Dependencies in Dataset #2447
Entries (observed variables)
No. | Name |
---|---|
01 | Time in sec after midnight (Falcon data system time) |
02 | Height from Radio Altimeter [m] |
03 | IRS Actual Track Angle [degree (0-360)] |
04 | IRS Groundspeed [m/s] |
05 | IRS Acceleration (z-Direction) [m/s^2] |
06 | IRS Acceleration (x-Direction) [m/s^2] |
07 | IRS Acceleration (y-Direction) [m/s^2] |
08 | Deicing status (0V=off) [V] |
09 | FMC Longitude [degree (0-360)] |
10 | FMC Latitude [degree (0-180)] |
11 | Event [V] |
12 | IRS Vertical Acceleration [m/s^2] |
13 | IRS True Heading [degree (0-360)] |
14 | IRS Roll Angle [degree (+-180)] |
15 | IRS Pitch Angle [degree (+-180)] |
16 | IRS Yaw Rate [degree/sec] |
17 | IRS Roll Rate [degree/sec] |
18 | IRS Pitch Rate [degree/sec] |
19 | Static Pressure (from NB_PSIA) [hPa] |
20 | Total Air Temperature (deicing corrected, from BDY-TTQ) [K] |
21 | Vertical Velocity (from IRS) [m/s] |
22 | East-West Velocity (Data from IRS (high freq.) + FMC (low freq.)) [m/s] |
23 | North-South Velocity (Data from IRS (high freq.) + FMC (low freq.)) [m/s] |
24 | Dynamic Pressure [hPa] |
25 | Static Air Temperature (from BDY-TTQ) [K] |
26 | Virtual Temperature [K] |
27 | Potential Temperature [K] |
28 | Virtual Potential Temperature [K] |
29 | Pressure Altitude [m] |
30 | Height above Sea Level [m] |
31 | Absolute Humidity [g/m^3] |
32 | Relative Humidity with Respect to Water [%] |
33 | Mixing Ratio [g/kg] |
34 | Humidity Data Source (1=Vaisala,2=ly_a(lin),3=ly_a(log),4=GE-dewpoint) [] |
35 | Dewpoint Temperature [K] |
36 | Calculated True Airspeed [m/s] |
37 | Angle of Attack [degree (+-180)] |
38 | Angle of Sideslip [degree (+-180)] |
39 | Machnumber [ ] |
40 | East Wind Component [m/s] |
41 | North Wind Component [m/s] |
42 | Vertical Wind Component [m/s] |
43 | Horizontal Windspeed [m/s] |
44 | Horizontal Wind Direction [degree (0-360)] |
45 | Height of terrain below aircraft [m] |
46 | Height above Ground [m] |
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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