Dependencies in Dataset #5885
Entries (observed variables)
No. | Name |
---|---|
01 | Timesec after midnight (UTC) in sec (UTC) |
02 | RMS/Position North [m] |
03 | RMS/Position East [m] |
04 | RMS/Position Up [m] |
05 | WGS84 Datum/Elliptical Height [m] |
06 | IGI actual track angle [deg+] |
07 | IGI body x-axis acceleration [m/s^2] |
08 | IGI body y-axis acceleration [m/s^2] |
09 | IGI body z-axis acceleration [m/s^2] |
10 | IGI vertical acceleration [m/s^2] |
11 | Velocity/East [m/s] |
12 | IGI ground speed [m/s] |
13 | true heading [deg+] |
14 | WGS84 Datum/Latitude [deg] |
15 | WGS84 Datum/Longitude [deg] |
16 | Velocity/North [m/s] |
17 | IGI body roll rate [deg/s] |
18 | roll angle [deg] |
19 | IGI body pitch rate [deg/s] |
20 | IGI body yaw rate [deg/s] |
21 | pitch angle [deg] |
22 | Velocity/Up [m/s] |
23 | Absolute Humidity [g/m^3] |
24 | Angle of Attack [deg] |
25 | Angle of Sideslip [deg] |
26 | Height above Sea Level calculated from met. data (fast) [m] |
27 | Pressure Altitude [m] |
28 | Machnumber [Ma] |
29 | Static Pressure (from NB_PSIA) [hPa] |
30 | Dynamic Pressure [hPa] |
31 | Calculated True Airspeed [m/s] |
32 | Total Air Temperature (deicing corrected, from BDY-TTQ) [K] |
33 | Dewpoint Temperature [K] |
34 | Potential Temperature [K] |
35 | Virtual Potential Temperature [K] |
36 | Virtual Temperature [K] |
37 | Wind Vector East Component [m/s] |
38 | Wind Vector North Component [m/s] |
39 | Wind Vector Vertical Component [m/s] |
40 | Horizontal Wind Direction [deg+] |
41 | Static Air Temperature (from BDY-TTQ) [K] |
42 | Relative Humidity with Respect to Water [%] |
43 | Humidity Data Source (1:Vaisala/2:SHARC_longpath/3:SHARC_shortpath) [] |
44 | Horizontal Windspeed [m/s] |
45 | H2O Volume Mixing Ratio [micromol/mol] |
46 | H2O Mass Mixing Ratio [g/kg] |
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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