ArticleScientific data2026
A spatiotemporally harmonized dataset of utility-reported power outages and NWS VTEC weather warnings for the contiguous United States (2015-2024).
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Power grids across the United States are increasingly exposed to weather-related disruption, yet reproducible analyses are limited by differences in the spatial and temporal structure of outage and meteorological records. This Data Descriptor presents a harmonized, event-based archive linking county-level customer power-outage records from the U.S. Department of Energy EAGLE-I platform with National Weather Service watches, warnings and advisories encoded through the Valid Time Event Code system. The archive spans the contiguous United States from 2015 through 2024. The primary released file contains hourly indexed, positive processed outage observations that overlap at least one VTEC warning and include event identifiers, matched warning types, and source-record availability diagnostics. Companion files provide the consolidated warning archive, daily county-level EAGLE-I source-record availability and sensitivity summaries evaluating missing-record treatment, temporal aggregation, and recovery persistence. Technical validation quantifies the consequences of preprocessing assumptions and documents spatial, temporal and warning-matching consistency. The dataset supports reproducible analysis of spatiotemporal co-occurrence between reported power disruptions and operational weather warnings while explicitly retaining limitations associated with the underlying outage record.
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Registered trials
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