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ERDDAP > tabledap > Subset ?

Dataset Title:  CARICOOS Buoy PR2 (San Juan, PR): Historical Meteorological Data Subscribe RSS
Institution:  CARICOOS   (Dataset ID: met_d90f_3567_29d2)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 26)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    latitude ?  =  degrees_north   6 options
    longitude ?  =  degrees_east   9 options
    depth ?  =  m   2 options
    station ?  =  2 options
    deployment ?  =  14 options
    data_source ?  =  1   2 options
    instrument_1 ?  =  1 option:
    time_modified ?  =  26 options
    crs ?  =  1 option:

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)  

latitude longitude depth station deployment data_source instrument_1 time_modified crs
degrees_north degrees_east m 1 UTC
18.4742 -66.0997 1.0 PR2 PR209 20 2024-11-07T05:59:21Z
18.4743 -66.0996 1.0 PR2 PR210 20 2024-11-07T06:05:02Z
18.4743 -66.0995 1.0 PR2 PR208 30 2024-11-07T05:55:14Z
18.4743 -66.0994 1.0 PR2 PR211 20 2024-11-07T06:08:33Z
18.4743 -66.0994 1.0 PR2 PR212 20 2024-11-07T06:14:58Z
18.4743 -66.0992 1.0 PR2 PR201 20 2024-11-07T05:31:59Z
18.4744 -66.0993 1.0 PR2 PR204 20 2024-11-07T05:41:29Z
18.4744 -66.0992 1.0 PR2 PR202 20 2024-11-07T05:33:29Z
18.4744 -66.099 1.0 PR2 PR205 20 2024-11-07T05:44:53Z
18.4744 -66.099 1.0 PR2 PR206 20 2024-11-07T05:48:15Z
18.4745 -66.0991 1.0 PR2 PR203 20 2024-11-07T05:38:15Z
18.4745 -66.0991 1.0 PR2 PR207 20 2024-11-07T05:51:49Z
18.4758 -66.0995 1.0 PR2 PR213 20 2024-11-10T20:24:15Z
9.969209968386869E36 9.969209968386869E36 9.969209968386869E36 20 2025-03-10T02:42:31Z
9.969209968386869E36 9.969209968386869E36 9.969209968386869E36 20 2025-03-10T02:43:58Z
9.969209968386869E36 9.969209968386869E36 9.969209968386869E36 20 2025-03-10T02:48:44Z
9.969209968386869E36 9.969209968386869E36 9.969209968386869E36 20 2025-03-10T02:51:30Z
9.969209968386869E36 9.969209968386869E36 9.969209968386869E36 20 2025-03-10T02:54:19Z
9.969209968386869E36 9.969209968386869E36 9.969209968386869E36 20 2025-03-10T02:56:55Z
9.969209968386869E36 9.969209968386869E36 9.969209968386869E36 20 2025-03-10T02:59:46Z
9.969209968386869E36 9.969209968386869E36 9.969209968386869E36 20 2025-03-10T03:05:53Z
9.969209968386869E36 9.969209968386869E36 9.969209968386869E36 20 2025-03-10T03:09:48Z
9.969209968386869E36 9.969209968386869E36 9.969209968386869E36 20 2025-03-10T03:13:08Z
9.969209968386869E36 9.969209968386869E36 9.969209968386869E36 20 2025-03-10T03:21:21Z
9.969209968386869E36 9.969209968386869E36 9.969209968386869E36 20 2025-04-20T04:16:22Z
9.969209968386869E36 9.969209968386869E36 9.969209968386869E36 30 2025-03-10T03:02:33Z

In total, there are 26 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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