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ERDDAP > tabledap > Subset ?

Dataset Title:  Glider - cp_340-20160121T1708-delayed Subscribe RSS
Institution:  OOI Coastal & Global Scale Nodes (CGSN)   (Dataset ID: cp_340_20160121t1708_delayed)
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: 19)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    trajectory ?  =  1 option: cp_340-20160121T1708
    wmo_id ?  =  1 option: 4801968
    profile_id ?  =  1 option:
    time ?  =  19 options
    latitude ?  =  degrees_north   19 options
    longitude ?  =  degrees_east   19 options
    lat_uv ?  =  degrees_north   7 options
    lon_uv ?  =  degrees_east   7 options
    time_uv ?  =  7 options
    u ?  =  m s-1   6 options
    v ?  =  m s-1   6 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)  

trajectory wmo_id profile_id time latitude longitude lat_uv lon_uv time_uv u v
UTC degrees_north degrees_east degrees_north degrees_east UTC m s-1 m s-1
cp_340-20160121T1708 4801968 2016-01-21T17:11:38Z 40.05721484809333 -70.68729025801993 40.05708392282635 -70.68756332606101 2016-01-21T17:12:22Z 0.0796017 -0.116849
cp_340-20160121T1708 4801968 2016-01-21T18:08:42Z 40.04743910269932 -70.6953252888919 40.0465506710806 -70.69806303275078 2016-01-21T18:17:59Z -0.232423 0.0135182
cp_340-20160121T1708 4801968 2016-01-21T18:14:23Z 40.04689352946518 -70.69698914021238 40.0465506710806 -70.69806303275078 2016-01-21T18:17:59Z -0.232423 0.0135182
cp_340-20160121T1708 4801968 2016-01-21T18:19:15Z 40.0464309316276 -70.69843807769915 40.0465506710806 -70.69806303275078 2016-01-21T18:17:59Z -0.232423 0.0135182
cp_340-20160121T1708 4801968 2016-01-21T18:24:51Z 40.04590368073129 -70.70008951989475 40.0465506710806 -70.69806303275078 2016-01-21T18:17:59Z -0.232423 0.0135182
cp_340-20160121T1708 4801968 2016-01-21T18:48:30Z 40.04393289082926 -70.70381215125128 40.04416755435081 -70.70317906243022 2016-01-21T18:56:24Z -0.130817 0.0414436
cp_340-20160121T1708 4801968 2016-01-21T19:00:34Z 40.04429146301937 -70.70283396837817 40.04416755435081 -70.70317906243022 2016-01-21T18:56:24Z -0.130817 0.0414436
cp_340-20160121T1708 4801968 2016-01-21T19:36:54Z 40.04263673229605 -70.70596444640971 40.04291337504363 -70.70482842542701 2016-01-21T19:46:44Z -0.0878345 0.0714788
cp_340-20160121T1708 4801968 2016-01-21T19:53:01Z 40.043092347416646 -70.70409508295535 40.04291337504363 -70.70482842542701 2016-01-21T19:46:44Z -0.0878345 0.0714788
cp_340-20160121T1708 4801968 2016-01-21T20:35:30Z 40.04260223751002 -70.70649006809623 40.043595747996164 -70.70233292603567 2016-01-21T21:05:27Z -0.0278382 0.0802545
cp_340-20160121T1708 4801968 2016-01-21T20:51:56Z 40.04314961405908 -70.7042175772641 40.043595747996164 -70.70233292603567 2016-01-21T21:05:27Z -0.0278382 0.0802545
cp_340-20160121T1708 4801968 2016-01-21T21:08:02Z 40.04368078303612 -70.70197370343635 40.043595747996164 -70.70233292603567 2016-01-21T21:05:27Z -0.0278382 0.0802545
cp_340-20160121T1708 4801968 2016-01-21T21:28:36Z 40.044360574415975 -70.69910198812254 40.043595747996164 -70.70233292603567 2016-01-21T21:05:27Z -0.0278382 0.0802545
cp_340-20160121T1708 4801968 2016-01-21T22:03:32Z 40.04514200432222 -70.69727061619695 40.046191237300405 -70.69300150737766 2016-01-21T22:30:57Z -0.00241822 0.0974597
cp_340-20160121T1708 4801968 2016-01-21T22:23:13Z 40.04589662164188 -70.69419939119324 40.046191237300405 -70.69300150737766 2016-01-21T22:30:57Z -0.00241822 0.0974597
cp_340-20160121T1708 4801968 2016-01-21T22:40:46Z 40.046567707483064 -70.69147080958274 40.046191237300405 -70.69300150737766 2016-01-21T22:30:57Z -0.00241822 0.0974597
cp_340-20160121T1708 4801968 2016-01-21T22:55:54Z 40.04714935909721 -70.68910586042027 40.046191237300405 -70.69300150737766 2016-01-21T22:30:57Z -0.00241822 0.0974597
cp_340-20160121T1708 4801968 2016-01-21T23:26:06Z 40.048054821187186 -70.68733771600435 40.048056666666675 -70.68733833333333 2016-01-21T23:33:33Z -0.00241822 0.0974597
cp_340-20160121T1708 4801968 2016-01-21T23:37:07Z 40.048056666666675 -70.68733833333332 40.048056666666675 -70.68733833333333 2016-01-21T23:33:33Z -0.00241822 0.0974597

In total, there are 19 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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