Vegetational and climatic variations during the past 3100 years in southern India: evidence from pollen, magnetic susceptibility and particle size data

2015 ◽  
Vol 74 (4) ◽  
pp. 3559-3572 ◽  
Author(s):  
Amalava Bhattacharyya ◽  
Kizhur Sandeep ◽  
Sandhya Misra ◽  
Rajasekhariah Shankar ◽  
Anish K. Warrier ◽  
...  
Keyword(s):  
Particle Size ◽  
Magnetic Susceptibility ◽  
Southern India ◽  
Climatic Variations ◽  
The Past ◽  
Particle Size Data ◽  
Size Data

scholarly journals Pedotransfer functions for converting laser diffraction particle-size data to conventional values

2017 ◽  
Vol 68 (5) ◽  
pp. 769-782 ◽  
Author(s):  
A. Makó ◽  
G. Tóth ◽  
M. Weynants ◽  
K. Rajkai ◽  
T. Hermann ◽  
...  
Keyword(s):  
Particle Size ◽  
Laser Diffraction ◽  
Pedotransfer Functions ◽  
Particle Size Data ◽  
Size Data

scholarly journals Estimation of spatial covariance of log conductivity from particle size data

2014 ◽  
Vol 50 (6) ◽  
pp. 5298-5308 ◽  
Author(s):  
Monica Riva ◽  
Xavier Sanchez-Vila ◽  
Alberto Guadagnini
Keyword(s):  
Particle Size ◽  
Spatial Covariance ◽  
Particle Size Data ◽  
Size Data

Statistics of Particle Size Data

1992 ◽  
Vol 41 (1) ◽  
pp. 127 ◽  
Author(s):  
N. R. J. Fieller ◽  
E. C. Flenley ◽  
W. Olbricht
Keyword(s):  
Particle Size ◽  
Particle Size Data ◽  
Size Data

Metal adsorption onto and desorption from sediments. II. Artifact effects

1995 ◽  
Vol 46 (1) ◽  
pp. 1 ◽  
Author(s):  
EA Jenne
Keyword(s):  
Time Series ◽  
Particle Size ◽  
Metal Adsorption ◽  
Data Sets ◽  
Sorption Data ◽  
Adsorption Time ◽  
Particle Size Data ◽  
Testing Data ◽  
Size Data ◽  
Linearization Techniques

Several published adsorption and desorption (sorption) data sets have been recalculated and replotted in the course of developing and testing data-linearization techniques. Data sets that yielded results that appeared anomalous and two other data sets, one with adsorption time series for several metals and another with extensive particle size data, are examined in detail to better understand the factors that result in sorption data artifacts. Drying (and certain other pretreatments), uncontrolled (and frequently unmeasured) pH, unknown valence changes of redox-sensitive metals, unmonitored bacterial growth, and experimentally imposed differences in time-to-equilibrium were found to contribute to the large uncertainties in much of the published sorption data.

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