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Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "Deepwater CTD - 00596778.bdo.nc - 21.88N, -85.47W - 1970-04-19"
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Institution: | Texas A&M University, Department of Oceanography (Dataset ID: deepwater_00596778_bdo) |
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)
depth | temperature | salinity | oxygen | nitrite | nitrate | phosphate | silicate | salinity2 | qualityFlag |
---|---|---|---|---|---|---|---|---|---|
m | degree_C | PSU | milliliters per liter | not-measured | not-measured | not-measured | micromols | PSU | |
0.0 | 27.489999771118164 | 35.80400085449219 | 4.639999866485596 | 1.0 | 0.0 | ||||
30.0 | 27.440000534057617 | 35.790000915527344 | 4.630000114440918 | 1.0 | 0.0 | ||||
60.0 | 27.09000015258789 | 35.75699996948242 | 4.679999828338623 | 1.0 | 0.0 | ||||
79.0 | 26.809999465942383 | 35.81399917602539 | 4.440000057220459 | 1.0 | 0.0 | ||||
99.0 | 26.1200008392334 | 35.97999954223633 | 4.579999923706055 | 1.0 | 0.0 | ||||
119.0 | 25.3799991607666 | 35.986000061035156 | 4.630000114440918 | 1.0 | 0.0 | ||||
138.0 | 25.18000030517578 | 36.25600051879883 | 4.269999980926514 | 1.0 | 0.0 | ||||
158.0 | 24.579999923706055 | 36.54600143432617 | 3.9800000190734863 | 1.0 | 0.0 | ||||
178.0 | 23.31999969482422 | 36.75 | 3.5899999141693115 | 1.0 | 0.0 | ||||
197.0 | 22.299999237060547 | 36.78499984741211 | 3.5299999713897705 | 1.0 | 0.0 | ||||
227.0 | 20.530000686645508 | 36.70199966430664 | 3.4700000286102295 | 1.0 | 0.0 | ||||
257.0 | 19.110000610351562 | 36.57600021362305 | 3.7200000286102295 | 2.0 | 0.0 | ||||
297.0 | 17.8799991607666 | 36.44300079345703 | 3.740000009536743 | 2.0 | 0.0 | ||||
347.0 | 16.65999984741211 | 36.250999450683594 | 3.9200000762939453 | 3.0 | 0.0 | ||||
396.0 | 15.59000015258789 | 36.060001373291016 | 3.440000057220459 | 4.0 | 0.0 | ||||
446.0 | 14.34000015258789 | 35.84000015258789 | 3.440000057220459 | 6.0 | 0.0 | ||||
496.0 | 12.890000343322754 | 35.60599899291992 | 2.990000009536743 | 8.0 | 0.0 | ||||
546.0 | 11.760000228881836 | 35.43299865722656 | 3.119999885559082 | 10.0 | 0.0 | ||||
550.0 | 11.739999771118164 | 35.43299865722656 | 3.1600000858306885 | 10.0 | 0.0 | ||||
650.0 | 8.84000015258789 | 35.02899932861328 | 3.1600000858306885 | 16.0 | 0.0 | ||||
750.0 | 7.46999979019165 | 34.89799880981445 | 3.109999895095825 | 19.0 | 0.0 | ||||
824.0 | 6.760000228881836 | 34.86600112915039 | 3.619999885559082 | 21.0 | 0.0 | ||||
899.0 | 6.039999961853027 | 34.867000579833984 | 3.759999990463257 | 22.0 | 0.0 | ||||
1098.0 | 4.760000228881836 | 34.93299865722656 | 4.519999980926514 | 21.0 | 0.0 | ||||
1339.0 | 4.409999847412109 | 34.95000076293945 | 4.900000095367432 | 21.0 | 0.0 | ||||
1648.0 | 4.21999979019165 | 34.9739990234375 | 5.340000152587891 | 19.0 | 0.0 | ||||
2070.0 | 4.139999866485596 | 34.98099899291992 | 5.769999980926514 | 16.0 | 0.0 | ||||
2116.0 | 4.139999866485596 | 34.981998443603516 | 5.519999980926514 | 16.0 | 0.0 |
In total, there are 28 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.