Manganese Nodules from the Tasman Sea, 4300 Meter Depth
Updated 2mo ago
2filesPDF
Available on 1 platform
Sign in to view source links and access this dataset
Description
Two manganese nodules recovered by HMAS Kimbla from a water depth of 4300 meters, about 250 nautical miles southeast of Sydney. The nodules are subspherical, about 10 cm in diameter, and have a high clay content, a low Mn:Fe ratio, and low contents of Ni (0.25%), Cu (0.17%) and Co (0.06%). The data is provided by Geoscience Australia and was last updated in April 2026.
Use Cases
Analyze the geochemical composition of deep-sea manganese nodules based on reported Ni, Cu, and Co percentages.
Study the morphology and formation environment of nodules based on described size, shape, and associated calcareous mud.
Model the distribution of marine mineral resources in the Tasman Sea region based on the specific location coordinates.
Investigate the relationship between nodule composition and deposition depth based on the 4300 meter depth and position relative to the lysocline.
Strengths
Provides precise location coordinates (155° 35E, 36° 15S) and depth (4300 m) for the sample recovery.
Includes specific geochemical measurements for Ni (0.25%), Cu (0.17%), and Co (0.06%) content.
Describes physical characteristics including nodule diameter (~10 cm), shape (subspherical), and clay content.
Limitations
Row count is unknown, which may limit suitability assessment.
Column-level documentation is absent; field semantics must be inferred after download.
The dataset appears to describe only two physical samples, which is a very small sample size.
Provenance
Source
Geoscience Australia Data
Collection Method
Recovered by HMAS Kimbla.
Time Range
Recently recovered (specific date not provided).
Freshness
Last updated 2026-04 20 01:07:02.700366; freshness should be verified.
Geography
Tasman Sea, in a northeast-trending trough about 250 nautical miles southeast of Sydney (155° 35E, 36° 15S).
Data is provided in PDF and HTML formats, which may require extraction for computational analysis.