Dependencies in Dataset #5366

uploaded by Eric Foerster, KIT
during EMeRGe-EU mission

Entries (observed variables)

Information about observed variables of the current dataset.
No.	Name
01	Time; seconds after midnight (UTC); [s]
02	FOR; Formaldehyde, volume mixing ratio; [pptV]; quantified by signal integration on protonated FOR (m/z = 31)
03	FOR_prec; Formaldehyde, precision; [pptV];
04	FOR_lod; Formaldehyde, humidity dependent in-flight detection limit; [pptV]
05	MET; Methanol, volume mixing ratio; [pptV]; quantified by signal integration on protonated MET (m/z = 33.2)
06	MET_prec; Methanol, precision; [pptV];
07	MET_lod; Methanol, humidity dependent in-flight detection limit; [pptV]
08	ACN; Acetonitrile, volume mixing ratio; [pptV]; quantified by signal integration on protonated ACN (m/z = 42)
09	ACN_prec; Acetonitrile, precision; [pptV];
10	ACA; Acetaldehyde, volume mixing ratio; [pptV]; quantified by signal integration on protonated ACA (m/z = 45)
11	ACA_prec; Acetaldehyde, precision; [pptV];
12	ACE; Acetone, volume mixing ratio; [pptV]; quantified by signal integration on protonated ACE (m/z = 59)
13	ACE_prec; Acetone, precision; [pptV];
14	ISO; Isoprene, volume mixing ratio; [pptV]; quantified by signal integration on protonated ISO (m/z = 69)
15	ISO_prec; Isoprene, precision; [pptV];
16	BEN; Benzene, volume mixing ratio; [pptV]; quantified by signal integration on protonated BEN (m/z = 79)
17	BEN_prec; Benzene, precision; [pptV];
18	TOL; Toluene, volume mixing ratio; [pptV]; quantified by signal integration on protonated TOL (m/z = 93)
19	TOL_prec; Toluene, precision; [pptV];
20	XYL; Xylene, volume mixing ratio; [pptV]; quantified by signal integration on protonated XYL (m/z = 107)
21	XYL_prec; Xylene, precision; [pptV];

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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