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Dependencies in Dataset #3800

uploaded by Max Port, MPI-C
during ML-CIRRUS mission

Entries (observed variables)

Information about observed variables of the current dataset.
No. Name
01 Elapsed UT seconds from 0 hours on day given in line 7
02 Dp - Geometric mean diameter (um)
03 Sample Volume, corrected to ambient conditions (cm3)
04 Number of particles in size bin 1 -> Dp = 2.69 um
05 Number of particles in size bin 2 -> Dp = 3.81 um
06 Number of particles in size bin 3 -> Dp = 6.12 um
07 Number of particles in size bin 4 -> Dp = 8.75 um
08 Number of particles in size bin 5 -> Dp = 10.97 um
09 Number of particles in size bin 6 -> Dp = 13.57 um
10 Number of particles in size bin 7 -> Dp = 17.08 um
11 Number of particles in size bin 8 -> Dp = 19.67 um
12 Number of particles in size bin 9 -> Dp = 22.57 um
13 Number of particles in size bin 10 -> Dp = 25.96 um
14 Number of particles in size bin 11 -> Dp = 28.29 um
15 Number of particles in size bin 12 -> Dp = 31.69 um
16 Number of particles in size bin 13 -> Dp = 36.63 um
17 Number of particles in size bin 14 -> Dp = 40.71 um
18 Number of particles in size bin 15 -> Dp = 44.22 um
19 Correction factor Xi

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.