Dependencies in Dataset #10094
Entries (observed variables)
No. | Name |
---|---|
A | virtual entry: tid given by 325480 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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