Dependencies in Dataset #5856
Entries (observed variables)
No. | Name |
---|---|
01 | UTC (seconds after midnight) |
02 | j(O1D) (O3->O1D+O2) [1/s] |
03 | j(O1D)_err [1/s] |
04 | j(NO2) (->O3P+NO) [1/s] |
05 | j(NO2)_err [1/s] |
06 | j(HCHO)_R (->H+HCO) [1/s] |
07 | j(HCHO)_R_err [1/s] |
08 | j(HCHO)_M (->H2+CO) [1/s] |
09 | j(HCHO)_M_err [1/s] |
10 | j(H2O2) (->OH+OH) [1/s] |
11 | j(H2O2)_err [1/s] |
12 | j(CH3OOH) (->OH+CH3O) [1/s] |
13 | j(CH3OOH)_err [1/s] |
14 | j(HNO2) (->OH+NO) [1/s] |
15 | j(HNO2)_err [1/s] |
16 | j(HNO3) (->OH+NO2) [1/s] |
17 | j(HNO3)_err [1/s] |
18 | j(HNO4)_1 (->OH+NO3) [1/s] |
19 | j(HNO4)_1_err [1/s] |
20 | j(HNO4)_2 (->HO2+NO2) [1/s] |
21 | j(HNO4)_2_err [1/s] |
22 | j(N2O5) (->NO2+NO3) [1/s] |
23 | j(N2O5)_err [1/s] |
24 | j(CH3COCH3)_1 (->CH3CO+CH3) [1/s] |
25 | j(CH3COCH3)_1_err [1/s] |
26 | j(CH3COCH3)_2 (->CH3+CH3+CO) [1/s] |
27 | j(CH3COCH3)_2_err [1/s] |
28 | j(CH3CHO)_1 (->CH3+CHO) [1/s] |
29 | j(CH3CHO)_1_err [1/s] |
30 | j(HCOCHO)_1 (->CHO+CHO) [1/s] |
31 | j(HCOCHO)_1_err [1/s] |
32 | j(HCOCHO)_2 (->H2+CO+CO) [1/s] |
33 | j(HCOCHO)_2_err [1/s] |
34 | j(HCOCHO)_3 (->HCO+CO) [1/s] |
35 | j(HCOCHO)_3_err [1/s] |
36 | j(CH3COO2NO2)_1 (->CH3COO2+NO2) [1/s] |
37 | j(CH3COO2NO2)_1_err [1/s] |
38 | j(CH3COO2NO2)_2 (->CH3COO+NO3) [1/s] |
39 | j(CH3COO2NO2)_2_err [1/s] |
40 | j(NO3)_R (->O+NO2) [1/s] |
41 | j(NO3)_R_err [1/s] |
42 | j(NO3)_M (->NO+O2) [1/s] |
43 | j(NO3)_M_err [1/s] |
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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