Dependencies in Dataset #8160
Entries (observed variables)
No. | Name |
---|---|
01 | elapsed UT seconds from 0 hours on day line 7 |
02 | Altitude = GPS Altitude (m) |
03 | Latitude = Latitude (deg) |
04 | Longitude = Longitude (deg) |
05 | Org = organic aerosol mass concentration (ug per STD cubic m) |
06 | Org_prec = precision of Org (ug per STD cubic m) |
07 | Org_DL = detection limit of Org (ug per STD cubic m) |
08 | NO3 = nitrate aerosol mass concentration (ug per STD cubic m) |
09 | NO3_prec = precision of NO3 (ug per STD cubic m) |
10 | NO3_DL = detection limit of NO3 (ug per STD cubic m) |
11 | SO4 = sulfate aerosol mass concentration (ug per STD cubic m) |
12 | SO4_prec = precision of SO4 (ug per STD cubic m) |
13 | SO4_DL = detection limit of SO4 (ug per STD cubic m) |
14 | NH4 = ammonium aerosol mass concentration (ug per STD cubic m) |
15 | NH4_prec = precision of NH4 (ug per STD cubic m) |
16 | NH4_DL = detection limit of NH4 (ug per STD cubic m) |
17 | Chl = chloride aerosol mass concentration (ug per STD cubic m) |
18 | Chl_prec = precision of Chl (ug per STD cubic m) |
19 | Chl_DL = detection limit of Chl (ug per STD cubic m) |
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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