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Dependencies in Dataset #2702

uploaded by Funktional Account, DLR
during TROCCINOX-1 mission

Entries (observed variables)

Information about observed variables of the current dataset.
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 (Aircraft z -Axis) [m/s^2]
06 IRS Acceleration (Aircraft x -Axis) [m/s^2]
07 IRS Acceleration (Aircraft y -Axis) [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 Acceleration (Earth fixed z -Axis) [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 Wind Vector East Component [m/s]
41 Wind Vector North Component [m/s]
42 Wind Vector Vertical Component [m/s]
43 Horizontal Windspeed [m/s]
44 Horizontal Wind Direction [degree (0 -360)]

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.

Warning: It works only with JavaScript enabled in your browser.

Direction of relationships

Entry A   Entry B
(=depends on)

Explanation

Enable Javascript and you'll see the dependencies of this dataset explained in this box while hovering over the table on the left.