ERDDAP > tabledap > Subset

Dataset Title:	Glider - ng282-20190901T0000
Institution:	Integrated Ocean Observing System,Naval Oceanographic Office,Rutgers University,National Oceanic and Atmospheric Administration,NOAA Atlantic Oceanographic and Meteorology Laboratory,Caribbean Coastal Observation System,Univerity of Puerto Rico Mayaguez   (Dataset ID: ng282_20190901t0000)
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: 54)
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) ng282-20190901T0000	1 option: ng282-20190901T0000
wmo_id	= (ANY) 4802965	1 option: 4802965
profile_id	= (ANY)	1 option:
time	= (ANY) 2019-09-09T12:34:08Z 2019-09-09T12:40:13Z 2019-09-09T13:07:30Z 2019-09-09T13:13:35Z 2019-09-09T13:56:12Z 2019-09-09T14:38:20Z 2019-09-09T15:21:27Z 2019-09-09T15:28:05Z 2019-09-09T19:33:00Z 2019-09-09T19:37:53Z 2019-09-09T19:42:51Z 2019-09-09T19:48:24Z 2019-09-09T20:02:53Z 2019-09-09T20:07:34Z 2019-09-09T20:13:20Z 2019-09-09T20:18:00Z 2019-09-09T20:32:54Z 2019-09-09T20:37:38Z 2019-09-09T20:42:43Z 2019-09-09T20:48:35Z 2019-09-10T01:19:15Z 2019-09-10T01:23:47Z 2019-09-10T01:29:44Z 2019-09-10T01:35:14Z 2019-09-10T01:50:40Z 2019-09-10T01:55:31Z 2019-09-10T02:00:29Z 2019-09-10T02:05:34Z 2019-09-10T02:20:27Z 2019-09-10T02:25:27Z 2019-09-10T02:30:18Z 2019-09-10T02:34:58Z 2019-09-10T03:39:33Z 2019-09-10T03:44:40Z 2019-09-10T03:50:38Z 2019-09-10T03:55:40Z 2019-09-10T04:48:59Z 2019-09-10T06:06:25Z 2019-09-10T07:44:23Z 2019-09-10T09:03:28Z 2019-09-10T10:46:22Z 2019-09-10T12:11:11Z 2019-09-10T13:57:02Z 2019-09-10T15:27:00Z 2019-09-10T17:15:45Z 2019-09-10T18:47:29Z 2019-09-10T20:33:12Z 2019-09-10T22:03:30Z 2019-09-10T23:54:55Z 2019-09-11T01:26:18Z 2019-09-11T03:14:05Z 2019-09-11T04:45:11Z 2019-09-11T06:34:15Z 2019-09-11T08:04:51Z	54 options
latitude	= (ANY) 17.7023868560791 17.716400146484375 17.725269317626953 17.73274803161621 17.73863410949707 17.744552612304688 17.75100326538086 17.75844955444336 17.7659912109375 17.774106979370117 17.78141975402832 17.788476943969727 17.795618057250977 17.80272674560547 17.80769920349121 17.812551498413086 17.81536102294922 17.815366744995117 17.815387725830078 17.815746307373047 17.816226959228516 17.81634521484375 17.816425323486328 17.81642723083496 17.81755828857422 17.817665100097656 17.817676544189453 17.817710876464844 17.819896697998047 17.821008682250977 17.821029663085938 17.821096420288086 17.821147918701172 17.821727752685547 17.821775436401367 17.8218936920166 17.821975708007812 17.823816299438477 17.823850631713867 17.82391357421875 17.824159622192383 17.826446533203125 17.826650619506836 17.8267822265625 17.827285766601562 17.842918395996094 17.843460083007812 17.847700119018555 17.855297088623047 17.859758377075195 17.860511779785156 17.861698150634766 17.862390518188477  degrees_north	53 options
longitude	= (ANY) -67.00457763671875 -67.00299835205078 -66.99974060058594 -66.9984130859375 -66.9970474243164 -66.9969253540039 -66.99640655517578 -66.99608612060547 -66.9960708618164 -66.99549865722656 -66.99360656738281 -66.99302673339844 -66.9921875 -66.99162292480469 -66.99114227294922 -66.99077606201172 -66.98943328857422 -66.98872375488281 -66.98871612548828 -66.98800659179688 -66.98749542236328 -66.98725891113281 -66.98543548583984 -66.9846420288086 -66.98406219482422 -66.98375701904297 -66.98360443115234 -66.98346710205078 -66.97856140136719 -66.97760772705078 -66.97666931152344 -66.97581481933594 -66.9717025756836 -66.97064971923828 -66.97061157226562 -66.9695816040039 -66.96858215332031 -66.96654510498047 -66.95442962646484 -66.95309448242188 -66.95226287841797 -66.95130920410156 -66.95044708251953 -66.95032501220703 -66.93704986572266 -66.92298889160156 -66.90777587890625 -66.89408874511719 -66.8779067993164 -66.86297607421875 -66.84739685058594 -66.8326644897461 -66.81938171386719 -66.8102035522461  degrees_east	54 options
time_uv	= (ANY) 2019-09-09T12:33:04Z 2019-09-09T12:39:28Z 2019-09-09T13:07:12Z 2019-09-09T13:13:36Z 2019-09-09T13:56:16Z 2019-09-09T14:38:56Z 2019-09-09T15:21:36Z 2019-09-09T15:28:00Z 2019-09-09T19:33:20Z 2019-09-09T19:37:36Z 2019-09-09T19:41:52Z 2019-09-09T19:48:16Z 2019-09-09T20:03:12Z 2019-09-09T20:07:28Z 2019-09-09T20:13:52Z 2019-09-09T20:18:08Z 2019-09-09T20:33:04Z 2019-09-09T20:37:20Z 2019-09-09T20:43:44Z 2019-09-09T20:48:00Z 2019-09-10T01:18:56Z 2019-09-10T01:23:12Z 2019-09-10T01:29:36Z 2019-09-10T01:36:00Z 2019-09-10T01:50:56Z 2019-09-10T01:55:12Z 2019-09-10T01:59:28Z 2019-09-10T02:05:52Z 2019-09-10T02:20:48Z 2019-09-10T02:25:04Z 2019-09-10T02:29:20Z 2019-09-10T02:35:44Z 2019-09-10T03:39:44Z 2019-09-10T03:44:00Z 2019-09-10T03:50:24Z 2019-09-10T03:54:40Z 2019-09-10T04:48:00Z 2019-09-10T06:06:56Z 2019-09-10T07:42:56Z 2019-09-10T09:04:00Z 2019-09-10T10:46:24Z 2019-09-10T12:11:44Z 2019-09-10T13:56:16Z 2019-09-10T15:28:00Z 2019-09-10T17:16:48Z 2019-09-10T18:46:24Z 2019-09-10T20:35:12Z 2019-09-10T22:02:40Z 2019-09-10T23:55:44Z 2019-09-11T01:27:28Z 2019-09-11T03:16:16Z 2019-09-11T04:45:52Z 2019-09-11T06:34:40Z 2019-09-11T08:04:16Z	54 options
lat_uv	= (ANY) 17.7023868560791 17.716400146484375 17.725269317626953 17.73274803161621 17.73863410949707 17.744552612304688 17.75100326538086 17.75844955444336 17.7659912109375 17.774106979370117 17.78141975402832 17.788476943969727 17.795618057250977 17.80272674560547 17.80769920349121 17.812551498413086 17.81536102294922 17.815366744995117 17.815387725830078 17.815746307373047 17.816226959228516 17.81634521484375 17.816425323486328 17.81642723083496 17.81755828857422 17.817665100097656 17.817676544189453 17.817710876464844 17.819896697998047 17.821008682250977 17.821029663085938 17.821096420288086 17.821147918701172 17.821727752685547 17.821775436401367 17.8218936920166 17.821975708007812 17.823816299438477 17.823850631713867 17.82391357421875 17.824159622192383 17.826446533203125 17.826650619506836 17.8267822265625 17.827285766601562 17.842918395996094 17.843460083007812 17.847700119018555 17.855297088623047 17.859758377075195 17.860511779785156 17.861698150634766 17.862390518188477  degrees_north	53 options
lon_uv	= (ANY) -67.00457763671875 -67.00299835205078 -66.99974060058594 -66.9984130859375 -66.9970474243164 -66.9969253540039 -66.99640655517578 -66.99608612060547 -66.9960708618164 -66.99549865722656 -66.99360656738281 -66.99302673339844 -66.9921875 -66.99162292480469 -66.99114227294922 -66.99077606201172 -66.98943328857422 -66.98872375488281 -66.98871612548828 -66.98800659179688 -66.98749542236328 -66.98725891113281 -66.98543548583984 -66.9846420288086 -66.98406219482422 -66.98375701904297 -66.98360443115234 -66.98346710205078 -66.97856140136719 -66.97760772705078 -66.97666931152344 -66.97581481933594 -66.9717025756836 -66.97064971923828 -66.97061157226562 -66.9695816040039 -66.96858215332031 -66.96654510498047 -66.95442962646484 -66.95309448242188 -66.95226287841797 -66.95130920410156 -66.95044708251953 -66.95032501220703 -66.93704986572266 -66.92298889160156 -66.90777587890625 -66.89408874511719 -66.8779067993164 -66.86297607421875 -66.84739685058594 -66.8326644897461 -66.81938171386719 -66.8102035522461  degrees_east	54 options
u	= (ANY) -0.019301800057291985 -0.01821170002222061 -0.014024999924004078 -0.005255389958620071 -0.002283710055053234 -8.205160265788436E-4 0.03825850039720535 0.07103150337934494 0.10136199742555618 0.21995000541210175 0.22842499613761902 0.23503099381923676 0.24708299338817596 0.5316849946975708 0.5528540015220642  m s-1	16 options
v	= (ANY) -0.1615779995918274 -0.16128699481487274 -0.0399773009121418 -0.01945439912378788 -0.015493299812078476 0.0012890700018033385 0.016824500635266304 0.024883100762963295 0.032990798354148865 0.033863600343465805 0.036594901233911514 0.046348199248313904 0.052266500890254974 0.06666409969329834 0.06901440024375916  m s-1	16 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)
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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	UTC	degrees_north	degrees_east	m s-1	m s-1
ng282-20190901T0000	4802965		2019-09-09T12:34:08Z	17.862390518188477	-67.00457763671875	2019-09-09T12:33:04Z	17.862390518188477	-67.00457763671875
ng282-20190901T0000	4802965		2019-09-09T12:40:13Z	17.861698150634766	-67.00299835205078	2019-09-09T12:39:28Z	17.861698150634766	-67.00299835205078
ng282-20190901T0000	4802965		2019-09-09T13:07:30Z	17.860511779785156	-66.9970474243164	2019-09-09T13:07:12Z	17.860511779785156	-66.9970474243164	0.5528540015220642	-0.1615779995918274
ng282-20190901T0000	4802965		2019-09-09T13:13:35Z	17.859758377075195	-66.99549865722656	2019-09-09T13:13:36Z	17.859758377075195	-66.99549865722656	0.5528540015220642	-0.1615779995918274
ng282-20190901T0000	4802965		2019-09-09T13:56:12Z	17.855297088623047	-66.99077606201172	2019-09-09T13:56:16Z	17.855297088623047	-66.99077606201172	0.5316849946975708	-0.16128699481487274
ng282-20190901T0000	4802965		2019-09-09T14:38:20Z	17.847700119018555	-66.99114227294922	2019-09-09T14:38:56Z	17.847700119018555	-66.99114227294922	0.5316849946975708	-0.16128699481487274
ng282-20190901T0000	4802965		2019-09-09T15:21:27Z	17.843460083007812	-66.98871612548828	2019-09-09T15:21:36Z	17.843460083007812	-66.98871612548828	0.10136199742555618	-0.01945439912378788
ng282-20190901T0000	4802965		2019-09-09T15:28:05Z	17.842918395996094	-66.98749542236328	2019-09-09T15:28:00Z	17.842918395996094	-66.98749542236328	0.10136199742555618	-0.01945439912378788
ng282-20190901T0000	4802965		2019-09-09T19:33:00Z	17.821975708007812	-66.9969253540039	2019-09-09T19:33:20Z	17.821975708007812	-66.9969253540039
ng282-20190901T0000	4802965		2019-09-09T19:37:53Z	17.8218936920166	-66.99640655517578	2019-09-09T19:37:36Z	17.8218936920166	-66.99640655517578
ng282-20190901T0000	4802965		2019-09-09T19:42:51Z	17.821727752685547	-66.99608612060547	2019-09-09T19:41:52Z	17.821727752685547	-66.99608612060547
ng282-20190901T0000	4802965		2019-09-09T19:48:24Z	17.821775436401367	-66.9960708618164	2019-09-09T19:48:16Z	17.821775436401367	-66.9960708618164
ng282-20190901T0000	4802965		2019-09-09T20:02:53Z	17.823850631713867	-66.99360656738281	2019-09-09T20:03:12Z	17.823850631713867	-66.99360656738281	0.23503099381923676	0.052266500890254974
ng282-20190901T0000	4802965		2019-09-09T20:07:34Z	17.823816299438477	-66.99302673339844	2019-09-09T20:07:28Z	17.823816299438477	-66.99302673339844	0.23503099381923676	0.052266500890254974
ng282-20190901T0000	4802965		2019-09-09T20:13:20Z	17.82391357421875	-66.9921875	2019-09-09T20:13:52Z	17.82391357421875	-66.9921875	0.23503099381923676	0.052266500890254974
ng282-20190901T0000	4802965		2019-09-09T20:18:00Z	17.824159622192383	-66.99162292480469	2019-09-09T20:18:08Z	17.824159622192383	-66.99162292480469	0.23503099381923676	0.052266500890254974
ng282-20190901T0000	4802965		2019-09-09T20:32:54Z	17.826446533203125	-66.98943328857422	2019-09-09T20:33:04Z	17.826446533203125	-66.98943328857422	0.24708299338817596	0.036594901233911514
ng282-20190901T0000	4802965		2019-09-09T20:37:38Z	17.826650619506836	-66.98872375488281	2019-09-09T20:37:20Z	17.826650619506836	-66.98872375488281	0.24708299338817596	0.036594901233911514
ng282-20190901T0000	4802965		2019-09-09T20:42:43Z	17.8267822265625	-66.98800659179688	2019-09-09T20:43:44Z	17.8267822265625	-66.98800659179688	0.24708299338817596	0.036594901233911514
ng282-20190901T0000	4802965		2019-09-09T20:48:35Z	17.827285766601562	-66.98725891113281	2019-09-09T20:48:00Z	17.827285766601562	-66.98725891113281	0.24708299338817596	0.036594901233911514
ng282-20190901T0000	4802965		2019-09-10T01:19:15Z	17.815387725830078	-66.98543548583984	2019-09-10T01:18:56Z	17.815387725830078	-66.98543548583984
ng282-20190901T0000	4802965		2019-09-10T01:23:47Z	17.81536102294922	-66.9846420288086	2019-09-10T01:23:12Z	17.81536102294922	-66.9846420288086
ng282-20190901T0000	4802965		2019-09-10T01:29:44Z	17.815366744995117	-66.98375701904297	2019-09-10T01:29:36Z	17.815366744995117	-66.98375701904297
ng282-20190901T0000	4802965		2019-09-10T01:35:14Z	17.815366744995117	-66.98360443115234	2019-09-10T01:36:00Z	17.815366744995117	-66.98360443115234
ng282-20190901T0000	4802965		2019-09-10T01:50:40Z	17.81634521484375	-66.97856140136719	2019-09-10T01:50:56Z	17.81634521484375	-66.97856140136719	0.21995000541210175	0.0012890700018033385
ng282-20190901T0000	4802965		2019-09-10T01:55:31Z	17.81642723083496	-66.97760772705078	2019-09-10T01:55:12Z	17.81642723083496	-66.97760772705078	0.21995000541210175	0.0012890700018033385
ng282-20190901T0000	4802965		2019-09-10T02:00:29Z	17.816226959228516	-66.97666931152344	2019-09-10T01:59:28Z	17.816226959228516	-66.97666931152344	0.21995000541210175	0.0012890700018033385
ng282-20190901T0000	4802965		2019-09-10T02:05:34Z	17.816425323486328	-66.97581481933594	2019-09-10T02:05:52Z	17.816425323486328	-66.97581481933594	0.21995000541210175	0.0012890700018033385
ng282-20190901T0000	4802965		2019-09-10T02:20:27Z	17.81755828857422	-66.9717025756836	2019-09-10T02:20:48Z	17.81755828857422	-66.9717025756836	0.22842499613761902	0.046348199248313904
ng282-20190901T0000	4802965		2019-09-10T02:25:27Z	17.817665100097656	-66.97061157226562	2019-09-10T02:25:04Z	17.817665100097656	-66.97061157226562	0.22842499613761902	0.046348199248313904
ng282-20190901T0000	4802965		2019-09-10T02:30:18Z	17.817710876464844	-66.9695816040039	2019-09-10T02:29:20Z	17.817710876464844	-66.9695816040039	0.22842499613761902	0.046348199248313904
ng282-20190901T0000	4802965		2019-09-10T02:34:58Z	17.817676544189453	-66.96858215332031	2019-09-10T02:35:44Z	17.817676544189453	-66.96858215332031	0.22842499613761902	0.046348199248313904
ng282-20190901T0000	4802965		2019-09-10T03:39:33Z	17.821029663085938	-66.95226287841797	2019-09-10T03:39:44Z	17.821029663085938	-66.95226287841797
ng282-20190901T0000	4802965		2019-09-10T03:44:40Z	17.821008682250977	-66.95130920410156	2019-09-10T03:44:00Z	17.821008682250977	-66.95130920410156
ng282-20190901T0000	4802965		2019-09-10T03:50:38Z	17.821096420288086	-66.95044708251953	2019-09-10T03:50:24Z	17.821096420288086	-66.95044708251953
ng282-20190901T0000	4802965		2019-09-10T03:55:40Z	17.821147918701172	-66.95032501220703	2019-09-10T03:54:40Z	17.821147918701172	-66.95032501220703
ng282-20190901T0000	4802965		2019-09-10T04:48:59Z	17.819896697998047	-66.95442962646484	2019-09-10T04:48:00Z	17.819896697998047	-66.95442962646484
ng282-20190901T0000	4802965		2019-09-10T06:06:25Z	17.815746307373047	-66.97064971923828	2019-09-10T06:06:56Z	17.815746307373047	-66.97064971923828
ng282-20190901T0000	4802965		2019-09-10T07:44:23Z	17.812551498413086	-66.98346710205078	2019-09-10T07:42:56Z	17.812551498413086	-66.98346710205078	-0.01821170002222061	-0.015493299812078476
ng282-20190901T0000	4802965		2019-09-10T09:03:28Z	17.80769920349121	-66.99974060058594	2019-09-10T09:04:00Z	17.80769920349121	-66.99974060058594	-0.01821170002222061	-0.015493299812078476
ng282-20190901T0000	4802965		2019-09-10T10:46:22Z	17.80272674560547	-66.9984130859375	2019-09-10T10:46:24Z	17.80272674560547	-66.9984130859375	-0.019301800057291985	-0.0399773009121418
ng282-20190901T0000	4802965		2019-09-10T12:11:11Z	17.795618057250977	-66.98406219482422	2019-09-10T12:11:44Z	17.795618057250977	-66.98406219482422	-0.019301800057291985	-0.0399773009121418
ng282-20190901T0000	4802965		2019-09-10T13:57:02Z	17.788476943969727	-66.96654510498047	2019-09-10T13:56:16Z	17.788476943969727	-66.96654510498047	-8.205160265788436E-4	0.024883100762963295
ng282-20190901T0000	4802965		2019-09-10T15:27:00Z	17.78141975402832	-66.95309448242188	2019-09-10T15:28:00Z	17.78141975402832	-66.95309448242188	-8.205160265788436E-4	0.024883100762963295
ng282-20190901T0000	4802965		2019-09-10T17:15:45Z	17.774106979370117	-66.93704986572266	2019-09-10T17:16:48Z	17.774106979370117	-66.93704986572266	-0.014024999924004078	0.032990798354148865
ng282-20190901T0000	4802965		2019-09-10T18:47:29Z	17.7659912109375	-66.92298889160156	2019-09-10T18:46:24Z	17.7659912109375	-66.92298889160156	-0.014024999924004078	0.032990798354148865
ng282-20190901T0000	4802965		2019-09-10T20:33:12Z	17.75844955444336	-66.90777587890625	2019-09-10T20:35:12Z	17.75844955444336	-66.90777587890625	-0.005255389958620071	0.016824500635266304
ng282-20190901T0000	4802965		2019-09-10T22:03:30Z	17.75100326538086	-66.89408874511719	2019-09-10T22:02:40Z	17.75100326538086	-66.89408874511719	-0.005255389958620071	0.016824500635266304
ng282-20190901T0000	4802965		2019-09-10T23:54:55Z	17.744552612304688	-66.8779067993164	2019-09-10T23:55:44Z	17.744552612304688	-66.8779067993164	-0.002283710055053234	0.033863600343465805
ng282-20190901T0000	4802965		2019-09-11T01:26:18Z	17.73863410949707	-66.86297607421875	2019-09-11T01:27:28Z	17.73863410949707	-66.86297607421875	-0.002283710055053234	0.033863600343465805
ng282-20190901T0000	4802965		2019-09-11T03:14:05Z	17.73274803161621	-66.84739685058594	2019-09-11T03:16:16Z	17.73274803161621	-66.84739685058594	0.03825850039720535	0.06901440024375916
ng282-20190901T0000	4802965		2019-09-11T04:45:11Z	17.725269317626953	-66.8326644897461	2019-09-11T04:45:52Z	17.725269317626953	-66.8326644897461	0.03825850039720535	0.06901440024375916
ng282-20190901T0000	4802965		2019-09-11T06:34:15Z	17.716400146484375	-66.81938171386719	2019-09-11T06:34:40Z	17.716400146484375	-66.81938171386719	0.07103150337934494	0.06666409969329834
ng282-20190901T0000	4802965		2019-09-11T08:04:51Z	17.7023868560791	-66.8102035522461	2019-09-11T08:04:16Z	17.7023868560791	-66.8102035522461	0.07103150337934494	0.06666409969329834

In total, there are 54 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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