ERDDAP > tabledap > Subset

Dataset Title:	ru33-20230113T1558 Real Time Science Profiles
Institution:	Rutgers University   (Dataset ID: ru33-20230113T1558-profile-sci-rt)
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: 23)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

source_file	= (ANY) ru33-2023-012-2-0-sbd(02380000) ru33-2023-012-3-0-sbd(02390000) ru33-2023-012-3-2-sbd(02390002) ru33-2023-012-3-4-sbd(02390004) ru33-2023-012-3-6-sbd(02390006)	5 options
profile_id	= (ANY) 1.673625554E9 1.673625696E9 1.673625851E9 1.673625965E9 1.67362608E9 1.67362617E9 1.673626251E9 1.673628992E9 1.673629375E9 1.673629733E9 1.673630099E9 1.673631459E9 1.673632045E9 1.673632623E9 1.6736332E9 1.673634484E9 1.673635078E9 1.673635655E9 1.673636223E9 1.673637683E9 1.673638342E9 1.673638968E9 1.673639586E9	23 options
profile_lat	= (ANY) -66.6687426867591 -66.66824666666665 -66.66824293756106 -66.66750326710363 -66.6663801675919 -66.66628464014285 -66.66623395368991 -66.6661786932555 -66.6660402105051 -66.6659825147928 -66.66591515113875 -66.66576018396617 -66.664995114031 -66.66490693823823 -66.66385842381916 -66.66290520885069 -66.66274973727263 -66.66248189526199 -66.66207128066601 -66.66161662710492 -66.66156780705519  degree_north	21 options
profile_lon	= (ANY) -69.49463772062127 -69.49462333333331 -69.49303000840139 -69.49253182215938 -69.49202162008478 -69.49148358420055 -69.48965103623276 -69.48907686194626 -69.48851683310096 -69.48791760930023 -69.48764552122441 -69.48746372159297 -69.48735429276203 -69.487220482063 -69.4870723086461 -69.48695894786822 -69.4868567356541 -69.48677314743252 -69.48593953277661 -69.48513092574318 -69.48422129714652  degree_east	21 options
profile_time	= (ANY) 2023-01-13T15:59:29Z 2023-01-13T16:01:29Z 2023-01-13T16:04:16Z 2023-01-13T16:06:02Z 2023-01-13T16:08:00Z 2023-01-13T16:09:30Z 2023-01-13T16:10:51Z 2023-01-13T16:56:23Z 2023-01-13T17:03:02Z 2023-01-13T17:08:55Z 2023-01-13T17:14:59Z 2023-01-13T17:37:31Z 2023-01-13T17:47:35Z 2023-01-13T17:57:01Z 2023-01-13T18:06:42Z 2023-01-13T18:27:57Z 2023-01-13T18:38:02Z 2023-01-13T18:47:39Z 2023-01-13T18:57:03Z 2023-01-13T19:21:13Z 2023-01-13T19:32:29Z 2023-01-13T19:42:45Z 2023-01-13T19:53:07Z	23 options

View:      Map of All Related 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 All Related Data   (Refine the map and/or download the image)

To view the map, check View : Map of All 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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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)  

source_file	profile_id	profile_lat	profile_lon	profile_time
		degree_north	degree_east	UTC
ru33-2023-012-2-0-sbd(02380000)	1.673625554E9	-66.6659825147928	-69.48764552122441	2023-01-13T15:59:29Z
ru33-2023-012-2-0-sbd(02380000)	1.673625696E9	-66.66576018396617	-69.48746372159297	2023-01-13T16:01:29Z
ru33-2023-012-2-0-sbd(02380000)	1.673625851E9	-66.66591515113875	-69.48735429276203	2023-01-13T16:04:16Z
ru33-2023-012-2-0-sbd(02380000)	1.673625965E9	-66.6660402105051	-69.487220482063	2023-01-13T16:06:02Z
ru33-2023-012-2-0-sbd(02380000)	1.67362608E9	-66.6661786932555	-69.4870723086461	2023-01-13T16:08:00Z
ru33-2023-012-2-0-sbd(02380000)	1.67362617E9	-66.66628464014285	-69.48695894786822	2023-01-13T16:09:30Z
ru33-2023-012-2-0-sbd(02380000)	1.673626251E9	-66.6663801675919	-69.4868567356541	2023-01-13T16:10:51Z
ru33-2023-012-3-0-sbd(02390000)	1.673628992E9	-66.66161662710492	-69.48422129714652	2023-01-13T16:56:23Z
ru33-2023-012-3-0-sbd(02390000)	1.673629375E9	-66.66207128066601	-69.48513092574318	2023-01-13T17:03:02Z
ru33-2023-012-3-0-sbd(02390000)	1.673629733E9	-66.66248189526199	-69.48593953277661	2023-01-13T17:08:55Z
ru33-2023-012-3-0-sbd(02390000)	1.673630099E9	-66.66290520885069	-69.48677314743252	2023-01-13T17:14:59Z
ru33-2023-012-3-2-sbd(02390002)	1.673631459E9	-66.66156780705519	-69.48791760930023	2023-01-13T17:37:31Z
ru33-2023-012-3-2-sbd(02390002)	1.673632045E9	-66.66274973727263	-69.48851683310096	2023-01-13T17:47:35Z
ru33-2023-012-3-2-sbd(02390002)	1.673632623E9	-66.66385842381916	-69.48907686194626	2023-01-13T17:57:01Z
ru33-2023-012-3-2-sbd(02390002)	1.6736332E9	-66.664995114031	-69.48965103623276	2023-01-13T18:06:42Z
ru33-2023-012-3-4-sbd(02390004)	1.673634484E9	-66.66490693823823	-69.49148358420055	2023-01-13T18:27:57Z
ru33-2023-012-3-4-sbd(02390004)	1.673635078E9	-66.66623395368991	-69.49202162008478	2023-01-13T18:38:02Z
ru33-2023-012-3-4-sbd(02390004)	1.673635655E9	-66.66750326710363	-69.49253182215938	2023-01-13T18:47:39Z
ru33-2023-012-3-4-sbd(02390004)	1.673636223E9	-66.6687426867591	-69.49303000840139	2023-01-13T18:57:03Z
ru33-2023-012-3-6-sbd(02390006)	1.673637683E9	-66.66824293756106	-69.49463772062127	2023-01-13T19:21:13Z
ru33-2023-012-3-6-sbd(02390006)	1.673638342E9	-66.66824666666665	-69.49462333333331	2023-01-13T19:32:29Z
ru33-2023-012-3-6-sbd(02390006)	1.673638968E9	-66.66824666666665	-69.49462333333331	2023-01-13T19:42:45Z
ru33-2023-012-3-6-sbd(02390006)	1.673639586E9	-66.66824666666665	-69.49462333333331	2023-01-13T19:53:07Z

In total, there are 23 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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