Chemical composition of Fe-Mn ores from the North Pacific seamounts
Cobertura |
MEDIAN LATITUDE: 21.732237 * MEDIAN LONGITUDE: 171.460514 * SOUTH-BOUND LATITUDE: 18.320000 * WEST-BOUND LONGITUDE: 152.216700 * NORTH-BOUND LATITUDE: 26.553300 * EAST-BOUND LONGITUDE: -170.548300 |
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Data(s) |
31/01/1987
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Resumo |
Ore crusts from the Mid-Pacific Seamounts were studied by scanning electron microscopy and by atomic-absorption and chemical analysis. Characteristic ultramicroscopic structures of ore material of these crusts are globular, fibrous, conchoidal and cellular. Non-ore components are represented by fragments of bedrocks, zeolites, biogenic carbonates, and apatite. Contents of ore elements are: Fe 5.53-15.82%; Mn 14.92-23.45%; Co 0.32-0.82%; Ni 0.22-0.70%; Cu 0.02-0.12%, Mn/Fe ratio varies from 1.02 to 3.39. In general elevated contents of Co (>0.55%) in Fe-Mn crusts correspond to elevated (>1) Mn/Fe ratios. |
Formato |
application/zip, 2 datasets |
Identificador |
https://doi.pangaea.de/10.1594/PANGAEA.756681 doi:10.1594/PANGAEA.756681 |
Idioma(s) |
en |
Publicador |
PANGAEA |
Direitos |
CC-BY: Creative Commons Attribution 3.0 Unported Access constraints: unrestricted |
Fonte |
Supplement to: Baturin, Gleb N; Shevchenko, Alla Ya; Zavadskaya, Natalya N (1987): On the structure and composition of the ore crusts from submarine seamounts in the North Pacific. Oceanology, 27(4), 465-469 |
Palavras-Chave | #Al; Aluminium; Archive of Ocean Data; ARCOD; Atomic absorption spectrometry (AAS); Ca; Cadmium; Calcium; Calculated; Cd; Central Pacific Seamounts, Pacific Ocean; Chromium; Co; Cobalt; Copper; Cr; Cu; Dredge; DRG; Event; Fe; Iron; K; Lead; Li; Lithium; Magnesium; Manganese; Manganese/Iron ratio; Mg; Mn; Mn/Fe; Mol; Molybdenite; Na; Ni; Nickel; P; Pb; Phosphorus; Potassium; Sample type; Samp type; Sodium; Sr; Strontium; Ti; Titanium; TRAWL; Trawl net; V; Vanadium; VITYAZ; Vityaz (ex-Mars); VITYAZ6002-12-DR; VITYAZ6348-TR; VITYAZ6352-TR; VITYAZ6358-TR; VITYAZ6359-TR; VITYAZ6365-TR; VITYAZ6366-DR; VITYAZ6368-DR; Zinc; Zn |
Tipo |
Dataset |