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Dataset Title:  ng489-20180701T0000 Subscribe RSS
Institution:  Naval Oceanographic Office   (Dataset ID: ng489-20180701T0000)
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: 84)
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: 4802931
    trajectory ?  =  1 option: ng489-20180701T0000
    profile_id ?  =  84 options
    time ?  =  84 options
    latitude ?  =  degrees_north   84 options
    longitude ?  =  degrees_east   84 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
4802931 ng489-20180701T0000 1533088894 2018-08-01T02:01:51Z 26.33494758605957 -90.86422729492188
4802931 ng489-20180701T0000 1533090148 2018-08-01T02:22:37Z 26.331838607788086 -90.864013671875
4802931 ng489-20180701T0000 1533091384 2018-08-01T02:42:58Z 26.328882217407227 -90.86370849609375
4802931 ng489-20180701T0000 1533092615 2018-08-01T03:03:45Z 26.325767517089844 -90.86345672607422
4802931 ng489-20180701T0000 1533093838 2018-08-01T03:23:51Z 26.322866439819336 -90.86321258544922
4802931 ng489-20180701T0000 1533095048 2018-08-01T03:44:03Z 26.319765090942383 -90.86297607421875
4802931 ng489-20180701T0000 1533096279 2018-08-01T04:04:51Z 26.316740036010742 -90.8626937866211
4802931 ng489-20180701T0000 1533097593 2018-08-01T04:26:29Z 26.313522338867188 -90.86241912841797
4802931 ng489-20180701T0000 1533099122 2018-08-01T04:52:22Z 26.310176849365234 -90.86213684082031
4802931 ng489-20180701T0000 1533100612 2018-08-01T05:16:45Z 26.30792808532715 -90.86209106445312
4802931 ng489-20180701T0000 1533103836 2018-08-01T06:10:44Z 26.29511070251465 -90.87386322021484
4802931 ng489-20180701T0000 1533105160 2018-08-01T06:32:32Z 26.29111671447754 -90.87429809570312
4802931 ng489-20180701T0000 1533106475 2018-08-01T06:54:25Z 26.28740882873535 -90.87468719482422
4802931 ng489-20180701T0000 1533107789 2018-08-01T07:16:09Z 26.28356170654297 -90.87506866455078
4802931 ng489-20180701T0000 1533109102 2018-08-01T07:38:19Z 26.27975845336914 -90.87554931640625
4802931 ng489-20180701T0000 1533110409 2018-08-01T08:00:14Z 26.275861740112305 -90.8759536743164
4802931 ng489-20180701T0000 1533111720 2018-08-01T08:22:07Z 26.272077560424805 -90.87647247314453
4802931 ng489-20180701T0000 1533113026 2018-08-01T08:43:37Z 26.268239974975586 -90.87686157226562
4802931 ng489-20180701T0000 1533114053 2018-08-01T09:00:54Z 26.26542091369629 -90.8772964477539
4802931 ng489-20180701T0000 1533114796 2018-08-01T09:13:10Z 26.26413345336914 -90.87761688232422
4802931 ng489-20180701T0000 1533117581 2018-08-01T09:59:30Z 26.261714935302734 -90.87840270996094
4802931 ng489-20180701T0000 1533118866 2018-08-01T10:21:04Z 26.258893966674805 -90.87672424316406
4802931 ng489-20180701T0000 1533120151 2018-08-01T10:42:25Z 26.256175994873047 -90.8750991821289
4802931 ng489-20180701T0000 1533121435 2018-08-01T11:03:52Z 26.253355026245117 -90.87340545654297
4802931 ng489-20180701T0000 1533122710 2018-08-01T11:25:10Z 26.250680923461914 -90.87175750732422
4802931 ng489-20180701T0000 1533123984 2018-08-01T11:46:25Z 26.24787139892578 -90.87007141113281
4802931 ng489-20180701T0000 1533125259 2018-08-01T12:07:50Z 26.245174407958984 -90.868408203125
4802931 ng489-20180701T0000 1533126519 2018-08-01T12:28:42Z 26.242416381835938 -90.86675262451172
4802931 ng489-20180701T0000 1533128019 2018-08-01T12:54:00Z 26.23960304260254 -90.86497497558594
4802931 ng489-20180701T0000 1533129547 2018-08-01T13:19:12Z 26.237693786621094 -90.86375427246094
4802931 ng489-20180701T0000 1533132750 2018-08-01T14:12:24Z 26.226341247558594 -90.87311553955078
4802931 ng489-20180701T0000 1533134040 2018-08-01T14:33:45Z 26.22442054748535 -90.87066650390625
4802931 ng489-20180701T0000 1533135378 2018-08-01T14:56:19Z 26.222572326660156 -90.86849212646484
4802931 ng489-20180701T0000 1533136620 2018-08-01T15:16:59Z 26.2207088470459 -90.86611938476562
4802931 ng489-20180701T0000 1533137786 2018-08-01T15:36:28Z 26.219013214111328 -90.8637924194336
4802931 ng489-20180701T0000 1533139042 2018-08-01T15:57:17Z 26.217117309570312 -90.86150360107422
4802931 ng489-20180701T0000 1533140335 2018-08-01T16:18:57Z 26.213619232177734 -90.86099243164062
4802931 ng489-20180701T0000 1533141532 2018-08-01T16:38:44Z 26.20970344543457 -90.8609619140625
4802931 ng489-20180701T0000 1533142571 2018-08-01T16:56:17Z 26.206335067749023 -90.86091613769531
4802931 ng489-20180701T0000 1533143555 2018-08-01T17:12:28Z 26.204015731811523 -90.86144256591797
4802931 ng489-20180701T0000 1533145430 2018-08-01T17:43:39Z 26.199560165405273 -90.85945892333984
4802931 ng489-20180701T0000 1533146708 2018-08-01T18:05:16Z 26.19658088684082 -90.85819244384766
4802931 ng489-20180701T0000 1533148047 2018-08-01T18:27:26Z 26.197919845581055 -90.85961151123047
4802931 ng489-20180701T0000 1533149279 2018-08-01T18:47:55Z 26.193038940429688 -90.85973358154297
4802931 ng489-20180701T0000 1533150445 2018-08-01T19:07:24Z 26.18834686279297 -90.85990905761719
4802931 ng489-20180701T0000 1533151708 2018-08-01T19:28:19Z 26.183361053466797 -90.86004638671875
4802931 ng489-20180701T0000 1533153023 2018-08-01T19:50:26Z 26.1783504486084 -90.86026763916016
4802931 ng489-20180701T0000 1533154243 2018-08-01T20:10:22Z 26.173641204833984 -90.86039733886719
4802931 ng489-20180701T0000 1533155400 2018-08-01T20:29:53Z 26.16893768310547 -90.86046600341797
4802931 ng489-20180701T0000 1533156642 2018-08-01T20:50:37Z 26.163986206054688 -90.8605728149414
4802931 ng489-20180701T0000 1533157578 2018-08-01T21:06:22Z 26.16065788269043 -90.8608627319336
4802931 ng489-20180701T0000 1533158101 2018-08-01T21:14:53Z 26.159196853637695 -90.86119842529297
4802931 ng489-20180701T0000 1533159976 2018-08-01T21:46:17Z 26.15469741821289 -90.85983276367188
4802931 ng489-20180701T0000 1533161265 2018-08-01T22:07:42Z 26.152002334594727 -90.85786437988281
4802931 ng489-20180701T0000 1533162544 2018-08-01T22:29:06Z 26.149511337280273 -90.85607147216797
4802931 ng489-20180701T0000 1533163730 2018-08-01T22:48:43Z 26.147005081176758 -90.85425567626953
4802931 ng489-20180701T0000 1533164923 2018-08-01T23:08:41Z 26.144561767578125 -90.85246276855469
4802931 ng489-20180701T0000 1533166118 2018-08-01T23:28:28Z 26.14206314086914 -90.85065460205078
4802931 ng489-20180701T0000 1533167321 2018-08-01T23:48:30Z 26.13961410522461 -90.84884643554688
4802931 ng489-20180701T0000 1533168520 2018-08-02T00:08:29Z 26.137088775634766 -90.84705352783203
4802931 ng489-20180701T0000 1533169730 2018-08-02T00:28:52Z 26.13458824157715 -90.84520721435547
4802931 ng489-20180701T0000 1533170927 2018-08-02T00:48:53Z 26.132047653198242 -90.84339141845703
4802931 ng489-20180701T0000 1533171792 2018-08-02T01:03:15Z 26.130401611328125 -90.84215545654297
4802931 ng489-20180701T0000 1533172428 2018-08-02T01:13:55Z 26.12967300415039 -90.84165954589844
4802931 ng489-20180701T0000 1533176066 2018-08-02T02:14:33Z 26.110010147094727 -90.85328674316406
4802931 ng489-20180701T0000 1533177298 2018-08-02T02:34:58Z 26.10711097717285 -90.85151672363281
4802931 ng489-20180701T0000 1533178586 2018-08-02T02:56:19Z 26.104265213012695 -90.84981536865234
4802931 ng489-20180701T0000 1533179796 2018-08-02T03:16:34Z 26.101388931274414 -90.84806823730469
4802931 ng489-20180701T0000 1533180952 2018-08-02T03:36:05Z 26.09868621826172 -90.84637451171875
4802931 ng489-20180701T0000 1533182178 2018-08-02T03:56:19Z 26.095840454101562 -90.84464263916016
4802931 ng489-20180701T0000 1533183481 2018-08-02T04:17:59Z 26.09296226501465 -90.84294128417969
4802931 ng489-20180701T0000 1533184712 2018-08-02T04:38:31Z 26.090070724487305 -90.84121704101562
4802931 ng489-20180701T0000 1533185825 2018-08-02T04:57:07Z 26.08759307861328 -90.83978271484375
4802931 ng489-20180701T0000 1533186862 2018-08-02T05:14:32Z 26.08568000793457 -90.83950805664062
4802931 ng489-20180701T0000 1533189774 2018-08-02T06:02:49Z 26.082489013671875 -90.84019470214844
4802931 ng489-20180701T0000 1533191004 2018-08-02T06:23:21Z 26.082122802734375 -90.83692169189453
4802931 ng489-20180701T0000 1533192300 2018-08-02T06:44:57Z 26.081804275512695 -90.83349609375
4802931 ng489-20180701T0000 1533193494 2018-08-02T07:04:51Z 26.081453323364258 -90.8302001953125
4802931 ng489-20180701T0000 1533194625 2018-08-02T07:23:46Z 26.081085205078125 -90.82696533203125
4802931 ng489-20180701T0000 1533195842 2018-08-02T07:44:10Z 26.08073616027832 -90.82352447509766
4802931 ng489-20180701T0000 1533197142 2018-08-02T08:05:28Z 26.080411911010742 -90.82023620605469
4802931 ng489-20180701T0000 1533198357 2018-08-02T08:25:50Z 26.080089569091797 -90.81686401367188
4802931 ng489-20180701T0000 1533199413 2018-08-02T08:43:24Z 26.07976531982422 -90.81389617919922
4802931 ng489-20180701T0000 1533199897 2018-08-02T08:51:35Z 26.079648971557617 -90.81251525878906

In total, there are 84 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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