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ERDDAP
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Dataset Title: | Engineering data for PMEL BGC Navis floats
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Institution: | NOAA-PMEL (Dataset ID: argo_eng_navis) |
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)
floatid | time | longitude | latitude |
---|---|---|---|
UTC | degrees_east | degrees_north | |
1460 | 2022-08-18T23:21:10Z | -125.8864 | 42.8757 |
1460 | 2022-08-19T16:33:26Z | -125.8545 | 42.8436 |
1460 | 2022-08-30T00:21:25Z | -125.6666 | 42.5663 |
1460 | 2022-09-09T06:07:37Z | -125.4655 | 42.45 |
1460 | 2022-09-19T15:14:55Z | -125.2691 | 42.3552 |
1460 | 2022-09-29T20:56:10Z | -125.256 | 42.1833 |
1460 | 2022-10-10T01:17:31Z | -125.228 | 42.0634 |
1460 | 2022-10-20T05:34:49Z | -125.0744 | 42.1276 |
1460 | 2022-10-30T10:26:41Z | -125.0541 | 42.1959 |
1460 | 2022-11-09T14:44:04Z | -125.1479 | 42.0947 |
1460 | 2022-11-19T19:12:11Z | -125.3446 | 42.3999 |
1460 | 2022-11-29T23:10:02Z | -125.2996 | 42.9346 |
1460 | 2022-12-10T03:21:33Z | -125.422 | 43.4184 |
1460 | 2022-12-20T07:51:46Z | -125.6553 | 43.6848 |
1460 | 2022-12-30T12:23:13Z | -125.6356 | 43.8732 |
1460 | 2023-01-09T17:33:58Z | -125.5991 | 44.0328 |
1460 | 2023-01-19T22:43:45Z | -125.5201 | 44.3517 |
1460 | 2023-01-30T04:05:51Z | -125.5963 | 44.5216 |
1460 | 2023-02-09T09:22:09Z | -125.6247 | 44.6361 |
1460 | 2023-02-19T14:16:32Z | -125.6422 | 44.7222 |
1460 | 2023-03-01T19:13:21Z | -125.746 | 44.9248 |
1460 | 2023-03-12T00:07:38Z | -125.8201 | 45.1147 |
1460 | 2023-03-22T04:55:35Z | -126.0045 | 45.2317 |
1460 | 2023-04-01T09:48:25Z | -126.1579 | 45.4662 |
1460 | 2023-04-11T14:46:26Z | -126.1626 | 45.7518 |
1460 | 2023-04-21T19:17:44Z | -126.0833 | 45.9146 |
1460 | 2023-05-02T00:16:31Z | -126.0236 | 46.0787 |
1460 | 2023-05-12T05:11:37Z | -126.0365 | 46.2558 |
1460 | 2023-05-22T09:59:27Z | -126.104 | 46.4039 |
1460 | 2023-06-01T15:08:19Z | -126.0855 | 46.5339 |
1460 | 2023-06-11T20:08:17Z | -125.9234 | 46.6268 |
1460 | 2023-06-22T03:19:23Z | -125.7573 | 46.7152 |
1460 | 2023-07-02T10:08:40Z | -125.5705 | 46.5737 |
1460 | 2023-07-12T14:39:00Z | -125.7237 | 46.3668 |
1460 | 2023-07-22T19:20:49Z | -126.0185 | 46.237 |
1460 | 2023-08-01T23:53:36Z | -126.3828 | 46.2593 |
1460 | 2023-08-12T04:55:33Z | -126.6036 | 46.3442 |
1460 | 2023-08-22T10:00:37Z | -126.5851 | 46.5267 |
1460 | 2023-09-01T16:02:11Z | -126.3637 | 46.7141 |
1460 | 2023-09-11T21:16:12Z | -126.1946 | 46.8593 |
1460 | 2023-09-22T02:08:02Z | -125.9413 | 46.8838 |
1460 | 2023-10-02T09:45:55Z | -125.7505 | 46.7896 |
1460 | 2023-10-12T17:07:44Z | -125.6718 | 46.7214 |
1460 | 2023-10-23T00:33:10Z | -125.5527 | 46.7673 |
1460 | 2023-11-02T07:32:02Z | -125.4905 | 46.8478 |
1460 | 2023-11-12T15:06:59Z | -125.4192 | 46.9669 |
1460 | 2023-11-22T22:14:14Z | -125.3823 | 47.0598 |
1460 | 2023-12-03T05:36:29Z | -125.5455 | 46.8162 |
1461 | 2022-08-19T22:31:40Z | -124.8684 | 38.9506 |
1461 | 2022-08-20T15:31:56Z | -124.831 | 38.924 |
1461 | 2022-08-30T20:59:02Z | -124.4965 | 38.6918 |
1461 | 2022-09-10T02:49:04Z | -124.6806 | 38.3534 |
1461 | 2022-09-20T08:38:34Z | -125.0124 | 38.2025 |
1461 | 2022-09-30T15:51:37Z | -124.9241 | 38.3441 |
1461 | 2022-10-10T21:37:02Z | -124.5835 | 38.4179 |
1461 | 2022-10-21T05:14:29Z | -124.3276 | 38.3785 |
1461 | 2022-10-31T11:43:47Z | -124.0939 | 38.2584 |
1461 | 2022-11-10T18:57:40Z | -124.0502 | 38.4788 |
1461 | 2022-11-21T00:33:44Z | -124.4413 | 38.8202 |
1461 | 2022-12-01T07:47:28Z | -124.8231 | 38.8111 |
1461 | 2022-12-11T13:22:26Z | -124.8706 | 38.7233 |
1461 | 2022-12-21T20:01:32Z | -124.9251 | 38.8162 |
1461 | 2023-01-01T03:13:25Z | -125.1238 | 38.8914 |
1461 | 2023-01-11T09:02:18Z | -125.7426 | 38.9581 |
1461 | 2023-01-21T16:47:55Z | -126.2534 | 39.2685 |
1461 | 2023-01-31T22:32:17Z | -126.786 | 39.4773 |
1461 | 2023-02-11T05:42:03Z | -127.2861 | 39.7812 |
1461 | 2023-02-21T11:31:13Z | -128.2325 | 39.8671 |
1461 | 2023-03-03T17:05:08Z | -129.0992 | 40.1496 |
1461 | 2023-03-14T00:15:54Z | -129.1307 | 40.5129 |
1461 | 2023-03-24T05:27:02Z | -128.7126 | 40.6535 |
1461 | 2023-04-03T12:07:32Z | -128.2062 | 40.626 |
1461 | 2023-04-13T19:13:46Z | -127.7136 | 40.4639 |
1461 | 2023-04-24T01:57:24Z | -127.3207 | 40.3897 |
1461 | 2023-05-04T07:08:39Z | -127.0645 | 40.2797 |
1461 | 2023-05-14T12:35:46Z | -126.6979 | 40.3543 |
1461 | 2023-05-24T19:03:10Z | -126.2508 | 40.3209 |
1461 | 2023-06-04T03:15:16Z | -125.7887 | 40.2544 |
1461 | 2023-06-14T10:13:42Z | -125.7441 | 40.5613 |
1461 | 2023-06-24T17:17:01Z | -125.8195 | 41.0036 |
1461 | 2023-07-04T23:01:55Z | -126.0102 | 41.4609 |
1461 | 2023-07-15T06:26:08Z | -125.6855 | 41.6276 |
1461 | 2023-07-25T12:12:10Z | -125.3389 | 41.7099 |
1461 | 2023-08-04T19:38:32Z | -125.2342 | 41.9597 |
1461 | 2023-08-14T23:46:10Z | -125.0422 | 42.1661 |
1461 | 2023-08-25T03:22:37Z | -125.198 | 41.8331 |
1461 | 2023-09-04T07:29:27Z | -125.015 | 41.8029 |
1461 | 2023-09-14T11:37:47Z | -124.9183 | 41.6912 |
1461 | 2023-09-24T15:25:10Z | -124.9289 | 41.8198 |
1461 | 2023-10-04T19:18:58Z | -125.0761 | 41.7578 |
1461 | 2023-10-14T23:54:21Z | -125.1937 | 42.0408 |
1461 | 2023-10-25T04:11:11Z | -125.4476 | 42.0857 |
1461 | 2023-11-04T08:29:48Z | -125.6703 | 42.0234 |
1461 | 2023-11-14T13:57:05Z | -125.5477 | 42.1037 |
1461 | 2023-11-24T19:26:19Z | -125.2019 | 42.2477 |
1461 | 2023-12-05T02:04:34Z | -125.2554 | 41.9858 |
In total, there are 96 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.