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Dataset Title:	Glider - sg249-20210426T1740
Institution:	University of Washington Applied Physics Laboratory   (Dataset ID: sg249_20210426t1740)
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: 36)
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) sg249-20210426T1712 sg249-20210426T1751 sg249-20210426T1854 sg249-20210426T1943 sg249-20210426T2104 sg249-20210426T2206 sg249-20210426T2332 sg249-20210427T0028 sg249-20210427T0122 sg249-20210427T0223 sg249-20210427T0320 sg249-20210427T0420 sg249-20210427T0516 sg249-20210427T0619 sg249-20210427T0715 sg249-20210427T0815 sg249-20210427T0921 sg249-20210427T1040 sg249-20210427T1226 sg249-20210427T1426 sg249-20210427T1627 sg249-20210427T1940 sg249-20210427T2249 sg249-20210428T0206 sg249-20210428T0712 sg249-20210428T1230 sg249-20210428T1740 sg249-20210428T2253 sg249-20210429T0410 sg249-20210429T1031 sg249-20210429T1649 sg249-20210429T2330 sg249-20210430T0619 sg249-20210430T1305 sg249-20210430T1946 sg249-20220303T1125	36 options
wmo_id	= (ANY) 4803951	1 option: 4803951
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 1215	36 options
time	= (ANY) 2021-04-26T17:27:43Z 2021-04-26T18:00:52Z 2021-04-26T19:13:45Z 2021-04-26T20:09:42Z 2021-04-26T21:32:01Z 2021-04-26T22:33:44Z 2021-04-27T00:00:20Z 2021-04-27T00:55:07Z 2021-04-27T01:50:11Z 2021-04-27T02:51:38Z 2021-04-27T03:49:04Z 2021-04-27T04:47:10Z 2021-04-27T05:45:16Z 2021-04-27T06:46:57Z 2021-04-27T07:44:18Z 2021-04-27T08:45:41Z 2021-04-27T09:38:27Z 2021-04-27T11:36:44Z 2021-04-27T13:29:03Z 2021-04-27T15:30:10Z 2021-04-27T18:06:22Z 2021-04-27T21:16:56Z 2021-04-28T00:29:50Z 2021-04-28T04:41:09Z 2021-04-28T09:55:28Z 2021-04-28T15:08:10Z 2021-04-28T20:17:54Z 2021-04-29T01:34:01Z 2021-04-29T07:18:02Z 2021-04-29T13:39:34Z 2021-04-29T20:08:48Z 2021-04-30T02:53:50Z 2021-04-30T09:37:40Z 2021-04-30T16:25:08Z 2021-04-30T23:02:44Z 2022-03-03T14:34:39Z	36 options
latitude	= (ANY) 47.034 47.0355 47.0443 47.0495 47.0506 47.0554 47.0578 47.0598 47.0615 47.0641 47.0759 47.0811 47.0816 47.0822 47.0823 47.0825 47.0829 47.0837 47.0838 47.0841 47.0843 47.085 47.0851 47.0853 47.0855 47.0858 47.086 47.0871 47.0889 47.0919 47.092 47.096 47.0981 47.7524  degrees_north	34 options
longitude	= (ANY) -126.0037 -125.9381 -125.8707 -125.8069 -125.7391 -125.6723 -125.6059 -125.5393 -125.4804 -125.4708 -125.403 -125.3312 -125.2537 -125.1962 -125.1483 -125.0974 -125.0573 -125.0295 -125.0047 -124.9852 -124.9737 -124.9614 -124.9495 -124.9383 -124.9282 -124.9208 -124.9133 -124.9063 -124.898 -124.8888 -124.8756 -124.8641 -124.8511 -124.8431 -124.8394 -124.8386  degrees_east	36 options
lat_uv	= (ANY) 47.034 47.0355 47.0443 47.0495 47.0506 47.0554 47.0578 47.0598 47.0615 47.0641 47.0759 47.0811 47.0816 47.0822 47.0823 47.0825 47.0829 47.0837 47.0838 47.0841 47.0843 47.085 47.0851 47.0853 47.0855 47.0858 47.086 47.0871 47.0889 47.0919 47.092 47.096 47.0981 47.7524  degrees_north	34 options
lon_uv	= (ANY) -126.0037 -125.9381 -125.8707 -125.8069 -125.7391 -125.6723 -125.6059 -125.5393 -125.4804 -125.4708 -125.403 -125.3312 -125.2537 -125.1962 -125.1483 -125.0974 -125.0573 -125.0295 -125.0047 -124.9852 -124.9737 -124.9614 -124.9495 -124.9383 -124.9282 -124.9208 -124.9133 -124.9063 -124.898 -124.8888 -124.8756 -124.8641 -124.8511 -124.8431 -124.8394 -124.8386  degrees_east	36 options
time_uv	= (ANY) 2021-04-26T17:27:43Z 2021-04-26T18:00:52Z 2021-04-26T19:13:45Z 2021-04-26T20:09:42Z 2021-04-26T21:32:01Z 2021-04-26T22:33:44Z 2021-04-27T00:00:20Z 2021-04-27T00:55:07Z 2021-04-27T01:50:11Z 2021-04-27T02:51:38Z 2021-04-27T03:49:04Z 2021-04-27T04:47:10Z 2021-04-27T05:45:16Z 2021-04-27T06:46:57Z 2021-04-27T07:44:18Z 2021-04-27T08:45:41Z 2021-04-27T09:38:27Z 2021-04-27T11:36:44Z 2021-04-27T13:29:03Z 2021-04-27T15:30:10Z 2021-04-27T18:06:22Z 2021-04-27T21:16:56Z 2021-04-28T00:29:50Z 2021-04-28T04:41:09Z 2021-04-28T09:55:28Z 2021-04-28T15:08:10Z 2021-04-28T20:17:54Z 2021-04-29T01:34:01Z 2021-04-29T07:18:02Z 2021-04-29T13:39:34Z 2021-04-29T20:08:48Z 2021-04-30T02:53:50Z 2021-04-30T09:37:40Z 2021-04-30T16:25:08Z 2021-04-30T23:02:44Z 2022-03-03T14:34:39Z	36 options
u	= (ANY) -0.1 -0.09 -0.08 -0.07 -0.06 -0.05 -0.04 -0.03 -0.02 -0.01 -0.0 0.0 0.01 0.02  m s-1	14 options
v	= (ANY) -0.04 -0.03 -0.01 -0.0 0.0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.5  m s-1	13 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
sg249-20210426T1712	4803951	1	2021-04-26T17:27:43Z	47.096	-124.8394	47.096	-124.8394	2021-04-26T17:27:43Z	-0.02	-0.04
sg249-20210426T1751	4803951	2	2021-04-26T18:00:52Z	47.0981	-124.8386	47.0981	-124.8386	2021-04-26T18:00:52Z	-0.08	0.5
sg249-20210426T1854	4803951	3	2021-04-26T19:13:45Z	47.092	-124.8431	47.092	-124.8431	2021-04-26T19:13:45Z	-0.05	-0.01
sg249-20210426T1943	4803951	4	2021-04-26T20:09:42Z	47.0919	-124.8511	47.0919	-124.8511	2021-04-26T20:09:42Z	-0.07	0.05
sg249-20210426T2104	4803951	5	2021-04-26T21:32:01Z	47.0889	-124.8641	47.0889	-124.8641	2021-04-26T21:32:01Z	-0.07	0.04
sg249-20210426T2206	4803951	6	2021-04-26T22:33:44Z	47.0871	-124.8756	47.0871	-124.8756	2021-04-26T22:33:44Z	-0.06	0.02
sg249-20210426T2332	4803951	7	2021-04-27T00:00:20Z	47.0858	-124.8888	47.0858	-124.8888	2021-04-27T00:00:20Z	-0.03	0.03
sg249-20210427T0028	4803951	8	2021-04-27T00:55:07Z	47.0851	-124.898	47.0851	-124.898	2021-04-27T00:55:07Z	-0.01	0.03
sg249-20210427T0122	4803951	9	2021-04-27T01:50:11Z	47.0853	-124.9063	47.0853	-124.9063	2021-04-27T01:50:11Z	0.0	0.03
sg249-20210427T0223	4803951	10	2021-04-27T02:51:38Z	47.085	-124.9133	47.085	-124.9133	2021-04-27T02:51:38Z	0.02	0.0
sg249-20210427T0320	4803951	11	2021-04-27T03:49:04Z	47.0843	-124.9208	47.0843	-124.9208	2021-04-27T03:49:04Z	0.0	0.01
sg249-20210427T0420	4803951	12	2021-04-27T04:47:10Z	47.0855	-124.9282	47.0855	-124.9282	2021-04-27T04:47:10Z	-0.0	0.02
sg249-20210427T0516	4803951	13	2021-04-27T05:45:16Z	47.086	-124.9383	47.086	-124.9383	2021-04-27T05:45:16Z	-0.05	0.04
sg249-20210427T0619	4803951	14	2021-04-27T06:46:57Z	47.085	-124.9495	47.085	-124.9495	2021-04-27T06:46:57Z	-0.06	0.01
sg249-20210427T0715	4803951	15	2021-04-27T07:44:18Z	47.0841	-124.9614	47.0841	-124.9614	2021-04-27T07:44:18Z	-0.07	0.02
sg249-20210427T0815	4803951	16	2021-04-27T08:45:41Z	47.0837	-124.9737	47.0837	-124.9737	2021-04-27T08:45:41Z	-0.07	0.03
sg249-20210427T0921	4803951	17	2021-04-27T09:38:27Z	47.0829	-124.9852	47.0829	-124.9852	2021-04-27T09:38:27Z	-0.06	0.06
sg249-20210427T1040	4803951	18	2021-04-27T11:36:44Z	47.0843	-125.0047	47.0843	-125.0047	2021-04-27T11:36:44Z	-0.07	0.01
sg249-20210427T1226	4803951	19	2021-04-27T13:29:03Z	47.0823	-125.0295	47.0823	-125.0295	2021-04-27T13:29:03Z	-0.06	-0.0
sg249-20210427T1426	4803951	20	2021-04-27T15:30:10Z	47.0811	-125.0573	47.0811	-125.0573	2021-04-27T15:30:10Z	-0.09	0.0
sg249-20210427T1627	4803951	21	2021-04-27T18:06:22Z	47.0822	-125.0974	47.0822	-125.0974	2021-04-27T18:06:22Z	-0.07	0.01
sg249-20210427T1940	4803951	22	2021-04-27T21:16:56Z	47.0838	-125.1483	47.0838	-125.1483	2021-04-27T21:16:56Z	-0.1	0.06
sg249-20210427T2249	4803951	23	2021-04-28T00:29:50Z	47.0816	-125.1962	47.0816	-125.1962	2021-04-28T00:29:50Z	-0.08	0.02
sg249-20210428T0206	4803951	24	2021-04-28T04:41:09Z	47.0825	-125.2537	47.0825	-125.2537	2021-04-28T04:41:09Z	-0.04	0.06
sg249-20210428T0712	4803951	25	2021-04-28T09:55:28Z	47.0759	-125.3312	47.0759	-125.3312	2021-04-28T09:55:28Z	-0.04	0.01
sg249-20210428T1230	4803951	26	2021-04-28T15:08:10Z	47.0641	-125.403	47.0641	-125.403	2021-04-28T15:08:10Z	-0.02	-0.03
sg249-20210428T1740	4803951	27	2021-04-28T20:17:54Z	47.0615	-125.4708	47.0615	-125.4708	2021-04-28T20:17:54Z	0.01	0.03
sg249-20210428T2253	4803951	28	2021-04-29T01:34:01Z	47.0598	-125.5393	47.0598	-125.5393	2021-04-29T01:34:01Z	-0.0	-0.01
sg249-20210429T0410	4803951	29	2021-04-29T07:18:02Z	47.0578	-125.6059	47.0578	-125.6059	2021-04-29T07:18:02Z	0.0	0.06
sg249-20210429T1031	4803951	30	2021-04-29T13:39:34Z	47.0554	-125.6723	47.0554	-125.6723	2021-04-29T13:39:34Z	0.01	-0.0
sg249-20210429T1649	4803951	31	2021-04-29T20:08:48Z	47.0495	-125.7391	47.0495	-125.7391	2021-04-29T20:08:48Z	-0.0	0.03
sg249-20210429T2330	4803951	32	2021-04-30T02:53:50Z	47.0506	-125.8069	47.0506	-125.8069	2021-04-30T02:53:50Z	0.0	0.03
sg249-20210430T0619	4803951	33	2021-04-30T09:37:40Z	47.0443	-125.8707	47.0443	-125.8707	2021-04-30T09:37:40Z	-0.01	0.04
sg249-20210430T1305	4803951	34	2021-04-30T16:25:08Z	47.0355	-125.9381	47.0355	-125.9381	2021-04-30T16:25:08Z	0.0	-0.01
sg249-20210430T1946	4803951	35	2021-04-30T23:02:44Z	47.034	-126.0037	47.034	-126.0037	2021-04-30T23:02:44Z	-0.01	0.05
sg249-20220303T1125	4803951	1215	2022-03-03T14:34:39Z	47.7524	-125.4804	47.7524	-125.4804	2022-03-03T14:34:39Z	-0.01	0.07

In total, there are 36 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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