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Seleno-Gravitational Rhythm (SGR): Research code, data pipeline and meta-analysis of lunar tidal jerk effects on human behavior and health

Authors: Tysiatskii, Artem;

Seleno-Gravitational Rhythm (SGR): Research code, data pipeline and meta-analysis of lunar tidal jerk effects on human behavior and health

Abstract

Open Python pipeline and cross-city meta-analysis of impulsive lunar tidal waves (second derivative of the tidal potential) as a modulator of human consciousness, behavior and somatic health, based on >106 million records from seven public US municipal databases (2001-2025).

If you use this software or data, please cite both the software (this file) and the accompanying Zenodo archive.

Keywords

data engineering, ddF detector, HPA axis, seleno-gravitational rhythm, open data, circadian regulation, human behavior, consciousness, meta-analysis, HKSJ, SGR, PIEZO1, epidemiology, lunar tidal jerk, chronobiology, data pipeline, gravitational biology, mechanotransduction, somatic health, Python

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average