(Table 21) Chemical composition of magmatic rocks from DSDP Leg 63 holes


Autoria(s): Grechin, VI; Zolotarev, Boris P
Cobertura

MEDIAN LATITUDE: 26.314233 * MEDIAN LONGITUDE: -114.856717 * SOUTH-BOUND LATITUDE: 20.965300 * WEST-BOUND LONGITUDE: -120.548300 * NORTH-BOUND LATITUDE: 32.616700 * EAST-BOUND LONGITUDE: -107.063500 * DATE/TIME START: 1978-10-27T00:00:00 * DATE/TIME END: 1978-11-22T00:00:00 * MINIMUM DEPTH, sediment/rock: 61.295 m * MAXIMUM DEPTH, sediment/rock: 815.530 m

Data(s)

15/06/1983

Formato

text/tab-separated-values, 1245 data points

Identificador

https://doi.pangaea.de/10.1594/PANGAEA.741948

doi:10.1594/PANGAEA.741948

Idioma(s)

en

Publicador

PANGAEA

Relação

doi:10.1594/PANGAEA.741964

Grechin, VI; Zolotarev, Boris P (1983): Geochemistry of oceanic basalts and their secondary alterations. In: Timofeev, P.P. (Ed.), Problemy litologii Mirovogo okeana: Litologiya i geokhimiya Tikhogo okeana (Problems of Lithology of the World Ocean: Lithology and Geochemistry of the Pacific Ocean); Nauka Publ. (Moscow): in Russian, 139-169

Direitos

CC-BY: Creative Commons Attribution 3.0 Unported

Access constraints: unrestricted

Palavras-Chave #63-469; 63-470; 63-470A; 63-471; 63-472; 63-473; Aluminium; Aluminium oxide; Archive of Ocean Data; ARCOD; Calcium; Calcium oxide; Calculated; Calculated from dry weight/volume; Carbon dioxide; Deep Sea Drilling Project; Density; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DRILL; Drilling/drill rig; DSDP; Elevation of event; Event label; Glomar Challenger; Iron 2+; Iron 3+; Iron oxide, Fe2O3; Iron oxide, FeO; Latitude of event; Leg63; Longitude of event; Magnesium; Magnesium oxide; Manganese; Manganese oxide; North Pacific/ABYSSAL FLOOR; North Pacific/ESCARPMENT; North Pacific/FAN; North Pacific/Gulf of California/CONT RISE; North Pacific/PLATEAU; ODP sample designation; Phosphorus; Phosphorus oxide; Potassium; Potassium oxide; Sample code/label; Silicon; Silicon dioxide; Sodium; Sodium oxide; Sum; Titanium; Titanium oxide; Water in rock; Wet chemistry
Tipo

Dataset