Dependencies in Dataset #9301

uploaded by Funktional Ramses Sensorgruppe, DLR
during CAFE-Brazil mission

Entries (observed variables)

Information about observed variables of the current dataset.
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	IRS Groundspeed from corrected IGI data [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 (from BDY-TTQ, anti-ice-corrected) [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, anti-ice-corrected) [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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