(Table T1) Clay-mineral composition of ODP Site 184-1146 sediments


Autoria(s): Trentesaux, Alain; Liu, Zhifei; Colin, Christophe; Boulay, Sebastien; Wang, Pinxian
Cobertura

LATITUDE: 19.456700 * LONGITUDE: 116.272917 * DATE/TIME START: 1999-03-21T00:00:00 * DATE/TIME END: 1999-03-29T00:00:00 * MINIMUM DEPTH, sediment/rock: 1.05 m * MAXIMUM DEPTH, sediment/rock: 190.55 m

Data(s)

27/06/2003

Resumo

The preliminary results of a comprehensive study of clay minerals (<2 µm) are presented for the upper 2 m.y. of sediments from Ocean Drilling Program Leg 184 Site 1146 from the northern margin of the South China Sea, close to the Pearl River mouth. More than 500 samples were analyzed, and four main mineral species are present: smectite, illite, chlorite, and kaolinite. On a general basis, illite + chlorite and smectite display anti-correlated behavior in relation to changes in the proportion of primary to secondary minerals in the sediment. Low-frequency and high-frequency changes are observed in the smectite/(illite + chlorite) ratio.

Formato

text/tab-separated-values, 2540 data points

Identificador

https://doi.pangaea.de/10.1594/PANGAEA.785091

doi:10.1594/PANGAEA.785091

Idioma(s)

en

Publicador

PANGAEA

Direitos

CC-BY: Creative Commons Attribution 3.0 Unported

Access constraints: unrestricted

Fonte

Supplement to: Trentesaux, Alain; Liu, Zhifei; Colin, Christophe; Boulay, Sebastien; Wang, Pinxian (2003): Data report: Pleistocene paleoclimatic cyclicity of southern China: clay mineral evidence recorded in the South China Sea (ODP Site 1146). In: Prell, WL; Wang, P; Blum, P; Rea, DK; Clemens, SC (eds.) Proceedings of the Ocean Drilling Program, Scientific Results, College Station, TX (Ocean Drilling Program), 184, 1-10, doi:10.2973/odp.proc.sr.184.210.2003

Palavras-Chave #184-1146; Chlorite; COMPCORE; Composite Core; DEPTH, sediment/rock; Illite; Joides Resolution; Kaolinite; Leg184; Ocean Drilling Program; ODP; ODP sample designation; Sample code/label; Smectite; South China Sea; X-ray diffraction, clay fraction
Tipo

Dataset