Observation of manganese nodules on the Muir Seamount during Atlantis Cruise 260


Autoria(s): Pratt, Richard M
Cobertura

LATITUDE: 33.600000 * LONGITUDE: -62.425000 * DATE/TIME START: 1960-10-18T00:00:00 * DATE/TIME END: 1960-10-18T00:00:00 * MINIMUM DEPTH, sediment/rock: 0 m * MAXIMUM DEPTH, sediment/rock: 0 m

Data(s)

18/08/1967

Resumo

Seamounts are very effectively studied by deep-sea photography. Each photograph can be considered as a sample point when used in connection with bathymetric surveys, dredge samples, and cores, thus making it possible to delineate and map geologic and biologic zones on a seamount. Seamounts transcend through a great depth range and are characterized by minimal sedimentation which results in exciting and photogenic differences of environment over a short distance, as typified by our studies of Great Meteor and the New England Seamounts.

Formato

text/tab-separated-values, 7 data points

Identificador

https://doi.pangaea.de/10.1594/PANGAEA.863931

doi:10.1594/PANGAEA.863931

Idioma(s)

en

Publicador

PANGAEA

Relação

Grant, J Bruce; Moore, Carla J; Alameddin, George; Chen, Kuiying; Barton, Mark (1992): The NOAA and MMS Marine Minerals Geochemical Database. National Geophysical Data Center, NOAA, doi:10.7289/V52Z13FT

Warnken, Robin R; Virden, William T; Moore, Carla J (1992): The NOAA and MMS Marine Minerals Bibliography. National Geophysical Data Center, NOAA, doi:10.7289/V53X84KN

Direitos

CC-BY: Creative Commons Attribution 3.0 Unported

Access constraints: unrestricted

Fonte

Supplement to: Pratt, Richard M (1967): Photography of seamounts (Chapter 13). In: Hersey, JB (Ed.): Deep Sea Photography, The Johns Hopkins Oceanographic Studies. John Hopkins University Press, 145-148, http://www.vliz.be/en/imis?module=ref&refid=11063

Palavras-Chave #AT260-8D; Bermuda Rise; Deposit type; DEPTH, sediment/rock; Description; Dredge; DRG; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Position; Quantity of deposit; Sample ID; Sediment type; Uniform resource locator/link to image
Tipo

Dataset