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Dataset Title:	Glider - 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 | 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	= (ANY) gp_575-20160627T1858	1 option: gp_575-20160627T1858
wmo_id	= (ANY) 4801999	1 option: 4801999
profile_id	= (ANY)	1 option:
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
lat_uv	= (ANY) 50.074761737829185 50.0760923014482 50.077481477128075 50.078642517573314 50.07891283263703 50.09399449595106 50.09854815403391 50.100282196347926 50.10069923102082 50.10362077335751 50.10576694722703 50.106374360347516 50.10755703473508 50.115395061062166 50.11547377268515 50.11994454461626 50.12025124707102 50.12365184589835 50.124588333333335 50.14720467241983 50.14806029275142 50.148641859189034 50.14871000134643 50.15869123408157 50.1648307030142 50.175715882016796 50.176558132299704 50.19057642329528 50.19565523742579  degrees_north	29 options
lon_uv	= (ANY) -144.5129381552191 -144.5129309389291 -144.51033638922962 -144.50752314107743 -144.49252015239173 -144.45462536829785 -144.42201887390877 -144.42147841184743 -144.42124658292045 -144.41761300667488 -144.4175249183161 -144.41674544951766 -144.41667833333335 -144.4162263734815 -144.41601245051143 -144.4156116848767 -144.41520576801577 -144.4141147933599 -144.4071225247894 -144.40677182842225 -144.39936578033567 -144.39430808854965 -144.3855596044904 -144.38040260907417 -144.37739625328092 -144.3770216554088 -144.3761826620777 -144.37414370937827 -144.37404512517435  degrees_east	29 options
time_uv	= (ANY) 2016-06-27T19:06:03Z 2016-06-27T19:37:22Z 2016-06-27T20:21:31Z 2016-06-27T22:03:07Z 2016-06-28T00:23:24Z 2016-06-28T04:17:32Z 2016-06-28T08:45:41Z 2016-06-28T13:13:21Z 2016-06-28T18:50:05Z 2016-06-29T00:44:44Z 2016-06-29T06:36:52Z 2016-06-29T12:26:23Z 2016-06-29T20:58:36Z 2016-06-30T07:45:22Z 2016-06-30T17:43:55Z 2016-07-01T03:50:22Z 2016-07-01T13:55:55Z 2016-07-02T00:14:18Z 2016-07-02T10:09:34Z 2016-07-02T20:18:57Z 2016-07-03T05:22:58Z 2016-07-03T16:26:48Z 2016-07-04T02:41:06Z 2016-07-04T12:42:26Z 2016-07-04T19:36:41Z 2016-07-04T20:27:31Z 2016-07-04T21:17:11Z 2016-07-04T22:05:42Z 2016-07-04T22:52:59Z	29 options
u	= (ANY) -0.180007 -0.170091 -0.153979 -0.106677 -0.0931832 -0.0642787 -0.0420173 -0.0406571 -0.0370452 -0.0304505 -0.0296603 -0.0258936 -0.0218513 -0.0217889 -0.0187789 -0.017761 -0.0167019 -0.0132964 -0.0128068 -0.010613 -0.0102122 -0.0097795 -0.00773245 -0.00653551 -0.00594395 -0.00124159 0.00739432 0.0370584 0.0923489  m s-1	29 options
v	= (ANY) -0.379872 -0.189455 -0.189386 -0.183671 -0.167079 -0.166833 -0.0543672 -0.0305487 -0.0110648 -0.00191988 0.00652017 0.00679875 0.00828239 0.00839467 0.00977746 0.014239 0.0157258 0.0186756 0.0189928 0.0196658 0.0200947 0.0219435 0.0271666 0.0273132 0.0282402 0.0404557 0.0454251 0.0466633 0.109428  m s-1	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)  

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_575-20160627T1858	4801999		2016-06-27T19:03:32Z	50.14886909419766	-144.50755241616218	50.14871000134643	-144.50752314107743	2016-06-27T19:06:03Z	-0.0931832	-0.379872
gp_575-20160627T1858	4801999		2016-06-27T19:31:32Z	50.147183502911595	-144.51033388408493	50.14720467241983	-144.51033638922962	2016-06-27T19:37:22Z	-0.170091	-0.189386
gp_575-20160627T1858	4801999		2016-06-27T20:11:10Z	50.14786053993603	-144.51325505275162	50.148641859189034	-144.5129309389291	2016-06-27T20:21:31Z	-0.180007	-0.0305487
gp_575-20160627T1858	4801999		2016-06-27T21:41:53Z	50.15617530205049	-144.51689681479462	50.15869123408157	-144.5129381552191	2016-06-27T22:03:07Z	-0.0642787	0.109428
gp_575-20160627T1858	4801999		2016-06-27T23:23:05Z	50.16780068800382	-144.50389862741102	50.1648307030142	-144.49252015239173	2016-06-28T00:23:24Z	-0.0128068	0.0404557
gp_575-20160627T1858	4801999		2016-06-28T02:36:58Z	50.16886510000092	-144.47084209849186	50.176558132299704	-144.45462536829785	2016-06-28T04:17:32Z	-0.0304505	0.014239
gp_575-20160627T1858	4801999		2016-06-28T06:56:11Z	50.18309271076125	-144.43005496749967	50.19057642329528	-144.4162263734815	2016-06-28T08:45:41Z	-0.0406571	-0.00191988
gp_575-20160627T1858	4801999		2016-06-28T11:20:38Z	50.20027619936897	-144.3979975328841	50.19565523742579	-144.3855596044904	2016-06-28T13:13:21Z	-0.0258936	0.0454251
gp_575-20160627T1858	4801999		2016-06-28T16:19:12Z	50.193861366373774	-144.36931850615971	50.175715882016796	-144.37739625328092	2016-06-28T18:50:05Z	0.00739432	-0.0110648
gp_575-20160627T1858	4801999		2016-06-28T22:10:57Z	50.155091788092506	-144.38607552863922	50.14806029275142	-144.39936578033567	2016-06-29T00:44:44Z	-0.010613	0.0466633
gp_575-20160627T1858	4801999		2016-06-29T04:07:41Z	50.14024498418692	-144.41324141395555	50.12365184589835	-144.4141147933599	2016-06-29T06:36:52Z	-0.00594395	0.0157258
gp_575-20160627T1858	4801999		2016-06-29T09:54:35Z	50.10716173075285	-144.41367560746616	50.10362077335751	-144.42201887390877	2016-06-29T12:26:23Z	-0.0420173	0.0219435
gp_575-20160627T1858	4801999		2016-06-29T15:51:33Z	50.09890436181541	-144.43010175220536	50.09399449595106	-144.4175249183161	2016-06-29T20:58:36Z	-0.017761	0.00828239
gp_575-20160627T1858	4801999		2016-06-30T03:13:25Z	50.08960034875076	-144.397922692914	50.09854815403391	-144.40677182842225	2016-06-30T07:45:22Z	-0.0217889	0.00679875
gp_575-20160627T1858	4801999		2016-06-30T13:08:07Z	50.112927548478545	-144.41713835300857	50.12025124707102	-144.41601245051143	2016-06-30T17:43:55Z	-0.0167019	0.0186756
gp_575-20160627T1858	4801999		2016-06-30T23:10:53Z	50.12411484344726	-144.41567813140628	50.106374360347516	-144.41674544951766	2016-07-01T03:50:22Z	-0.0218513	0.0271666
gp_575-20160627T1858	4801999		2016-07-01T09:15:34Z	50.08904107004509	-144.41704399974816	50.10069923102082	-144.4156116848767	2016-07-01T13:55:55Z	-0.0187789	0.0189928
gp_575-20160627T1858	4801999		2016-07-01T19:35:49Z	50.117032846437	-144.41849418282516	50.11547377268515	-144.42147841184743	2016-07-02T00:14:18Z	-0.0296603	0.00839467
gp_575-20160627T1858	4801999		2016-07-02T05:36:56Z	50.110925065164466	-144.422922138278	50.10576694722703	-144.41520576801577	2016-07-02T10:09:34Z	-0.0132964	0.00977746
gp_575-20160627T1858	4801999		2016-07-02T15:41:46Z	50.104881334989514	-144.40111535950484	50.115395061062166	-144.4071225247894	2016-07-02T20:18:57Z	-0.0097795	0.0282402
gp_575-20160627T1858	4801999		2016-07-03T01:44:58Z	50.12459344972897	-144.4166527111189	50.124588333333335	-144.41667833333335	2016-07-03T05:22:58Z	-0.0102122	0.0273132
gp_575-20160627T1858	4801999		2016-07-03T12:47:14Z	50.11068635743557	-144.37542569749033	50.10755703473508	-144.39430808854965	2016-07-03T16:26:48Z	-0.00653551	0.0200947
gp_575-20160627T1858	4801999		2016-07-03T22:07:18Z	50.114071065758544	-144.41487684009562	50.11994454461626	-144.42124658292045	2016-07-04T02:41:06Z	-0.0370452	0.0196658
gp_575-20160627T1858	4801999		2016-07-04T08:02:56Z	50.12255909118292	-144.430135945171	50.100282196347926	-144.41761300667488	2016-07-04T12:42:26Z	-0.00773245	0.00652017
gp_575-20160627T1858	4801999		2016-07-04T19:24:07Z	50.07844033949011	-144.37719939873526	50.07891283263703	-144.3770216554088	2016-07-04T19:36:41Z	0.0923489	-0.0543672
gp_575-20160627T1858	4801999		2016-07-04T20:13:19Z	50.07867123108547	-144.37307925008835	50.078642517573314	-144.37414370937827	2016-07-04T20:27:31Z	0.0370584	-0.167079
gp_575-20160627T1858	4801999		2016-07-04T21:04:28Z	50.07732835002829	-144.37304234582334	50.077481477128075	-144.37404512517435	2016-07-04T21:17:11Z	-0.00124159	-0.166833
gp_575-20160627T1858	4801999		2016-07-04T21:53:03Z	50.07579128827328	-144.37442405355017	50.0760923014482	-144.3761826620777	2016-07-04T22:05:42Z	-0.106677	-0.183671
gp_575-20160627T1858	4801999		2016-07-04T22:41:38Z	50.0744803749667	-144.3788251721357	50.074761737829185	-144.38040260907417	2016-07-04T22:52:59Z	-0.153979	-0.189455

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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