Dependencies in Dataset #10102

uploaded by Funktional Ramses Sensorgruppe, DLR
during CLIM0ART 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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