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Furthermore, we also adopted the method introduced by Rodger et al. (2010), in which the electron data are deemed to have acceptable quality if the electron flux in each energy channel is larger than twice the CP flux.
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To confirm that the electron data were usable, the second method was applied.
First, hourly averages of electron data were selected from the 0° and the 90° detectors.
When the trend of electron fluxes differed from the proton fluxes, the electron data were regarded as contaminant-free.
Because we used only short-term data over the 7 days straddling the anomaly day, the electron data were examined by comparing the flux variations between electrons and the CP within specific intervals, as done by Tadokoro et al. (2007).
Customizable scalable methods, big data workflows, and visualization for scanning and electron microscopy data are detailed in the following sections.
Electrochemical and electron microscopy data are presented in support of this proposed deposition mechanism.
The electron distribution data are shown in a magnetic field coordinate system, in which parallel to the local magnetic field is set to 0° (in black) and 180° (in green) for the antiparallel direction.
Unfortunately, the mean density of synapses per unit volume that we have obtained in this study (mean of 0.94 synaptic junctions/µm) and the proportion of asymmetric and symmetric synapses could not be compared with previous studies since no detailed electron microscope data are available in this particular layer of the rat somatosensory cortex at the age analyzed in the present study.
In electronic devices, data are stored in bundles of electrons, and as electronics shrink, the bundles contain fewer and fewer electrons.
Nevertheless, routine GNSS phase data and equivalent total electron content (TEC) data are all under-sampled.
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