Dependencies in Dataset #9045

uploaded by Funktional Ramses Sensorgruppe, DLR
during MTG-Africa mission

Entries (observed variables)

Information about observed variables of the current dataset.
No.	Name
01	Timesec after midnight (UTC) in sec (UTC)
02	Deicing status (0V=off) [V]
03	WGS84 Datum/Latitude [deg]
04	WGS84 Datum/Longitude [deg]
05	Height above sea level (from GPS) [m]
06	GPS EWV [m/s]
07	GPS LAT [deg]
08	GPS LON [deg]
09	GPS NSV [m/s]
10	WGS84 Datum/Elliptical Height [m]
11	IRS Actual Track Angle True [deg+]
12	IRS Acceleration (Aircraft x-Axis) [m/s^2]
13	IRS Acceleration (Aircraft y-Axis) [m/s^2]
14	IRS Acceleration (Aircraft z-Axis) [m/s^2]
15	IRS Acceleration (Earth fixed z-Axis) [m/s^2]
16	IRS Groundspeed from corrected IGI data [m/s]
17	true heading [deg+]
18	IRS Roll Rate [deg/s]
19	roll angle [deg]
20	IRS Pitch Rate [deg/s]
21	IRS Yaw Rate [deg/s]
22	pitch angle [deg]
23	Absolute Humidity [g/m^3]
24	Angle of Attack [deg]
25	Angle of Sideslip [deg]
26	Velocity/East no schuler correction applied [m/s]
27	Height above Sea Level calculated from met. data (fast) [m]
28	Pressure Altitude [m]
29	Machnumber [Ma]
30	Mixing Ratio [g/kg]
31	Velocity/North no schuler correction applied [m/s]
32	Static Pressure (from NB_PSIA) [hPa]
33	Dynamic Pressure [hPa]
34	Relative Humidity with Respect to Water [%]
35	Humidity Data Source (1:Vaisala/2:ly_a(lin)/3:ly_a(log)/4:GE-dewpoint) []
36	Calculated True Airspeed [m/s]
37	Total Air Temperature (from BDY-TTQ, anti-ice-corrected) [K]
38	Dewpoint Temperature [K]
39	Potential Temperature [K]
40	Virtual Potential Temperature [K]
41	Virtual Temperature [K]
42	Wind Vector East Component [m/s]
43	Wind Vector North Component [m/s]
44	Vertical Velocity (from IRS) [m/s]
45	Wind Vector Vertical Component [m/s]
46	Horizontal Wind Direction [deg+]
47	Horizontal Windspeed [m/s]
48	Static Air Temperature (from BDY-TTQ, anti-ice-corrected) [K]

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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