Four open datasets of
atmospheric ion and
aerosol measurements
Hannes.Tammet@ut.ee
with acknowledgements to colleagues
providing the data for open access datasets
The DataCite global consortium
(https://www.datacite.org) supports
archiving of research data and helps to
assign to datasets digital object
identifiers (DOI). This opportunity is
used uploading datasets of atmospheric
ion and aerosol measurements to
a safe repository and making the data
accessible for everybody.
ATMEL2007A
► http://dx.doi.org/10.15155/repo-1
FinEstIon2003_06
► http://dx.doi.org/10.15155/repo-4
Hyytiala08_10aerosol
► http://dx.doi.org/10.15155/repo-3
Nanoion2010_11
► http://dx.doi.org/10.15155/repo-2
Today only small part of information available in
these datasets is utilized in the aerosol research.
1. ATMEL2007A
Preliminary version was presented in Pikajärve workshop 2005.
Publication: Tammet, H. (2009). A joint dataset of fair-weather
atmospheric electricity. Atmos. Res., 91, 194–200.
The amount of included hourly average values is about 12,000,000.
A focus for aerosol research is the subset of measurements from
1 August 1972 to 31 December 1983 on Wank Peak, a.s.l. 1780 m.
The measurements were arranged by the Director of the Fraunhofer
Institute of Atmospheric Environment at Garmisch-Partenkirchen Dr.
Reinhold Reiter.
Wank data include hourly averages of CN concentrations routinely
recorded using General Electric CNC (designed by T.A. Rich)
equipped with automatically commutable diffusion battery. CN
concentration was recorded: 1without diffusion battery, 2with
electrically neutral diffusion battery, and 3with charged diffusion
battery. Other recorded quantities are concentrations of air ions,
concentration of NOx, UV-radiation and total radiation, etc.
2007 July
ATMEL2007A tablemaker
DataCite version of ATMEL2007A includes a new tool: the Tablemaker.
It allows extract Excel tables much easier than the universal tool called the
DataDiurna data manager. Additionally, all data are presented simultaneously
as a DataDiurna diary and as seven large Excel tables.
EXAMPLE:
1. Prepare description of the table as a text file table_description.txt
------------------------------------1: Wank_78_83.xls
2: 19780101 19831231
3: -999
CNR1:cm-3@Wank
CNR2:cm-3@Wank
NOX:ug/m3@Wank
Rad:W/m2@Wank
UV:mW/m2@Wank
2. Drag table_description.txt onto the icon of ATMEL2007tablemaker.exe
An excerpt from the result:
Hour
CNR1
CNR2
NOX
Rad
UV
6
955
700
1.1
0
0
7
945
695
1.1
0
0
8
960
705
1.1
0
0.12
9
1060
745
1.2
42
0.79
10
1060
755
1.1
151
2.38
11
1310
890
1.1
236
3.85
12
1825
1065
1.2
252
4.18
13
2065
1075
0.9
237
3.54
14
2050
995
0.7
196
2.24
15
1830
855
0.8
113
0.9
16
1425
685
0.9
29
0.16
17
1090
550
0.9
0
0
Calculate:
CN-coarse = CNR2
CN-fine = CNR1 – CNR2
UV/Rad = 1000 * UV / Rad
1600
1800
CN-fine
1500
CN-fine
1000
CN, cm-3
CN, cm-3
1300
CN-coarse
1200
700
900
400
600
1
2
3
NOx, ug m-3
4
5
CN-coarse
5 6 7 8 9 10 11 12 13 14 15 16
UV/Rad
2. FinEstIon2003_06
Contains air ion mobility and fine nanoparticle size distribution
measurements in Hyytiälä, Tahkuse. Preliminary version of the
dataset was presented in Pühajärve workshop 2007.
For DataCite repository the dataset was converted into a large
Excel table Finestion.xls and accompanied witha new tool
Finestractor.exe (why?)
Finestion.xls is a text file, where every data line presents
measurements for a 10-minute period. All possible periods are
saved without any omission for all 4 years. The number of hours
during four years is (365 + 366 + 355 + 355) × 24 = 35064 and
number of 10-minute periods is 210384. Thus the file consist
210385 text lines, where the first line is the header. Every line
contains 273 tab-delimited words. The words of the header are the
brief names of variables and the words of following lines are values
of the variables.
FinEstIon2003_06
In addition to the numerical table, the dataset contains a subset
of diagrams for measurements in Tartu. Excerpt from the index:
A diagram:
3. Hyytiala08_10aerosol
Introduced in the paper Tammet, H., Kulmala, M. (2014). Empiric equations of
coagulation sink of fine nanoparticles on background aerosol optimized for boreal
zone. Boreal Environ. Res., 19, 115–126.
Contains results of routine measurements during 3 years of 2008–2010. The
particle size range from 3 nm to 15μm is split into 60 fractions and the records
of distribution function are presented for 21682 hours of measurements.
The dataset includes three files:
Data_Hyytiala08_10aerosol.xls – a table, which contains 60 columns of the
particle size distribution and 30 columns of complementary variables.
Description_Hyytiala08_10aerosol.pdf – detailed description of origin and
structure the data. Additionally includes sample diagrams, which illustrate the data
and may provoke new ideas for studies on atmospheric aerosol.
Package_Hyytiala08_10aerosol.zip – a compressed package, which contains
both the data file and the description file. The package is to be downloaded to a
personal computer, unzipped and used offline.
k
Mean size distributions
 d  dN


 100 nm  d lg d
10000
1000
100
10
k=0
k=1
1
k=2
0.1
k=3
0.01
10
100
1000
d , nm 10000
Diurnal variation
Weekly variation
4. Nanoion2010_11
Described in the paper Tammet, H., Komsaare, K., Hõrrak, U. (2014).
Intermediate ions in the atmosphere. Atmos. Res., 135&136, 263–273.
Includes results of a measurement campaign started at 1 April 2010
and finished at 8 November 2011.
The instrument SIGMA is described in the paper Tammet, H. (2011).
Symmetric inclined grid mobility analyzer for the measurement of
charged clusters and fine nanoparticles in atmospheric air.
Aerosol Sci. Technol., 45, 468–479.
The author acknowledges Kaupo Komsaare for taking care of the
instrument, Sander Mirme for presenting the meteorological data, and
Urmas Hõrrak for general arrangements and discussions.
The high-quality measurements cover 7647 hours, which is about 54%
of the full 587 day measurement period.
1200
-3
dN/dlgZ, cm
Full period average
positive
800
negative
400
0
0
1
2
Z
3
80
-3
dN/dlgZ, cm
positive
60
negative
40
20
0
0
0.1
0.2
0.3
0.4
0.5
Z 0.6
1500
-3
dN/dlgd, cm
positive
Full period average
negative
1000
500
0
0
1
2
3
4
5
6 d, nm 7
2
3
4
5
6 d, nm
80
-3
dN/dlgd, cm
60
40
positive
20
negative
0
0
1
7
Includes contour plots for 147 days, which satisfy the requirements:
 uninterrupted diurnal set of 288 five-minute records,
 no considerable disturbances and low instrumental noise.
18
Perfect days
15
12
9
6
3
0
4
5
6
7
8 9 10 11 12 1 2
2010
month
3
4
5
6 7
2011
8
9 10 11
Noise: excerpt from Hyytiälä SMPS measurements
(for comparison)
Hour / nm
2.9
3.4
3.9
4.5
5.2
6.0
11
0
0
0
5
36
11
12
0
0
0
3
18
6
13
0
0
7
26
62
52
14
0
0
8
21
10
8
15
98
40
0
7
44
30
16
0
0
13
35
30
30
17
0
0
8
20
2
53
18
0
21
57
82
25
38
19
49
36
29
39
76
126
20
0
0
7
38
128
185
21
0
0
3
23
96
185
22
0
16
25
23
36
113
23
0
0
0
8
50
142
Noise: excerpt from SIGMA measurements (20110318, + ions)
Hour / nm
0.49
0.65
0.87
1.16
1.54
2.05
2.74
3.65
4.87
6.50
7
493
742 1039
566
145
59
38
39
44
51
8
417
645
946
651
430
323
210
122
60
50
9
439
678
979
680
451
354
296
290
329
232
10
389
605
895
579
310
271
278
326
518
715
11
401
594
816
493
268
216
242
327
554
772
12
430
627
848
470
214
157
154
198
338
553
13
438
670
909
496
188
121
112
149
198
279
14
462
720
960
491
129
66
48
58
87
143
15
482
734
963
443
82
29
29
34
59
110
16
479
738
942
398
52
16
22
30
68
155
17
471
737
952
401
47
18
16
26
60
161
18
452
709
941
427
75
15
12
18
37
87
19
449
726
973
437
68
20
19
18
35
58
Explanation of low noise: air flow rate about 2 m3/min
There ain’t no such thing as a free lunch?
Take a free dataset and enjoy!
Thank you for attention!