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Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "NEGOM CTD - n2l02s00.nc - 29.78N, 88.75W - 1998-05-15"
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Institution: | OCEAN.TAMU (Dataset ID: negom_n2l02s00) |
Information: | Summary ![]() ![]() ![]() |
To view the map, check View : Map of All 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.
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)
pressure | depth | temperature | potentialTemperature | conductivity | salinity | sigmat | descentRate | transmission | par | parv | fluorescence | backscattering |
---|---|---|---|---|---|---|---|---|---|---|---|---|
dBar | m | degree_C | degree_C | Siemens per meter | PSU | kg m-3 | meters per second | percent | umol m-2 s-1 | volts | volts | volts |
3.5 | 3.5 | 24.86210060119629 | 24.861400604248047 | 4.332699775695801 | 27.97450065612793 | 18.082700729370117 | 0.328000009059906 | 4.15500020980835 | -9.0 | -9.0 | 1.2369999885559082 | 0.23100000619888306 |
4.0 | 4.0 | 24.88789939880371 | 24.887100219726562 | 4.327300071716309 | 27.91990089416504 | 18.034000396728516 | 0.4819999933242798 | 4.136000156402588 | -9.0 | -9.0 | 1.2109999656677246 | 0.20399999618530273 |
4.5 | 4.5 | 24.822200775146484 | 24.821300506591797 | 4.342100143432617 | 28.066699981689453 | 18.16390037536621 | 0.44999998807907104 | 4.191999912261963 | -9.0 | -9.0 | 1.2259999513626099 | 0.1899999976158142 |
5.0 | 5.0 | 24.79490089416504 | 24.793800354003906 | 4.348499774932861 | 28.129600524902344 | 18.21929931640625 | 0.5580000281333923 | 4.21999979019165 | -9.0 | -9.0 | 1.2410000562667847 | 0.1770000010728836 |
5.5 | 5.5 | 24.67970085144043 | 24.678499221801758 | 4.360199928283691 | 28.285400390625 | 18.370500564575195 | 0.5580000281333923 | 4.244999885559082 | -9.0 | -9.0 | 1.1890000104904175 | 0.1469999998807907 |
6.0 | 6.0 | 24.600299835205078 | 24.599000930786133 | 4.3618998527526855 | 28.34779930114746 | 18.44070053100586 | 0.4399999976158142 | 4.235000133514404 | -9.0 | -9.0 | 1.2059999704360962 | 0.15800000727176666 |
6.5 | 6.5 | 24.494199752807617 | 24.492799758911133 | 4.386099815368652 | 28.59040069580078 | 18.654499053955078 | 0.5509999990463257 | 4.23799991607666 | -9.0 | -9.0 | 1.25600004196167 | 0.16200000047683716 |
7.0 | 7.0 | 24.337299346923828 | 24.335800170898438 | 4.4070000648498535 | 28.842100143432617 | 18.889999389648438 | 0.39100000262260437 | 4.230000019073486 | -9.0 | -9.0 | 1.2480000257492065 | 0.15000000596046448 |
7.599999904632568 | 7.5 | 23.890600204467773 | 23.88909912109375 | 4.445700168609619 | 29.416500091552734 | 19.452600479125977 | 0.4779999852180481 | 4.14900016784668 | -9.0 | -9.0 | 1.2619999647140503 | 0.1379999965429306 |
8.100000381469727 | 8.0 | 23.055299758911133 | 23.053699493408203 | 4.591000080108643 | 31.072399139404297 | 20.942699432373047 | 0.31200000643730164 | 4.073999881744385 | -9.0 | -9.0 | 1.4190000295639038 | 0.16200000047683716 |
8.600000381469727 | 8.5 | 21.436800003051758 | 21.435199737548828 | 4.775599956512451 | 33.70500183105469 | 23.390100479125977 | 0.25600001215934753 | 3.990000009536743 | -9.0 | -9.0 | 1.4830000400543213 | 0.1860000044107437 |
9.100000381469727 | 9.0 | 20.443500518798828 | 20.44179916381836 | 4.834099769592285 | 34.973899841308594 | 24.62459945678711 | 0.39399999380111694 | 3.8239998817443848 | -9.0 | -9.0 | 1.503999948501587 | 0.23100000619888306 |
9.600000381469727 | 9.5 | 19.95199966430664 | 19.950199127197266 | 4.846399784088135 | 35.48540115356445 | 25.145200729370117 | 0.2709999978542328 | 3.0510001182556152 | -9.0 | -9.0 | 1.6059999465942383 | 0.34299999475479126 |
10.100000381469727 | 10.0 | 19.73430061340332 | 19.732500076293945 | 4.851099967956543 | 35.708499908447266 | 25.372900009155273 | 0.24400000274181366 | 2.503000020980835 | -9.0 | -9.0 | 1.6929999589920044 | 0.9459999799728394 |
10.600000381469727 | 10.5 | 19.65410041809082 | 19.65220069885254 | 4.85230016708374 | 35.786800384521484 | 25.453699111938477 | 0.27000001072883606 | 2.259000062942505 | -9.0 | -9.0 | 1.7489999532699585 | 1.402999997138977 |
11.100000381469727 | 11.0 | 19.639699935913086 | 19.637699127197266 | 4.852499961853027 | 35.80059814453125 | 25.468000411987305 | 0.34700000286102295 | 2.1700000762939453 | -9.0 | -9.0 | 1.7610000371932983 | 1.6770000457763672 |
11.600000381469727 | 11.5 | 19.63789939880371 | 19.635799407958984 | 4.85290002822876 | 35.805198669433594 | 25.472000122070312 | 0.5640000104904175 | 2.1089999675750732 | -9.0 | -9.0 | 1.7730000019073486 | 1.9160000085830688 |
12.100000381469727 | 12.0 | 19.634199142456055 | 19.631999969482422 | 4.853000164031982 | 35.808998107910156 | 25.475900650024414 | 0.4050000011920929 | 2.1040000915527344 | -9.0 | -9.0 | 1.7860000133514404 | 2.1549999713897705 |
12.600000381469727 | 12.5 | 19.6294002532959 | 19.627099990844727 | 4.853300094604492 | 35.81549835205078 | 25.482099533081055 | 0.32600000500679016 | 2.1010000705718994 | -9.0 | -9.0 | 1.7899999618530273 | 2.11899995803833 |
13.100000381469727 | 13.0 | 19.622900009155273 | 19.620500564575195 | 4.852799892425537 | 35.817100524902344 | 25.48509979248047 | 0.11400000005960464 | 2.0380001068115234 | -9.0 | -9.0 | 1.7999999523162842 | 2.2660000324249268 |
In total, there are 20 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.