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We evaluated how well data on 82 populations of 20 species of plants spanning 3 continents explained and predicted plant population dynamics.
Therefore, the consistency of the well data is tested by cross-plotting all well data on top of each other as shown in Figs. 8 and 9 where different color points in plot represent data from different wells.
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Finally, we determined how well data on pairwise genetic differentiation fit the different IBR models (using the coefficient of determination, R) with varying levels of 'natural vegetation'/'agricultural land' resistance ratios (e.g. Andrew et al. 2012).
The goodness-of-fit plots from the model adjustment containing only the data from the ARIEL once-daily substudy showed that the model predictions appeared to be accurate for children aged ≥3 to <6 years and weighing between 10 and <20 kg, with no detectable bias present for individual predictions, indicating that the model performed well (data on file).
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There is no information from drilled-well data on deeper horizons, since all the wells (existing in the Eastern Mediterranean region) are either shallow or Pliocene drilled wells.
Production data includes the tanks' stocking conditions as well as the larvae feeding regime, the physicochemical conditions in the rearing tanks, as well as data on broodstock characteristics.
We couple this approach with a novel mixed data set of both oral arguments data as well as data on case-level attributes.
We present study design and methods for MI Values as well as data on feasibility of recruitment methods and treatment integrity.
Further, the model predicts well literature data on freezing point depression, excess enthalpy and liquid phase speciation determined by NMR.
The new study draws on ongoing ecohydrology research at Princeton, as well as data on engines for World War II-era fighter planes and modern car brands.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com