Easier access to scientific data
Brought to you by NOAA NMFS SWFSC ERD
|
ERDDAP
Easier access to scientific data |
Brought to you by NOAA NMFS SWFSC ERD |
| Dataset Title: | sg665-20250822T0000
|
| Institution: | University of Miami (Dataset ID: sg665-20250822T0000) |
| Information: | Summary
| License
| FGDC
| ISO 19115
| Metadata
| Background
| Data Access Form
| Files
| Make a graph
|
(Refine the map and/or download the image)
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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 | |||
| 4802949 | sg665-xxx | 1755791566 | 2025-08-21T15:52:46Z | 18.35450591416311 | -69.5958244601785 |
| 4802949 | sg665-xxx | 1755792055 | 2025-08-21T16:00:55Z | 18.354614503257775 | -69.59457041554109 |
| 4802949 | sg665-xxx | 1755794352 | 2025-08-21T16:39:12Z | 18.35531627719756 | -69.58857985311857 |
| 4802949 | sg665-xxx | 1755795250 | 2025-08-21T16:54:10Z | 18.355344181165748 | -69.58619615555082 |
| 4802949 | sg665-xxx | 1755796642 | 2025-08-21T17:17:22Z | 18.356299729723307 | -69.582016295525 |
| 4802949 | sg665-xxx | 1755797572 | 2025-08-21T17:32:52Z | 18.356797869016255 | -69.57968830167226 |
| 4802949 | sg665-xxx | 1755799074 | 2025-08-21T17:57:54Z | 18.357483386422306 | -69.57536272217133 |
| 4802949 | sg665-xxx | 1755799998 | 2025-08-21T18:13:18Z | 18.35782662413546 | -69.57307741602705 |
| 4802949 | sg665-xxx | 1755802015 | 2025-08-21T18:46:55Z | 18.359650525573265 | -69.56675464492722 |
| 4802949 | sg665-xxx | 1755802947 | 2025-08-21T19:02:27Z | 18.360320801659427 | -69.56435499141776 |
| 4802949 | sg665-xxx | 1755804567 | 2025-08-21T19:29:27Z | 18.36098316028806 | -69.55950815318475 |
| 4802949 | sg665-xxx | 1755805662 | 2025-08-21T19:47:42Z | 18.361144716617453 | -69.55769596022766 |
| 4802949 | sg665-xxx | 1755807318 | 2025-08-21T20:15:18Z | 18.36245056099463 | -69.55297755909642 |
| 4802949 | sg665-xxx | 1755808446 | 2025-08-21T20:34:06Z | 18.362991103945767 | -69.55110536145584 |
| 4802949 | sg665-xxx | 1755810548 | 2025-08-21T21:09:08Z | 18.36416935697167 | -69.54662269853986 |
| 4802949 | sg665-xxx | 1755812147 | 2025-08-21T21:35:47Z | 18.365521783150232 | -69.54389287654104 |
| 4802949 | sg665-xxx | 1755814059 | 2025-08-21T22:07:39Z | 18.367481362191278 | -69.5388502386527 |
| 4802949 | sg665-xxx | 1755815222 | 2025-08-21T22:27:02Z | 18.367879253201792 | -69.537260126382 |
| 4802949 | sg665-xxx | 1755817318 | 2025-08-21T23:01:58Z | 18.366415440867442 | -69.53316586386597 |
| 4802949 | sg665-xxx | 1755819074 | 2025-08-21T23:31:14Z | 18.36424293796384 | -69.53071554773351 |
| 4802949 | sg665-xxx | 1755820422 | 2025-08-21T23:53:42Z | 18.36431633983166 | -69.52751020036534 |
| 4802949 | sg665-xxx | 1755821164 | 2025-08-22T00:06:04Z | 18.3651030164041 | -69.52508514107227 |
| 4802949 | sg665-xxx | 1755822631 | 2025-08-22T00:30:31Z | 18.365561201400126 | -69.51972918659665 |
| 4802949 | sg665-xxx | 1755823456 | 2025-08-22T00:44:16Z | 18.365010222878066 | -69.51659520606698 |
| 4802949 | sg665-xxx | 1755824651 | 2025-08-22T01:04:11Z | 18.364169594992426 | -69.51240386340675 |
| 4802949 | sg665-xxx | 1755825478 | 2025-08-22T01:17:58Z | 18.36321285909417 | -69.50970237425913 |
| 4802949 | sg665-xxx | 1755827475 | 2025-08-22T01:51:15Z | 18.360919302396635 | -69.50584320458309 |
| 4802949 | sg665-xxx | 1755829287 | 2025-08-22T02:21:27Z | 18.358332895322288 | -69.5041536362937 |
| 4802949 | sg665-xxx | 1755831509 | 2025-08-22T02:58:29Z | 18.355626430823214 | -69.50166610830992 |
| 4802949 | sg665-xxx | 1755833331 | 2025-08-22T03:28:51Z | 18.3531664222798 | -69.50017823913136 |
| 4802949 | sg665-xxx | 1755835927 | 2025-08-22T04:12:07Z | 18.350874721244136 | -69.49648815778606 |
| 4802949 | sg665-xxx | 1755839073 | 2025-08-22T05:04:33Z | 18.346445912257007 | -69.49344367282279 |
| 4802949 | sg665-xxx | 1755841720 | 2025-08-22T05:48:40Z | 18.343427401555278 | -69.49030721799836 |
| 4802949 | sg665-xxx | 1755844772 | 2025-08-22T06:39:32Z | 18.338726140658473 | -69.48636719083372 |
| 4802949 | sg665-xxx | 1755847471 | 2025-08-22T07:24:31Z | 18.335684137961174 | -69.48304599051123 |
| 4802949 | sg665-xxx | 1755850568 | 2025-08-22T08:16:08Z | 18.33118612118382 | -69.47966118089127 |
| 4802949 | sg665-xxx | 1755853289 | 2025-08-22T09:01:29Z | 18.32814391462086 | -69.4760191680174 |
| 4802949 | sg665-xxx | 1755856290 | 2025-08-22T09:51:30Z | 18.323615520526072 | -69.47194004243812 |
| 4802949 | sg665-xxx | 1755858824 | 2025-08-22T10:33:44Z | 18.32035855506477 | -69.46831467965214 |
| 4802949 | sg665-xxx | 1755861859 | 2025-08-22T11:24:19Z | 18.31678714734192 | -69.46318110633148 |
| 4802949 | sg665-xxx | 1755867088 | 2025-08-22T12:51:28Z | 18.307699156024814 | -69.45725303028262 |
| 4802949 | sg665-xxx | 1755873942 | 2025-08-22T14:45:42Z | 18.29707452926829 | -69.45120629223115 |
| 4802949 | sg665-xxx | 1755880145 | 2025-08-22T16:29:05Z | 18.28684926264656 | -69.44636352647198 |
| 4802949 | sg665-xxx | 1755887132 | 2025-08-22T18:25:32Z | 18.276007067697225 | -69.44031165467086 |
| 4802949 | sg665-xxx | 1755894145 | 2025-08-22T20:22:25Z | 18.26316305055826 | -69.43033892898738 |
| 4802949 | sg665-xxx | 1755902904 | 2025-08-22T22:48:24Z | 18.248611751269713 | -69.41811406029358 |
In total, there are 46 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.