ERDDAP > tabledap > Subset

Dataset Title:	sylvia-20221105T2011 Delayed Mode Science Profiles
Institution:	Virginia Institute of Marine Science - The College of William & Mary   (Dataset ID: sylvia-20221105T2011-profile-sci-delayed)
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: 38)
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-2022-308-1-0-dbd(01630000) sylvia-2022-308-2-0-dbd(01640000) sylvia-2022-308-2-2-dbd(01640002) sylvia-2022-308-2-4-dbd(01640004)	4 options
profile_id	= (ANY) 1.667679149E9 1.667679285E9 1.667679427E9 1.66767954E9 1.667679652E9 1.667679751E9 1.667679847E9 1.667681747E9 1.667682013E9 1.667682271E9 1.667682531E9 1.667682788E9 1.667683048E9 1.667683317E9 1.667683579E9 1.667683837E9 1.667684102E9 1.667684361E9 1.66768462E9 1.667684884E9 1.667686191E9 1.66768647E9 1.667686722E9 1.667686978E9 1.667687244E9 1.667687501E9 1.667687747E9 1.667688003E9 1.667688269E9 1.667688523E9 1.667688786E9 1.667689051E9 1.667689299E9 1.667690581E9 1.667690963E9 1.667691336E9 1.667691715E9 1.667692098E9	38 options
profile_lat	= (ANY) 38.117459833494024 38.11821269968845 38.11847455346902 38.11860706930977 38.11873892821892 38.118855480382535 38.11897513346645 38.12615301727213 38.12643791592767 38.12666514811764 38.12683584293606 38.12700093081224 38.127115976083786 38.12722855024958 38.12738276048462 38.12753540832507 38.12771673114963 38.127904896173035 38.12797102593393 38.12806470066279 38.131190760497695 38.13144635435178 38.131636026082475 38.13175998837916 38.13191469121914 38.13207146746615 38.13222018192167 38.132374180740435 38.13258159756108 38.13274836559864 38.13290996229495 38.13307349141885 38.13323021170672 38.13567765444094 38.13603673002914 38.136496234208735 38.13678177155115 38.136952679214396  degree_north	38 options
profile_lon	= (ANY) -62.80823906449802 -62.80674318406059 -62.80569210715826 -62.80485751219967 -62.80402705464687 -62.80329300015486 -62.80257702702978 -62.78987363088703 -62.7886008070889 -62.787403265934934 -62.78637109992449 -62.78533316589633 -62.78433974379605 -62.783237175131916 -62.782187140005384 -62.78113167350083 -62.77994316846936 -62.77864711616438 -62.77761375004964 -62.776539658038125 -62.76808878376628 -62.766656311231884 -62.76540446896347 -62.764176887283874 -62.7628811317223 -62.761803976856484 -62.7607785435723 -62.75971667292938 -62.75849617163971 -62.757455393771146 -62.75629910954737 -62.755204514825955 -62.75417900175886 -62.746768037771666 -62.74531682947665 -62.74419425189263 -62.74260323661706 -62.74151914075041  degree_east	38 options
profile_time	= (ANY) 2022-11-05T20:13:03Z 2022-11-05T20:14:45Z 2022-11-05T20:17:08Z 2022-11-05T20:19:00Z 2022-11-05T20:20:52Z 2022-11-05T20:22:31Z 2022-11-05T20:24:08Z 2022-11-05T20:55:47Z 2022-11-05T21:00:12Z 2022-11-05T21:04:31Z 2022-11-05T21:08:51Z 2022-11-05T21:13:09Z 2022-11-05T21:17:28Z 2022-11-05T21:21:56Z 2022-11-05T21:26:19Z 2022-11-05T21:30:37Z 2022-11-05T21:35:02Z 2022-11-05T21:39:20Z 2022-11-05T21:43:40Z 2022-11-05T21:48:03Z 2022-11-05T22:09:51Z 2022-11-05T22:14:30Z 2022-11-05T22:18:42Z 2022-11-05T22:22:58Z 2022-11-05T22:27:25Z 2022-11-05T22:31:41Z 2022-11-05T22:35:47Z 2022-11-05T22:40:02Z 2022-11-05T22:44:30Z 2022-11-05T22:48:43Z 2022-11-05T22:53:06Z 2022-11-05T22:57:31Z 2022-11-05T23:01:39Z 2022-11-05T23:23:01Z 2022-11-05T23:29:23Z 2022-11-05T23:35:36Z 2022-11-05T23:41:55Z 2022-11-05T23:48:17Z	38 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-2022-308-1-0-dbd(01630000)	1.667679149E9	38.117459833494024	-62.80823906449802	2022-11-05T20:13:03Z
sylvia-2022-308-1-0-dbd(01630000)	1.667679285E9	38.11821269968845	-62.80674318406059	2022-11-05T20:14:45Z
sylvia-2022-308-1-0-dbd(01630000)	1.667679427E9	38.11847455346902	-62.80569210715826	2022-11-05T20:17:08Z
sylvia-2022-308-1-0-dbd(01630000)	1.66767954E9	38.11860706930977	-62.80485751219967	2022-11-05T20:19:00Z
sylvia-2022-308-1-0-dbd(01630000)	1.667679652E9	38.11873892821892	-62.80402705464687	2022-11-05T20:20:52Z
sylvia-2022-308-1-0-dbd(01630000)	1.667679751E9	38.118855480382535	-62.80329300015486	2022-11-05T20:22:31Z
sylvia-2022-308-1-0-dbd(01630000)	1.667679847E9	38.11897513346645	-62.80257702702978	2022-11-05T20:24:08Z
sylvia-2022-308-2-0-dbd(01640000)	1.667681747E9	38.12615301727213	-62.78987363088703	2022-11-05T20:55:47Z
sylvia-2022-308-2-0-dbd(01640000)	1.667682013E9	38.12643791592767	-62.7886008070889	2022-11-05T21:00:12Z
sylvia-2022-308-2-0-dbd(01640000)	1.667682271E9	38.12666514811764	-62.787403265934934	2022-11-05T21:04:31Z
sylvia-2022-308-2-0-dbd(01640000)	1.667682531E9	38.12683584293606	-62.78637109992449	2022-11-05T21:08:51Z
sylvia-2022-308-2-0-dbd(01640000)	1.667682788E9	38.12700093081224	-62.78533316589633	2022-11-05T21:13:09Z
sylvia-2022-308-2-0-dbd(01640000)	1.667683048E9	38.127115976083786	-62.78433974379605	2022-11-05T21:17:28Z
sylvia-2022-308-2-0-dbd(01640000)	1.667683317E9	38.12722855024958	-62.783237175131916	2022-11-05T21:21:56Z
sylvia-2022-308-2-0-dbd(01640000)	1.667683579E9	38.12738276048462	-62.782187140005384	2022-11-05T21:26:19Z
sylvia-2022-308-2-0-dbd(01640000)	1.667683837E9	38.12753540832507	-62.78113167350083	2022-11-05T21:30:37Z
sylvia-2022-308-2-0-dbd(01640000)	1.667684102E9	38.12771673114963	-62.77994316846936	2022-11-05T21:35:02Z
sylvia-2022-308-2-0-dbd(01640000)	1.667684361E9	38.127904896173035	-62.77864711616438	2022-11-05T21:39:20Z
sylvia-2022-308-2-0-dbd(01640000)	1.66768462E9	38.12797102593393	-62.77761375004964	2022-11-05T21:43:40Z
sylvia-2022-308-2-0-dbd(01640000)	1.667684884E9	38.12806470066279	-62.776539658038125	2022-11-05T21:48:03Z
sylvia-2022-308-2-2-dbd(01640002)	1.667686191E9	38.131190760497695	-62.76808878376628	2022-11-05T22:09:51Z
sylvia-2022-308-2-2-dbd(01640002)	1.66768647E9	38.13144635435178	-62.766656311231884	2022-11-05T22:14:30Z
sylvia-2022-308-2-2-dbd(01640002)	1.667686722E9	38.131636026082475	-62.76540446896347	2022-11-05T22:18:42Z
sylvia-2022-308-2-2-dbd(01640002)	1.667686978E9	38.13175998837916	-62.764176887283874	2022-11-05T22:22:58Z
sylvia-2022-308-2-2-dbd(01640002)	1.667687244E9	38.13191469121914	-62.7628811317223	2022-11-05T22:27:25Z
sylvia-2022-308-2-2-dbd(01640002)	1.667687501E9	38.13207146746615	-62.761803976856484	2022-11-05T22:31:41Z
sylvia-2022-308-2-2-dbd(01640002)	1.667687747E9	38.13222018192167	-62.7607785435723	2022-11-05T22:35:47Z
sylvia-2022-308-2-2-dbd(01640002)	1.667688003E9	38.132374180740435	-62.75971667292938	2022-11-05T22:40:02Z
sylvia-2022-308-2-2-dbd(01640002)	1.667688269E9	38.13258159756108	-62.75849617163971	2022-11-05T22:44:30Z
sylvia-2022-308-2-2-dbd(01640002)	1.667688523E9	38.13274836559864	-62.757455393771146	2022-11-05T22:48:43Z
sylvia-2022-308-2-2-dbd(01640002)	1.667688786E9	38.13290996229495	-62.75629910954737	2022-11-05T22:53:06Z
sylvia-2022-308-2-2-dbd(01640002)	1.667689051E9	38.13307349141885	-62.755204514825955	2022-11-05T22:57:31Z
sylvia-2022-308-2-2-dbd(01640002)	1.667689299E9	38.13323021170672	-62.75417900175886	2022-11-05T23:01:39Z
sylvia-2022-308-2-4-dbd(01640004)	1.667690581E9	38.13567765444094	-62.746768037771666	2022-11-05T23:23:01Z
sylvia-2022-308-2-4-dbd(01640004)	1.667690963E9	38.13603673002914	-62.74531682947665	2022-11-05T23:29:23Z
sylvia-2022-308-2-4-dbd(01640004)	1.667691336E9	38.136496234208735	-62.74419425189263	2022-11-05T23:35:36Z
sylvia-2022-308-2-4-dbd(01640004)	1.667691715E9	38.13678177155115	-62.74260323661706	2022-11-05T23:41:55Z
sylvia-2022-308-2-4-dbd(01640004)	1.667692098E9	38.136952679214396	-62.74151914075041	2022-11-05T23:48:17Z

In total, there are 38 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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