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Entries (observed variables)
| No. | Name |
|---|---|
| 1 | Time in seconds after midnight (UTC) |
| 2 | Peroxy acetyl nitrate (PAN) in pptv at 0.08 Hz |
| 3 | PAN_LOD_ppt_3sigma: limit of detection of PAN in ppt (3sigma) |
| 4 | PAN_u_ppt: PAN measurement uncertainty in ppt (relativ uncertainity ca. 30%) |
| 5 | Peracetic acid (PAA) in pptv at 0.08 Hz |
| 6 | PAA_LOD_ppt_3sigma: limit of detection of PAA in ppt (3sigma) |
| 7 | PAA_u_ppt: PAA measurement uncertainty in ppt (relative uncertainty ca. 100% + water correction) |
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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