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Dataset Title:  ng512-20180701T0000 Subscribe RSS
Institution:  Naval Oceanographic Office   (Dataset ID: ng512-20180701T0000)
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: 44)
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 ?  =  1 option: 4802904
    trajectory ?  =  1 option: ng512-20180701T0000
    profile_id ?  =  44 options
    time ?  =  44 options
    latitude ?  =  degrees_north   44 options
    longitude ?  =  degrees_east   44 options

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

 
Map of Distinct Data ?   (Refine the map and/or download the image)
Optional: Click on the map to select the closest data.
Map of Distinct 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)  

wmo_id trajectory profile_id time latitude longitude
UTC degrees_north degrees_east
4802904 ng512-20180701T0000 1533080569 2018-07-31T23:42:44Z 26.390562057495117 -90.56350708007812
4802904 ng512-20180701T0000 1533083193 2018-08-01T00:26:41Z 26.390213012695312 -90.55413055419922
4802904 ng512-20180701T0000 1533089768 2018-08-01T02:15:46Z 26.328683853149414 -90.56486511230469
4802904 ng512-20180701T0000 1533095508 2018-08-01T03:52:04Z 26.325117111206055 -90.55191802978516
4802904 ng512-20180701T0000 1533100376 2018-08-01T05:12:55Z 26.322072982788086 -90.54117584228516
4802904 ng512-20180701T0000 1533103973 2018-08-01T06:12:45Z 26.320043563842773 -90.53182220458984
4802904 ng512-20180701T0000 1533110815 2018-08-01T08:06:55Z 26.313962936401367 -90.52558898925781
4802904 ng512-20180701T0000 1533116701 2018-08-01T09:45:19Z 26.311363220214844 -90.5128173828125
4802904 ng512-20180701T0000 1533121450 2018-08-01T11:03:48Z 26.309293746948242 -90.50274658203125
4802904 ng512-20180701T0000 1533124927 2018-08-01T12:02:20Z 26.308109283447266 -90.4936752319336
4802904 ng512-20180701T0000 1533131634 2018-08-01T13:53:50Z 26.30668830871582 -90.48102569580078
4802904 ng512-20180701T0000 1533137357 2018-08-01T15:29:22Z 26.304475784301758 -90.46821594238281
4802904 ng512-20180701T0000 1533142400 2018-08-01T16:52:47Z 26.30242919921875 -90.45744323730469
4802904 ng512-20180701T0000 1533146435 2018-08-01T18:00:22Z 26.3013916015625 -90.44705963134766
4802904 ng512-20180701T0000 1533154511 2018-08-01T20:14:16Z 26.287193298339844 -90.43025207519531
4802904 ng512-20180701T0000 1533160374 2018-08-01T21:53:15Z 26.28900909423828 -90.4219741821289
4802904 ng512-20180701T0000 1533165123 2018-08-01T23:11:40Z 26.290647506713867 -90.41529083251953
4802904 ng512-20180701T0000 1533168434 2018-08-02T00:07:18Z 26.292409896850586 -90.40966796875
4802904 ng512-20180701T0000 1533175167 2018-08-02T01:58:53Z 26.285505294799805 -90.41156005859375
4802904 ng512-20180701T0000 1533181066 2018-08-02T03:37:49Z 26.289939880371094 -90.40542602539062
4802904 ng512-20180701T0000 1533185928 2018-08-02T04:58:34Z 26.293498992919922 -90.4005126953125
4802904 ng512-20180701T0000 1533189413 2018-08-02T05:56:50Z 26.296905517578125 -90.3961181640625
4802904 ng512-20180701T0000 1533196483 2018-08-02T07:54:51Z 26.293975830078125 -90.39654541015625
4802904 ng512-20180701T0000 1533202362 2018-08-02T09:32:41Z 26.29880714416504 -90.39046478271484
4802904 ng512-20180701T0000 1533207314 2018-08-02T10:55:29Z 26.302953720092773 -90.38525390625
4802904 ng512-20180701T0000 1533211263 2018-08-02T12:00:44Z 26.307453155517578 -90.37999725341797
4802904 ng512-20180701T0000 1533218632 2018-08-02T14:03:32Z 26.294105529785156 -90.37901306152344
4802904 ng512-20180701T0000 1533224125 2018-08-02T15:35:27Z 26.269956588745117 -90.37699890136719
4802904 ng512-20180701T0000 1533229001 2018-08-02T16:56:13Z 26.270097732543945 -90.36323547363281
4802904 ng512-20180701T0000 1533233150 2018-08-02T18:06:18Z 26.257688522338867 -90.35698699951172
4802904 ng512-20180701T0000 1533240679 2018-08-02T20:11:29Z 26.210460662841797 -90.36853790283203
4802904 ng512-20180701T0000 1533246220 2018-08-02T21:44:22Z 26.194055557250977 -90.35879516601562
4802904 ng512-20180701T0000 1533251160 2018-08-02T23:05:59Z 26.179607391357422 -90.35034942626953
4802904 ng512-20180701T0000 1533255108 2018-08-03T00:11:39Z 26.16551399230957 -90.34358215332031
4802904 ng512-20180701T0000 1533262442 2018-08-03T02:13:38Z 26.141855239868164 -90.3292465209961
4802904 ng512-20180701T0000 1533268509 2018-08-03T03:55:22Z 26.1217041015625 -90.31964111328125
4802904 ng512-20180701T0000 1533273181 2018-08-03T05:12:49Z 26.106327056884766 -90.31236267089844
4802904 ng512-20180701T0000 1533276465 2018-08-03T06:07:41Z 26.094636917114258 -90.3058853149414
4802904 ng512-20180701T0000 1533283404 2018-08-03T08:03:04Z 26.080127716064453 -90.30685424804688
4802904 ng512-20180701T0000 1533289485 2018-08-03T09:44:46Z 26.08049201965332 -90.30733489990234
4802904 ng512-20180701T0000 1533294301 2018-08-03T11:04:41Z 26.080812454223633 -90.3080062866211
4802904 ng512-20180701T0000 1533297738 2018-08-03T12:02:33Z 26.08045196533203 -90.30706787109375
4802904 ng512-20180701T0000 1533301814 2018-08-03T13:10:17Z 26.051809310913086 -90.24596405029297
4802904 ng512-20180701T0000 1533303293 2018-08-03T13:34:52Z 26.04994010925293 -90.24185943603516

In total, there are 44 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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