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ERDDAP
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Dataset Title: | unit_595-20250705T0000
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Institution: | The University of Alaska Fairbanks College of Fisheries and Ocean Science (Dataset ID: unit_595-20250705T0000) |
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 | |||
4802990 | unit_595-20250705T0000 | 1751765189 | 2025-07-06T01:26:53Z | 66.50708 | -167.848862 |
4802990 | unit_595-20250705T0000 | 1751765238 | 2025-07-06T01:27:36Z | 66.50707999999999 | -167.84886200000003 |
4802990 | unit_595-20250705T0000 | 1751767093 | 2025-07-06T01:59:14Z | 66.50891226860303 | -167.84445266095778 |
4802990 | unit_595-20250705T0000 | 1751767215 | 2025-07-06T02:00:20Z | 66.50923850205551 | -167.8434029090442 |
4802990 | unit_595-20250705T0000 | 1751767233 | 2025-07-06T02:01:39Z | 66.509245 | -167.843382 |
4802990 | unit_595-20250705T0000 | 1751768608 | 2025-07-06T02:24:18Z | 66.51101668404606 | -167.83866374983552 |
4802990 | unit_595-20250705T0000 | 1751769677 | 2025-07-06T02:42:16Z | 66.51188031932045 | -167.83782634868993 |
4802990 | unit_595-20250705T0000 | 1751771031 | 2025-07-06T03:04:32Z | 66.51376764003759 | -167.83391512734957 |
4802990 | unit_595-20250705T0000 | 1751778751 | 2025-07-06T05:13:31Z | 66.52322711854305 | -167.8152123210596 |
4802990 | unit_595-20250705T0000 | 1751780361 | 2025-07-06T05:40:22Z | 66.52507161761693 | -167.81133029566408 |
4802990 | unit_595-20250705T0000 | 1751782008 | 2025-07-06T06:07:46Z | 66.52693754684384 | -167.80759886445182 |
4802990 | unit_595-20250705T0000 | 1751783655 | 2025-07-06T06:35:18Z | 66.52839440492511 | -167.8044236565118 |
4802990 | unit_595-20250705T0000 | 1751786332 | 2025-07-06T07:19:57Z | 66.53227557734154 | -167.79858612381742 |
4802990 | unit_595-20250705T0000 | 1751794535 | 2025-07-06T09:36:41Z | 66.5480351213416 | -167.7790885746635 |
4802990 | unit_595-20250705T0000 | 1751810928 | 2025-07-06T14:09:53Z | 66.5792254293623 | -167.71891743883745 |
4802990 | unit_595-20250705T0000 | 1751827234 | 2025-07-06T18:41:54Z | 66.61547429464615 | -167.64875586532818 |
4802990 | unit_595-20250705T0000 | 1751835494 | 2025-07-06T20:59:32Z | 66.62852553105425 | -167.62687922355468 |
4802990 | unit_595-20250705T0000 | 1751876295 | 2025-07-07T08:19:35Z | 66.67768299999999 | -167.50501149302323 |
4802990 | unit_595-20250705T0000 | 1751892879 | 2025-07-07T12:56:15Z | 66.68025303006966 | -167.4385538981298 |
4802990 | unit_595-20250705T0000 | 1751909260 | 2025-07-07T17:29:12Z | 66.68417572835067 | -167.3593740869798 |
4802990 | unit_595-20250705T0000 | 1751950295 | 2025-07-08T04:53:14Z | 66.68544851395349 | -167.1927929160465 |
4802990 | unit_595-20250705T0000 | 1751958329 | 2025-07-08T07:07:51Z | 66.68759607425787 | -167.1784646542032 |
4802990 | unit_595-20250705T0000 | 1751966572 | 2025-07-08T09:24:51Z | 66.69203394156345 | -167.16928211816304 |
4802990 | unit_595-20250705T0000 | 1751974730 | 2025-07-08T11:40:29Z | 66.69920932159587 | -167.17230261056375 |
4802990 | unit_595-20250705T0000 | 1751983151 | 2025-07-08T14:01:09Z | 66.70810476392676 | -167.17904624827943 |
4802990 | unit_595-20250705T0000 | 1751999519 | 2025-07-08T18:33:45Z | 66.72264890188598 | -167.178345897207 |
4802990 | unit_595-20250705T0000 | 1752016188 | 2025-07-08T23:11:24Z | 66.73067131350508 | -167.17357518688524 |
4802990 | unit_595-20250705T0000 | 1752024521 | 2025-07-09T01:30:18Z | 66.73402487779879 | -167.17359997571742 |
4802990 | unit_595-20250705T0000 | 1752032842 | 2025-07-09T03:49:02Z | 66.73679419485435 | -167.16830063462876 |
4802990 | unit_595-20250705T0000 | 1752041079 | 2025-07-09T06:06:40Z | 66.74112890681819 | -167.16347217703347 |
4802990 | unit_595-20250705T0000 | 1752081911 | 2025-07-09T17:26:57Z | 66.77928518543048 | -167.13877477924942 |
4802990 | unit_595-20250705T0000 | 1752090135 | 2025-07-09T19:44:08Z | 66.7873618345515 | -167.13411941993357 |
4802990 | unit_595-20250705T0000 | 1752098506 | 2025-07-09T22:03:42Z | 66.7970354015613 | -167.13619578693832 |
4802990 | unit_595-20250705T0000 | 1752106716 | 2025-07-10T00:20:25Z | 66.80614309192794 | -167.14323669822605 |
4802990 | unit_595-20250705T0000 | 1752115002 | 2025-07-10T02:38:50Z | 66.8140071021468 | -167.14793305401662 |
4802990 | unit_595-20250705T0000 | 1752123427 | 2025-07-10T04:58:45Z | 66.81807261239459 | -167.14487862383572 |
4802990 | unit_595-20250705T0000 | 1752131632 | 2025-07-10T07:15:49Z | 66.82151750990099 | -167.13568083168317 |
4802990 | unit_595-20250705T0000 | 1752148233 | 2025-07-10T11:52:23Z | 66.83442424530209 | -167.12949917316632 |
4802990 | unit_595-20250705T0000 | 1752164738 | 2025-07-10T16:27:21Z | 66.84725724252492 | -167.1244323311185 |
4802990 | unit_595-20250705T0000 | 1752172922 | 2025-07-10T18:43:47Z | 66.85397728720098 | -167.1137223563995 |
4802990 | unit_595-20250705T0000 | 1752214189 | 2025-07-11T06:12:08Z | 66.90794357627655 | -167.0467420775819 |
4802990 | unit_595-20250705T0000 | 1752230928 | 2025-07-11T10:51:03Z | 66.9377779694079 | -167.01351054424342 |
4802990 | unit_595-20250705T0000 | 1752239184 | 2025-07-11T13:08:36Z | 66.95797841069889 | -166.99776408202112 |
4802990 | unit_595-20250705T0000 | 1752247499 | 2025-07-11T15:27:23Z | 66.97455223568372 | -166.96855965026194 |
4802990 | unit_595-20250705T0000 | 1752255643 | 2025-07-11T17:43:08Z | 66.99163891474421 | -166.95498647027583 |
4802990 | unit_595-20250705T0000 | 1752268940 | 2025-07-11T21:24:31Z | 67.01859200657894 | -166.907501007964 |
4802990 | unit_595-20250705T0000 | 1752285557 | 2025-07-12T02:01:40Z | 67.056755057211 | -166.83517712567988 |
4802990 | unit_595-20250705T0000 | 1752301977 | 2025-07-12T06:35:27Z | 67.09478156270887 | -166.76023603278446 |
4802990 | unit_595-20250705T0000 | 1752318872 | 2025-07-12T11:16:38Z | 67.1429318628193 | -166.7169230605487 |
4802990 | unit_595-20250705T0000 | 1752360506 | 2025-07-12T22:51:04Z | 67.25739368854647 | -166.6524717250082 |
In total, there are 50 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.