Overview

Dataset statistics

Number of variables14
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory129.0 B

Variable types

Numeric5
Categorical9

Dataset

DescriptionSample
Author네이버시스템㈜
URLhttps://www.bigdata-coast.kr/gdsInfo/gdsInfoDetail.do?gdsCd=CT05NBS016

Alerts

WTCH_YMD has constant value ""Constant
SRC_DATA_INST_NM has constant value ""Constant
SRC_DATA_NM has constant value ""Constant
SRC_DATA_INTV has constant value ""Constant
YY30_AVG_SST_SRC_DATA_INST_NM has constant value ""Constant
YY30_AVG_SST_SRC_DATA_NM has constant value ""Constant
YY30_AVG_SYMD has constant value ""Constant
YY30_AVG_EYMD has constant value ""Constant
WTCH_RELM_NM has constant value ""Constant
YY30_AVG_SST is highly overall correlated with LAHigh correlation
YY30_AVG_SST_ANOMALY is highly overall correlated with SST_GRD_CDHigh correlation
SST_GRD_CD is highly overall correlated with YY30_AVG_SST_ANOMALYHigh correlation
LA is highly overall correlated with YY30_AVG_SSTHigh correlation
SST_GRD_CD has 4846 (48.5%) zerosZeros

Reproduction

Analysis started2024-01-14 06:57:38.546604
Analysis finished2024-01-14 06:57:42.617750
Duration4.07 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

YY30_AVG_SST
Real number (ℝ)

HIGH CORRELATION 

Distinct7908
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.755814
Minimum-1.52
Maximum27.044
Zeros0
Zeros (%)0.0%
Negative48
Negative (%)0.5%
Memory size166.0 KiB
2024-01-14T15:57:42.711874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.52
5-th percentile1.8437
Q110.12225
median20.104
Q323.34125
95-th percentile25.9181
Maximum27.044
Range28.564
Interquartile range (IQR)13.219

Descriptive statistics

Standard deviation7.9960256
Coefficient of variation (CV)0.47720904
Kurtosis-0.91295128
Mean16.755814
Median Absolute Deviation (MAD)4.631
Skewness-0.67451037
Sum167558.14
Variance63.936426
MonotonicityNot monotonic
2024-01-14T15:57:42.857610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.411 6
 
0.1%
20.414 6
 
0.1%
20.764 5
 
0.1%
22.427 5
 
0.1%
24.274 5
 
0.1%
22.232 5
 
0.1%
21.15 5
 
0.1%
22.345 5
 
0.1%
20.973 5
 
0.1%
20.742 5
 
0.1%
Other values (7898) 9948
99.5%
ValueCountFrequency (%)
-1.52 1
< 0.1%
-1.087 1
< 0.1%
-0.947 1
< 0.1%
-0.756 2
< 0.1%
-0.722 1
< 0.1%
-0.425 1
< 0.1%
-0.302 1
< 0.1%
-0.281 1
< 0.1%
-0.254 1
< 0.1%
-0.205 1
< 0.1%
ValueCountFrequency (%)
27.044 1
< 0.1%
27.04 1
< 0.1%
27.035 1
< 0.1%
27.011 1
< 0.1%
27.006 1
< 0.1%
26.984 1
< 0.1%
26.967 1
< 0.1%
26.959 1
< 0.1%
26.956 1
< 0.1%
26.955 1
< 0.1%

YY30_AVG_SST_ANOMALY
Real number (ℝ)

HIGH CORRELATION 

Distinct735
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.104511
Minimum-4.59
Maximum7.83
Zeros31
Zeros (%)0.3%
Negative4828
Negative (%)48.3%
Memory size166.0 KiB
2024-01-14T15:57:43.033156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.59
5-th percentile-1.41
Q1-0.54
median0.03
Q30.64
95-th percentile1.8
Maximum7.83
Range12.42
Interquartile range (IQR)1.18

Descriptive statistics

Standard deviation1.1065511
Coefficient of variation (CV)10.587891
Kurtosis5.8827049
Mean0.104511
Median Absolute Deviation (MAD)0.59
Skewness1.1814292
Sum1045.11
Variance1.2244553
MonotonicityNot monotonic
2024-01-14T15:57:43.187314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.12 63
 
0.6%
-0.23 61
 
0.6%
-0.12 57
 
0.6%
0.17 57
 
0.6%
-0.07 56
 
0.6%
0.22 54
 
0.5%
-0.39 53
 
0.5%
0.03 53
 
0.5%
0.18 53
 
0.5%
-0.45 53
 
0.5%
Other values (725) 9440
94.4%
ValueCountFrequency (%)
-4.59 1
< 0.1%
-4.2 1
< 0.1%
-4.09 1
< 0.1%
-4.02 1
< 0.1%
-4.01 1
< 0.1%
-3.99 1
< 0.1%
-3.98 1
< 0.1%
-3.82 1
< 0.1%
-3.77 1
< 0.1%
-3.76 1
< 0.1%
ValueCountFrequency (%)
7.83 1
< 0.1%
7.71 1
< 0.1%
7.64 1
< 0.1%
7.47 1
< 0.1%
7.43 1
< 0.1%
7.25 1
< 0.1%
7.2 1
< 0.1%
7.18 1
< 0.1%
7.16 1
< 0.1%
7.15 1
< 0.1%

SST_GRD_CD
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6562
Minimum0
Maximum5
Zeros4846
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-14T15:57:43.297266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.75806268
Coefficient of variation (CV)1.1552311
Kurtosis3.4543818
Mean0.6562
Median Absolute Deviation (MAD)1
Skewness1.3466932
Sum6562
Variance0.57465903
MonotonicityNot monotonic
2024-01-14T15:57:43.401923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 4846
48.5%
1 3958
39.6%
2 1076
 
10.8%
3 61
 
0.6%
5 33
 
0.3%
4 26
 
0.3%
ValueCountFrequency (%)
0 4846
48.5%
1 3958
39.6%
2 1076
 
10.8%
3 61
 
0.6%
4 26
 
0.3%
5 33
 
0.3%
ValueCountFrequency (%)
5 33
 
0.3%
4 26
 
0.3%
3 61
 
0.6%
2 1076
 
10.8%
1 3958
39.6%
0 4846
48.5%

LA
Real number (ℝ)

HIGH CORRELATION 

Distinct132
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.255775
Minimum20.125
Maximum52.875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-14T15:57:43.531052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.125
5-th percentile20.875
Q125.125
median31.375
Q338.625
95-th percentile47.125
Maximum52.875
Range32.75
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation8.2922859
Coefficient of variation (CV)0.25707911
Kurtosis-0.76795746
Mean32.255775
Median Absolute Deviation (MAD)6.75
Skewness0.41124421
Sum322557.75
Variance68.762005
MonotonicityNot monotonic
2024-01-14T15:57:43.664300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.125 147
 
1.5%
20.875 141
 
1.4%
20.625 140
 
1.4%
20.375 138
 
1.4%
21.375 135
 
1.4%
21.125 135
 
1.4%
21.625 131
 
1.3%
21.875 128
 
1.3%
22.375 127
 
1.3%
22.125 127
 
1.3%
Other values (122) 8651
86.5%
ValueCountFrequency (%)
20.125 147
1.5%
20.375 138
1.4%
20.625 140
1.4%
20.875 141
1.4%
21.125 135
1.4%
21.375 135
1.4%
21.625 131
1.3%
21.875 128
1.3%
22.125 127
1.3%
22.375 127
1.3%
ValueCountFrequency (%)
52.875 20
0.2%
52.625 20
0.2%
52.375 19
0.2%
52.125 20
0.2%
51.875 18
0.2%
51.625 21
0.2%
51.375 18
0.2%
51.125 14
0.1%
50.875 16
0.2%
50.625 16
0.2%

LO
Real number (ℝ)

Distinct160
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.0169
Minimum110.125
Maximum149.875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-14T15:57:43.805211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110.125
5-th percentile120.125
Q1128.625
median137.125
Q3144.375
95-th percentile148.875
Maximum149.875
Range39.75
Interquartile range (IQR)15.75

Descriptive statistics

Standard deviation9.4764402
Coefficient of variation (CV)0.06967105
Kurtosis-0.8798413
Mean136.0169
Median Absolute Deviation (MAD)7.75
Skewness-0.38076688
Sum1360169
Variance89.80292
MonotonicityNot monotonic
2024-01-14T15:57:43.959699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
148.125 120
 
1.2%
149.875 120
 
1.2%
146.375 119
 
1.2%
149.125 118
 
1.2%
149.625 118
 
1.2%
147.375 118
 
1.2%
147.875 115
 
1.1%
147.625 115
 
1.1%
145.875 114
 
1.1%
145.625 114
 
1.1%
Other values (150) 8829
88.3%
ValueCountFrequency (%)
110.125 1
 
< 0.1%
110.375 2
 
< 0.1%
110.625 4
< 0.1%
110.875 6
0.1%
111.125 6
0.1%
111.375 6
0.1%
111.625 6
0.1%
111.875 4
< 0.1%
112.125 7
0.1%
112.375 7
0.1%
ValueCountFrequency (%)
149.875 120
1.2%
149.625 118
1.2%
149.375 114
1.1%
149.125 118
1.2%
148.875 109
1.1%
148.625 108
1.1%
148.375 109
1.1%
148.125 120
1.2%
147.875 115
1.1%
147.625 115
1.1%

WTCH_YMD
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
20220101
10000 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20220101
2nd row20220101
3rd row20220101
4th row20220101
5th row20220101

Common Values

ValueCountFrequency (%)
20220101 10000
100.0%

Length

2024-01-14T15:57:44.124258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:57:44.214853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20220101 10000
100.0%

SRC_DATA_INST_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Jet Propulsion Laboratory
10000 

Length

Max length25
Median length25
Mean length25
Min length25

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowJet Propulsion Laboratory
2nd rowJet Propulsion Laboratory
3rd rowJet Propulsion Laboratory
4th rowJet Propulsion Laboratory
5th rowJet Propulsion Laboratory

Common Values

ValueCountFrequency (%)
Jet Propulsion Laboratory 10000
100.0%

Length

2024-01-14T15:57:44.300821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:57:44.379697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
jet 10000
33.3%
propulsion 10000
33.3%
laboratory 10000
33.3%

SRC_DATA_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
MUR_SST
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMUR_SST
2nd rowMUR_SST
3rd rowMUR_SST
4th rowMUR_SST
5th rowMUR_SST

Common Values

ValueCountFrequency (%)
MUR_SST 10000
100.0%

Length

2024-01-14T15:57:44.467696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:57:44.609864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mur_sst 10000
100.0%

SRC_DATA_INTV
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0.25
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.25
2nd row0.25
3rd row0.25
4th row0.25
5th row0.25

Common Values

ValueCountFrequency (%)
0.25 10000
100.0%

Length

2024-01-14T15:57:45.040161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:57:45.132457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.25 10000
100.0%

YY30_AVG_SST_SRC_DATA_INST_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
National Centers for Environmental Information
10000 

Length

Max length46
Median length46
Mean length46
Min length46

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNational Centers for Environmental Information
2nd rowNational Centers for Environmental Information
3rd rowNational Centers for Environmental Information
4th rowNational Centers for Environmental Information
5th rowNational Centers for Environmental Information

Common Values

ValueCountFrequency (%)
National Centers for Environmental Information 10000
100.0%

Length

2024-01-14T15:57:45.266280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:57:45.376283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
national 10000
20.0%
centers 10000
20.0%
for 10000
20.0%
environmental 10000
20.0%
information 10000
20.0%

YY30_AVG_SST_SRC_DATA_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
AVHRR_OI_SST
10000 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAVHRR_OI_SST
2nd rowAVHRR_OI_SST
3rd rowAVHRR_OI_SST
4th rowAVHRR_OI_SST
5th rowAVHRR_OI_SST

Common Values

ValueCountFrequency (%)
AVHRR_OI_SST 10000
100.0%

Length

2024-01-14T15:57:45.496758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:57:45.609481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
avhrr_oi_sst 10000
100.0%

YY30_AVG_SYMD
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
19910101
10000 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row19910101
2nd row19910101
3rd row19910101
4th row19910101
5th row19910101

Common Values

ValueCountFrequency (%)
19910101 10000
100.0%

Length

2024-01-14T15:57:45.725380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:57:45.834005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19910101 10000
100.0%

YY30_AVG_EYMD
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
20201231
10000 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20201231
2nd row20201231
3rd row20201231
4th row20201231
5th row20201231

Common Values

ValueCountFrequency (%)
20201231 10000
100.0%

Length

2024-01-14T15:57:45.953596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:57:46.045432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20201231 10000
100.0%

WTCH_RELM_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
NWP
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNWP
2nd rowNWP
3rd rowNWP
4th rowNWP
5th rowNWP

Common Values

ValueCountFrequency (%)
NWP 10000
100.0%

Length

2024-01-14T15:57:46.144125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:57:46.233736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
nwp 10000
100.0%

Interactions

2024-01-14T15:57:41.688748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:39.288166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:40.124919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:40.652442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:41.181191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:41.781912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:39.693490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:40.241860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:40.741013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:41.270406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:41.888307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:39.826463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:40.356070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:40.833244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:41.363506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:41.983760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:39.912574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:40.459165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:40.944498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:41.481221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:42.084049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:40.000187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:40.557659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:41.063098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:57:41.584191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-14T15:57:46.300073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
YY30_AVG_SSTYY30_AVG_SST_ANOMALYSST_GRD_CDLALO
YY30_AVG_SST1.0000.4630.3150.9400.521
YY30_AVG_SST_ANOMALY0.4631.0000.8250.4710.357
SST_GRD_CD0.3150.8251.0000.3060.271
LA0.9400.4710.3061.0000.538
LO0.5210.3570.2710.5381.000
2024-01-14T15:57:46.426987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
YY30_AVG_SSTYY30_AVG_SST_ANOMALYSST_GRD_CDLALO
YY30_AVG_SST1.000-0.0010.026-0.950-0.116
YY30_AVG_SST_ANOMALY-0.0011.0000.899-0.021-0.133
SST_GRD_CD0.0260.8991.000-0.050-0.143
LA-0.950-0.021-0.0501.0000.323
LO-0.116-0.133-0.1430.3231.000

Missing values

2024-01-14T15:57:42.239924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-14T15:57:42.491384image/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

YY30_AVG_SSTYY30_AVG_SST_ANOMALYSST_GRD_CDLALOWTCH_YMDSRC_DATA_INST_NMSRC_DATA_NMSRC_DATA_INTVYY30_AVG_SST_SRC_DATA_INST_NMYY30_AVG_SST_SRC_DATA_NMYY30_AVG_SYMDYY30_AVG_EYMDWTCH_RELM_NM
222824.07-0.74023.875125.37520220101Jet Propulsion LaboratoryMUR_SST0.25National Centers for Environmental InformationAVHRR_OI_SST1991010120201231NWP
279124.3670.09124.875143.37520220101Jet Propulsion LaboratoryMUR_SST0.25National Centers for Environmental InformationAVHRR_OI_SST1991010120201231NWP
103292.113-0.49043.875136.12520220101Jet Propulsion LaboratoryMUR_SST0.25National Centers for Environmental InformationAVHRR_OI_SST1991010120201231NWP
493821.6330.11129.375149.62520220101Jet Propulsion LaboratoryMUR_SST0.25National Centers for Environmental InformationAVHRR_OI_SST1991010120201231NWP
102925.4491.43143.625137.87520220101Jet Propulsion LaboratoryMUR_SST0.25National Centers for Environmental InformationAVHRR_OI_SST1991010120201231NWP
906612.720.46139.375148.12520220101Jet Propulsion LaboratoryMUR_SST0.25National Centers for Environmental InformationAVHRR_OI_SST1991010120201231NWP
624020.4480.35132.375138.37520220101Jet Propulsion LaboratoryMUR_SST0.25National Centers for Environmental InformationAVHRR_OI_SST1991010120201231NWP
64008.237-1.2032.875121.37520220101Jet Propulsion LaboratoryMUR_SST0.25National Centers for Environmental InformationAVHRR_OI_SST1991010120201231NWP
362322.68-1.16026.625138.62520220101Jet Propulsion LaboratoryMUR_SST0.25National Centers for Environmental InformationAVHRR_OI_SST1991010120201231NWP
187324.406-0.09023.125131.62520220101Jet Propulsion LaboratoryMUR_SST0.25National Centers for Environmental InformationAVHRR_OI_SST1991010120201231NWP
YY30_AVG_SSTYY30_AVG_SST_ANOMALYSST_GRD_CDLALOWTCH_YMDSRC_DATA_INST_NMSRC_DATA_NMSRC_DATA_INTVYY30_AVG_SST_SRC_DATA_INST_NMYY30_AVG_SST_SRC_DATA_NMYY30_AVG_SYMDYY30_AVG_EYMDWTCH_RELM_NM
739518.897-0.39035.125145.87520220101Jet Propulsion LaboratoryMUR_SST0.25National Centers for Environmental InformationAVHRR_OI_SST1991010120201231NWP
88665.267-0.68039.125120.37520220101Jet Propulsion LaboratoryMUR_SST0.25National Centers for Environmental InformationAVHRR_OI_SST1991010120201231NWP
103762.449-0.36044.125136.62520220101Jet Propulsion LaboratoryMUR_SST0.25National Centers for Environmental InformationAVHRR_OI_SST1991010120201231NWP
404923.1291.1227.625126.62520220101Jet Propulsion LaboratoryMUR_SST0.25National Centers for Environmental InformationAVHRR_OI_SST1991010120201231NWP
681819.939-1.12033.625148.62520220101Jet Propulsion LaboratoryMUR_SST0.25National Centers for Environmental InformationAVHRR_OI_SST1991010120201231NWP
109126.4760.25121.625147.12520220101Jet Propulsion LaboratoryMUR_SST0.25National Centers for Environmental InformationAVHRR_OI_SST1991010120201231NWP
219225.7290.53123.625147.62520220101Jet Propulsion LaboratoryMUR_SST0.25National Centers for Environmental InformationAVHRR_OI_SST1991010120201231NWP
276223.533-0.16024.875136.12520220101Jet Propulsion LaboratoryMUR_SST0.25National Centers for Environmental InformationAVHRR_OI_SST1991010120201231NWP
503021.315-0.63029.625144.37520220101Jet Propulsion LaboratoryMUR_SST0.25National Centers for Environmental InformationAVHRR_OI_SST1991010120201231NWP
160324.5210.4122.625129.62520220101Jet Propulsion LaboratoryMUR_SST0.25National Centers for Environmental InformationAVHRR_OI_SST1991010120201231NWP