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ERDDAP > tabledap > Subset ?

Dataset Title:  TAO/TRITON, RAMA, and PIRATA Buoys, Quarterly, 1998-present, Barometric (Air)
Pressure
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Institution:  NOAA PMEL, TAO/TRITON, RAMA, PIRATA   (Dataset ID: pmelTaoQrtBp)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 54)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    array ?  =  3 options
    station ?  =  54 options
    wmo_platform_code ?  =  52 options
    longitude ?  =  degrees_east   21 options
    latitude ?  =  degrees_north   21 options
    depth ?  =  m   3 options

View:      Map of Distinct Data ?      Distinct Data Counts ?     Distinct Data ?      Related Data Counts ?     Related Data ?

 
Map of Distinct Data ?   (Refine the map and/or download the image)
Optional: Click on the map to select the closest data.
Map of Distinct Data
 

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.

 


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

array station wmo_platform_code longitude latitude depth
degrees_east degrees_north m
PIRATA 0n23w 31007 337.0 0.0 -3.0
PIRATA 10s10w 15001 350.0 -10.0 -3.0
PIRATA 12n23w 13001 337.0 12.0 -3.0
PIRATA 15n38w 13008 322.0 15.0 -3.0
PIRATA 19s34w 31005 326.0 -19.0 -3.0
PIRATA 20n38w 41139 322.0 20.0 -3.0
PIRATA 20s10w 350.0 -20.0 -3.0
PIRATA 6s8e 15007 8.0 -6.0 -3.0
RAMA 0n80.5e 23001 80.5 0.0 -3.0
RAMA 0n90e 23004 90.0 0.0 -3.0
RAMA 1.5s90e 53057 90.0 -1.5 -2.0
RAMA 12s55e 14042 55.0 -12.0 -3.0
RAMA 12s67e 14043 67.0 -12.0 -3.0
RAMA 12s80.5e 53006 80.5 -12.0 -3.0
RAMA 15n65e 65.0 15.0 -3.0
RAMA 15n90e 23009 90.0 15.0 -3.0
RAMA 16s55e 14046 55.0 -16.0 -3.0
RAMA 25s100e 56055 100.0 -25.0 -3.0
RAMA 4s80.5e 23010 80.5 -4.0 -3.0
RAMA 5s95e 53056 95.0 -5.0 -2.0
RAMA 8s100e 100.0 -8.0 -3.0
RAMA 8s55e 14041 55.0 -8.0 -3.0
RAMA 8s67e 14040 67.0 -8.0 -3.0
RAMA 8s80.5e 53005 80.5 -8.0 -3.0
RAMA 8s95e 53040 95.0 -8.0 -2.25
TAO/TRITON 0n110w 32323 250.0 0.0 -3.0
TAO/TRITON 0n140w 51311 220.0 0.0 -3.0
TAO/TRITON 0n147e 52318 147.0 0.0 -2.0
TAO/TRITON 0n156e 52317 156.0 0.0 -2.0
TAO/TRITON 0n165e 52321 165.0 0.0 -3.0
TAO/TRITON 0n170w 51010 190.0 0.0 -3.0
TAO/TRITON 0n95w 32321 265.0 0.0 -3.0
TAO/TRITON 10n95w 43008 265.0 10.0 -3.0
TAO/TRITON 12n95w 43011 265.0 12.0 -3.0
TAO/TRITON 2n110w 32316 250.0 2.0 -3.0
TAO/TRITON 2n137e 52307 137.0 2.0 -2.0
TAO/TRITON 2n147e 52301 147.0 2.0 -2.0
TAO/TRITON 2n156e 52011 156.0 2.0 -2.0
TAO/TRITON 2n95w 32320 265.0 2.0 -3.0
TAO/TRITON 2s110w 32317 250.0 -2.0 -3.0
TAO/TRITON 2s156e 52012 156.0 -2.0 -2.0
TAO/TRITON 2s95w 32322 265.0 -2.0 -3.0
TAO/TRITON 3.5n95w 32011 265.0 3.5 -3.0
TAO/TRITON 5n137e 52314 137.0 5.0 -2.0
TAO/TRITON 5n147e 52302 147.0 5.0 -2.0
TAO/TRITON 5n156e 52084 156.0 5.0 -2.0
TAO/TRITON 5n95w 32303 265.0 5.0 -3.0
TAO/TRITON 5s156e 52086 156.0 -5.0 -2.0
TAO/TRITON 5s95w 32304 265.0 -5.0 -3.0
TAO/TRITON 8n130e 52075 130.0 8.0 -2.0
TAO/TRITON 8n137e 52087 137.0 8.0 -2.0
TAO/TRITON 8n156e 52319 156.0 8.0 -2.0
TAO/TRITON 8n95w 43301 265.0 8.0 -3.0
TAO/TRITON 8s95w 32305 265.0 -8.0 -3.0

In total, there are 54 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.
 


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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