Chemical composition of glauconite and montmorillonite group minerals from sediments and rocks of the Norwegian Sea
| Cobertura |
MEDIAN LATITUDE: 67.406511 * MEDIAN LONGITUDE: -3.050033 * SOUTH-BOUND LATITUDE: 63.351000 * WEST-BOUND LONGITUDE: -7.787800 * NORTH-BOUND LATITUDE: 71.083333 * EAST-BOUND LONGITUDE: 5.387700 * DATE/TIME START: 1974-08-07T00:00:00 * DATE/TIME END: 1974-08-14T00:00:00 * MINIMUM DEPTH, sediment/rock: 0 m * MAXIMUM DEPTH, sediment/rock: 482 m |
|---|---|
| Data(s) |
09/12/1979
|
| Resumo |
Two quadrupole splitting doublets with delta E_q = 0.74 and 1.62 mm/s were found in the montmorillonite spectra. The more intense doublet corresponds to iron in a somewhat distorted tetrahedral coordination, while the less intense corresponds to quadri-coordinated iron. The EPR spectrum also exhibits two lines with a q-factor of 3 and 4.3, which corresponds to transformed minerals. |
| Formato |
text/tab-separated-values, 55 data points |
| Identificador |
https://doi.pangaea.de/10.1594/PANGAEA.754921 doi:10.1594/PANGAEA.754921 |
| Idioma(s) |
en |
| Publicador |
PANGAEA |
| Direitos |
CC-BY: Creative Commons Attribution 3.0 Unported Access constraints: unrestricted |
| Fonte |
Supplement to: Grechishkin, VS; Zangalis, KP; Murin, IV; Emelyanov, Emelyan M; Sivkov, Vadim P; Kharin, Gennady S (1979): Nuclear gamma resonance and electronic paramagnetic resonance spectra of minerals of the glauconite and montmorillonite groups. Oceanology, 19(3), 290-293 |
| Palavras-Chave | #38-336; 38-338; AK10-759-15; Akademik Kurchatov; AKU10; Aluminium oxide; Archive of Ocean Data; ARCOD; Calcium oxide; Deep Sea Drilling Project; DEPTH, sediment/rock; Dredge; DRG; DRILL; Drilling/drill rig; DSDP; Elevation of event; Event label; Glomar Challenger; Iron oxide, Fe2O3; Iron oxide, FeO; Latitude of event; Leg38; Longitude of event; Magnesium oxide; North Atlantic/Norwegian Sea; North Atlantic/Norwegian Sea/PLATEAU; Norwegian Sea; Potassium oxide; Sample type; Silicon dioxide; Sodium oxide; Titanium oxide; Water in rock; Wet chemistry |
| Tipo |
Dataset |
