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Dataset Title: | nori-20250625T0000
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Institution: | University of Southern Mississippi (Dataset ID: nori-20250625T0000) |
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 | |||
8901065 | Nori-20250625T2006 | 1751034247 | 2025-06-27T14:24:07Z | 29.968415260321976 | -88.57376861552876 |
8901065 | Nori-20250625T2006 | 1751039583 | 2025-06-27T15:53:03Z | 29.968621261002323 | -88.57307052139898 |
8901065 | Nori-20250625T2006 | 1751045342 | 2025-06-27T17:29:02Z | 29.96682552519297 | -88.57051456654104 |
8901065 | Nori-20250625T2006 | 1751051632 | 2025-06-27T19:13:52Z | 29.96100337510089 | -88.5659214564385 |
8901065 | Nori-20250625T2006 | 1751057676 | 2025-06-27T20:54:36Z | 29.949299947212033 | -88.55798278376217 |
8901065 | Nori-20250625T2006 | 1751063607 | 2025-06-27T22:33:27Z | 29.933075094431562 | -88.54865946819694 |
8901065 | Nori-20250625T2006 | 1751075300 | 2025-06-28T01:48:20Z | 29.895319022037206 | -88.53455693778935 |
8901065 | Nori-20250625T2006 | 1751081634 | 2025-06-28T03:33:54Z | 29.87792687514485 | -88.52928884502035 |
8901065 | Nori-20250625T2006 | 1751088323 | 2025-06-28T05:25:23Z | 29.86266239649104 | -88.52241475256436 |
8901065 | Nori-20250625T2006 | 1751094782 | 2025-06-28T07:13:02Z | 29.849976632424745 | -88.51558640558271 |
8901065 | Nori-20250625T2006 | 1751108370 | 2025-06-28T10:59:30Z | 29.824753855067318 | -88.5006366194401 |
8901065 | Nori-20250625T2006 | 1751115091 | 2025-06-28T12:51:31Z | 29.811863944392258 | -88.49495664901788 |
8901065 | Nori-20250625T2006 | 1751121713 | 2025-06-28T14:41:53Z | 29.797965106530107 | -88.49017293614554 |
8901065 | Nori-20250625T2006 | 1751128857 | 2025-06-28T16:40:57Z | 29.7816029254405 | -88.48573250303879 |
8901065 | Nori-20250625T2006 | 1751135722 | 2025-06-28T18:35:22Z | 29.762369215990763 | -88.48046435426076 |
8901065 | Nori-20250625T2006 | 1751142728 | 2025-06-28T20:32:08Z | 29.740417566171015 | -88.4748031286981 |
8901065 | Nori-20250625T2006 | 1751149711 | 2025-06-28T22:28:31Z | 29.716005471977113 | -88.46707805810766 |
8901065 | Nori-20250625T2006 | 1751156703 | 2025-06-29T00:25:03Z | 29.690058762985114 | -88.45984577989823 |
8901065 | Nori-20250625T2006 | 1751164000 | 2025-06-29T02:26:40Z | 29.664570853580617 | -88.45455492398527 |
8901065 | Nori-20250625T2006 | 1751171656 | 2025-06-29T04:34:16Z | 29.64390476505441 | -88.44865745429614 |
8901065 | Nori-20250625T2006 | 1751179583 | 2025-06-29T06:46:23Z | 29.627731476781616 | -88.4405892912476 |
8901065 | Nori-20250625T2006 | 1751187396 | 2025-06-29T08:56:36Z | 29.612706287274793 | -88.43236102064398 |
8901065 | Nori-20250625T2006 | 1751195123 | 2025-06-29T11:05:23Z | 29.595752787460903 | -88.42583792839761 |
8901065 | Nori-20250625T2006 | 1751203072 | 2025-06-29T13:17:52Z | 29.577379284955438 | -88.42071863600275 |
8901065 | Nori-20250625T2006 | 1751214897 | 2025-06-29T16:34:57Z | 29.55088520076213 | -88.41357039580082 |
8901065 | Nori-20250625T2006 | 1751220635 | 2025-06-29T18:10:35Z | 29.53761775124116 | -88.4109528697605 |
8901065 | Nori-20250625T2006 | 1751229576 | 2025-06-29T20:39:36Z | 29.515204524026466 | -88.4044982432996 |
8901065 | Nori-20250625T2006 | 1751238948 | 2025-06-29T23:15:48Z | 29.49004512961225 | -88.41560371580013 |
8901065 | Nori-20250625T2006 | 1751248415 | 2025-06-30T01:53:35Z | 29.46297185001981 | -88.44640779608793 |
8901065 | Nori-20250625T2006 | 1751257996 | 2025-06-30T04:33:16Z | 29.435038743352063 | -88.47974119664062 |
8901065 | Nori-20250625T2006 | 1751267996 | 2025-06-30T07:19:56Z | 29.403708548642832 | -88.51283026893469 |
8901065 | Nori-20250625T2006 | 1751278357 | 2025-06-30T10:12:37Z | 29.368600196982346 | -88.54656850380255 |
8901065 | Nori-20250625T2006 | 1751289283 | 2025-06-30T13:14:43Z | 29.33072837919718 | -88.58378154340136 |
8901065 | Nori-20250625T2006 | 1751300221 | 2025-06-30T16:17:01Z | 29.30015741017081 | -88.62801938478998 |
8901065 | Nori-20250625T2006 | 1751311526 | 2025-06-30T19:25:26Z | 29.264870670705996 | -88.6509161921683 |
8901065 | Nori-20250625T2006 | 1751328261 | 2025-07-01T00:04:21Z | 29.19761185633567 | -88.64387804442546 |
8901065 | Nori-20250625T2006 | 1751340418 | 2025-07-01T03:26:58Z | 29.151615192958822 | -88.63868190632945 |
8901065 | Nori-20250625T2006 | 1751356948 | 2025-07-01T08:02:28Z | 29.092038155908604 | -88.63565852975469 |
8901065 | Nori-20250625T2006 | 1751375526 | 2025-07-01T13:12:06Z | 29.069200839531455 | -88.60302588760916 |
8901065 | Nori-20250625T2006 | 1751395165 | 2025-07-01T18:39:25Z | 29.08736680471242 | -88.53817925650924 |
8901065 | Nori-20250625T2006 | 1751414703 | 2025-07-02T00:05:03Z | 29.114839036540737 | -88.47869338875756 |
8901065 | Nori-20250625T2006 | 1751433994 | 2025-07-02T05:26:34Z | 29.14498413552624 | -88.41806019523362 |
8901065 | Nori-20250625T2006 | 1751453119 | 2025-07-02T10:45:19Z | 29.160401725282675 | -88.35505475411743 |
8901065 | Nori-20250627T0806 | 1750929434 | 2025-06-26T09:17:14Z | 30.03845310361837 | -88.60436628029966 |
8901065 | Nori-20250627T0806 | 1750934489 | 2025-06-26T10:41:29Z | 30.041642195208063 | -88.60834118183124 |
8901065 | Nori-20250627T0806 | 1750939194 | 2025-06-26T11:59:54Z | 30.045436873159634 | -88.61252971740394 |
8901065 | Nori-20250627T0806 | 1750943770 | 2025-06-26T13:16:10Z | 30.04921532162692 | -88.61728663452334 |
8901065 | Nori-20250627T0806 | 1750947743 | 2025-06-26T14:22:23Z | 30.055632625648798 | -88.62128813465117 |
8901065 | Nori-20250627T0806 | 1750951780 | 2025-06-26T15:29:40Z | 30.06367121038973 | -88.6278187684453 |
8901065 | Nori-20250627T0806 | 1750955914 | 2025-06-26T16:38:34Z | 30.07123282747266 | -88.6354330813773 |
8901065 | Nori-20250627T0806 | 1750959662 | 2025-06-26T17:41:02Z | 30.075544357300245 | -88.63771057148409 |
8901065 | Nori-20250627T0806 | 1750963549 | 2025-06-26T18:45:49Z | 30.076447541313346 | -88.63584512492133 |
8901065 | Nori-20250627T0806 | 1750971025 | 2025-06-26T20:50:25Z | 30.078182321137657 | -88.63285792758661 |
8901065 | Nori-20250627T0806 | 1750974317 | 2025-06-26T21:45:17Z | 30.068258464005456 | -88.62438531688736 |
8901065 | Nori-20250627T0806 | 1750977930 | 2025-06-26T22:45:30Z | 30.055864441160296 | -88.61485999249338 |
8901065 | Nori-20250627T0806 | 1750982115 | 2025-06-26T23:55:15Z | 30.040481613322402 | -88.60727651756186 |
8901065 | Nori-20250627T0806 | 1750987019 | 2025-06-27T01:16:59Z | 30.024066940939406 | -88.60133340473665 |
8901065 | Nori-20250627T0806 | 1750992403 | 2025-06-27T02:46:43Z | 30.009551070953638 | -88.59701517907808 |
8901065 | Nori-20250627T0806 | 1750997631 | 2025-06-27T04:13:51Z | 29.998918563524114 | -88.59320049894679 |
8901065 | Nori-20250627T0806 | 1751002944 | 2025-06-27T05:42:24Z | 29.99007894255536 | -88.58987797247623 |
8901065 | Nori-20250627T0806 | 1751008147 | 2025-06-27T07:09:07Z | 29.983857189571804 | -88.58640279188887 |
8901065 | Nori-20250627T0806 | 1751013554 | 2025-06-27T08:39:14Z | 29.978710218749196 | -88.58255756378158 |
8901065 | Nori-20250627T0806 | 1751018842 | 2025-06-27T10:07:22Z | 29.973470709244143 | -88.57905951258647 |
8901065 | Nori-20250627T0806 | 1751023821 | 2025-06-27T11:30:21Z | 29.969604507153143 | -88.57617565446117 |
8901065 | Nori-20250627T0806 | 1751029028 | 2025-06-27T12:57:08Z | 29.968139656213996 | -88.57431029841042 |
In total, there are 65 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.