Dependencies in Dataset #6190
Entries (observed variables)
No. | Name |
---|---|
01 | time_seconds (s) |
02 | NO2 slant column density (NO2_SCD) - molecules per square centimetre (molec/cm2) |
03 | NO2 slant column density fit error (NO2_SCD_error) - molecules per square centimetre (molec/cm2) |
04 | O4 slant column density (O4_SCD) - molecules per square centimetre (molec/cm2) |
05 | O4 slant column density fit error (O4_SCD_error) - molecules per square centimetre (molec/cm2) |
06 | SO2 slant column density (SO2_SCD) - molecules per square centimetre (molec/cm2) |
07 | SO2 slant column density fit error (SO2_SCD_error) - molecules per square centimetre (molec/cm2) |
08 | HCHO slant column density (HCHO_SCD) - molecules per square centimetre (molec/cm2) |
09 | HCHO slant column density fit error (HCHO_SCD_error) - molecules per square centimetre (molec/cm2) |
10 | Colorindex (counts at 330nm / counts at 390nm, corrected for CCD detector non-linearity) - no unit |
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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