Although samples of visually similar lithology were collected at the outcrops, some variability in sample compositions was found after evaluating the data (mineral contents are given in weight percent).
The required thermodynamic database was generated by the SUPCRT92 computer program (Johnson et al. 1992), using thermodynamic data of minerals, aqueous species, and complexes reported in Shock and Helgeson (1988), Shock and Koretsky (1995), Shock et al. (1989, 1997), Sverjensky et al. (1997), and McCollom and Shock (1997).
Hydrogen isotope data from minerals in shear zones around Mount Everest indicating that the barrier in that location was > 5 km in the late Early Miocene (Gébelin et al. 2013), but no similar dataset is known from those mountains in the Indus catchment.
We converted bone density outcomes to standardised mean differences, calculating a standardised mean difference of the percentage change from baseline in treatment and control groups at each site for which there were sufficient data (bone mineral density for forearm, hip, and lumbar spine and total body bone mineral content).
Most of the available data about mineral correlation in plants were obtained in grains.
The results of the experiment in each case were compared with baseline data of mineral diesel.
Unfortunately, there is a lack of experimental data regarding mineral alteration by high salinity liquids (brines) in porphyry systems.
The analysis of the ASTER data produced mineral maps which due to the moderate spatial and spectral resolution of the ASTER imagery can be useful for reconnaissance level mineral exploration.
The goal of the present work was first, to verify some of the qualitative parameters such as pH, sugar content and humidity, and second, to contribute to the very scarce available data on mineral content of Marche Region honeys.
XRD data for mineral identification were collected with a scanning step of 0.04° 2θ and counting time of 0.8 seconds per step on a Siemens θ 2θ D5000 diffractometer over a range of 3 80° 2θ.
