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Dataset Title:	sylvia-20240721T1129 Real Time Science Profiles
Institution:	Virginia Institute of Marine Science   (Dataset ID: sylvia-20240721T1129-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: 31)
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) sylvia-2024-202-1-0-sbd(02300000) sylvia-2024-202-1-11-sbd(02300011) sylvia-2024-202-1-13-sbd(02300013) sylvia-2024-202-1-15-sbd(02300015) sylvia-2024-202-1-17-sbd(02300017) sylvia-2024-202-1-20-sbd(02300020) sylvia-2024-202-1-22-sbd(02300022) sylvia-2024-202-1-24-sbd(02300024) sylvia-2024-202-1-26-sbd(02300026) sylvia-2024-202-1-28-sbd(02300028) sylvia-2024-202-1-3-sbd(02300003) sylvia-2024-202-1-30-sbd(02300030) sylvia-2024-202-1-9-sbd(02300009)	13 options
profile_id	= (ANY) 1.721561817E9 1.721562548E9 1.72156547E9 1.721566571E9 1.721574392E9 1.721577143E9 1.721580575E9 1.721583459E9 1.721586836E9 1.721589657E9 1.721593767E9 1.721597377E9 1.721602006E9 1.721605825E9 1.721611453E9 1.721616687E9 1.721619703E9 1.721623242E9 1.72162867E9 1.721634972E9 1.721640236E9 1.721643292E9 1.721646854E9 1.721652014E9 1.721655006E9 1.721658442E9 1.721663597E9 1.721666619E9 1.721670499E9 1.721675934E9 1.721679215E9	31 options
profile_lat	= (ANY) 38.85492078593282 38.85808824099798 38.860303280596234 38.86559088942015 38.89467709807097 38.90840262517944 38.92230572754833 38.936223688645256 38.95031239832249 38.962417698860676 38.97707195339055 38.9928890007238 38.99669011275887 39.00385112670239 39.00926837538964 39.01606446898587 39.018144145973416 39.02074046423717 39.02452644802778 39.02560427162876 39.02593104196585 39.0271320563117 39.02910639082887 39.03313680309965 39.03367748106606 39.03458819014535 39.03658914124221 39.03759573194977 39.03806563425354 39.038157554837184 39.03994411966117  degree_north	31 options
profile_lon	= (ANY) -63.92341969977882 -63.911775429575094 -63.8918241844093 -63.882466472637844 -63.870938128347234 -63.84933523498831 -63.83408322544166 -63.8210596106466 -63.79975949119724 -63.799349043353864 -63.796986418004636 -63.792382657633475 -63.78823052326567 -63.78289774249521 -63.77059755221269 -63.76696902481432 -63.75807198253949 -63.749906736512 -63.74936909870374 -63.739162415360376 -63.73271528903986 -63.729218200458504 -63.72016854232865 -63.715135489018174 -63.71022895648252 -63.709995159094014 -63.70158409327323 -63.70071966193817 -63.69226670289336 -63.68425517676096 -63.682893601247365  degree_east	31 options
profile_time	= (ANY) 2024-07-21T11:36:39Z 2024-07-21T11:49:15Z 2024-07-21T12:37:36Z 2024-07-21T12:55:15Z 2024-07-21T15:07:55Z 2024-07-21T15:54:40Z 2024-07-21T16:51:14Z 2024-07-21T17:39:52Z 2024-07-21T18:35:46Z 2024-07-21T19:22:06Z 2024-07-21T20:31:10Z 2024-07-21T21:31:59Z 2024-07-21T22:47:37Z 2024-07-21T23:47:40Z 2024-07-22T01:26:58Z 2024-07-22T02:53:07Z 2024-07-22T03:41:38Z 2024-07-22T04:40:37Z 2024-07-22T06:15:08Z 2024-07-22T07:58:57Z 2024-07-22T09:24:02Z 2024-07-22T10:14:36Z 2024-07-22T11:20:45Z 2024-07-22T12:41:01Z 2024-07-22T13:30:05Z 2024-07-22T14:31:05Z 2024-07-22T15:57:23Z 2024-07-22T16:43:26Z 2024-07-22T17:52:29Z 2024-07-22T19:21:01Z 2024-07-22T20:13:10Z	31 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
sylvia-2024-202-1-0-sbd(02300000)	1.721561817E9	38.85492078593282	-63.799349043353864	2024-07-21T11:36:39Z
sylvia-2024-202-1-0-sbd(02300000)	1.721562548E9	38.85808824099798	-63.796986418004636	2024-07-21T11:49:15Z
sylvia-2024-202-1-11-sbd(02300011)	1.721580575E9	38.92230572754833	-63.74936909870374	2024-07-21T16:51:14Z
sylvia-2024-202-1-11-sbd(02300011)	1.721583459E9	38.936223688645256	-63.739162415360376	2024-07-21T17:39:52Z
sylvia-2024-202-1-13-sbd(02300013)	1.721586836E9	38.95031239832249	-63.729218200458504	2024-07-21T18:35:46Z
sylvia-2024-202-1-13-sbd(02300013)	1.721589657E9	38.962417698860676	-63.72016854232865	2024-07-21T19:22:06Z
sylvia-2024-202-1-15-sbd(02300015)	1.721593767E9	38.97707195339055	-63.71022895648252	2024-07-21T20:31:10Z
sylvia-2024-202-1-15-sbd(02300015)	1.721597377E9	38.9928890007238	-63.70158409327323	2024-07-21T21:31:59Z
sylvia-2024-202-1-17-sbd(02300017)	1.721602006E9	39.00926837538964	-63.69226670289336	2024-07-21T22:47:37Z
sylvia-2024-202-1-17-sbd(02300017)	1.721605825E9	39.02452644802778	-63.682893601247365	2024-07-21T23:47:40Z
sylvia-2024-202-1-20-sbd(02300020)	1.721611453E9	39.03658914124221	-63.68425517676096	2024-07-22T01:26:58Z
sylvia-2024-202-1-20-sbd(02300020)	1.721616687E9	39.03759573194977	-63.70071966193817	2024-07-22T02:53:07Z
sylvia-2024-202-1-20-sbd(02300020)	1.721619703E9	39.038157554837184	-63.709995159094014	2024-07-22T03:41:38Z
sylvia-2024-202-1-22-sbd(02300022)	1.721623242E9	39.03994411966117	-63.715135489018174	2024-07-22T04:40:37Z
sylvia-2024-202-1-22-sbd(02300022)	1.72162867E9	39.03806563425354	-63.73271528903986	2024-07-22T06:15:08Z
sylvia-2024-202-1-24-sbd(02300024)	1.721634972E9	39.03458819014535	-63.749906736512	2024-07-22T07:58:57Z
sylvia-2024-202-1-24-sbd(02300024)	1.721640236E9	39.03367748106606	-63.77059755221269	2024-07-22T09:24:02Z
sylvia-2024-202-1-24-sbd(02300024)	1.721643292E9	39.03313680309965	-63.78289774249521	2024-07-22T10:14:36Z
sylvia-2024-202-1-26-sbd(02300026)	1.721646854E9	39.02910639082887	-63.79975949119724	2024-07-22T11:20:45Z
sylvia-2024-202-1-26-sbd(02300026)	1.721652014E9	39.0271320563117	-63.8210596106466	2024-07-22T12:41:01Z
sylvia-2024-202-1-26-sbd(02300026)	1.721655006E9	39.02593104196585	-63.83408322544166	2024-07-22T13:30:05Z
sylvia-2024-202-1-28-sbd(02300028)	1.721658442E9	39.02560427162876	-63.84933523498831	2024-07-22T14:31:05Z
sylvia-2024-202-1-28-sbd(02300028)	1.721663597E9	39.02074046423717	-63.870938128347234	2024-07-22T15:57:23Z
sylvia-2024-202-1-28-sbd(02300028)	1.721666619E9	39.018144145973416	-63.882466472637844	2024-07-22T16:43:26Z
sylvia-2024-202-1-3-sbd(02300003)	1.72156547E9	38.860303280596234	-63.792382657633475	2024-07-21T12:37:36Z
sylvia-2024-202-1-3-sbd(02300003)	1.721566571E9	38.86559088942015	-63.78823052326567	2024-07-21T12:55:15Z
sylvia-2024-202-1-30-sbd(02300030)	1.721670499E9	39.01606446898587	-63.8918241844093	2024-07-22T17:52:29Z
sylvia-2024-202-1-30-sbd(02300030)	1.721675934E9	39.00385112670239	-63.911775429575094	2024-07-22T19:21:01Z
sylvia-2024-202-1-30-sbd(02300030)	1.721679215E9	38.99669011275887	-63.92341969977882	2024-07-22T20:13:10Z
sylvia-2024-202-1-9-sbd(02300009)	1.721574392E9	38.89467709807097	-63.76696902481432	2024-07-21T15:07:55Z
sylvia-2024-202-1-9-sbd(02300009)	1.721577143E9	38.90840262517944	-63.75807198253949	2024-07-21T15:54:40Z

In total, there are 31 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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