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Dataset Title:	Glider - Sverdrup-20190926T0000
Institution:	Texas A&M University, GCOOS-RA   (Dataset ID: sverdrup_20190926t0000)
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: 79)
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) Sverdrup-20190926T0000	1 option: Sverdrup-20190926T0000
wmo_id	= (ANY) 4801924	1 option: 4801924
profile_id	= (ANY) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79	79 options
time	= (ANY) 2019-09-26T17:25:43Z 2019-09-26T18:36:12Z 2019-09-26T19:21:06Z 2019-09-26T20:08:38Z 2019-09-26T21:11:20Z 2019-09-26T22:02:09Z 2019-09-26T23:36:48Z 2019-09-27T01:48:46Z 2019-09-27T04:26:25Z 2019-09-27T06:36:42Z 2019-09-27T09:24:14Z 2019-09-27T12:11:37Z 2019-09-27T15:23:42Z 2019-09-27T18:22:12Z 2019-09-27T22:00:14Z 2019-09-28T01:20:44Z 2019-09-28T04:57:01Z 2019-09-28T08:09:13Z 2019-09-28T11:48:16Z 2019-09-28T13:25:52Z 2019-09-28T15:02:43Z 2019-09-28T18:56:53Z 2019-09-28T23:12:39Z 2019-09-29T03:47:45Z 2019-09-29T07:45:52Z 2019-09-29T12:15:30Z 2019-09-29T16:21:37Z 2019-09-29T21:00:24Z 2019-09-30T01:17:21Z 2019-09-30T05:52:09Z 2019-09-30T09:53:44Z 2019-09-30T14:21:45Z 2019-09-30T18:11:58Z 2019-09-30T22:25:46Z 2019-10-01T02:19:54Z 2019-10-01T05:52:32Z 2019-10-01T09:39:41Z 2019-10-01T14:32:10Z 2019-10-01T18:54:08Z 2019-10-01T23:40:26Z 2019-10-02T04:08:31Z 2019-10-02T08:51:20Z 2019-10-02T13:09:52Z 2019-10-02T17:49:28Z 2019-10-02T22:12:49Z 2019-10-03T02:58:25Z 2019-10-03T07:21:53Z 2019-10-03T12:10:21Z 2019-10-03T16:32:09Z 2019-10-03T21:17:29Z 2019-10-04T01:35:37Z 2019-10-04T06:07:00Z 2019-10-04T10:33:47Z 2019-10-04T15:12:29Z 2019-10-04T19:42:25Z 2019-10-05T00:20:40Z 2019-10-05T04:43:50Z 2019-10-05T09:52:53Z 2019-10-05T14:15:58Z 2019-10-05T19:00:20Z 2019-10-05T23:24:42Z 2019-10-06T04:06:57Z 2019-10-06T08:20:15Z 2019-10-06T13:01:02Z 2019-10-06T17:28:20Z 2019-10-06T22:12:50Z 2019-10-07T02:36:34Z 2019-10-07T07:20:05Z 2019-10-07T11:37:19Z 2019-10-07T16:18:03Z 2019-10-07T20:44:28Z 2019-10-08T01:34:17Z 2019-10-08T05:55:42Z 2019-10-08T10:35:26Z 2019-10-08T14:54:37Z 2019-10-08T19:36:09Z 2019-10-08T23:57:46Z 2019-10-09T04:29:23Z 2019-10-09T08:35:53Z	79 options
latitude	= (ANY) 26.524494951367974 26.53893821502542 26.550455007105217 26.55329128934914 26.572376859265134 26.589400915953814 26.589859464008104 26.60829423567265 26.622758214050055 26.63087941134458 26.644976758262583 26.665537347679788 26.673913448572787 26.690005178983203 26.714381016762154 26.71815757767836 26.739966747288328 26.760738502956848 26.76565089745852 26.79693903788204 26.802511612284004 26.828856585735373 26.841716182729648 26.865788388523413 26.876150698982016 26.903748552954276 26.910601404171814 26.941350020702348 26.947210937229787 26.978267493543164 26.983859904601857 27.016494686192054 27.019241795892338 27.05258590188509 27.055078543353407 27.08515972654384 27.086814706654586 27.115351578663056 27.118561325541222 27.13762197483551 27.152538186859907 27.163817724875795 27.175478500171728 27.184747030133543 27.18546964258322 27.195509571779485 27.209043512433407 27.219121317611517 27.226329089888356 27.244918588548376 27.250759361243162 27.263267023831407 27.28011383001544 27.28089269498593 27.303060676231496 27.323338720135343 27.3445145456777 27.359704580145713 27.37649874999973 27.384080747253723 27.39171938793074 27.412010137270467 27.430783313970448 27.457151113285185 27.482613071261735 27.5132466204269 27.538841154234525 27.561157096545504 27.579277702442546 27.594066158228973 27.604775590755487 27.620031065852427 27.633963606575513 27.64580277339141 27.653551871990306 27.65442618115384 27.65580408166861 27.65706494135731 27.666864631292345  degrees_north	79 options
longitude	= (ANY) -94.34163315863773 -94.33151556655741 -94.32710754099588 -94.32619250324353 -94.32344460639013 -94.32262671627933 -94.32152340838672 -94.31910485455293 -94.3190988401889 -94.30232808124389 -94.28047822384374 -94.2613370435793 -94.2406346874599 -94.2287759343957 -94.21285005775778 -94.19909633586114 -94.18451739045852 -94.17281268349342 -94.1577322583465 -94.14973440371753 -94.14179585621953 -94.12022754738845 -94.09292957494091 -94.06464912692319 -94.0509093825055 -94.04863412863062 -94.04809404017323 -94.04416680524808 -94.04193107036956 -94.04120951226034 -94.04104320324268 -94.0368995809497 -94.03666037787868 -94.03529560837828 -94.03308868230754 -94.03248185475563 -94.03110290944556 -94.02747806290989 -94.01939280581965 -94.01558008409249 -94.01391101390016 -94.0125285999776 -94.01089729445276 -94.01020665400263 -94.00825814909486 -94.00674666510847 -94.00630051817329 -94.0059675798484 -94.00551550165989 -94.00447399130056 -94.00374471297614 -94.0037247708188 -94.00308293597344 -94.00292186910563 -93.99557934010006 -93.99521003019389 -93.97601668316801 -93.97297134997606 -93.96139536419268 -93.95339739950757 -93.95310980170713 -93.94093485966344 -93.93269895963458 -93.93161606820055 -93.92056290174384 -93.91353936036786 -93.9109112592277 -93.90160015846818 -93.89594707328935 -93.89394565285096 -93.88622149162566 -93.88575766312516 -93.88378789527856 -93.88308575562293 -93.88178782920761 -93.87978813409563 -93.87945982950679 -93.87448991299121 -93.86995892668156  degrees_east	79 options
time_uv	= (ANY)	1 option:
lat_uv	= (ANY)	1 option:
lon_uv	= (ANY)	1 option:
u	= (ANY)	1 option:
v	= (ANY)	1 option:

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	time_uv	lat_uv	lon_uv	u	v
			UTC	degrees_north	degrees_east
Sverdrup-20190926T0000	4801924	1	2019-09-26T17:25:43Z	27.666864631292345	-94.34163315863773
Sverdrup-20190926T0000	4801924	2	2019-09-26T18:36:12Z	27.65706494135731	-94.33151556655741
Sverdrup-20190926T0000	4801924	3	2019-09-26T19:21:06Z	27.65442618115384	-94.32710754099588
Sverdrup-20190926T0000	4801924	4	2019-09-26T20:08:38Z	27.65580408166861	-94.32619250324353
Sverdrup-20190926T0000	4801924	5	2019-09-26T21:11:20Z	27.653551871990306	-94.32344460639013
Sverdrup-20190926T0000	4801924	6	2019-09-26T22:02:09Z	27.64580277339141	-94.32152340838672
Sverdrup-20190926T0000	4801924	7	2019-09-26T23:36:48Z	27.633963606575513	-94.31910485455293
Sverdrup-20190926T0000	4801924	8	2019-09-27T01:48:46Z	27.620031065852427	-94.32262671627933
Sverdrup-20190926T0000	4801924	9	2019-09-27T04:26:25Z	27.604775590755487	-94.3190988401889
Sverdrup-20190926T0000	4801924	10	2019-09-27T06:36:42Z	27.594066158228973	-94.30232808124389
Sverdrup-20190926T0000	4801924	11	2019-09-27T09:24:14Z	27.579277702442546	-94.28047822384374
Sverdrup-20190926T0000	4801924	12	2019-09-27T12:11:37Z	27.561157096545504	-94.2613370435793
Sverdrup-20190926T0000	4801924	13	2019-09-27T15:23:42Z	27.538841154234525	-94.2406346874599
Sverdrup-20190926T0000	4801924	14	2019-09-27T18:22:12Z	27.5132466204269	-94.2287759343957
Sverdrup-20190926T0000	4801924	15	2019-09-27T22:00:14Z	27.482613071261735	-94.21285005775778
Sverdrup-20190926T0000	4801924	16	2019-09-28T01:20:44Z	27.457151113285185	-94.19909633586114
Sverdrup-20190926T0000	4801924	17	2019-09-28T04:57:01Z	27.430783313970448	-94.18451739045852
Sverdrup-20190926T0000	4801924	18	2019-09-28T08:09:13Z	27.412010137270467	-94.17281268349342
Sverdrup-20190926T0000	4801924	19	2019-09-28T11:48:16Z	27.39171938793074	-94.1577322583465
Sverdrup-20190926T0000	4801924	20	2019-09-28T13:25:52Z	27.384080747253723	-94.14973440371753
Sverdrup-20190926T0000	4801924	21	2019-09-28T15:02:43Z	27.37649874999973	-94.14179585621953
Sverdrup-20190926T0000	4801924	22	2019-09-28T18:56:53Z	27.359704580145713	-94.12022754738845
Sverdrup-20190926T0000	4801924	23	2019-09-28T23:12:39Z	27.3445145456777	-94.09292957494091
Sverdrup-20190926T0000	4801924	24	2019-09-29T03:47:45Z	27.323338720135343	-94.06464912692319
Sverdrup-20190926T0000	4801924	25	2019-09-29T07:45:52Z	27.303060676231496	-94.04104320324268
Sverdrup-20190926T0000	4801924	26	2019-09-29T12:15:30Z	27.28089269498593	-94.01558008409249
Sverdrup-20190926T0000	4801924	27	2019-09-29T16:21:37Z	27.263267023831407	-93.99557934010006
Sverdrup-20190926T0000	4801924	28	2019-09-29T21:00:24Z	27.244918588548376	-93.97297134997606
Sverdrup-20190926T0000	4801924	29	2019-09-30T01:17:21Z	27.226329089888356	-93.95310980170713
Sverdrup-20190926T0000	4801924	30	2019-09-30T05:52:09Z	27.209043512433407	-93.93269895963458
Sverdrup-20190926T0000	4801924	31	2019-09-30T09:53:44Z	27.195509571779485	-93.91353936036786
Sverdrup-20190926T0000	4801924	32	2019-09-30T14:21:45Z	27.184747030133543	-93.89594707328935
Sverdrup-20190926T0000	4801924	33	2019-09-30T18:11:58Z	27.175478500171728	-93.87978813409563
Sverdrup-20190926T0000	4801924	34	2019-09-30T22:25:46Z	27.163817724875795	-93.86995892668156
Sverdrup-20190926T0000	4801924	35	2019-10-01T02:19:54Z	27.13762197483551	-93.87448991299121
Sverdrup-20190926T0000	4801924	36	2019-10-01T05:52:32Z	27.115351578663056	-93.87945982950679
Sverdrup-20190926T0000	4801924	37	2019-10-01T09:39:41Z	27.086814706654586	-93.88178782920761
Sverdrup-20190926T0000	4801924	38	2019-10-01T14:32:10Z	27.055078543353407	-93.88575766312516
Sverdrup-20190926T0000	4801924	39	2019-10-01T18:54:08Z	27.019241795892338	-93.88378789527856
Sverdrup-20190926T0000	4801924	40	2019-10-01T23:40:26Z	26.983859904601857	-93.88308575562293
Sverdrup-20190926T0000	4801924	41	2019-10-02T04:08:31Z	26.947210937229787	-93.88622149162566
Sverdrup-20190926T0000	4801924	42	2019-10-02T08:51:20Z	26.910601404171814	-93.89394565285096
Sverdrup-20190926T0000	4801924	43	2019-10-02T13:09:52Z	26.876150698982016	-93.90160015846818
Sverdrup-20190926T0000	4801924	44	2019-10-02T17:49:28Z	26.841716182729648	-93.9109112592277
Sverdrup-20190926T0000	4801924	45	2019-10-02T22:12:49Z	26.802511612284004	-93.92056290174384
Sverdrup-20190926T0000	4801924	46	2019-10-03T02:58:25Z	26.760738502956848	-93.93161606820055
Sverdrup-20190926T0000	4801924	47	2019-10-03T07:21:53Z	26.71815757767836	-93.94093485966344
Sverdrup-20190926T0000	4801924	48	2019-10-03T12:10:21Z	26.673913448572787	-93.95339739950757
Sverdrup-20190926T0000	4801924	49	2019-10-03T16:32:09Z	26.63087941134458	-93.96139536419268
Sverdrup-20190926T0000	4801924	50	2019-10-03T21:17:29Z	26.589400915953814	-93.97601668316801
Sverdrup-20190926T0000	4801924	51	2019-10-04T01:35:37Z	26.550455007105217	-93.99521003019389
Sverdrup-20190926T0000	4801924	52	2019-10-04T06:07:00Z	26.524494951367974	-94.01020665400263
Sverdrup-20190926T0000	4801924	53	2019-10-04T10:33:47Z	26.53893821502542	-94.0125285999776
Sverdrup-20190926T0000	4801924	54	2019-10-04T15:12:29Z	26.55329128934914	-94.01391101390016
Sverdrup-20190926T0000	4801924	55	2019-10-04T19:42:25Z	26.572376859265134	-94.00674666510847
Sverdrup-20190926T0000	4801924	56	2019-10-05T00:20:40Z	26.589859464008104	-94.00308293597344
Sverdrup-20190926T0000	4801924	57	2019-10-05T04:43:50Z	26.60829423567265	-94.00292186910563
Sverdrup-20190926T0000	4801924	58	2019-10-05T09:52:53Z	26.622758214050055	-94.00551550165989
Sverdrup-20190926T0000	4801924	59	2019-10-05T14:15:58Z	26.644976758262583	-94.00374471297614
Sverdrup-20190926T0000	4801924	60	2019-10-05T19:00:20Z	26.665537347679788	-94.0037247708188
Sverdrup-20190926T0000	4801924	61	2019-10-05T23:24:42Z	26.690005178983203	-94.00447399130056
Sverdrup-20190926T0000	4801924	62	2019-10-06T04:06:57Z	26.714381016762154	-94.00630051817329
Sverdrup-20190926T0000	4801924	63	2019-10-06T08:20:15Z	26.739966747288328	-94.0059675798484
Sverdrup-20190926T0000	4801924	64	2019-10-06T13:01:02Z	26.76565089745852	-94.00825814909486
Sverdrup-20190926T0000	4801924	65	2019-10-06T17:28:20Z	26.79693903788204	-94.01089729445276
Sverdrup-20190926T0000	4801924	66	2019-10-06T22:12:50Z	26.828856585735373	-94.01939280581965
Sverdrup-20190926T0000	4801924	67	2019-10-07T02:36:34Z	26.865788388523413	-94.02747806290989
Sverdrup-20190926T0000	4801924	68	2019-10-07T07:20:05Z	26.903748552954276	-94.03666037787868
Sverdrup-20190926T0000	4801924	69	2019-10-07T11:37:19Z	26.941350020702348	-94.04193107036956
Sverdrup-20190926T0000	4801924	70	2019-10-07T16:18:03Z	26.978267493543164	-94.04809404017323
Sverdrup-20190926T0000	4801924	71	2019-10-07T20:44:28Z	27.016494686192054	-94.04863412863062
Sverdrup-20190926T0000	4801924	72	2019-10-08T01:34:17Z	27.05258590188509	-94.0509093825055
Sverdrup-20190926T0000	4801924	73	2019-10-08T05:55:42Z	27.08515972654384	-94.04416680524808
Sverdrup-20190926T0000	4801924	74	2019-10-08T10:35:26Z	27.118561325541222	-94.04120951226034
Sverdrup-20190926T0000	4801924	75	2019-10-08T14:54:37Z	27.152538186859907	-94.0368995809497
Sverdrup-20190926T0000	4801924	76	2019-10-08T19:36:09Z	27.18546964258322	-94.03529560837828
Sverdrup-20190926T0000	4801924	77	2019-10-08T23:57:46Z	27.219121317611517	-94.03248185475563
Sverdrup-20190926T0000	4801924	78	2019-10-09T04:29:23Z	27.250759361243162	-94.03308868230754
Sverdrup-20190926T0000	4801924	79	2019-10-09T08:35:53Z	27.28011383001544	-94.03110290944556

In total, there are 79 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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