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To overcome the sensor level tACS artifact, the data were projected into source space by means of linearly constrained minimum variance (LCMV) beamforming21, applied to 889 equally-spaced (1.5 cm) points covering the whole brain, resulting in 889 virtual sensors.
The plot data were projected considering the four management treatments (plus one control) and three GCM scenarios (plus one control), or 5 x 4 = 20 projections per plot.
For high geomagnetic latitudes (>50 and < −50 degrees) observatory data were projected onto an a priori model vector and the resulting pseudo-scalar data were used in the inversion.
In a geographic information system, the raster data were projected in the Gauss-Krüger net referring to the 9th degree East meridian and clipped to the extent of the State of Baden-Württemberg.
For high geomagnetic dipole latitudes (>50° and <-50°), observatory vector data were projected onto an a priori model vector, and the resulting pseudo-scalar data were used in the inversion.
All data were projected in Universal Transverse Mercator zone 18 and analyzed in 1 km×1 km horizontal grid cells.
Similar(33)
For the four data partitions, each final model (containing 25% of the data) was projected onto all of the data.
Data are projected onto these spatial patterns to obtain variables known as principal components, which describe the amplitude of the patterns at each time step.
Volumes of data are projected to reach 40ZB by 2020, or 5,247 GB per person, with emerging economies accounting for an increasingly large proportion of the world's total.
The original vibration data are projected into the reproducing kernel Hilbert space (RKHS) where the instinct nonlinear structure in the original data can be linearized by KSR.
In this step the incoming data are projected into a lower dimensional space that is designed to maximally separate the signal from the noise energy.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com