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Dose response data was fitted using a sigmoidal function with variable slope (Prism 5, GraphPad Software, San Diego, CA).
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The first stage described above marks the early development of a shelf-slope prism on the Tyee continental margin, and has been interpreted by some earlier workers as an unique category of basin-margin architecture, termed as a 'submarine ramp'.
Nonlinear regression modeling utilizing the extra sum-of-squares F test to compare slopes (Prism 5. Graph Pad Software) was used for vessel relaxation assays.
Induction and emergence curves were fit with a sigmoidal dose-response and variable slope function (Prism 4.0c, GraphPad Software Inc., San Diego, CA) as described [48], [51].
Concentration-response curves were fitted using a sigmoidal dose response at variable slope (GraphPad Prism, La Jolla, CA).
The IC50 values were calculated by non-linear regression analysis with the equation of a sigmoidal dose response with variable slope (Graphpad Prism 5.0): Y = 1/[1 + 10^(logIC50 ‒ X)(Hillslope)].
The fold change in inactivation time constant (fitted with stimulus vs response with variable slope; GraphPad Prism v6) in the presence of vehicle or compound was determined as described (Dubin et al., 2012).
The Parameter-elevation Regressions on Independent Slopes Model (PRISM) Climate Group works on a range of projects, some of which support the development of spatial climate datasets.
We calculate monthly local topographic lapse rates from the 800-m Parameter-elevation Regressions on Independent Slopes Model (PRISM) dataset, which is based on regressions of observed climate against topographic variables.
Monthly precipitation from Climate Forecast System Reanalysis (CFS) and gridded observation from Parameter-Elevation Relationships on Independent Slopes Model (PRISM) have been employed to generate the post-processed ensemble precipitation.
The stated accuracy of the original DEMs is 130m circular error with 90% probability.The Parameter-elevation Regressions on Independent Slopes Model (PRISM) Climate Group works on a range of projects, some of which support the development of spatial climate datasets.
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