Table_6_Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach.XLSX by Markus Egli (3666178)

“…Existing results for soil texture, typically reported at relevant field sites, had to be transformed to results for a median particle size, d₅₀, a specific theoretical input parameter. …”

Table_1_Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach.XLSX by Markus Egli (3666178)

“…Existing results for soil texture, typically reported at relevant field sites, had to be transformed to results for a median particle size, d₅₀, a specific theoretical input parameter. …”

Table_5_Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach.XLSX by Markus Egli (3666178)

“…Existing results for soil texture, typically reported at relevant field sites, had to be transformed to results for a median particle size, d₅₀, a specific theoretical input parameter. …”

Table_2_Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach.XLSX by Markus Egli (3666178)

“…Existing results for soil texture, typically reported at relevant field sites, had to be transformed to results for a median particle size, d₅₀, a specific theoretical input parameter. …”

Table_1_Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach.XLSX by Markus Egli (3666178)

“…Existing results for soil texture, typically reported at relevant field sites, had to be transformed to results for a median particle size, d₅₀, a specific theoretical input parameter. …”

Table_4_Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach.XLSX by Markus Egli (3666178)

“…Existing results for soil texture, typically reported at relevant field sites, had to be transformed to results for a median particle size, d₅₀, a specific theoretical input parameter. …”

Table_5._Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach.XLSX by Markus Egli (3666178)

“…Existing results for soil texture, typically reported at relevant field sites, had to be transformed to results for a median particle size, d₅₀, a specific theoretical input parameter. …”

Table_3_Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach.XLSX by Markus Egli (3666178)

“…Existing results for soil texture, typically reported at relevant field sites, had to be transformed to results for a median particle size, d₅₀, a specific theoretical input parameter. …”

Table_6_Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach.XLSX by Markus Egli (3666178)

“…Existing results for soil texture, typically reported at relevant field sites, had to be transformed to results for a median particle size, d₅₀, a specific theoretical input parameter. …”

Table_4_Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach.XLSX by Markus Egli (3666178)

“…Existing results for soil texture, typically reported at relevant field sites, had to be transformed to results for a median particle size, d₅₀, a specific theoretical input parameter. …”

Table_3_Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach.XLSX by Markus Egli (3666178)

“…Existing results for soil texture, typically reported at relevant field sites, had to be transformed to results for a median particle size, d₅₀, a specific theoretical input parameter. …”

Table_2_Prediction of Soil Formation as a Function of Age Using the Percolation Theory Approach.XLSX by Markus Egli (3666178)

“…Existing results for soil texture, typically reported at relevant field sites, had to be transformed to results for a median particle size, d₅₀, a specific theoretical input parameter. …”

A study of the effects of canopy coverage on the abundance of herbaceous plant species in Danby Woodlot at York University by Justin Kim (3117231)

“…For the first data set we obtained the abundance of native plants, abundance of exotic plants, and total number of flowers via quadrat sampling (n=25) along a 50m transect (east to west). …”

<b>Uncovering the role of the yeast lysine acetyltransferase NuA4 in the regulation of nuclear shape and lipid metabolism</b> by Sarah Laframboise (18338787)

“…<p dir="ltr">Here, we report a novel role for the yeast lysine acetyltransferase NuA4 in regulating phospholipid availability for organelle morphology. …”

HIFN reduces retinal and visual function deficits following ocular trauma. by Shweta Modgil (12864344)

“…(E) Data are expressed as total RBPMS-positive cells/ROI (mean ± SEM) ** p = 0.002; **** p ≤ 0.0001; n = 20–56. …”

Identification of cell cycle re-engaging postmitotic excitatory neurons in single-nucleus transcriptomic profiles. by Deng Wu (805710)

The effect of Pro-Ca on rice seedlings morphology under salt stress. by Yao Li (154923)

TLR3 deficiency exacerbated liver fibrosis caused by <i>C</i>. by Yuru Wang (846969)

Exogenous prohexadione-calcium (Pro-Ca) application conferred salt stress resistance of rice seedlings. by Yao Li (154923)

The effective reproduction number <i>R</i>_<i>t</i> for confirmed mpox cases in Spain, France, Germany, the UK, the Netherlands, Portugal, and Italy from June 25 to Septe... by Fernando Saldaña (16979376)