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Dataset Title:	Glider - ru01-20140120T1444
Institution:	Rutgers University   (Dataset ID: ru01_20140120t1444)
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: 37)
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) ru01-20140120T1444	1 option: ru01-20140120T1444
wmo_id	= (ANY) NaN	1 option:
time	= (ANY) 2014-01-20T15:23:26Z 2014-01-20T15:26:31Z 2014-01-20T15:29:36Z 2014-01-20T15:32:34Z 2014-01-20T15:35:45Z 2014-01-20T15:38:57Z 2014-01-20T15:42:09Z 2014-01-20T15:45:15Z 2014-01-20T15:48:18Z 2014-01-20T15:51:27Z 2014-01-20T15:54:27Z 2014-01-20T15:57:25Z 2014-01-20T16:00:28Z 2014-01-20T16:03:26Z 2014-01-20T16:06:30Z 2014-01-20T16:09:33Z 2014-01-20T16:12:30Z 2014-01-20T16:15:39Z 2014-01-20T16:18:46Z 2014-01-20T16:41:32Z 2014-01-20T16:52:21Z 2014-01-20T17:02:53Z 2014-01-20T19:36:36Z 2014-01-20T19:52:58Z 2014-01-20T20:09:11Z 2014-01-20T20:25:57Z 2014-01-20T20:42:10Z 2014-01-20T20:56:52Z 2014-01-20T23:16:53Z 2014-01-20T23:37:31Z 2014-01-20T23:55:17Z 2014-01-21T00:08:36Z 2014-01-21T00:25:44Z 2014-01-21T00:45:59Z 2014-01-21T01:03:17Z 2014-01-21T02:46:15Z 2014-01-21T02:55:32Z	37 options
latitude	= (ANY) -64.8206825059805 -64.82053570504488 -64.82039248447141 -64.8200691124845 -64.81950348962424 -64.81949119855733 -64.81947874176905 -64.81946709082754 -64.81945502302406 -64.81944289674446 -64.81943113333912 -64.81941905595045 -64.81940734993569 -64.81940708995413 -64.81939549703313 -64.81938298845965 -64.81937094123602 -64.81935862657417 -64.81934600471266 -64.81933335254791 -64.8193207925616 -64.81930901493276 -64.81929677558072 -64.81928463074449 -64.81875251491016 -64.8180754926633 -64.81741980795908 -64.81682564363658 -64.81563312459292 -64.81498721478287 -64.81443134809436 -64.81401346081371 -64.81347695326282 -64.81284336594659 -64.8123018421047 -64.80979184015641 -64.80978032268608  degrees_north	37 options
longitude	= (ANY) -64.01727531197382 -64.01685567692138 -64.01679413503005 -64.01673176336486 -64.01667342660843 -64.0166130026065 -64.01655228581207 -64.01649338594443 -64.01643291394906 -64.01637430143869 -64.01631495345462 -64.0162523224986 -64.01619200154082 -64.01613034150867 -64.0160671433147 -64.01600379339128 -64.01594090500903 -64.0158819339238 -64.01582065097087 -64.01575984126285 -64.01534202230711 -64.01204788708694 -64.01099210122439 -64.01056787554916 -64.00990992183607 -64.00951598845153 -64.00835518788763 -64.00715661210762 -64.00599777604609 -64.00482578186252 -64.00436315859746 -64.002112621247 -63.9994794741726 -63.99724978419694 -63.995513072236015 -63.99320292696174 -63.99051856841649  degrees_east	37 options
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	37 options
time_uv	= (ANY) NaN	1 option: NaN
lat_uv	= (ANY)  degrees_north	1 option:
lon_uv	= (ANY)  degrees_east	1 option:
u	= (ANY)  m s-1	1 option:
v	= (ANY)  m s-1	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	time	latitude	longitude	profile_id	time_uv	lat_uv	lon_uv	u	v
		UTC	degrees_north	degrees_east		UTC	degrees_north	degrees_east	m s-1	m s-1
ru01-20140120T1444		2014-01-20T15:23:26Z	-64.81928463074449	-64.01575984126285	1
ru01-20140120T1444		2014-01-20T15:26:31Z	-64.81929677558072	-64.01582065097087	2
ru01-20140120T1444		2014-01-20T15:29:36Z	-64.81930901493276	-64.0158819339238	3
ru01-20140120T1444		2014-01-20T15:32:34Z	-64.8193207925616	-64.01594090500903	4
ru01-20140120T1444		2014-01-20T15:35:45Z	-64.81933335254791	-64.01600379339128	5
ru01-20140120T1444		2014-01-20T15:38:57Z	-64.81934600471266	-64.0160671433147	6
ru01-20140120T1444		2014-01-20T15:42:09Z	-64.81935862657417	-64.01613034150867	7
ru01-20140120T1444		2014-01-20T15:45:15Z	-64.81937094123602	-64.01619200154082	8
ru01-20140120T1444		2014-01-20T15:48:18Z	-64.81938298845965	-64.0162523224986	9
ru01-20140120T1444		2014-01-20T15:51:27Z	-64.81939549703313	-64.01631495345462	10
ru01-20140120T1444		2014-01-20T15:54:27Z	-64.81940734993569	-64.01637430143869	11
ru01-20140120T1444		2014-01-20T15:57:25Z	-64.81941905595045	-64.01643291394906	12
ru01-20140120T1444		2014-01-20T16:00:28Z	-64.81943113333912	-64.01649338594443	13
ru01-20140120T1444		2014-01-20T16:03:26Z	-64.81944289674446	-64.01655228581207	14
ru01-20140120T1444		2014-01-20T16:06:30Z	-64.81945502302406	-64.0166130026065	15
ru01-20140120T1444		2014-01-20T16:09:33Z	-64.81946709082754	-64.01667342660843	16
ru01-20140120T1444		2014-01-20T16:12:30Z	-64.81947874176905	-64.01673176336486	17
ru01-20140120T1444		2014-01-20T16:15:39Z	-64.81949119855733	-64.01679413503005	18
ru01-20140120T1444		2014-01-20T16:18:46Z	-64.81950348962424	-64.01685567692138	19
ru01-20140120T1444		2014-01-20T16:41:32Z	-64.8206825059805	-64.00990992183607	20
ru01-20140120T1444		2014-01-20T16:52:21Z	-64.82053570504488	-64.01099210122439	21
ru01-20140120T1444		2014-01-20T17:02:53Z	-64.82039248447141	-64.01204788708694	22
ru01-20140120T1444		2014-01-20T19:36:36Z	-64.8200691124845	-64.00482578186252	23
ru01-20140120T1444		2014-01-20T19:52:58Z	-64.81940708995413	-64.00599777604609	24
ru01-20140120T1444		2014-01-20T20:09:11Z	-64.81875251491016	-64.00715661210762	25
ru01-20140120T1444		2014-01-20T20:25:57Z	-64.8180754926633	-64.00835518788763	26
ru01-20140120T1444		2014-01-20T20:42:10Z	-64.81741980795908	-64.00951598845153	27
ru01-20140120T1444		2014-01-20T20:56:52Z	-64.81682564363658	-64.01056787554916	28
ru01-20140120T1444		2014-01-20T23:16:53Z	-64.81563312459292	-63.99051856841649	29
ru01-20140120T1444		2014-01-20T23:37:31Z	-64.81498721478287	-63.99320292696174	30
ru01-20140120T1444		2014-01-20T23:55:17Z	-64.81443134809436	-63.995513072236015	31
ru01-20140120T1444		2014-01-21T00:08:36Z	-64.81401346081371	-63.99724978419694	32
ru01-20140120T1444		2014-01-21T00:25:44Z	-64.81347695326282	-63.9994794741726	33
ru01-20140120T1444		2014-01-21T00:45:59Z	-64.81284336594659	-64.002112621247	34
ru01-20140120T1444		2014-01-21T01:03:17Z	-64.8123018421047	-64.00436315859746	35
ru01-20140120T1444		2014-01-21T02:46:15Z	-64.80978032268608	-64.01534202230711	36
ru01-20140120T1444		2014-01-21T02:55:32Z	-64.80979184015641	-64.01727531197382	37

In total, there are 37 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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