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During the seven-year periods between visits to Hartisle, Edmund is alone on the train, save for the train's spectral driver, a certain Inspector Stick, and a man Edmund nicknames Happy Hour, who gives him food and drink while speaking a language Edmund can't understand.
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Short-term transitions between wet and dry periods (i.e., < 6 months) were the dominant drivers of vegetation spectral variability and corresponded to the general timing of significant RS scenes within in our SVM models, confirming the importance of spectral variability in predicting soil texture and coarse fragment classes.
Metabolite-features were quantified after mass spectral deconvolution (ChromaTOF software 1.00, Pegasus driver 1.61, LECO), and their chemical identification was manually assessed using the NIST05 software (http://www.nist.gov/srd/mslist.html) and the mass spectral and retention time index collection of the Golm Metabolome Database [48].
Drivers with band-limited spectral content, exciting transient Alfven wave response in a limited range of latitudes only, may be different.
In addition, based on the building capacity-spectral ground motion methodology of Hazus (NIBS 2012), spectral ground motions are a much larger driver of building losses in Hazus than PGA alone.
Thus, this current study investigates the responses of carbon and water vapor fluxes to common climatic drivers by using the wavelet cross-correlation spectral analysis on ten widely distributed ENFs across the USA (Fig. 1).
Recent advances in understanding relationships between spectral reflectance of vegetation canopies and the structural and physiological drivers of canopy-atmosphere carbon dioxide exchange highlight the potential for using narrowband spectral vegetation indices to spatially scale CO2 fluxes beyond the area of a tower footprint.
As a result, they found that the estimated temperature near the driver and passengers increased by approximately 1 2 °C when considering the spectral solar radiation.
This study proposed a perceptual function integration system which used spectral features from multiple independent brain sources for application to recognize the driver's vigilance state.
These previous studies of variability in seasonality focused on decadal to centenary-scale drivers of the seasonal variation that is described by phase in spectral analysis, but this analytical approach also offers the opportunity to examine shorter-scale variability that is frequently more relevant to ecologists and others examining local environmental data.
We have simplified our analysis of environmental drivers by limiting the set of environmental factors to predation and spectral environment, yet fragmentation precipitates a range of ecological changes.
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