Dependencies in Dataset #539
Entries (observed variables)
No. | Name |
---|---|
01 | Elapsed UT seconds from 0 hours on the day given by DATE |
02 | Absolute Humidity [g/m^3] |
03 | Angle of Attack [deg] |
04 | Angle of Sideslip [deg] |
05 | Height above Sea Level calculated from met. data (fast) [m] |
06 | Pressure Altitude [m] |
07 | Machnumber [Ma] |
08 | Mixing Ratio [g/kg] |
09 | Static Pressure (from NB_PSIA) [hPa] |
10 | Dynamic Pressure [hPa] |
11 | Relative Humidity with Respect to Water [%] |
12 | Calculated True Airspeed [m/s] |
13 | Total Air Temperature (deicing corrected, from BDY-TTQ) [K] |
14 | Dewpoint Temperature [K] |
15 | Potential Temperature [K] |
16 | Virtual Potential Temperature [K] |
17 | Virtual Temperature [K] |
18 | Wind Vector East Component [m/s] |
19 | Wind Vector North Component [m/s] |
20 | Wind Vector Vertical Component [m/s] |
21 | Horizontal Wind Direction [deg+] |
22 | Horizontal Windspeed [m/s] |
23 | Static Air Temperature (from BDY-TTQ) [K] |
24 | System Time from DAQ [sec] |
25 | IGI latitude position above WGS84 [deg] |
26 | IGI longitude position above WGS84 [deg] |
27 | IGI height above WGS84 ellipsoid [m] |
28 | IGI north south velocity [m/s] |
29 | IGI east west velocity [m/s] |
30 | IGI vertical velocity [m/s] |
31 | IGI roll angle [deg] |
32 | IGI pitch angle [deg] |
33 | IGI true heading [deg+] |
34 | IGI RMS value for position x [m] |
35 | IGI RMS value for position y [m] |
36 | IGI RMS value for position z [m] |
37 | IGI body roll rate [deg/s] |
38 | IGI body pitch rate [deg/s] |
39 | IGI body yaw rate [deg/s] |
40 | IGI body x-axis acceleration [m/s^2] |
41 | IGI body y-axis acceleration [m/s^2] |
42 | IGI body z-axis acceleration [m/s^2] |
43 | IGI vertical acceleration [m/s^2] |
44 | IGI actual track angle [deg+] |
45 | IGI ground speed [m/s] |
Dependencies of the observed variables
The interactive table provides a visualization of the dependencies of this dataset's entries (variables) which will hopefully assist you to understand the datasets structure.
Most datasets are simple, e.g. like 10 entries depending on 1 entry. But there are other datasets which are far more complex; with relationships between various entries and even reversed dependencies.
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Direction of relationships
Entry A | Entry B | |
---|---|---|
(=depends on) |
Explanation
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