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ERDDAP > tabledap > Subset ?

Dataset Title:  Glider - gp_363-20160630T0230 Subscribe RSS
Institution:  Ocean Observatories Initiative   (Dataset ID: gp_363_20160630t0230)
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: 28)
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: gp_363-20160630T023000Z
    wmo_id ?  =  1 option: 4801994
    time ?  =  28 options
    latitude ?  =  degrees_north   28 options
    longitude ?  =  degrees_east   28 options
    profile_id ?  =  28 options
    time_uv ?  =  1 option: NaN
    lat_uv ?  =  degrees_north   1 option:
    lon_uv ?  =  degrees_east   1 option:
    u ?  =  m s-1   1 option:
    v ?  =  m s-1   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)  

trajectory wmo_id time latitude longitude profile_id time_uv lat_uv lon_uv u v
UTC degrees_north degrees_east UTC degrees_north degrees_east m s-1 m s-1
gp_363-20160630T023000Z 4801994 2016-06-30T02:37:32Z 50.16742955478937 -144.49935235539223 1
gp_363-20160630T023000Z 4801994 2016-06-30T03:05:48Z 50.16770960995229 -144.49738940159807 2
gp_363-20160630T023000Z 4801994 2016-06-30T03:41:44Z 50.16661830477615 -144.49783568142033 3
gp_363-20160630T023000Z 4801994 2016-06-30T04:31:44Z 50.16363049646808 -144.50460793496003 4
gp_363-20160630T023000Z 4801994 2016-06-30T06:05:31Z 50.156211596835554 -144.5216603474233 5
gp_363-20160630T023000Z 4801994 2016-06-30T08:49:09Z 50.14375451284151 -144.55808016611132 6
gp_363-20160630T023000Z 4801994 2016-06-30T13:07:11Z 50.132649542593484 -144.60200275459567 7
gp_363-20160630T023000Z 4801994 2016-06-30T17:45:24Z 50.12749809744268 -144.61082261941223 8
gp_363-20160630T023000Z 4801994 2016-06-30T23:01:11Z 50.13092221778603 -144.55390024984752 9
gp_363-20160630T023000Z 4801994 2016-07-01T04:23:24Z 50.134214143498525 -144.50376135455778 10
gp_363-20160630T023000Z 4801994 2016-07-01T09:40:28Z 50.13484668017094 -144.44807612752209 11
gp_363-20160630T023000Z 4801994 2016-07-01T15:04:36Z 50.11351440706085 -144.41621088445743 12
gp_363-20160630T023000Z 4801994 2016-07-01T20:35:25Z 50.09585682910367 -144.4189039126939 13
gp_363-20160630T023000Z 4801994 2016-07-02T01:57:23Z 50.11182512399696 -144.42769043583718 14
gp_363-20160630T023000Z 4801994 2016-07-02T07:19:44Z 50.12611787545968 -144.42186960185828 15
gp_363-20160630T023000Z 4801994 2016-07-02T12:38:58Z 50.10272147616616 -144.41683151380903 16
gp_363-20160630T023000Z 4801994 2016-07-02T18:06:01Z 50.11352516530454 -144.423141306795 17
gp_363-20160630T023000Z 4801994 2016-07-02T23:38:33Z 50.1216259029708 -144.42046878073046 18
gp_363-20160630T023000Z 4801994 2016-07-03T05:02:07Z 50.1016270006161 -144.41690310691746 19
gp_363-20160630T023000Z 4801994 2016-07-03T10:25:01Z 50.09651968297593 -144.41975478080565 20
gp_363-20160630T023000Z 4801994 2016-07-03T15:56:21Z 50.11219354784774 -144.42833036271503 21
gp_363-20160630T023000Z 4801994 2016-07-03T21:20:48Z 50.134020739598355 -144.41919765585155 22
gp_363-20160630T023000Z 4801994 2016-07-04T02:49:54Z 50.102988914377576 -144.40848028360057 23
gp_363-20160630T023000Z 4801994 2016-07-04T08:20:15Z 50.09508311704829 -144.427074277536 24
gp_363-20160630T023000Z 4801994 2016-07-04T13:53:18Z 50.11832498308175 -144.42483196144727 25
gp_363-20160630T023000Z 4801994 2016-07-04T19:27:56Z 50.13550897178504 -144.41131499941733 26
gp_363-20160630T023000Z 4801994 2016-07-04T20:20:58Z 50.13029736757338 -144.40930981899447 27
gp_363-20160630T023000Z 4801994 2016-07-04T21:13:38Z 50.12838124710379 -144.4114454563638 28

In total, there are 28 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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