High-Resolution Aeromagnetic and Gravity Data for Offshore Mesozoic Basins
by Jack N. Turney·Updated 1mo ago
4.9 MB1files
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Description
High-resolution aeromagnetic and gravity survey data predicts at least ∼1,100 km³ of Central Atlantic Magmatic Province basalt in offshore New York Bight and Long Island basins. The dataset, authored by Jack N. Turney and last updated in May 2026, provides new constraints on basin structure and volcanic distribution along the eastern U.S. coastline. This analysis suggests offshore volcanic activity may have occurred during and after the main rifting phase, differing from previous models.
Use Cases
Modeling subsurface basin structure based on high-resolution magnetic and gravity data.
Estimating the volume and distribution of volcanic basalt flows in offshore rift basins.
Analyzing fault geometries and igneous material wedges from forward modeling and depth-to-source analyses.
Investigating the temporal relationship between volcanism and rifting phases in the central North American rift system.
Strengths
Data is derived from new high-resolution magnetic and gravity surveys, likely offering improved detail over legacy data.
The analysis provides a specific volumetric estimate of at least ∼1,100 km³ for predicted basalt flows.
The dataset is openly licensed under CC-BY-4.0, facilitating reuse and sharing.
Limitations
The primary data file is a 4.9 MB DOCX document, which may contain processed interpretations rather than raw survey data.
Column-level documentation and sample data are unavailable, making field semantics and structure unclear.
Row count and the exact format of underlying geospatial data are unknown.
Provenance
Source
Jack N. Turney via figshare.
Collection Method
Geopotential modeling of high-resolution aeromagnetic and gravity survey data.
Time Range
Mesozoic era (geological focus).
Freshness
Last updated 2026-05-08 05:53:49.
Geography
Offshore basins along the eastern U.S. coastline, specifically the New York Bight, Long Island, and Central Bight basins.
Primary data is provided as a DOCX document; specialized geospatial software may be required to interpret or utilize any embedded data.