Namib {provenance}

An example dataset

Description

A large dataset of provenance data from Namibia comprised of 14 sand samples from the Namib Sand Sea and 2 samples from the Orange River.

Details

Namib is a list containing the following 6 items:

DZ: a distributional dataset containing the zircon U-Pb ages for ca. 100 grains from each sample, as well as their (1-sigma) analytical uncertainties.

PT: a compositional dataset with the bulk petrography of the samples, i.e. the quartz (‘Q’), K-feldspar (‘KF’), plagioclase (‘P’), and lithic fragments of metamorphic (‘Lm’), volcanic (‘Lv’) and sedimentary (‘Ls’) origin.

HM: a compositional dataset containing the heavy mineral composition of the samples, comprised of zircon (‘zr’), tourmaline (‘tm’), rutile (‘rt’), Ti-oxides (‘TiOx’), titanite (‘sph’), apatite (‘ap’), epidote (‘ep’), garnet (‘gt’), staurolite (‘st’), andalusite (‘and’), kyanite (‘ky’), sillimanite (‘sil’), amphibole (‘amp’), clinopyroxene (‘cpx’) and orthopyroxene (‘opx’).

PTHM: a compositional dataset combining the variables contained in PT and HM plus ‘mica’, ‘opaques’, 'turbids' and 'other' transparent heavy minerals (‘LgM’), normalised to 100.

Major: a compositional dataset listing the concentrations (in wt TiO2, P2O5 and MnO.

Trace: a compositional data listing the concentrations (in ppm) of Rb, Sr, Ba, Sc, Y, La, Ce, Pr, Nd, Sm, Gd, Dy, Er, Yb, Th, U, Zr, Hf, V, Nb, Cr, Co, Ni, Cu, Zn, Ga and Pb.

Author(s)

Pieter Vermeesch and Eduardo Garzanti

References

Vermeesch, P. and Garzanti, E., Making geological sense of 'Big Data' in sedimentary provenance analysis, Chemical Geology 409 (2015) 20-27

Examples

samp <- Namib$DZ$x[['N1']]
dens <- KDE(samp,0,3000)
plot(dens)