ERDDAP > tabledap > Subset

Dataset Title:	gp_575-20160627T1858-delayed
Institution:	OOI Coastal & Global Scale Nodes (CGSN)   (Dataset ID: gp_575-20160627T1858-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) 4801999	1 option: 4801999
trajectory	= (ANY) gp_575-20160627T1858	1 option: gp_575-20160627T1858
profile_id	= (ANY) 1467054117 1467055683 1467057807 1467062845 1467068875 1467080461 1467095962 1467111872 1467129759 1467150801 1467172296 1467193061 1467214401 1467255497 1467291143 1467327329 1467363633 1467400832 1467436919 1467473175 1467509355 1467545475 1467582709 1467618442 1467659939 1467662790 1467665917 1467668838 1467671804	29 options
time	= (ANY) 2016-06-27T19:03:32Z 2016-06-27T19:31:32Z 2016-06-27T20:11:10Z 2016-06-27T21:41:53Z 2016-06-27T23:23:05Z 2016-06-28T02:36:58Z 2016-06-28T06:56:11Z 2016-06-28T11:20:38Z 2016-06-28T16:19:12Z 2016-06-28T22:10:57Z 2016-06-29T04:07:41Z 2016-06-29T09:54:35Z 2016-06-29T15:51:33Z 2016-06-30T03:13:25Z 2016-06-30T13:08:07Z 2016-06-30T23:10:53Z 2016-07-01T09:15:34Z 2016-07-01T19:35:49Z 2016-07-02T05:36:56Z 2016-07-02T15:41:46Z 2016-07-03T01:44:58Z 2016-07-03T12:47:14Z 2016-07-03T22:07:18Z 2016-07-04T08:02:56Z 2016-07-04T19:24:07Z 2016-07-04T20:13:19Z 2016-07-04T21:04:28Z 2016-07-04T21:53:03Z 2016-07-04T22:41:38Z	29 options
latitude	= (ANY) 50.0744803749667 50.07579128827328 50.07732835002829 50.07844033949011 50.07867123108547 50.08904107004509 50.08960034875076 50.09890436181541 50.104881334989514 50.10716173075285 50.11068635743557 50.110925065164466 50.112927548478545 50.114071065758544 50.117032846437 50.12255909118292 50.12411484344726 50.12459344972897 50.14024498418692 50.147183502911595 50.14786053993603 50.14886909419766 50.155091788092506 50.15617530205049 50.16780068800382 50.16886510000092 50.18309271076125 50.193861366373774 50.20027619936897  degrees_north	29 options
longitude	= (ANY) -144.51689681479462 -144.51325505275162 -144.51033388408493 -144.50755241616218 -144.50389862741102 -144.47084209849186 -144.430135945171 -144.43010175220536 -144.43005496749967 -144.422922138278 -144.41849418282516 -144.41713835300857 -144.41704399974816 -144.4166527111189 -144.41567813140628 -144.41487684009562 -144.41367560746616 -144.41324141395555 -144.40111535950484 -144.3979975328841 -144.397922692914 -144.38607552863922 -144.3788251721357 -144.37719939873526 -144.37542569749033 -144.37442405355017 -144.37307925008835 -144.37304234582334 -144.36931850615971  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
4801999	gp_575-20160627T1858	1467054117	2016-06-27T19:03:32Z	50.14886909419766	-144.50755241616218
4801999	gp_575-20160627T1858	1467055683	2016-06-27T19:31:32Z	50.147183502911595	-144.51033388408493
4801999	gp_575-20160627T1858	1467057807	2016-06-27T20:11:10Z	50.14786053993603	-144.51325505275162
4801999	gp_575-20160627T1858	1467062845	2016-06-27T21:41:53Z	50.15617530205049	-144.51689681479462
4801999	gp_575-20160627T1858	1467068875	2016-06-27T23:23:05Z	50.16780068800382	-144.50389862741102
4801999	gp_575-20160627T1858	1467080461	2016-06-28T02:36:58Z	50.16886510000092	-144.47084209849186
4801999	gp_575-20160627T1858	1467095962	2016-06-28T06:56:11Z	50.18309271076125	-144.43005496749967
4801999	gp_575-20160627T1858	1467111872	2016-06-28T11:20:38Z	50.20027619936897	-144.3979975328841
4801999	gp_575-20160627T1858	1467129759	2016-06-28T16:19:12Z	50.193861366373774	-144.36931850615971
4801999	gp_575-20160627T1858	1467150801	2016-06-28T22:10:57Z	50.155091788092506	-144.38607552863922
4801999	gp_575-20160627T1858	1467172296	2016-06-29T04:07:41Z	50.14024498418692	-144.41324141395555
4801999	gp_575-20160627T1858	1467193061	2016-06-29T09:54:35Z	50.10716173075285	-144.41367560746616
4801999	gp_575-20160627T1858	1467214401	2016-06-29T15:51:33Z	50.09890436181541	-144.43010175220536
4801999	gp_575-20160627T1858	1467255497	2016-06-30T03:13:25Z	50.08960034875076	-144.397922692914
4801999	gp_575-20160627T1858	1467291143	2016-06-30T13:08:07Z	50.112927548478545	-144.41713835300857
4801999	gp_575-20160627T1858	1467327329	2016-06-30T23:10:53Z	50.12411484344726	-144.41567813140628
4801999	gp_575-20160627T1858	1467363633	2016-07-01T09:15:34Z	50.08904107004509	-144.41704399974816
4801999	gp_575-20160627T1858	1467400832	2016-07-01T19:35:49Z	50.117032846437	-144.41849418282516
4801999	gp_575-20160627T1858	1467436919	2016-07-02T05:36:56Z	50.110925065164466	-144.422922138278
4801999	gp_575-20160627T1858	1467473175	2016-07-02T15:41:46Z	50.104881334989514	-144.40111535950484
4801999	gp_575-20160627T1858	1467509355	2016-07-03T01:44:58Z	50.12459344972897	-144.4166527111189
4801999	gp_575-20160627T1858	1467545475	2016-07-03T12:47:14Z	50.11068635743557	-144.37542569749033
4801999	gp_575-20160627T1858	1467582709	2016-07-03T22:07:18Z	50.114071065758544	-144.41487684009562
4801999	gp_575-20160627T1858	1467618442	2016-07-04T08:02:56Z	50.12255909118292	-144.430135945171
4801999	gp_575-20160627T1858	1467659939	2016-07-04T19:24:07Z	50.07844033949011	-144.37719939873526
4801999	gp_575-20160627T1858	1467662790	2016-07-04T20:13:19Z	50.07867123108547	-144.37307925008835
4801999	gp_575-20160627T1858	1467665917	2016-07-04T21:04:28Z	50.07732835002829	-144.37304234582334
4801999	gp_575-20160627T1858	1467668838	2016-07-04T21:53:03Z	50.07579128827328	-144.37442405355017
4801999	gp_575-20160627T1858	1467671804	2016-07-04T22:41:38Z	50.0744803749667	-144.3788251721357

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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