Dependencies in Dataset #7321

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

Entries (observed variables)

Information about observed variables of the current dataset.
No.	Name
A	virtual entry: tid given by 293230 constant values
01	time in seconds since 1970-1-1 (UTC) (seconds since 1970-1-1 00:00:00 +00:00)
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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