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Dependencies in Dataset #7392

uploaded by Michał Gałkowski, MPI-BGC
during COMET mission

Entries (observed variables)

Information about observed variables of the current dataset.
No. Name
A virtual entry: date_str_len given by 19 constant values
B virtual entry: record_no given by 12 constant values
01 date [unspecified unit]
02 longitude [degree_east]
03 latitude [degree_north]
04 altitude [m]
05 Carbon dioxide mole fraction in dry air, in micromol/mol (micromol/mol)
06 Uncertainty of carbon dioxide mole fraction in dry air, in micromol/mol (micromol/mol)
07 Methane mole fraction in dry air, in nanomol/mol (nanomol/mol)
08 Uncertainty of methane mole fraction in dry air, in nanomol/mol (nanomol/mol)
09 Nitrous oxide mole fraction in dry air, in nanomol/mol (nanomol/mol)
10 Uncertainty of nitrous oxide mole fraction in dry air, in nanomol/mol (nanomol/mol)
11 Sulfur hexafluoride fraction in dry air, in picomol/mol (picomol/mol)
12 Uncertainty of sulfur hexafluoride mole fraction in dry air, in picomol/mol (picomol/mol)
13 Molecular hydrogen fraction in dry air, in nanomol/mol (nanomol/mol)
14 Uncertainty of molecular hydrogen mole fraction in dry air, in nanomol/mol (nanomol/mol)
15 Argon to molecular nitrogen ratio in dry air, in per meg unit (per meg)
16 Uncertainty of argon to molecular nitrogen ratio in dry air, in per meg unit (per meg)
17 Molecular oxygen to molecular nitrogen ratio in dry air, in per meg unit (per meg)
18 Uncertainty of molecular oxygen to molecular nitrogen ratio in dry air, in per meg unit (per meg)
19 Isotopic signature of 13C in methane, in delta notation, VPDB scale (per mil)
20 Uncertainty of isotopic signature of 13C in methane, in delta notation, VPDB scale (per mil)
21 Isotopic signature of 2H in methane, in delta notation, VSMOW/SLAP scale (per mil)
22 Uncertainty of isotopic signature of 2H in methane, in delta notation, VSMOW/SLAP scale (per mil)

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.

Warning: It works only with JavaScript enabled in your browser.

Direction of relationships

Entry A   Entry B
(=depends on)

Explanation

Enable Javascript and you'll see the dependencies of this dataset explained in this box while hovering over the table on the left.