A long-term, analysis-ready dataset of rice phenology in middle and lower reaches of the Yangtze River Plain of China from 1981 to 2024

IF 1.9 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2026-08-01 Epub Date: 2026-10-07 DOI:10.1016/j.dib.2026.113310

Quan-Jun Zhang, Dong-Li Wu

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引用次数: 0

Abstract

Background

Quantifying the impact of climate change on rice production, a cornerstone of global food security, requires long-term, spatially explicit, and readily analyzable phenological data. While the Middle and Lower Yangtze River Plain (MLYRP) is China's primary rice bowl, a critical gap persists: the lack of a publicly available, multi-decadal, station-based dataset that provides not only raw phenological dates but also curated statistical trends for the entire growth cycle, tailored for immediate reuse by the research community.

The dataset

To bridge this gap, we present “MLYRP-rice phenology data”, a foundational dataset characterizing rice phenology dynamics across the MLYRP from 1981 to 2024. Derived from rigorously quality-controlled records of 95 national agrometeorological stations, this dataset is architected for reuse, offering two synergistic products: (1) A visualization collection comprising 2,432 high-resolution graphs that intuitively depict the probability distribution and temporal trends of 11 phenological stages and 3 growth phase lengths via kernel density estimation and linear regression. (2) A machine-actionable statistical core, structured as an Excel spreadsheet, which provides the complete results of the linear trend analysis (including slope, intercept, R², F-value, and p-value) for every station and variable.

Value and potential for reuse

This dataset transcends a mere data compilation by delivering an analysis-ready product. It is designed as a community benchmark to directly facilitate crop model validation, climate-impact meta-analyses, remote sensing product verification, and data-driven agricultural adaptation planning. By providing pre-computed, statistically robust trends, “MLYRP-rice phenology data” establishes an indispensable empirical foundation for detecting and attributing climate impacts on one of the world's most critical agricultural systems.

Availability

The dataset is open-access and available at https://doi.org/10.57760/sciencedb.25297.

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1981 - 2024年长江平原中下游水稻物候特征长期数据集

作为全球粮食安全的基石，量化气候变化对水稻生产的影响需要长期的、空间上明确的、易于分析的物候数据。虽然长江中下游平原（MLYRP）是中国的主要水稻产区，但一个关键的差距仍然存在：缺乏一个公开可用的、多年代际的、基于站点的数据集，该数据集不仅提供原始物候数据，而且还提供整个生长周期的统计趋势，供研究界立即使用。为了弥补这一差距，我们提出了“MLYRP-水稻物候数据”，这是一个表征1981年至2024年MLYRP水稻物候动态的基础数据集。该数据集来源于95个国家农业气象站的严格质量控制记录，可重复使用，提供两种协同产品：(1)通过核密度估计和线性回归，直观地描述了11个物候阶段和3个生长期长度的概率分布和时间趋势，包括2,432个高分辨率图形的可视化集合。(2)机器可操作的统计核心，结构为Excel电子表格，提供每个站点和变量的线性趋势分析的完整结果（包括斜率，截距，R²，f值和p值）。这个数据集超越了单纯的数据汇编，提供了一个可供分析的产品。它被设计为一个社区基准，直接促进作物模型验证、气候影响元分析、遥感产品验证和数据驱动的农业适应规划。通过提供预先计算的、统计上可靠的趋势，“mlyrp -水稻物候数据”为检测和归因于气候对世界上最重要的农业系统之一的影响建立了不可或缺的经验基础。可用性该数据集是开放访问的，可在https://doi.org/10.57760/sciencedb.25297上获得。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.