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Dataset Title:	Glider - ng428-20200729T2120
Institution:	Naval Oceanographic Office   (Dataset ID: ng428_20200729t2120)
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: 12)
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) ng428-20200729T2120	1 option: ng428-20200729T2120
wmo_id	= (ANY) 4802979	1 option: 4802979
profile_id	= (ANY)	1 option:
time	= (ANY) 2020-07-27T21:36:56Z 2020-07-27T22:00:22Z 2020-07-27T22:42:01Z 2020-07-27T23:04:48Z 2020-07-27T23:58:51Z 2020-07-28T00:46:15Z 2020-07-28T01:45:50Z 2020-07-28T02:34:28Z 2020-07-28T03:36:43Z 2020-07-28T04:25:50Z 2020-07-28T05:28:13Z 2020-07-28T06:18:05Z	12 options
latitude	= (ANY) 18.113224029541016 18.115806579589844 18.123699188232422 18.126718521118164 18.13410186767578 18.137680053710938 18.14609718322754 18.150094985961914 18.15571403503418 18.155929565429688 18.159116744995117 18.160341262817383  degrees_north	12 options
longitude	= (ANY) -64.78187561035156 -64.7800521850586 -64.77989959716797 -64.77983856201172 -64.77525329589844 -64.76909637451172 -64.7690200805664 -64.76488494873047 -64.76289367675781 -64.75859069824219 -64.75497436523438 -64.7489013671875  degrees_east	12 options
lat_uv	= (ANY) 18.113224029541016 18.115806579589844 18.123699188232422 18.126718521118164 18.13410186767578 18.137680053710938 18.14609718322754 18.150094985961914 18.15571403503418 18.155929565429688 18.159116744995117 18.160341262817383  degrees_north	12 options
lon_uv	= (ANY) -64.78187561035156 -64.7800521850586 -64.77989959716797 -64.77983856201172 -64.77525329589844 -64.76909637451172 -64.7690200805664 -64.76488494873047 -64.76289367675781 -64.75859069824219 -64.75497436523438 -64.7489013671875  degrees_east	12 options
time_uv	= (ANY) 2020-07-27T21:37:04Z 2020-07-27T22:00:32Z 2020-07-27T22:43:12Z 2020-07-27T23:04:32Z 2020-07-28T00:00:00Z 2020-07-28T00:46:56Z 2020-07-28T01:46:40Z 2020-07-28T02:33:36Z 2020-07-28T03:37:36Z 2020-07-28T04:24:32Z 2020-07-28T05:28:32Z 2020-07-28T06:17:36Z	12 options
u	= (ANY) -0.153562992811203 -0.14698000252246857 -0.12916399538516998 -0.12077900022268295 -0.06612759828567505  m s-1	6 options
v	= (ANY) -0.07443320006132126 -0.06694280356168747 -0.047222498804330826 -0.036236200481653214 -0.03247949853539467  m s-1	6 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
ng428-20200729T2120	4802979		2020-07-27T21:36:56Z	18.160341262817383	-64.78187561035156	18.160341262817383	-64.78187561035156	2020-07-27T21:37:04Z
ng428-20200729T2120	4802979		2020-07-27T22:00:22Z	18.159116744995117	-64.7800521850586	18.159116744995117	-64.7800521850586	2020-07-27T22:00:32Z
ng428-20200729T2120	4802979		2020-07-27T22:42:01Z	18.155929565429688	-64.77989959716797	18.155929565429688	-64.77989959716797	2020-07-27T22:43:12Z	-0.153562992811203	-0.047222498804330826
ng428-20200729T2120	4802979		2020-07-27T23:04:48Z	18.15571403503418	-64.77983856201172	18.15571403503418	-64.77983856201172	2020-07-27T23:04:32Z	-0.153562992811203	-0.047222498804330826
ng428-20200729T2120	4802979		2020-07-27T23:58:51Z	18.150094985961914	-64.77525329589844	18.150094985961914	-64.77525329589844	2020-07-28T00:00:00Z	-0.12077900022268295	-0.07443320006132126
ng428-20200729T2120	4802979		2020-07-28T00:46:15Z	18.14609718322754	-64.7690200805664	18.14609718322754	-64.7690200805664	2020-07-28T00:46:56Z	-0.12077900022268295	-0.07443320006132126
ng428-20200729T2120	4802979		2020-07-28T01:45:50Z	18.137680053710938	-64.76909637451172	18.137680053710938	-64.76909637451172	2020-07-28T01:46:40Z	-0.14698000252246857	-0.036236200481653214
ng428-20200729T2120	4802979		2020-07-28T02:34:28Z	18.13410186767578	-64.76289367675781	18.13410186767578	-64.76289367675781	2020-07-28T02:33:36Z	-0.14698000252246857	-0.036236200481653214
ng428-20200729T2120	4802979		2020-07-28T03:36:43Z	18.126718521118164	-64.76488494873047	18.126718521118164	-64.76488494873047	2020-07-28T03:37:36Z	-0.12916399538516998	-0.03247949853539467
ng428-20200729T2120	4802979		2020-07-28T04:25:50Z	18.123699188232422	-64.75859069824219	18.123699188232422	-64.75859069824219	2020-07-28T04:24:32Z	-0.12916399538516998	-0.03247949853539467
ng428-20200729T2120	4802979		2020-07-28T05:28:13Z	18.115806579589844	-64.75497436523438	18.115806579589844	-64.75497436523438	2020-07-28T05:28:32Z	-0.06612759828567505	-0.06694280356168747
ng428-20200729T2120	4802979		2020-07-28T06:18:05Z	18.113224029541016	-64.7489013671875	18.113224029541016	-64.7489013671875	2020-07-28T06:17:36Z	-0.06612759828567505	-0.06694280356168747

In total, there are 12 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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