Soil Water-Holding Capacity Moderates Corn Yield Sensitivity to Compound Heat–Drought Extremes in U.S. Rainfed Production
Description
This dataset acts as a Reproduction Package intended for econometric analysis. Below is a structured description of the file’s contents: Dataset Overview: Corn Yield & Agroclimatic Panel Data Primary Purpose: This dataset provides the necessary variables to reproduce a specific econometric study investigating how soil water-holding capacity (buffering) affects corn yield sensitivity to compound heat and drought extremes in rainfed U.S. agriculture. Data Structure: It is a state-year panel dataset, meaning observations are aggregated at the US state level for each year. Temporal Scope: 2000–2026 (Note: The authors specify that 2026 is incomplete and should be excluded, leaving a valid analysis window of 2000–2025). Key Variables: Yield Metrics: Corn yield anomalies and production data. Climatic Variables: Annual precipitation, daily maximum/minimum temperatures, evapotranspiration, and solar radiation. Soil Parameters: Soil pH and indices related to water-holding capacity (buffering). Provenance/Nature: This is a secondary, pre-compiled collection. It does not contain raw daily station-level weather data or field-level soil samples. Instead, it provides the “as-supplied” aggregated panel required for the fixed-effects OLS regression models described in the Reproduction_Steps sheet. Documentation: The workbook includes dedicated sheets (README, Pipeline_Map, Reproduction_Steps) that map the raw source columns to the analytical variables used in the original research, ensuring transparency in how the data was cleaned and transformed.