ERDDAP > tabledap > Subset

Dataset Title:	ru01-20140120T1444
Institution:	Rutgers University   (Dataset ID: ru01-20140120T1444)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | 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.

wmo_id	= (ANY) NaN	1 option:
trajectory	= (ANY) ru01-20140120T1444	1 option: ru01-20140120T1444
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	= (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

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)  

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

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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