Overview

Dataset statistics

Number of variables4
Number of observations2366
Missing cells0
Missing cells (%)0.0%
Duplicate rows10
Duplicate rows (%)0.4%
Total size in memory74.1 KiB
Average record size in memory32.1 B

Variable types

DateTime1
Text3

Dataset

Description농림식품기술기획평가원_농림수산식품 생산·가공 R&D 논문 정보(20151216) 발표년월, 논문명, 저자, 게재지명 등 관련 정보가 포함되어 있습니다.
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15053194/fileData.do

Alerts

Dataset has 10 (0.4%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 07:05:48.033122
Analysis finished2023-12-12 07:05:48.932660
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct48
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
Minimum2009-12-01 00:00:00
Maximum2013-12-01 00:00:00
2023-12-12T16:05:48.996239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:05:49.153311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
Distinct2323
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
2023-12-12T16:05:49.561263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length244
Median length163
Mean length69.894336
Min length12

Characters and Unicode

Total characters165370
Distinct characters772
Distinct categories16 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2284 ?
Unique (%)96.5%

Sample

1st rowMolecular characterization and phylogenetic analysis of deformed wing viruses.isolated from South Korea
2nd rowDevelopment of RAPD-SCAR Molecular Marker Related to Seed-hair Characteristic in Carrot
3rd rowMolecular characterization and phylogenetic analysis of deformed wing viruses isolated from South Korea
4th rowGrowth and phenolic content of sowthistle grown in a closed-type plant production system with a UV-A or UV-B lamp
5th rowLight intensity and photoperiod influence the growth and development of hydroponically grown leaf lettuce in a closed-type plant factory system
ValueCountFrequency (%)
of 1247
 
4.7%
and 716
 
2.7%
in 598
 
2.3%
448
 
1.7%
the 358
 
1.4%
미치는 241
 
0.9%
on 240
 
0.9%
영향 232
 
0.9%
a 197
 
0.7%
따른 172
 
0.6%
Other values (9376) 22062
83.2%
2023-12-12T16:05:50.458215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24177
 
14.6%
e 10225
 
6.2%
i 9391
 
5.7%
a 8726
 
5.3%
o 8524
 
5.2%
n 7911
 
4.8%
t 7626
 
4.6%
r 6651
 
4.0%
s 5969
 
3.6%
l 4522
 
2.7%
Other values (762) 71648
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 97891
59.2%
Other Letter 29852
 
18.1%
Space Separator 24177
 
14.6%
Uppercase Letter 9973
 
6.0%
Other Punctuation 1018
 
0.6%
Decimal Number 712
 
0.4%
Dash Punctuation 700
 
0.4%
Open Punctuation 408
 
0.2%
Close Punctuation 408
 
0.2%
Final Punctuation 89
 
0.1%
Other values (6) 142
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1143
 
3.8%
830
 
2.8%
779
 
2.6%
525
 
1.8%
496
 
1.7%
456
 
1.5%
453
 
1.5%
432
 
1.4%
427
 
1.4%
378
 
1.3%
Other values (662) 23933
80.2%
Lowercase Letter
ValueCountFrequency (%)
e 10225
10.4%
i 9391
 
9.6%
a 8726
 
8.9%
o 8524
 
8.7%
n 7911
 
8.1%
t 7626
 
7.8%
r 6651
 
6.8%
s 5969
 
6.1%
l 4522
 
4.6%
c 4291
 
4.4%
Other values (22) 24055
24.6%
Uppercase Letter
ValueCountFrequency (%)
C 959
 
9.6%
S 922
 
9.2%
P 900
 
9.0%
A 871
 
8.7%
E 628
 
6.3%
R 567
 
5.7%
M 534
 
5.4%
T 484
 
4.9%
I 430
 
4.3%
D 418
 
4.2%
Other values (16) 3260
32.7%
Decimal Number
ValueCountFrequency (%)
1 190
26.7%
2 138
19.4%
3 83
11.7%
0 75
 
10.5%
4 45
 
6.3%
6 44
 
6.2%
5 41
 
5.8%
8 33
 
4.6%
9 33
 
4.6%
7 30
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 487
47.8%
. 216
21.2%
' 165
 
16.2%
: 92
 
9.0%
/ 38
 
3.7%
; 9
 
0.9%
· 7
 
0.7%
& 3
 
0.3%
# 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
| 19
51.4%
× 7
 
18.9%
< 4
 
10.8%
> 4
 
10.8%
+ 3
 
8.1%
Open Punctuation
ValueCountFrequency (%)
( 402
98.5%
[ 5
 
1.2%
1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 402
98.5%
] 5
 
1.2%
1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 699
99.9%
1
 
0.1%
Final Punctuation
ValueCountFrequency (%)
78
87.6%
11
 
12.4%
Initial Punctuation
ValueCountFrequency (%)
76
87.4%
11
 
12.6%
Letter Number
ValueCountFrequency (%)
4
66.7%
2
33.3%
Space Separator
ValueCountFrequency (%)
24177
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 107858
65.2%
Hangul 29845
 
18.0%
Common 27648
 
16.7%
Greek 12
 
< 0.1%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1143
 
3.8%
830
 
2.8%
779
 
2.6%
525
 
1.8%
496
 
1.7%
456
 
1.5%
453
 
1.5%
432
 
1.4%
427
 
1.4%
378
 
1.3%
Other values (655) 23926
80.2%
Latin
ValueCountFrequency (%)
e 10225
 
9.5%
i 9391
 
8.7%
a 8726
 
8.1%
o 8524
 
7.9%
n 7911
 
7.3%
t 7626
 
7.1%
r 6651
 
6.2%
s 5969
 
5.5%
l 4522
 
4.2%
c 4291
 
4.0%
Other values (45) 34022
31.5%
Common
ValueCountFrequency (%)
24177
87.4%
- 699
 
2.5%
, 487
 
1.8%
( 402
 
1.5%
) 402
 
1.5%
. 216
 
0.8%
1 190
 
0.7%
' 165
 
0.6%
2 138
 
0.5%
: 92
 
0.3%
Other values (30) 680
 
2.5%
Han
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Greek
ValueCountFrequency (%)
β 8
66.7%
δ 1
 
8.3%
τ 1
 
8.3%
κ 1
 
8.3%
α 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 135304
81.8%
Hangul 29845
 
18.0%
Punctuation 177
 
0.1%
None 30
 
< 0.1%
CJK 7
 
< 0.1%
Number Forms 6
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24177
17.9%
e 10225
 
7.6%
i 9391
 
6.9%
a 8726
 
6.4%
o 8524
 
6.3%
n 7911
 
5.8%
t 7626
 
5.6%
r 6651
 
4.9%
s 5969
 
4.4%
l 4522
 
3.3%
Other values (72) 41582
30.7%
Hangul
ValueCountFrequency (%)
1143
 
3.8%
830
 
2.8%
779
 
2.6%
525
 
1.8%
496
 
1.7%
456
 
1.5%
453
 
1.5%
432
 
1.4%
427
 
1.4%
378
 
1.3%
Other values (655) 23926
80.2%
Punctuation
ValueCountFrequency (%)
78
44.1%
76
42.9%
11
 
6.2%
11
 
6.2%
1
 
0.6%
None
ValueCountFrequency (%)
β 8
26.7%
× 7
23.3%
· 7
23.3%
ß 2
 
6.7%
1
 
3.3%
1
 
3.3%
δ 1
 
3.3%
τ 1
 
3.3%
κ 1
 
3.3%
α 1
 
3.3%
Number Forms
ValueCountFrequency (%)
4
66.7%
2
33.3%
CJK
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
CJK Compat
ValueCountFrequency (%)
1
100.0%

저자
Text

Distinct1596
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
2023-12-12T16:05:50.907308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length3
Mean length5.4763314
Min length2

Characters and Unicode

Total characters12957
Distinct characters319
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1154 ?
Unique (%)48.8%

Sample

1st rowReddy, Kondreddy Eswar
2nd rowEun-JoShim
3rd rowSeung-WonKang
4th rowMin-JeongLee
5th rowJeongHwaKang
ValueCountFrequency (%)
kim 64
 
2.1%
lee 47
 
1.5%
park 35
 
1.1%
choi 18
 
0.6%
최기춘 15
 
0.5%
김남훈 12
 
0.4%
s 12
 
0.4%
김성은 11
 
0.4%
h 11
 
0.4%
kang 11
 
0.4%
Other values (1712) 2811
92.3%
2023-12-12T16:05:51.559799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 737
 
5.7%
681
 
5.3%
o 545
 
4.2%
a 444
 
3.4%
e 443
 
3.4%
, 405
 
3.1%
379
 
2.9%
u 371
 
2.9%
i 351
 
2.7%
g 342
 
2.6%
Other values (309) 8259
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5486
42.3%
Lowercase Letter 4311
33.3%
Uppercase Letter 1650
 
12.7%
Space Separator 681
 
5.3%
Other Punctuation 607
 
4.7%
Dash Punctuation 197
 
1.5%
Close Punctuation 10
 
0.1%
Open Punctuation 10
 
0.1%
Decimal Number 4
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
379
 
6.9%
261
 
4.8%
191
 
3.5%
164
 
3.0%
122
 
2.2%
107
 
2.0%
106
 
1.9%
96
 
1.7%
91
 
1.7%
86
 
1.6%
Other values (249) 3883
70.8%
Uppercase Letter
ValueCountFrequency (%)
J 208
12.6%
S 207
12.5%
K 193
11.7%
H 189
11.5%
Y 121
 
7.3%
C 95
 
5.8%
M 89
 
5.4%
L 82
 
5.0%
P 62
 
3.8%
I 45
 
2.7%
Other values (16) 359
21.8%
Lowercase Letter
ValueCountFrequency (%)
n 737
17.1%
o 545
12.6%
a 444
10.3%
e 443
10.3%
u 371
8.6%
i 351
8.1%
g 342
7.9%
h 202
 
4.7%
m 165
 
3.8%
y 144
 
3.3%
Other values (15) 567
13.2%
Other Punctuation
ValueCountFrequency (%)
, 405
66.7%
. 179
29.5%
; 23
 
3.8%
Space Separator
ValueCountFrequency (%)
681
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 197
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Decimal Number
ValueCountFrequency (%)
1 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5961
46.0%
Hangul 5486
42.3%
Common 1510
 
11.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
379
 
6.9%
261
 
4.8%
191
 
3.5%
164
 
3.0%
122
 
2.2%
107
 
2.0%
106
 
1.9%
96
 
1.7%
91
 
1.7%
86
 
1.6%
Other values (249) 3883
70.8%
Latin
ValueCountFrequency (%)
n 737
 
12.4%
o 545
 
9.1%
a 444
 
7.4%
e 443
 
7.4%
u 371
 
6.2%
i 351
 
5.9%
g 342
 
5.7%
J 208
 
3.5%
S 207
 
3.5%
h 202
 
3.4%
Other values (41) 2111
35.4%
Common
ValueCountFrequency (%)
681
45.1%
, 405
26.8%
- 197
 
13.0%
. 179
 
11.9%
; 23
 
1.5%
) 10
 
0.7%
( 10
 
0.7%
1 4
 
0.3%
_ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7471
57.7%
Hangul 5486
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 737
 
9.9%
681
 
9.1%
o 545
 
7.3%
a 444
 
5.9%
e 443
 
5.9%
, 405
 
5.4%
u 371
 
5.0%
i 351
 
4.7%
g 342
 
4.6%
J 208
 
2.8%
Other values (50) 2944
39.4%
Hangul
ValueCountFrequency (%)
379
 
6.9%
261
 
4.8%
191
 
3.5%
164
 
3.0%
122
 
2.2%
107
 
2.0%
106
 
1.9%
96
 
1.7%
91
 
1.7%
86
 
1.6%
Other values (249) 3883
70.8%
Distinct720
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
2023-12-12T16:05:51.944800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length123
Median length81
Mean length20.160609
Min length4

Characters and Unicode

Total characters47700
Distinct characters267
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique451 ?
Unique (%)19.1%

Sample

1st rowVETERINARY MICROBIOLOGY
2nd rowKorean Journal of Horticultural Science & Technology
3rd rowVeterinary Microbiology
4th rowHORTICULTURE ENVIRONMENT AND BIOTECHNOLOGY
5th rowHort. Environ. Biotechnol.
ValueCountFrequency (%)
of 561
 
9.0%
journal 520
 
8.3%
and 301
 
4.8%
science 253
 
4.0%
korean 197
 
3.1%
171
 
2.7%
biotechnology 126
 
2.0%
한국육종학회지 115
 
1.8%
technology 108
 
1.7%
food 107
 
1.7%
Other values (712) 3795
60.7%
2023-12-12T16:05:52.565174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3909
 
8.2%
o 2134
 
4.5%
O 1683
 
3.5%
e 1629
 
3.4%
n 1582
 
3.3%
A 1380
 
2.9%
E 1341
 
2.8%
a 1300
 
2.7%
N 1284
 
2.7%
1241
 
2.6%
Other values (257) 30217
63.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 16135
33.8%
Lowercase Letter 15903
33.3%
Other Letter 11217
23.5%
Space Separator 3909
 
8.2%
Other Punctuation 206
 
0.4%
Decimal Number 110
 
0.2%
Close Punctuation 69
 
0.1%
Open Punctuation 69
 
0.1%
Dash Punctuation 63
 
0.1%
Math Symbol 19
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1241
 
11.1%
1136
 
10.1%
1103
 
9.8%
997
 
8.9%
961
 
8.6%
293
 
2.6%
292
 
2.6%
246
 
2.2%
235
 
2.1%
223
 
2.0%
Other values (187) 4490
40.0%
Lowercase Letter
ValueCountFrequency (%)
o 2134
13.4%
e 1629
10.2%
n 1582
9.9%
a 1300
 
8.2%
i 1237
 
7.8%
r 1123
 
7.1%
l 1109
 
7.0%
c 1021
 
6.4%
t 904
 
5.7%
u 608
 
3.8%
Other values (16) 3256
20.5%
Uppercase Letter
ValueCountFrequency (%)
O 1683
 
10.4%
A 1380
 
8.6%
E 1341
 
8.3%
N 1284
 
8.0%
R 1106
 
6.9%
L 1063
 
6.6%
I 1044
 
6.5%
C 1012
 
6.3%
S 910
 
5.6%
T 820
 
5.1%
Other values (16) 4492
27.8%
Decimal Number
ValueCountFrequency (%)
0 44
40.0%
2 26
23.6%
1 17
 
15.5%
9 6
 
5.5%
6 6
 
5.5%
4 5
 
4.5%
7 3
 
2.7%
5 2
 
1.8%
3 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
& 139
67.5%
. 59
28.6%
: 7
 
3.4%
' 1
 
0.5%
Space Separator
ValueCountFrequency (%)
3909
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Math Symbol
ValueCountFrequency (%)
= 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 32038
67.2%
Hangul 11084
 
23.2%
Common 4445
 
9.3%
Han 133
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1241
 
11.2%
1136
 
10.2%
1103
 
10.0%
997
 
9.0%
961
 
8.7%
293
 
2.6%
292
 
2.6%
246
 
2.2%
235
 
2.1%
223
 
2.0%
Other values (164) 4357
39.3%
Latin
ValueCountFrequency (%)
o 2134
 
6.7%
O 1683
 
5.3%
e 1629
 
5.1%
n 1582
 
4.9%
A 1380
 
4.3%
E 1341
 
4.2%
a 1300
 
4.1%
N 1284
 
4.0%
i 1237
 
3.9%
r 1123
 
3.5%
Other values (42) 17345
54.1%
Han
ValueCountFrequency (%)
16
12.0%
16
12.0%
11
 
8.3%
10
 
7.5%
10
 
7.5%
8
 
6.0%
8
 
6.0%
8
 
6.0%
7
 
5.3%
7
 
5.3%
Other values (13) 32
24.1%
Common
ValueCountFrequency (%)
3909
87.9%
& 139
 
3.1%
) 69
 
1.6%
( 69
 
1.6%
- 63
 
1.4%
. 59
 
1.3%
0 44
 
1.0%
2 26
 
0.6%
= 19
 
0.4%
1 17
 
0.4%
Other values (8) 31
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36483
76.5%
Hangul 11084
 
23.2%
CJK 133
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3909
 
10.7%
o 2134
 
5.8%
O 1683
 
4.6%
e 1629
 
4.5%
n 1582
 
4.3%
A 1380
 
3.8%
E 1341
 
3.7%
a 1300
 
3.6%
N 1284
 
3.5%
i 1237
 
3.4%
Other values (60) 19004
52.1%
Hangul
ValueCountFrequency (%)
1241
 
11.2%
1136
 
10.2%
1103
 
10.0%
997
 
9.0%
961
 
8.7%
293
 
2.6%
292
 
2.6%
246
 
2.2%
235
 
2.1%
223
 
2.0%
Other values (164) 4357
39.3%
CJK
ValueCountFrequency (%)
16
12.0%
16
12.0%
11
 
8.3%
10
 
7.5%
10
 
7.5%
8
 
6.0%
8
 
6.0%
8
 
6.0%
7
 
5.3%
7
 
5.3%
Other values (13) 32
24.1%

Missing values

2023-12-12T16:05:48.781202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:05:48.889329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

발표년월논문명저자게재지명
02013-12-01Molecular characterization and phylogenetic analysis of deformed wing viruses.isolated from South KoreaReddy, Kondreddy EswarVETERINARY MICROBIOLOGY
12013-12-01Development of RAPD-SCAR Molecular Marker Related to Seed-hair Characteristic in CarrotEun-JoShimKorean Journal of Horticultural Science & Technology
22013-12-01Molecular characterization and phylogenetic analysis of deformed wing viruses isolated from South KoreaSeung-WonKangVeterinary Microbiology
32013-12-01Growth and phenolic content of sowthistle grown in a closed-type plant production system with a UV-A or UV-B lampMin-JeongLeeHORTICULTURE ENVIRONMENT AND BIOTECHNOLOGY
42013-12-01Light intensity and photoperiod influence the growth and development of hydroponically grown leaf lettuce in a closed-type plant factory systemJeongHwaKangHort. Environ. Biotechnol.
52013-12-01밀폐형 식물생산시스템에서 백색 LED를 이용한 광도와 광주기에 따른 상추의 생장박지은Protected Horticulture and Plant Factory
62013-12-01Growth and Phenolic Content of Sowthistle Grown in a Closed-type Plant Production System with a UV-A or UV-B LampMin-JeongLeeHorticulture Environment and Biotechnology
72013-12-01시들음병 저항성 양배추 품종 ‘CT-171’ 육성송준호원예과학기술지
82013-12-01홀스타인 착유우에서 중성세제불용섬유소의 수준과 조사료유래 중성세제불용섬유소의 수준이 사료섭취량 및 유생산성에 미치는 영향이도형한국초지조사료학회지
92013-10-01Physicochemical and Sensory Properties of Restructured Jerky with Four AdditivesKimYoungBoongKorean J. Food Sci. An.
발표년월논문명저자게재지명
23562009-12-01선인장 Mammillaria goldii, M. theresae와 M. pseudopectinata의 생육, 개화 및 종자형성 특성송천영화훼연구
23572009-12-01과채류 주수입국 일본에 있어서 파프리카에대한 선호도 분석심이성한국생물환경조절학회
23582009-12-01멜론 수출농가 경영컨설팅 의향 분석송경환지역발전연구
23592009-12-01A GHR Polymorphism and Its Associations with Carcass Traits in Hanwoo CattleHan,S.-H.;Han, S.-H.Genes & Genomics
23602009-12-01초임계유체 추출을 이용한 포도씨 tocotrienol추출 조건 최적화정헌상;김경미한국식품과학회지
23612009-12-01Maturation and Spawning of the Korean Anchovy Coilia nasus on the West Coast of Korea전제천발생과 생식
23622009-12-01어린 포도 잎을 이용한 폴레페놀 고함유 분말 제조장석원한국식품저장유통학회지
23632009-12-01Evaluation of Extruded Pellets Containing Different Protein and Lipid Levels, and Raw Fish-Based Moist Pellet for Growth of Flounder(Paralichthys olivaceus)김경덕한국수산과학회지
23642009-12-01시설하우스용 보온자재의 보온특성정성원한국생물환경조절학회
23652009-12-01Histological and Biochemical Analyses on Reproductive Cycle of Gomphina melanaegis (Bivalvia; Veneridae)김수경한국수산과학회지

Duplicate rows

Most frequently occurring

발표년월논문명저자게재지명# duplicates
92013-06-01Silicon Uptake Level of Six Potted Plants from a Potassium Silicate-Supplemented Hydroponic Solution손문숙원예과학기술지3
02010-06-01유자 부산물 에탄올 추출물의 항노화 및 미백효과김다슬대한화장품학회지2
12011-12-01간척지토양에서 하수슬러지 고화물 처리가 에너지작물의 생육에 미치는 영향안기홍한국작물학회지2
22012-12-01A novel thermotolerant and acidotolerant peptide produced by a Bacillus strain newly isolated from a fermented food (kimchi) shows activity against multidrug-resistant bacteria.ChoiYunHeeInternational Journal of Antimicrobial Agents2
32012-12-01An extremely alkaline novel xylanase from a newly isolated streptomyces strain cultivated in corncob medium.SimkhadaJRApplied Biochemistry and Biotechnology2
42012-12-01Automatic Tension Control of a Timber Carriage Used for Biomass Collection최윤성바이오시스템공학2
52012-12-01Effect of Different Biosynthetic Precursors on the Production of Nargenicin A1 from Metabolically Engineered Nocardia sp. CS682DineshKojuJournal of Microbiology and Biotechnology2
62012-12-01Validity Test for Molecular Markers Associated with Resistance to Phytophthora Root Rot in Chili Pepper (Capsicum annuum L.)WonPhilLeeKorean Journal of Horticultural Science and Technolology2
72012-12-01파프리카 여름재배시 차광방법이 생육과 과실특성에 미치는 영향하준봉한국생물환경조절학회지2
82013-02-01Subirrigational supply of silicon affects the growth of three chrysanthemum cultivarsI. SivanesanHorticulture Environment and Biotechnology2