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ERDDAP
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Dataset Title: | Glider - unit_507-20220212T0000
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Institution: | The University of Alaska Fairbanks College of Fisheries and Ocean Science (Dataset ID: unit_507_20220212t0000) |
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)
trajectory | wmo_id | profile_id | time | latitude | longitude | lat_uv | lon_uv | time_uv | u | v |
---|---|---|---|---|---|---|---|---|---|---|
UTC | degrees_north | degrees_east | degrees_north | degrees_east | UTC | m.s-1 | m.s-1 | |||
unit_507-20220212T0000 | 4802989 | 2022-03-20T17:56:10Z | 59.84663117406207 | -149.4995666123687 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-20T20:18:39Z | 59.86275264544192 | -149.4923109395569 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-20T22:59:27Z | 59.8704805221851 | -149.4945787243132 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-21T01:47:42Z | 59.85491098566261 | -149.4925122238285 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-21T16:01:43Z | 59.86335938843153 | -149.49295221597612 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-21T18:37:56Z | 59.86967693327938 | -149.49979540437374 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-21T21:21:38Z | 59.85695966548344 | -149.4970144943215 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-22T00:13:24Z | 59.84330395699047 | -149.49653944018834 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-22T03:07:07Z | 59.829435371848476 | -149.50210788109518 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-22T05:49:35Z | 59.827411964865476 | -149.502654610507 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-22T08:23:47Z | 59.84422501892509 | -149.49967757351305 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-22T09:43:58Z | 59.85105965662068 | -149.49885523624627 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-22T12:30:23Z | 59.86770041921589 | -149.49457689133462 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-22T15:03:02Z | 59.8622460463367 | -149.49548652509446 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-22T17:44:02Z | 59.84773088637833 | -149.49630997533774 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-22T20:35:41Z | 59.8326929587548 | -149.50304054348922 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-22T23:12:17Z | 59.82333288540331 | -149.50997560418253 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-23T01:45:43Z | 59.83059594676129 | -149.50668031003426 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-23T04:28:07Z | 59.84894067039329 | -149.5011882958444 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-23T06:33:35Z | 59.861837519489036 | -149.49633625903766 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-23T09:14:59Z | 59.86997022399832 | -149.4909103740284 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-23T12:06:22Z | 59.8573721155982 | -149.49455764122905 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-23T14:54:35Z | 59.844583539476055 | -149.5010374536963 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-23T17:48:44Z | 59.83124373574982 | -149.5023169564854 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-23T20:30:43Z | 59.83093849959357 | -149.50380757750142 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-23T23:08:52Z | 59.850933204628184 | -149.49932315801215 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-24T01:50:27Z | 59.8685719973238 | -149.49340152781002 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-24T04:32:35Z | 59.86610731534699 | -149.4953872391798 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-24T07:16:23Z | 59.85155306695411 | -149.49499567894793 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-24T09:58:48Z | 59.83599035836313 | -149.50066451322974 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-24T12:42:59Z | 59.82366659662332 | -149.51014411861289 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-24T15:10:15Z | 59.83156459807538 | -149.51306011334825 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-24T17:44:26Z | 59.845808971584475 | -149.50783564591364 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-24T20:28:43Z | 59.862524839504054 | -149.50096320075465 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-24T23:07:50Z | 59.87252860299903 | -149.49633346356862 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-25T01:49:54Z | 59.85641619397177 | -149.50177040036976 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-25T04:31:57Z | 59.83978221982717 | -149.50753868208417 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-25T07:07:31Z | 59.82755550752873 | -149.51055577136964 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-25T09:27:29Z | 59.82559473609717 | -149.51116851943735 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-25T11:58:00Z | 59.84224348579783 | -149.51948454643485 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-25T14:17:07Z | 59.85704044759661 | -149.5147189104304 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-25T16:42:23Z | 59.8712475324647 | -149.50890260838707 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-25T19:18:41Z | 59.86867870791831 | -149.50500120804307 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-25T21:58:14Z | 59.85627983483124 | -149.51097324542263 | ||||||
unit_507-20220212T0000 | 4802989 | 2022-03-26T00:12:09Z | 59.84653797943212 | -149.51639259075466 |
In total, there are 45 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.