Overview

Dataset statistics

Number of variables5
Number of observations309
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.3%
Total size in memory12.5 KiB
Average record size in memory41.4 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description국립낙동강생물자원관에서 수행한 연구 결과를 바탕으로 발간된 연구 논문에 대한 데이터(연도, 논문명, 등재매체, 저자)
URLhttps://www.data.go.kr/data/15114821/fileData.do

Alerts

데이터기준일 has constant value ""Constant
Dataset has 1 (0.3%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 03:55:21.073399
Analysis finished2023-12-12 03:55:21.924926
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.4337
Minimum2017
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T12:55:22.023503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2018
Q12018
median2019
Q32020
95-th percentile2022
Maximum2022
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.2611708
Coefficient of variation (CV)0.00062451709
Kurtosis-0.82767577
Mean2019.4337
Median Absolute Deviation (MAD)1
Skewness0.39989118
Sum624005
Variance1.5905518
MonotonicityNot monotonic
2023-12-12T12:55:22.226764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2018 97
31.4%
2020 88
28.5%
2019 62
20.1%
2021 38
 
12.3%
2022 23
 
7.4%
2017 1
 
0.3%
ValueCountFrequency (%)
2017 1
 
0.3%
2018 97
31.4%
2019 62
20.1%
2020 88
28.5%
2021 38
 
12.3%
2022 23
 
7.4%
ValueCountFrequency (%)
2022 23
 
7.4%
2021 38
 
12.3%
2020 88
28.5%
2019 62
20.1%
2018 97
31.4%
2017 1
 
0.3%

논문명
Text

Distinct300
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-12T12:55:22.629562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length235
Median length139
Mean length102.90291
Min length15

Characters and Unicode

Total characters31797
Distinct characters260
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique291 ?
Unique (%)94.2%

Sample

1st rowAquariibacter albus gen. nov., sp. nov., a new member of the order Burkholderiales, isolated from a freshwater aquarium
2nd rowNew Records of Two Dorylaimoides Species (Nematoda: Dorylaimida: Mydonomidae) from Korea
3rd rowThree new species of subterranean amphipods (Pseudocrangonyctidae: Pseudocrangonyx) from limestone caves in South Korea
4th rowLPS로 유도된 RAW 264.7 대식세포의 염증반응에서 MAPK 신호경로 조절을 통한 지칭개 에탄올 추출물의 항염증 효과
5th rowMelanogenesis inhibitory activities of Epicatechin-3-O-gallate isolated from Polygonum amphibium L.
ValueCountFrequency (%)
of 298
 
7.2%
in 128
 
3.1%
and 121
 
2.9%
the 108
 
2.6%
from 107
 
2.6%
sp 72
 
1.7%
isolated 71
 
1.7%
a 68
 
1.6%
korea 63
 
1.5%
freshwater 56
 
1.4%
Other values (1426) 3056
73.7%
2023-12-12T12:55:23.361878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3850
 
12.1%
e 2543
 
8.0%
a 2313
 
7.3%
i 2304
 
7.2%
o 2256
 
7.1%
t 1968
 
6.2%
n 1850
 
5.8%
r 1652
 
5.2%
s 1520
 
4.8%
c 1180
 
3.7%
Other values (250) 10361
32.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 24627
77.5%
Space Separator 3850
 
12.1%
Uppercase Letter 1924
 
6.1%
Other Letter 563
 
1.8%
Other Punctuation 341
 
1.1%
Decimal Number 232
 
0.7%
Dash Punctuation 152
 
0.5%
Open Punctuation 51
 
0.2%
Close Punctuation 51
 
0.2%
Final Punctuation 3
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 21
 
3.7%
물 14
 
2.5%
에 13
 
2.3%
및 12
 
2.1%
성 11
 
2.0%
수 11
 
2.0%
생 11
 
2.0%
산 10
 
1.8%
유 10
 
1.8%
동 10
 
1.8%
Other values (172) 440
78.2%
Lowercase Letter
ValueCountFrequency (%)
e 2543
10.3%
a 2313
 
9.4%
i 2304
 
9.4%
o 2256
 
9.2%
t 1968
 
8.0%
n 1850
 
7.5%
r 1652
 
6.7%
s 1520
 
6.2%
c 1180
 
4.8%
l 1040
 
4.2%
Other values (19) 6001
24.4%
Uppercase Letter
ValueCountFrequency (%)
S 194
 
10.1%
C 176
 
9.1%
A 166
 
8.6%
P 132
 
6.9%
R 120
 
6.2%
F 109
 
5.7%
M 107
 
5.6%
T 98
 
5.1%
I 96
 
5.0%
N 90
 
4.7%
Other values (15) 636
33.1%
Decimal Number
ValueCountFrequency (%)
1 62
26.7%
2 55
23.7%
3 25
10.8%
5 18
 
7.8%
4 17
 
7.3%
0 15
 
6.5%
6 14
 
6.0%
7 10
 
4.3%
9 9
 
3.9%
8 7
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 161
47.2%
, 135
39.6%
: 22
 
6.5%
? 14
 
4.1%
/ 9
 
2.6%
Final Punctuation
ValueCountFrequency (%)
’ 2
66.7%
” 1
33.3%
Initial Punctuation
ValueCountFrequency (%)
“ 1
50.0%
‘ 1
50.0%
Space Separator
ValueCountFrequency (%)
3850
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 26540
83.5%
Common 4683
 
14.7%
Hangul 563
 
1.8%
Greek 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 21
 
3.7%
물 14
 
2.5%
에 13
 
2.3%
및 12
 
2.1%
성 11
 
2.0%
수 11
 
2.0%
생 11
 
2.0%
산 10
 
1.8%
유 10
 
1.8%
동 10
 
1.8%
Other values (172) 440
78.2%
Latin
ValueCountFrequency (%)
e 2543
 
9.6%
a 2313
 
8.7%
i 2304
 
8.7%
o 2256
 
8.5%
t 1968
 
7.4%
n 1850
 
7.0%
r 1652
 
6.2%
s 1520
 
5.7%
c 1180
 
4.4%
l 1040
 
3.9%
Other values (41) 7914
29.8%
Common
ValueCountFrequency (%)
3850
82.2%
. 161
 
3.4%
- 152
 
3.2%
, 135
 
2.9%
1 62
 
1.3%
2 55
 
1.2%
( 51
 
1.1%
) 51
 
1.1%
3 25
 
0.5%
: 22
 
0.5%
Other values (14) 119
 
2.5%
Greek
ValueCountFrequency (%)
κ 6
54.5%
β 4
36.4%
α 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31218
98.2%
Hangul 563
 
1.8%
None 11
 
< 0.1%
Punctuation 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3850
 
12.3%
e 2543
 
8.1%
a 2313
 
7.4%
i 2304
 
7.4%
o 2256
 
7.2%
t 1968
 
6.3%
n 1850
 
5.9%
r 1652
 
5.3%
s 1520
 
4.9%
c 1180
 
3.8%
Other values (61) 9782
31.3%
Hangul
ValueCountFrequency (%)
의 21
 
3.7%
물 14
 
2.5%
에 13
 
2.3%
및 12
 
2.1%
성 11
 
2.0%
수 11
 
2.0%
생 11
 
2.0%
산 10
 
1.8%
유 10
 
1.8%
동 10
 
1.8%
Other values (172) 440
78.2%
None
ValueCountFrequency (%)
κ 6
54.5%
β 4
36.4%
α 1
 
9.1%
Punctuation
ValueCountFrequency (%)
’ 2
40.0%
” 1
20.0%
“ 1
20.0%
‘ 1
20.0%

등재매체
Text

Distinct171
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-12T12:55:23.720937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length45
Mean length23.126214
Min length4

Characters and Unicode

Total characters7146
Distinct characters144
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)37.9%

Sample

1st rowInternationalJournalofSystematicandEvolution
2nd rowAnimalSystematicsEvolutionandDiversity
3rd rowPeerJ
4th row한국자원식물학회
5th rowMicrobiologyandBiotechnologyLetters
ValueCountFrequency (%)
한국미생물생명공학회 12
 
3.9%
한국균학회 9
 
2.9%
한국자원식물학회 9
 
2.9%
한국미생물학회 8
 
2.6%
internationaljournalofsystematicandevolutionarymicrobiology 7
 
2.3%
한국환경생물학회 7
 
2.3%
koreanjournalofenvironmentalbiology 7
 
2.3%
thekoreanjournalofmycology 6
 
1.9%
jointmeetingofthekoreansocietyofprotistologistsandthejapanesesocietyofprotistologists 6
 
1.9%
microbiologyresourceannouncements 5
 
1.6%
Other values (154) 233
75.4%
2023-12-12T12:55:24.464945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 766
 
10.7%
n 519
 
7.3%
e 493
 
6.9%
i 455
 
6.4%
a 416
 
5.8%
r 359
 
5.0%
t 356
 
5.0%
l 315
 
4.4%
c 269
 
3.8%
s 200
 
2.8%
Other values (134) 2998
42.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5147
72.0%
Other Letter 1186
 
16.6%
Uppercase Letter 658
 
9.2%
Decimal Number 114
 
1.6%
Other Punctuation 28
 
0.4%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%
Dash Punctuation 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 157
13.2%
학 150
12.6%
국 128
10.8%
한 119
 
10.0%
생 104
 
8.8%
물 87
 
7.3%
미 42
 
3.5%
공 34
 
2.9%
명 30
 
2.5%
대 27
 
2.3%
Other values (66) 308
26.0%
Lowercase Letter
ValueCountFrequency (%)
o 766
14.9%
n 519
10.1%
e 493
9.6%
i 455
8.8%
a 416
8.1%
r 359
 
7.0%
t 356
 
6.9%
l 315
 
6.1%
c 269
 
5.2%
s 200
 
3.9%
Other values (15) 999
19.4%
Uppercase Letter
ValueCountFrequency (%)
M 79
12.0%
J 78
11.9%
S 74
11.2%
K 51
 
7.8%
I 42
 
6.4%
E 42
 
6.4%
B 41
 
6.2%
R 39
 
5.9%
A 38
 
5.8%
P 35
 
5.3%
Other values (14) 139
21.1%
Decimal Number
ValueCountFrequency (%)
2 32
28.1%
0 29
25.4%
1 21
18.4%
8 13
11.4%
7 8
 
7.0%
4 6
 
5.3%
5 2
 
1.8%
3 2
 
1.8%
9 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
· 7
25.0%
. 7
25.0%
, 5
17.9%
" 4
14.3%
? 3
10.7%
& 2
 
7.1%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5805
81.2%
Hangul 1186
 
16.6%
Common 155
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 157
13.2%
학 150
12.6%
국 128
10.8%
한 119
 
10.0%
생 104
 
8.8%
물 87
 
7.3%
미 42
 
3.5%
공 34
 
2.9%
명 30
 
2.5%
대 27
 
2.3%
Other values (66) 308
26.0%
Latin
ValueCountFrequency (%)
o 766
13.2%
n 519
 
8.9%
e 493
 
8.5%
i 455
 
7.8%
a 416
 
7.2%
r 359
 
6.2%
t 356
 
6.1%
l 315
 
5.4%
c 269
 
4.6%
s 200
 
3.4%
Other values (39) 1657
28.5%
Common
ValueCountFrequency (%)
2 32
20.6%
0 29
18.7%
1 21
13.5%
8 13
8.4%
7 8
 
5.2%
· 7
 
4.5%
. 7
 
4.5%
4 6
 
3.9%
, 5
 
3.2%
) 4
 
2.6%
Other values (9) 23
14.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5953
83.3%
Hangul 1186
 
16.6%
None 7
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 766
12.9%
n 519
 
8.7%
e 493
 
8.3%
i 455
 
7.6%
a 416
 
7.0%
r 359
 
6.0%
t 356
 
6.0%
l 315
 
5.3%
c 269
 
4.5%
s 200
 
3.4%
Other values (57) 1805
30.3%
Hangul
ValueCountFrequency (%)
회 157
13.2%
학 150
12.6%
국 128
10.8%
한 119
 
10.0%
생 104
 
8.8%
물 87
 
7.3%
미 42
 
3.5%
공 34
 
2.9%
명 30
 
2.5%
대 27
 
2.3%
Other values (66) 308
26.0%
None
ValueCountFrequency (%)
· 7
100.0%

저자
Text

Distinct217
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-12T12:55:24.815793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length40
Mean length14.711974
Min length3

Characters and Unicode

Total characters4546
Distinct characters157
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)54.7%

Sample

1st row천성준
2nd row김지연,김태호,박중기
3rd row이치우, 민기식
4th row정진우,김철환,오영택,이영경,정용태,황병수,강창희,조표연
5th row김철환,남현주,오영택,이영경,정용태,황병수,황용,이승영
ValueCountFrequency (%)
정진우 26
 
3.8%
최아영 20
 
2.9%
백기운 16
 
2.3%
문혜연 15
 
2.2%
고재덕 15
 
2.2%
유상미 14
 
2.0%
조표연 14
 
2.0%
이상득 13
 
1.9%
정지영 13
 
1.9%
한지혜 13
 
1.9%
Other values (230) 529
76.9%
2023-12-12T12:55:25.393847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 785
 
17.3%
381
 
8.4%
정 214
 
4.7%
영 161
 
3.5%
진 131
 
2.9%
이 114
 
2.5%
상 110
 
2.4%
김 109
 
2.4%
미 100
 
2.2%
혜 97
 
2.1%
Other values (147) 2344
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3232
71.1%
Other Punctuation 793
 
17.4%
Space Separator 381
 
8.4%
Lowercase Letter 87
 
1.9%
Uppercase Letter 44
 
1.0%
Dash Punctuation 7
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 214
 
6.6%
영 161
 
5.0%
진 131
 
4.1%
이 114
 
3.5%
상 110
 
3.4%
김 109
 
3.4%
미 100
 
3.1%
혜 97
 
3.0%
유 91
 
2.8%
지 90
 
2.8%
Other values (104) 2015
62.3%
Uppercase Letter
ValueCountFrequency (%)
H 7
15.9%
S 5
11.4%
K 4
 
9.1%
C 3
 
6.8%
J 3
 
6.8%
T 3
 
6.8%
D 2
 
4.5%
A 2
 
4.5%
O 2
 
4.5%
L 2
 
4.5%
Other values (9) 11
25.0%
Lowercase Letter
ValueCountFrequency (%)
n 15
17.2%
a 11
12.6%
e 10
11.5%
g 8
9.2%
u 8
9.2%
m 6
 
6.9%
i 6
 
6.9%
h 5
 
5.7%
y 4
 
4.6%
o 4
 
4.6%
Other values (7) 10
11.5%
Other Punctuation
ValueCountFrequency (%)
, 785
99.0%
? 7
 
0.9%
* 1
 
0.1%
Space Separator
ValueCountFrequency (%)
381
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3232
71.1%
Common 1183
 
26.0%
Latin 131
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 214
 
6.6%
영 161
 
5.0%
진 131
 
4.1%
이 114
 
3.5%
상 110
 
3.4%
김 109
 
3.4%
미 100
 
3.1%
혜 97
 
3.0%
유 91
 
2.8%
지 90
 
2.8%
Other values (104) 2015
62.3%
Latin
ValueCountFrequency (%)
n 15
 
11.5%
a 11
 
8.4%
e 10
 
7.6%
g 8
 
6.1%
u 8
 
6.1%
H 7
 
5.3%
m 6
 
4.6%
i 6
 
4.6%
h 5
 
3.8%
S 5
 
3.8%
Other values (26) 50
38.2%
Common
ValueCountFrequency (%)
, 785
66.4%
381
32.2%
? 7
 
0.6%
- 7
 
0.6%
( 1
 
0.1%
) 1
 
0.1%
* 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3232
71.1%
ASCII 1314
28.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 785
59.7%
381
29.0%
n 15
 
1.1%
a 11
 
0.8%
e 10
 
0.8%
g 8
 
0.6%
u 8
 
0.6%
? 7
 
0.5%
H 7
 
0.5%
- 7
 
0.5%
Other values (33) 75
 
5.7%
Hangul
ValueCountFrequency (%)
정 214
 
6.6%
영 161
 
5.0%
진 131
 
4.1%
이 114
 
3.5%
상 110
 
3.4%
김 109
 
3.4%
미 100
 
3.1%
혜 97
 
3.0%
유 91
 
2.8%
지 90
 
2.8%
Other values (104) 2015
62.3%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-06-20
309 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-20
2nd row2023-06-20
3rd row2023-06-20
4th row2023-06-20
5th row2023-06-20

Common Values

ValueCountFrequency (%)
2023-06-20 309
100.0%

Length

2023-12-12T12:55:25.611277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:55:26.193844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-20 309
100.0%

Interactions

2023-12-12T12:55:21.504662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T12:55:21.699206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:55:21.862324image/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

연도논문명등재매체저자데이터기준일
02021Aquariibacter albus gen. nov., sp. nov., a new member of the order Burkholderiales, isolated from a freshwater aquariumInternationalJournalofSystematicandEvolution천성준2023-06-20
12021New Records of Two Dorylaimoides Species (Nematoda: Dorylaimida: Mydonomidae) from KoreaAnimalSystematicsEvolutionandDiversity김지연,김태호,박중기2023-06-20
22021Three new species of subterranean amphipods (Pseudocrangonyctidae: Pseudocrangonyx) from limestone caves in South KoreaPeerJ이치우, 민기식2023-06-20
32021LPS로 유도된 RAW 264.7 대식세포의 염증반응에서 MAPK 신호경로 조절을 통한 지칭개 에탄올 추출물의 항염증 효과한국자원식물학회정진우,김철환,오영택,이영경,정용태,황병수,강창희,조표연2023-06-20
42021Melanogenesis inhibitory activities of Epicatechin-3-O-gallate isolated from Polygonum amphibium L.MicrobiologyandBiotechnologyLetters김철환,남현주,오영택,이영경,정용태,황병수,황용,이승영2023-06-20
52021Response of Pine Rhizosphere Microbiota to Foliar Treatment with Resistance-Inducing Bacteria against Pine Wilt DiseaseMicroorganisms박정욱2023-06-20
62021Companilactobacillus pabuli sp. nov., a lactic acid bacterium isolated from animal feedInternationalJournalofSystematicandEvolutionaryMicrobiology류병곤,서민정,김상철,정유진,강혜경,정지영,진현미,한상수2023-06-20
72021Complete Genome Sequence of Bisphenol A-Degrading Bacterium Sphingobium sp. Strain A3, Isolated from Contaminated SoilMicrobiologyResourceAnnouncements류병곤,정유진,강혜경,정지영,조복연,진현미,한상수2023-06-20
82021Tunicothrix halophila n. sp., a Secondarily Oligomerized Parabirojimid Hypotrich (Ciliophora, Spirotrichea) From Hypersaline Costal Water in KoreaFrontiersinMicrobiology문지혜,정재호,남승원2023-06-20
92021Enhanced Fatty Acid Productivity by Parachlorella sp., a Freshwater Microalga, via Adaptive Laboratory Evolution Under Salt StressBiotechnologyandbioprocessengineering홍성주,김지훈,남승원,이창수,임경준,정지영2023-06-20
연도논문명등재매체저자데이터기준일
2992022New record of an alien plant, Verbena bracteata (Verbenaceae) in KoreaKoreanJournalofplantTaxonomyJung-Hyun KIM, Sang Deog SHIM, Kyu Tae CHO, Hyun S2023-06-20
3002022Large-scale screening of the plant extracts for antifungal activity against the plant pathogenic fungiThePlantPathologyJournal오영택, 이송희 ,이도연,조은별,황병수,전준현2023-06-20
3012022Anti-Melanogenic Activities of Ranunculus chinensis Bunge via ERK1/2-Mediated MITF Downregulation한국자원식물학회김민진, 정용태, 황병수, 황용, 정대원, 오영택2023-06-20
3022022New Records of Two Arcuospathidium Subspecies (Ciliophora: Haptoria: Arcuospathidiidae) from KoreaAnimalSystematics,EvolutionandDiversity장석원, 남승원, Shahed Uddin Ahmed Shazib, 신만균2023-06-20
3032022Three new Plectolyngbya species (Leptolyngbyaceae, Cyanobacateria) isolated from rocks and saltern of the republic of KoreaDiversityDo-Hyun Kim, Nam-Ju Lee, Jee-Hwan Kim, Eun-Chan Ya2023-06-20
3042022Comparison of Bacterial Assemblages Associated with Harmful Cyanobacteria under Different Light ConditionsMicroorganisms양태희, 이창수, 조자영, 배미정, 김의진2023-06-20
3052022Seasonal Dynamics and Heavy Rain Effects on the Diversity of Microeukaryome in the Nakdonggang RiverWater배미정, 양태희, 조자영, 백기운, 최아영, 이창수, 김의진2023-06-20
3062022Phragmites australis (Cav.) Trin. ex Steud. Extract Induces Apoptosis-like Programmed Cell Death in Acanthamoeba castellanii TrophozoitesplantsH??ng-Giang L?, 최지수, 황병수, 정용태, 강정미, Tu?n-C??ng V?,2023-06-20
3072022The modulatory effects of Lacticaseibacillus paracasei strain NSMJ56 on gut immunity and microbiome in early-age broiler chickensAnimals주상석, 윤준혁, 정지영, 주성용, 안수현, 반병철, 공창수, 김명후2023-06-20
3082022Anti-cancer and anti-oxidant properties of methanolic extracts of Chlorella vulgaris and Parachlorella sp.KoreanSocietyforBiotechnologyandBioengineeringJournal장현진, 임경준, 이창수, 정지영, 남현주, 박예지, 김유호, 김지환, 전수환, 김지훈*2023-06-20

Duplicate rows

Most frequently occurring

연도논문명등재매체저자데이터기준일# duplicates
02019Trapa japonica inhibits Adipocyte Differentiation and Adipogenesis through AMPK Signaling Pathway in 3T3-L1 Pre-adipocytesInternationalJournalofFoodSciencesandNutritionResearch정진우2023-06-202