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Dataset Title:  sylvia-20221102T2016 Delayed Mode Science Profiles Subscribe RSS
Institution:  Virginia Institute of Marine Science - The College of William & Mary   (Dataset ID: sylvia-20221102T2016-profile-sci-delayed)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 18)
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 ?  =  4 options
    profile_id ?  =  18 options
    profile_lat ?  =  degree_north   16 options
    profile_lon ?  =  degree_east   17 options
    profile_time ?  =  18 options

View:      Map of All Related Data ?      Distinct Data Counts ?     Distinct Data ?      Related Data Counts ?     Related Data ?

 
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.
 


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.

 


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-2022-305-3-0-dbd(01590000) 1.667420211E9 38.29844818971681 -63.21600016426089 2022-11-02T20:17:05Z
sylvia-2022-305-3-0-dbd(01590000) 1.667420336E9 38.29867789192139 -63.215153941349854 2022-11-02T20:18:56Z
sylvia-2022-305-3-0-dbd(01590000) 1.667420482E9 38.29860000718874 -63.21412806045046 2022-11-02T20:21:22Z
sylvia-2022-305-3-0-dbd(01590000) 1.667420597E9 38.298562557598444 -63.21330900166909 2022-11-02T20:23:17Z
sylvia-2022-305-3-0-dbd(01590000) 1.667420712E9 38.29852495964479 -63.21248669803749 2022-11-02T20:25:12Z
sylvia-2022-305-3-0-dbd(01590000) 1.667420816E9 38.2984912750395 -63.21174998312201 2022-11-02T20:26:56Z
sylvia-2022-305-3-0-dbd(01590000) 1.667420905E9 38.298462297158274 -63.21111620881645 2022-11-02T20:28:25Z
sylvia-2022-305-4-0-dbd(01600000) 1.667422897E9 38.2962238585192 -63.20419942555614 2022-11-02T21:01:37Z
sylvia-2022-305-4-0-dbd(01600000) 1.667424014E9 38.29731891314885 -63.20389350054702 2022-11-02T21:20:15Z
sylvia-2022-305-4-0-dbd(01600000) 1.66742507E9 38.298356825865504 -63.20361128349385 2022-11-02T21:37:50Z
sylvia-2022-305-4-0-dbd(01600000) 1.667425457E9 38.29873705274433 -63.20350789666029 2022-11-02T21:44:17Z
sylvia-2022-305-4-2-dbd(01600002) 1.667427783E9 38.29871002737884 -63.200670105497004 2022-11-02T22:23:04Z
sylvia-2022-305-4-2-dbd(01600002) 1.667428855E9 38.29871666666667 -63.20067000000003 2022-11-02T22:40:56Z
sylvia-2022-305-4-2-dbd(01600002) 1.667429536E9 38.29871666666667 -63.20067000000004 2022-11-02T22:52:16Z
sylvia-2022-306-0-0-dbd(01610000) 1.667473801E9 38.30809967989666 -63.11040516751528 2022-11-03T11:10:01Z
sylvia-2022-306-0-0-dbd(01610000) 1.66747394E9 38.30808166666667 -63.11032833333332 2022-11-03T11:12:20Z
sylvia-2022-306-0-0-dbd(01610000) 1.667474059E9 38.308081666666666 -63.110328333333314 2022-11-03T11:14:19Z
sylvia-2022-306-0-0-dbd(01610000) 1.667474088E9 38.308081666666666 -63.11032833333332 2022-11-03T11:14:49Z

In total, there are 18 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.
 


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.
 


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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