ERDDAP > tabledap > Subset

Dataset Title:	gp_363-20160630T0230-delayed
Institution:	OOI Coastal & Global Scale Nodes (CGSN)   (Dataset ID: gp_363-20160630T0230-delayed)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | 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.

wmo_id	= (ANY) 4801994	1 option: 4801994
trajectory	= (ANY) gp_363-20160630T0230	1 option: gp_363-20160630T0230
profile_id	= (ANY) 1467254071 1467255706 1467257862 1467260983 1467266610 1467276489 1467292031 1467308542 1467327550 1467346822 1467365846 1467385294 1467405144 1467424522 1467443802 1467462956 1467482579 1467502532 1467522006 1467541441 1467561260 1467580619 1467600594 1467620234 1467640216 1467660476 1467663537 1467666697 1467669859	29 options
time	= (ANY) 2016-06-30T02:37:14Z 2016-06-30T03:06:47Z 2016-06-30T03:46:40Z 2016-06-30T04:49:21Z 2016-06-30T06:42:25Z 2016-06-30T09:50:56Z 2016-06-30T14:14:52Z 2016-06-30T18:54:26Z 2016-07-01T00:20:19Z 2016-07-01T05:31:41Z 2016-07-01T10:57:26Z 2016-07-01T16:11:55Z 2016-07-01T21:52:05Z 2016-07-02T03:13:51Z 2016-07-02T08:34:50Z 2016-07-02T13:55:04Z 2016-07-02T19:24:43Z 2016-07-03T00:56:11Z 2016-07-03T06:20:18Z 2016-07-03T11:45:36Z 2016-07-03T17:08:06Z 2016-07-03T22:37:18Z 2016-07-04T04:10:04Z 2016-07-04T09:39:42Z 2016-07-04T15:11:32Z 2016-07-04T19:34:06Z 2016-07-04T20:25:32Z 2016-07-04T21:18:59Z 2016-07-04T22:10:48Z	29 options
latitude	= (ANY) 50.09505776349277 50.095827348732094 50.096542054365884 50.10164040385576 50.10269440342841 50.10295369554141 50.11183567470564 50.112125720440645 50.11339614421983 50.113587220499646 50.118250651243436 50.12166167951828 50.12570495494004 50.12612565267517 50.12749168460813 50.12828548177245 50.1303432104004 50.1309253691688 50.13264565831091 50.13405505796582 50.13420047617155 50.1348799187302 50.135521585342275 50.14374257983155 50.15623144700995 50.16368036410163 50.166675992677604 50.16735357408639 50.167712987174  degrees_north	29 options
longitude	= (ANY) -144.6109075042427 -144.60202457910583 -144.55810864947736 -144.55385607237955 -144.5216037795611 -144.50450833294136 -144.50389816719724 -144.49945601016404 -144.49786772830387 -144.4972851049181 -144.44816211361012 -144.4283393550198 -144.4277061579787 -144.4270618824308 -144.42484693316635 -144.42318019766665 -144.4218566236768 -144.42047960457626 -144.41977471378232 -144.41920023308032 -144.41882216334034 -144.41688894388986 -144.41677389095503 -144.41623012969754 -144.4142793006132 -144.41177244377835 -144.4112647374714 -144.40938030918895 -144.40852330293384  degrees_east	29 options

View:      Map of Distinct Data      Distinct Data Counts     Distinct Data  0 10 100 1000 10000 100000      Related Data Counts     Related Data  0 10 100 1000 10000 100000

 

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

 

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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.
 

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

wmo_id	trajectory	profile_id	time	latitude	longitude
			UTC	degrees_north	degrees_east
4801994	gp_363-20160630T0230	1467254071	2016-06-30T02:37:14Z	50.16735357408639	-144.49945601016404
4801994	gp_363-20160630T0230	1467255706	2016-06-30T03:06:47Z	50.167712987174	-144.4972851049181
4801994	gp_363-20160630T0230	1467257862	2016-06-30T03:46:40Z	50.166675992677604	-144.49786772830387
4801994	gp_363-20160630T0230	1467260983	2016-06-30T04:49:21Z	50.16368036410163	-144.50450833294136
4801994	gp_363-20160630T0230	1467266610	2016-06-30T06:42:25Z	50.15623144700995	-144.5216037795611
4801994	gp_363-20160630T0230	1467276489	2016-06-30T09:50:56Z	50.14374257983155	-144.55810864947736
4801994	gp_363-20160630T0230	1467292031	2016-06-30T14:14:52Z	50.13264565831091	-144.60202457910583
4801994	gp_363-20160630T0230	1467308542	2016-06-30T18:54:26Z	50.12749168460813	-144.6109075042427
4801994	gp_363-20160630T0230	1467327550	2016-07-01T00:20:19Z	50.1309253691688	-144.55385607237955
4801994	gp_363-20160630T0230	1467346822	2016-07-01T05:31:41Z	50.13420047617155	-144.50389816719724
4801994	gp_363-20160630T0230	1467365846	2016-07-01T10:57:26Z	50.1348799187302	-144.44816211361012
4801994	gp_363-20160630T0230	1467385294	2016-07-01T16:11:55Z	50.113587220499646	-144.41623012969754
4801994	gp_363-20160630T0230	1467405144	2016-07-01T21:52:05Z	50.095827348732094	-144.41882216334034
4801994	gp_363-20160630T0230	1467424522	2016-07-02T03:13:51Z	50.11183567470564	-144.4277061579787
4801994	gp_363-20160630T0230	1467443802	2016-07-02T08:34:50Z	50.12612565267517	-144.4218566236768
4801994	gp_363-20160630T0230	1467462956	2016-07-02T13:55:04Z	50.10269440342841	-144.41677389095503
4801994	gp_363-20160630T0230	1467482579	2016-07-02T19:24:43Z	50.11339614421983	-144.42318019766665
4801994	gp_363-20160630T0230	1467502532	2016-07-03T00:56:11Z	50.12166167951828	-144.42047960457626
4801994	gp_363-20160630T0230	1467522006	2016-07-03T06:20:18Z	50.10164040385576	-144.41688894388986
4801994	gp_363-20160630T0230	1467541441	2016-07-03T11:45:36Z	50.096542054365884	-144.41977471378232
4801994	gp_363-20160630T0230	1467561260	2016-07-03T17:08:06Z	50.112125720440645	-144.4283393550198
4801994	gp_363-20160630T0230	1467580619	2016-07-03T22:37:18Z	50.13405505796582	-144.41920023308032
4801994	gp_363-20160630T0230	1467600594	2016-07-04T04:10:04Z	50.10295369554141	-144.40852330293384
4801994	gp_363-20160630T0230	1467620234	2016-07-04T09:39:42Z	50.09505776349277	-144.4270618824308
4801994	gp_363-20160630T0230	1467640216	2016-07-04T15:11:32Z	50.118250651243436	-144.42484693316635
4801994	gp_363-20160630T0230	1467660476	2016-07-04T19:34:06Z	50.135521585342275	-144.4112647374714
4801994	gp_363-20160630T0230	1467663537	2016-07-04T20:25:32Z	50.1303432104004	-144.40938030918895
4801994	gp_363-20160630T0230	1467666697	2016-07-04T21:18:59Z	50.12828548177245	-144.41177244377835
4801994	gp_363-20160630T0230	1467669859	2016-07-04T22:10:48Z	50.12570495494004	-144.4142793006132

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.
 

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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.
 

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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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