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Dependencies in Dataset #8514

uploaded by Funktional Ramses Sensorgruppe, DLR
during Eco2Fly_ECLIF3 mission

Entries (observed variables)

No.
Name
Information about observed variables of the current dataset.
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]
Showing 1 to 48 of 48 rows

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.

Warning: It works only with JavaScript enabled in your browser.

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Direction of relationships

Entry A   Entry B
(=depends on)

Explanation

Hover over the table on the left and read further explanation here.