Data · dataset · 2026
Soil Water-Holding Capacity Moderates Corn Yield Sensitivity to Compound Heat–Drought Extremes in U.S. Rainfed Production
Listed in Teesside University Research Data Repository
This dataset acts as a Reproduction Package intended for econometric analysis.
Description
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 (
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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.
Links
Where it is published
- DOI doi.org/10.17632/39nxnyw6hm.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Agriculture, land and farm management 74%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/39nxnyw6hm.1 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:3002 | enrichment · researchdata tees ac uk | taxonomy-embedding@1.0.0 | title+keywords+description (74%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |