Dependencies in Dataset #9400

uploaded by Funktional Ramses Sensorgruppe, DLR
during Neofuels Volcan mission

Entries (observed variables)

Information about observed variables of the current dataset.
No.	Name
A	virtual entry: tid given by 50680 constant values
01	time in seconds since 1970-1-1 (UTC) (seconds since 1970-1-1 00:00:00 +00:00)
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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