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ERDDAP
Easier access to scientific data |
Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | unit_1151-20250403T0000
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Institution: | The University of Alaska Fairbanks College of Fisheries and Ocean Science (Dataset ID: unit_1151-20250403T0000) |
Information: | Summary ![]() ![]() ![]() |
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 | |||
6801537 | unit_1151-20250403T0000 | 1743805012 | 2025-04-04T22:20:40Z | 59.963091405891696 | -149.31707921979927 |
6801537 | unit_1151-20250403T0000 | 1743806523 | 2025-04-04T22:48:27Z | 59.96431963649838 | -149.31987955403577 |
6801537 | unit_1151-20250403T0000 | 1743808967 | 2025-04-04T23:29:35Z | 59.96344004361418 | -149.32640434785543 |
6801537 | unit_1151-20250403T0000 | 1744915784 | 2025-04-17T18:52:08Z | 59.96417262671185 | -149.32035738854 |
6801537 | unit_1151-20250403T0000 | 1744917612 | 2025-04-17T19:22:41Z | 59.96342070526008 | -149.32252461406594 |
6801537 | unit_1151-20250403T0000 | 1744919407 | 2025-04-17T19:52:31Z | 59.96279222854285 | -149.32447384078083 |
6801537 | unit_1151-20250403T0000 | 1744921136 | 2025-04-17T20:22:30Z | 59.96227322375578 | -149.32660829077471 |
6801537 | unit_1151-20250403T0000 | 1744925389 | 2025-04-17T21:29:56Z | 59.96154811904762 | -149.32957203333333 |
6801537 | unit_1151-20250403T0000 | 1744925605 | 2025-04-17T21:37:07Z | 59.96148830566753 | -149.3296001615022 |
6801537 | unit_1151-20250403T0000 | 1744929267 | 2025-04-17T22:40:06Z | 59.958394212517774 | -149.33795978408452 |
6801537 | unit_1151-20250403T0000 | 1744933798 | 2025-04-17T23:55:33Z | 59.95547625989231 | -149.3477673057587 |
6801537 | unit_1151-20250403T0000 | 1744937998 | 2025-04-18T01:00:38Z | 59.95258859764012 | -149.35731018023597 |
6801537 | unit_1151-20250403T0000 | 1744939691 | 2025-04-18T01:29:57Z | 59.95208662422374 | -149.3585225333676 |
6801537 | unit_1151-20250403T0000 | 1744943581 | 2025-04-18T02:42:57Z | 59.94908041100863 | -149.37003191633144 |
6801537 | unit_1151-20250403T0000 | 1744948737 | 2025-04-18T04:09:59Z | 59.94434543298037 | -149.38530405785122 |
6801537 | unit_1151-20250403T0000 | 1744952030 | 2025-04-18T05:02:52Z | 59.94179177244204 | -149.3931009083593 |
6801537 | unit_1151-20250403T0000 | 1744957843 | 2025-04-18T06:44:41Z | 59.93597275755282 | -149.40398521574923 |
6801537 | unit_1151-20250403T0000 | 1744965728 | 2025-04-18T08:55:49Z | 59.92708139120452 | -149.41816233522573 |
6801537 | unit_1151-20250403T0000 | 1744973477 | 2025-04-18T11:05:37Z | 59.91590815158052 | -149.4294863992589 |
6801537 | unit_1151-20250403T0000 | 1744981291 | 2025-04-18T13:14:49Z | 59.902334050716924 | -149.441214403468 |
6801537 | unit_1151-20250403T0000 | 1744989047 | 2025-04-18T15:24:49Z | 59.88818153339891 | -149.4590310911914 |
6801537 | unit_1151-20250403T0000 | 1744996843 | 2025-04-18T17:34:38Z | 59.87623494260491 | -149.46661602585638 |
6801537 | unit_1151-20250403T0000 | 1745012805 | 2025-04-18T22:00:33Z | 59.857228148059036 | -149.46789685953243 |
6801537 | unit_1151-20250403T0000 | 1745028899 | 2025-04-19T02:32:29Z | 59.842039843371374 | -149.4675305214811 |
6801537 | unit_1151-20250403T0000 | 1745042693 | 2025-04-19T06:23:20Z | 59.8287198444303 | -149.47092420958856 |
6801537 | unit_1151-20250403T0000 | 1745051977 | 2025-04-19T08:57:46Z | 59.83789324123593 | -149.4604549226686 |
6801537 | unit_1151-20250403T0000 | 1745062375 | 2025-04-19T11:50:04Z | 59.828071862369654 | -149.44590794865022 |
6801537 | unit_1151-20250403T0000 | 1745073609 | 2025-04-19T14:57:41Z | 59.81620432438565 | -149.4217192350018 |
6801537 | unit_1151-20250403T0000 | 1745083967 | 2025-04-19T17:50:49Z | 59.80642535089322 | -149.4013804541875 |
6801537 | unit_1151-20250403T0000 | 1745094797 | 2025-04-19T20:51:41Z | 59.804058993428626 | -149.40128091443304 |
6801537 | unit_1151-20250403T0000 | 1745106102 | 2025-04-19T23:57:13Z | 59.80188294494895 | -149.39611826996625 |
6801537 | unit_1151-20250403T0000 | 1745116788 | 2025-04-20T02:54:41Z | 59.802284407688745 | -149.37938728125917 |
6801537 | unit_1151-20250403T0000 | 1745126955 | 2025-04-20T05:44:43Z | 59.79844736473567 | -149.3577289217587 |
6801537 | unit_1151-20250403T0000 | 1745139015 | 2025-04-20T09:05:45Z | 59.791050166053324 | -149.33132476791462 |
6801537 | unit_1151-20250403T0000 | 1745149391 | 2025-04-20T11:57:32Z | 59.78713336788715 | -149.32587917700468 |
6801537 | unit_1151-20250403T0000 | 1745161019 | 2025-04-20T15:12:08Z | 59.784231390307085 | -149.32390459805657 |
In total, there are 36 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.
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.