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.
- 1Meteorological Observation Centre of China Meteorological Administration (CMA), Beijing, 100081, China.
- 2State Key Laboratory of Environment Characteristics and Effects for Near-space, Beijing, 100081, China.
- 3Engineering Technology Research Center for Meteorological Observation of CMA, Beijing, 100081, China.
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.
Related
- Summer seasonal precipitation prediction in the middle and lower reaches of the Yangtze River using neural network approaches
- Standardizing a human TBMNK cell assay across instrument platforms: a new framework for producing high-quality, AI-ready reference dataset
- Factors associated with microbiological non-compliance in ready-to-eat foods: A seven-year analysis of official food safety surveillance data in a tropical low- and middle-income country
- Toward naturalistic reaching: Intermediate reaches under uncertainty generalize to walking, but are not obligatory
- iNaturalist records reveal shifts in phenology of caterpillar (Lepidoptera) activity in response to warmer spring temperatures
BibTeX
@article{zhang2026longterm,
title = {{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.}},
author = {Quan-Jun Zhang and Dong-Li Wu},
journal = {Data in brief},
year = {2026},
month = aug,
doi = {10.1016/j.dib.2026.113310},
url = {https://europepmc.org/article/MED/42909410},
note = {CC BY-NC},
}
RIS
TY - JOUR
TI - 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.
AU - Quan-Jun Zhang
AU - Dong-Li Wu
PY - 2026
DA - 2026/08/01
JO - Data in brief
DO - 10.1016/j.dib.2026.113310
UR - https://europepmc.org/article/MED/42909410
AB - 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.
SN - 2352-3409
ER -