Dependencies in Dataset #8576
Entries (observed variables)
| No. | Name |
|---|---|
| 01 | Elapsed UT seconds from 0 hours on the first date given in 7 |
| 02 | Tout (K) {Out-boarding air temperature} |
| 03 | Psts (hPa) {Static pressure} |
| 04 | Halt (m) {Pressure altitude} |
| 05 | Lat (degree) {Latitude} |
| 06 | Long (degree) {Longitude} |
| 07 | Alt (m) {Altitude up MSL} |
| 08 | Tpot (K) {Potential temperature} |
| 09 | qf () {Uncertainty factor} |
| 10 | br () {parallel backscatter ratio at 532 nm} |
| 11 | dep (%) {volume depolarization at 532 nm} |
| 12 | baer (km-1sr-1) {aerosol backscatter coefficient at 532 nm} |
| 13 | depaer (%) {aerosol depolarization at 532 nm} |
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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