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ERDDAP > tabledap > Subset ?

Dataset Title:  Glider - gp_363-20160630T0230-delayed Subscribe RSS
Institution:  OOI Coastal & Global Scale Nodes (CGSN)   (Dataset ID: gp_363_20160630t0230_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: 29)
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_363-20160630T0230
    wmo_id ?  =  1 option: 4801994
    profile_id ?  =  1 option:
    time ?  =  29 options
    latitude ?  =  degrees_north   29 options
    longitude ?  =  degrees_east   29 options
    lat_uv ?  =  degrees_north   29 options
    lon_uv ?  =  degrees_east   29 options
    time_uv ?  =  29 options
    u ?  =  m s-1   29 options
    v ?  =  m s-1   29 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
gp_363-20160630T0230 4801994 2016-06-30T02:37:14Z 50.16735357408639 -144.49945601016404 50.167397531907675 -144.49917631192338 2016-06-30T02:41:05Z 0.0528037 0.08329
gp_363-20160630T0230 4801994 2016-06-30T03:06:47Z 50.167712987174 -144.4972851049181 50.167312408993595 -144.49805828542856 2016-06-30T03:14:24Z 0.0406341 0.0388702
gp_363-20160630T0230 4801994 2016-06-30T03:46:40Z 50.166675992677604 -144.49786772830387 50.166020321243415 -144.49961456982086 2016-06-30T03:57:38Z -0.0302287 0.00901477
gp_363-20160630T0230 4801994 2016-06-30T04:49:21Z 50.16368036410163 -144.50450833294136 50.1621285533346 -144.50778709867285 2016-06-30T05:09:17Z -0.0130977 0.0308058
gp_363-20160630T0230 4801994 2016-06-30T06:42:25Z 50.15623144700995 -144.5216037795611 50.153363952943735 -144.5292589616978 2016-06-30T07:20:08Z -0.0413324 6.87771E-4
gp_363-20160630T0230 4801994 2016-06-30T09:50:56Z 50.14374257983155 -144.55810864947736 50.14013500816802 -144.5691037280966 2016-06-30T10:51:44Z -0.0216409 0.0117308
gp_363-20160630T0230 4801994 2016-06-30T14:14:52Z 50.13264565831091 -144.60202457910583 50.1303754836506 -144.61163504987493 2016-06-30T15:16:54Z -0.0223793 0.0491461
gp_363-20160630T0230 4801994 2016-06-30T18:54:26Z 50.12749168460813 -144.6109075042427 50.12952719337331 -144.59561146298333 2016-06-30T20:14:29Z -0.0185073 0.069483
gp_363-20160630T0230 4801994 2016-07-01T00:20:19Z 50.1309253691688 -144.55385607237955 50.13141289657347 -144.5410752364525 2016-07-01T01:32:54Z -0.0226544 0.0613129
gp_363-20160630T0230 4801994 2016-07-01T05:31:41Z 50.13420047617155 -144.50389816719724 50.135682315485035 -144.48899446097312 2016-07-01T06:53:17Z -0.0339709 0.073277
gp_363-20160630T0230 4801994 2016-07-01T10:57:26Z 50.1348799187302 -144.44816211361012 50.130886860025825 -144.43853237398 2016-07-01T12:11:27Z -0.0154528 0.0426343
gp_363-20160630T0230 4801994 2016-07-01T16:11:55Z 50.113587220499646 -144.41623012969754 50.10515800043918 -144.41397645517327 2016-07-01T17:38:31Z 0.0142881 0.0491506
gp_363-20160630T0230 4801994 2016-07-01T21:52:05Z 50.095827348732094 -144.41882216334034 50.09778202240122 -144.4250233050048 2016-07-01T23:06:56Z -0.0202768 -0.00750276
gp_363-20160630T0230 4801994 2016-07-02T03:13:51Z 50.11183567470564 -144.4277061579787 50.120994452541794 -144.42605449766674 2016-07-02T04:28:40Z -0.0570919 0.0547374
gp_363-20160630T0230 4801994 2016-07-02T08:34:50Z 50.12612565267517 -144.4218566236768 50.11719473013961 -144.41800072261657 2016-07-02T09:49:03Z 0.0145365 -0.00201682
gp_363-20160630T0230 4801994 2016-07-02T13:55:04Z 50.10269440342841 -144.41677389095503 50.104357803487105 -144.42151494092053 2016-07-02T15:13:02Z -0.0158054 0.0303797
gp_363-20160630T0230 4801994 2016-07-02T19:24:43Z 50.11339614421983 -144.42318019766665 50.11934328920194 -144.42319623104842 2016-07-02T20:42:39Z -0.0192107 0.0224167
gp_363-20160630T0230 4801994 2016-07-03T00:56:11Z 50.12166167951828 -144.42047960457626 50.11557027372609 -144.41831427113354 2016-07-03T02:11:52Z -3.38535E-4 0.0125168
gp_363-20160630T0230 4801994 2016-07-03T06:20:18Z 50.10164040385576 -144.41688894388986 50.09830543280178 -144.41896535670273 2016-07-03T07:34:38Z -0.0272061 0.0509953
gp_363-20160630T0230 4801994 2016-07-03T11:45:36Z 50.096542054365884 -144.41977471378232 50.099578676889735 -144.42203876427288 2016-07-03T13:01:25Z -0.0161346 0.0117738
gp_363-20160630T0230 4801994 2016-07-03T17:08:06Z 50.112125720440645 -144.4283393550198 50.12138982626879 -144.42589127345994 2016-07-03T18:30:28Z -0.0252379 0.0394449
gp_363-20160630T0230 4801994 2016-07-03T22:37:18Z 50.13405505796582 -144.41920023308032 50.12516214149075 -144.41738992120577 2016-07-03T23:54:23Z -0.00580844 0.00139686
gp_363-20160630T0230 4801994 2016-07-04T04:10:04Z 50.10295369554141 -144.40852330293384 50.09959201569647 -144.41275975457097 2016-07-04T05:26:00Z -0.0188142 0.0592121
gp_363-20160630T0230 4801994 2016-07-04T09:39:42Z 50.09505776349277 -144.4270618824308 50.09947918012209 -144.42725380087458 2016-07-04T10:56:47Z -0.0145218 0.00654169
gp_363-20160630T0230 4801994 2016-07-04T15:11:32Z 50.118250651243436 -144.42484693316635 50.12439959756962 -144.42323430833895 2016-07-04T16:27:21Z -0.0214544 0.0308651
gp_363-20160630T0230 4801994 2016-07-04T19:34:06Z 50.135521585342275 -144.4112647374714 50.13389868383757 -144.41168711070162 2016-07-04T19:49:23Z 0.115099 -0.0701381
gp_363-20160630T0230 4801994 2016-07-04T20:25:32Z 50.1303432104004 -144.40938030918895 50.12995980652921 -144.41095837272712 2016-07-04T20:40:24Z 0.0293787 -0.0957322
gp_363-20160630T0230 4801994 2016-07-04T21:18:59Z 50.12828548177245 -144.41177244377835 50.12808984601355 -144.41319676955752 2016-07-04T21:33:40Z 0.0675871 -0.139917
gp_363-20160630T0230 4801994 2016-07-04T22:10:48Z 50.12570495494004 -144.4142793006132 50.12577687250539 -144.41689144061945 2016-07-04T22:25:12Z -0.104497 -0.179956

In total, there are 29 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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