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    <responseDate>2026-10-14T03:57:04Z</responseDate>
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            <header>
                <identifier>oai:data.mendeley.com/39nxnyw6hm.1</identifier>
                <datestamp>2026-09-22T18:03:34Z</datestamp>
            </header>
            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Madani, Ahad</dc:creator>
    <dc:title>Soil Water-Holding Capacity Moderates Corn Yield Sensitivity to Compound Heat–Drought Extremes in U.S. Rainfed Production</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc: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 &amp; 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.</dc:description>
    <dc:subject>Climate Change Adaptation</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/39nxnyw6hm.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/39nxnyw6hm.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/39nxnyw6hm</dc:relation>
    <dc:date>2026-09-22T18:03:34Z</dc:date>
</oai_dc:dc></metadata>
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