Dependencies in Dataset #2539

uploaded by Funktional Account, DLR
during SCAVEX-2 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 (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 (replaced by IRS data) [degree (0-360)]
10	FMC-Latitude (replaced by IRS data) [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	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.

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Direction of relationships

Entry A		Entry B
	(=depends on)

Explanation

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