Marine Geophysical Survey Data from Scott Plateau to Java Trench, 1977
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Description
Geoscientific data collected by the R.V. Valdivia in 1977 includes 1700 km of 24-channel seismic data, 2550 km of bathymetric, gravity, and magnetic data, and 31 bottom samples. The survey covered the Scott Plateau off northwest Australia to the Java Trench, with water depths from 2000 m to 5800 m. The dataset provides information on geological structures, sediment layers, and calcite compensation depth changes.
Use Cases
Modeling tectonic plate interactions based on seismic profiles and fault directions described.
Analyzing sedimentation rates and calcite compensation depth changes over time based on core sample data.
Mapping seafloor topography and geological features using the bathymetric, gravity, and magnetic survey lines.
Studying the evolution of continental margins based on descriptions of rifts, transforms, and foundered blocks.
Strengths
Includes 1700 km of 24-channel seismic data and 2550 km of bathymetric, gravity, and magnetic data.
Contains 31 physical bottom samples providing ground-truth for seismic sequences.
Covers a significant transect from a continental plateau to a deep-sea trench, with water depths ranging from 2000 m to 5800 m.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Data is from a single survey in 1977; temporal coverage is limited.
Row count and file size are unknown, which may limit suitability assessment.
Provenance
Source
Australian Ocean Data Network via data_gov_au.
Collection Method
Collected during a 1977 marine survey by the R.V. Valdivia using seismic, bathymetric, gravity, magnetic, and coring equipment.
Time Range
1977 (survey year). Core samples contain material from the Late Jurassic to the Holocene.
Freshness
Last updated 2026-06-05 07:16:34.933445; freshness should be verified as the underlying data is from 1977.
Geography
Scott Plateau off northwest Australia to the Java Trench, including the Argo Abyssal Plain and Roti Basin.
Primary file formats are PDF and HTML, which may require extraction or conversion for quantitative analysis.