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A few methods have been previously described to account for the discrepancy between the pitch angle of data loggers and the longitudinal axis in field studies.
Another approach to account for the discrepancy between the pitch angle of data loggers and the longitudinal axis was reported by Sato et al. [5] in Weddell seal.
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When a data logger is positioned exactly parallel to the longitudinal axis of an animal, the calculated angle of the data logger is the same as the pitch angle of the animal.
In banded dogfish held in an aquarium, the adjustment angle from the regression line method was 13.7°, while the observed tilt angle of the data logger was 14° when analyzed from video observations (Figure 4). Figure 4 An attachment angle of the data logger on the banded dogfish was 14° from visual analysis and 13. 7° from the regression line method.
Berners-Lee said that "people only look at one angle" of big data.
These included limiting the acceptable range of zenith angles for angle of arrival data and setting limits on acceptable radial velocities.
Data points with positive and negative directional changes are located on the right and the left side of the polar plot, respectively, and the polar angle represents the angle of each data point with line of identity.
These tubings were chosen as they demonstrate similar hydrophobicity (water contact angle of 120°; data not shown) and have good optical properties.
Then, the low-frequency component of longitudinal acceleration was converted to angle of the data-logger relative to the horizon ( ranging from ° to 90°) as follows: (1).
The EDNA strategy [9] was used to obtain a start angle and 180° of data were collected with 0.1° oscillation and 0.1 s exposure.
Both angles of microarray data analysis are important and valid.
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