A hierarchical Bayesian approach to the classification of C3 and C4 grass pollen based on SPIRAL δ13C data
about
Stable carbon isotope analyses of nanogram quantities of particulate organic carbon (pollen) with laser ablation nano combustion gas chromatography/isotope ratio mass spectrometryIsotopic analysis on nanogram quantities of carbon from dissolved insect cuticle: a method for paleoenvironmental inferences.A late-Quaternary perspective, on atmospheric pCO2, climate, and fire as drivers of C4-grass abundance.Comparative performance of airyscan and structured illumination superresolution microscopy in the study of the surface texture and 3D shape of pollen.
P2860
A hierarchical Bayesian approach to the classification of C3 and C4 grass pollen based on SPIRAL δ13C data
description
im November 2013 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована в листопаді 2013
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name
A hierarchical Bayesian approa ...... llen based on SPIRAL δ13C data
@en
A hierarchical Bayesian approa ...... llen based on SPIRAL δ13C data
@nl
type
label
A hierarchical Bayesian approa ...... llen based on SPIRAL δ13C data
@en
A hierarchical Bayesian approa ...... llen based on SPIRAL δ13C data
@nl
prefLabel
A hierarchical Bayesian approa ...... llen based on SPIRAL δ13C data
@en
A hierarchical Bayesian approa ...... llen based on SPIRAL δ13C data
@nl
P2093
P1476
A hierarchical Bayesian approa ...... llen based on SPIRAL δ13C data
@en
P2093
Ann Pearson
David M. Nelson
Feng Sheng Hu
Michael A. Urban
Ryan Kelly
Tahir Ibrahim
P304
P356
10.1016/J.GCA.2013.07.019
P577
2013-11-01T00:00:00Z