key phenological stages, from sowing to maturity, and deriving four critical growth lengths.

A multi-tiered quality control protocol, including automated consistency checks, climate data cross-referencing, and expert arbitration, was applied to ensure data integrity. Analytical outputs include kernel density estimation for characterizing probability distributions and univariate linear regression for quantifying decadal trends. These trends reflect combined climatic and management influences and should not be attributed solely to climate change.

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The dataset comprises 1,616 diagnostic plots in JPEG format and two core data tables in XLSX format, with a total uncompressed volume of 1.50 GB. The aggregated statistics, diagnostic plots, and analysis code are openly available under CC BY 4.0. Raw annual day-of-year (DOY) time series and precise station coordinates are not included in the public release due to China Meteorological Administration data-sharing regulations; they can be requested through the official CMA data service platform following the prescribed data use agreement.

This FAIR-aligned, openly available aggregated data resource supports diverse applications in climate impact assessment, crop model improvement, and adaptation strategy development, contributing to global efforts in sustainable agriculture and food security.

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Catalogue records · 1

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Inferred from text
Crop and pasture production 71%
Provenance · 1 source records, 11 field assertions
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ScienceDB10.57760/sciencedb.3207612 d agoJSON v1
FieldAssertionExtractorEvidence
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