ERDDAP > tabledap > Subset

Dataset Title:	RU-WRF Virtual Met Tower Archive (1hr offset)
Institution:	Rutgers University   (Dataset ID: bpu_vmt_archive_1hr)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 468)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

station	= (ANY) 44009 44017 44022 44025 44065 44066 A1 A2 A3 A4 A5 A6 A7 A8 A9 B1 B2 B3 B4 B5 B6 B7 B8 B9 BRND1 C1 C2 C3 C4 C5 C6 C7 C8 C9 CMAN4 D1 D2 D3 D4 D5 D6 D7 D8 D9 DOEFL E1 E2 E3 E4 E5 E6 E7 E8 E9 F1 F2 F3 F4 F5 F6 F7 F8 F9 G1 G2 G3 G4 G5 G6 G7 G8 G9 H1 H2 H3 H4 H5 H6 H7 H8 H9 I1 I2 I3 I4 I5 I6 I7 I8 I9 J1 J2 J3 J4 J5 J6 J7 J8 J9 NYE05 NYE06 RUOYC RUTUC SDHN4 SJSN4 WD1 WD2 WD3 WH1 WH2 WH3 WN1 WN2 WN3 WS1 WS2 WS3	117 options
height	= (ANY) 10 100 120 140  m	4 options

View:      Map of All Related Data      Distinct Data Counts     Distinct Data  0 10 100 1000 10000 100000      Related Data Counts     Related Data  0 10 100 1000 10000 100000

 

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Map of All Related Data   (Refine the map and/or download the image)

To view the map, check View : Map of All Related Data above.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.
 

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Distinct Data Counts

To view the counts of distinct combinations of the variables listed above,
check View : Distinct Data Counts above and select a value for one of the variables above.
 

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Distinct Data   (Metadata)    (Refine the data subset and/or download the data)  

station	height
	m
44009	10
44009	100
44009	120
44009	140
44017	10
44017	100
44017	120
44017	140
44022	10
44022	100
44022	120
44022	140
44025	10
44025	100
44025	120
44025	140
44065	10
44065	100
44065	120
44065	140
44066	10
44066	100
44066	120
44066	140
A1	10
A1	100
A1	120
A1	140
A2	10
A2	100
A2	120
A2	140
A3	10
A3	100
A3	120
A3	140
A4	10
A4	100
A4	120
A4	140
A5	10
A5	100
A5	120
A5	140
A6	10
A6	100
A6	120
A6	140
A7	10
A7	100
A7	120
A7	140
A8	10
A8	100
A8	120
A8	140
A9	10
A9	100
A9	120
A9	140
B1	10
B1	100
B1	120
B1	140
B2	10
B2	100
B2	120
B2	140
B3	10
B3	100
B3	120
B3	140
B4	10
B4	100
B4	120
B4	140
B5	10
B5	100
B5	120
B5	140
B6	10
B6	100
B6	120
B6	140
B7	10
B7	100
B7	120
B7	140
B8	10
B8	100
B8	120
B8	140
B9	10
B9	100
B9	120
B9	140
BRND1	10
BRND1	100
BRND1	120
BRND1	140
C1	10
C1	100
C1	120
C1	140
C2	10
C2	100
C2	120
C2	140
C3	10
C3	100
C3	120
C3	140
C4	10
C4	100
C4	120
C4	140
C5	10
C5	100
C5	120
C5	140
C6	10
C6	100
C6	120
C6	140
C7	10
C7	100
C7	120
C7	140
C8	10
C8	100
C8	120
C8	140
C9	10
C9	100
C9	120
C9	140
CMAN4	10
CMAN4	100
CMAN4	120
CMAN4	140
D1	10
D1	100
D1	120
D1	140
D2	10
D2	100
D2	120
D2	140
D3	10
D3	100
D3	120
D3	140
D4	10
D4	100
D4	120
D4	140
D5	10
D5	100
D5	120
D5	140
D6	10
D6	100
D6	120
D6	140
D7	10
D7	100
D7	120
D7	140
D8	10
D8	100
D8	120
D8	140
D9	10
D9	100
D9	120
D9	140
DOEFL	10
DOEFL	100
DOEFL	120
DOEFL	140
E1	10
E1	100
E1	120
E1	140
E2	10
E2	100
E2	120
E2	140
E3	10
E3	100
E3	120
E3	140
E4	10
E4	100
E4	120
E4	140
E5	10
E5	100
E5	120
E5	140
E6	10
E6	100
E6	120
E6	140
E7	10
E7	100
E7	120
E7	140
E8	10
E8	100
E8	120
E8	140
E9	10
E9	100
E9	120
E9	140
F1	10
F1	100
F1	120
F1	140
F2	10
F2	100
F2	120
F2	140
F3	10
F3	100
F3	120
F3	140
F4	10
F4	100
F4	120
F4	140
F5	10
F5	100
F5	120
F5	140
F6	10
F6	100
F6	120
F6	140
F7	10
F7	100
F7	120
F7	140
F8	10
F8	100
F8	120
F8	140
F9	10
F9	100
F9	120
F9	140
G1	10
G1	100
G1	120
G1	140
G2	10
G2	100
G2	120
G2	140
G3	10
G3	100
G3	120
G3	140
G4	10
G4	100
G4	120
G4	140
G5	10
G5	100
G5	120
G5	140
G6	10
G6	100
G6	120
G6	140
G7	10
G7	100
G7	120
G7	140
G8	10
G8	100
G8	120
G8	140
G9	10
G9	100
G9	120
G9	140
H1	10
H1	100
H1	120
H1	140
H2	10
H2	100
H2	120
H2	140
H3	10
H3	100
H3	120
H3	140
H4	10
H4	100
H4	120
H4	140
H5	10
H5	100
H5	120
H5	140
H6	10
H6	100
H6	120
H6	140
H7	10
H7	100
H7	120
H7	140
H8	10
H8	100
H8	120
H8	140
H9	10
H9	100
H9	120
H9	140
I1	10
I1	100
I1	120
I1	140
I2	10
I2	100
I2	120
I2	140
I3	10
I3	100
I3	120
I3	140
I4	10
I4	100
I4	120
I4	140
I5	10
I5	100
I5	120
I5	140
I6	10
I6	100
I6	120
I6	140
I7	10
I7	100
I7	120
I7	140
I8	10
I8	100
I8	120
I8	140
I9	10
I9	100
I9	120
I9	140
J1	10
J1	100
J1	120
J1	140
J2	10
J2	100
J2	120
J2	140
J3	10
J3	100
J3	120
J3	140
J4	10
J4	100
J4	120
J4	140
J5	10
J5	100
J5	120
J5	140
J6	10
J6	100
J6	120
J6	140
J7	10
J7	100
J7	120
J7	140
J8	10
J8	100
J8	120
J8	140
J9	10
J9	100
J9	120
J9	140
NYE05	10
NYE05	100
NYE05	120
NYE05	140
NYE06	10
NYE06	100
NYE06	120
NYE06	140
RUOYC	10
RUOYC	100
RUOYC	120
RUOYC	140
RUTUC	10
RUTUC	100
RUTUC	120
RUTUC	140
SDHN4	10
SDHN4	100
SDHN4	120
SDHN4	140
SJSN4	10
SJSN4	100
SJSN4	120
SJSN4	140
WD1	10
WD1	100
WD1	120
WD1	140
WD2	10
WD2	100
WD2	120
WD2	140
WD3	10
WD3	100
WD3	120
WD3	140
WH1	10
WH1	100
WH1	120
WH1	140
WH2	10
WH2	100
WH2	120
WH2	140
WH3	10
WH3	100
WH3	120
WH3	140
WN1	10
WN1	100
WN1	120
WN1	140
WN2	10
WN2	100
WN2	120
WN2	140
WN3	10
WN3	100
WN3	120
WN3	140
WS1	10
WS1	100
WS1	120
WS1	140
WS2	10
WS2	100
WS2	120
WS2	140
WS3	10
WS3	100
WS3	120
WS3	140

In total, there are 468 rows of distinct combinations of the variables listed above. All of the rows are shown above.
To change the maximum number of rows displayed, change View : Distinct Data above.
 

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Related Data Counts

To view the related data counts,
check View : Related Data Counts above and select a value for one of the variables above.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.
 

---

Related Data   (Metadata)    (Refine the data subset and/or download the data)

To view the related data, change View : Related Data above.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.

 

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