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Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "Deepwater CTD - 00596652.bdo.nc - 21.88N, -85.5W - 1970-04-16"
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Institution: | Texas A&M University, Department of Oceanography (Dataset ID: deepwater_00596652_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 | 27.81999969482422 | 35.79199981689453 | 4.539999961853027 | 1.0 | 0.0 | ||||
20.0 | 27.360000610351562 | 35.779998779296875 | 4.769999980926514 | 1.0 | 0.0 | ||||
50.0 | 27.200000762939453 | 35.78499984741211 | 4.71999979019165 | 1.0 | 0.0 | ||||
80.0 | 26.479999542236328 | 35.86800003051758 | 4.659999847412109 | 1.0 | 0.0 | ||||
100.0 | 25.8799991607666 | 35.965999603271484 | 4.429999828338623 | 1.0 | 0.0 | ||||
119.0 | 25.440000534057617 | 35.98699951171875 | 4.670000076293945 | 1.0 | 0.0 | ||||
139.0 | 25.3700008392334 | 36.284000396728516 | 4.260000228881836 | 1.0 | 0.0 | ||||
159.0 | 24.200000762939453 | 36.62099838256836 | 3.7200000286102295 | 1.0 | 0.0 | ||||
179.0 | 22.860000610351562 | 36.76300048828125 | 3.559999942779541 | 1.0 | 0.0 | ||||
198.0 | 21.520000457763672 | 36.755001068115234 | 3.740000009536743 | 2.0 | 0.0 | ||||
228.0 | 20.219999313354492 | 36.680999755859375 | 3.440000057220459 | 2.0 | 0.0 | ||||
258.0 | 18.829999923706055 | 36.54399871826172 | 3.7799999713897705 | 2.0 | 0.0 | ||||
298.0 | 17.489999771118164 | 36.3650016784668 | 3.619999885559082 | 3.0 | 0.0 | ||||
348.0 | 16.34000015258789 | 36.178001403808594 | 3.809999942779541 | 4.0 | 0.0 | ||||
397.0 | 15.180000305175781 | 35.979000091552734 | 3.369999885559082 | 5.0 | 0.0 | ||||
446.0 | 14.039999961853027 | 35.77000045776367 | 3.440000057220459 | 7.0 | 0.0 | ||||
496.0 | 12.720000267028809 | 35.5890007019043 | 3.049999952316284 | 8.0 | 0.0 | ||||
545.0 | 11.600000381469727 | 35.40599822998047 | 3.180000066757202 | 11.0 | 0.0 | ||||
613.0 | 9.619999885559082 | 35.132999420166016 | 2.930000066757202 | 14.0 | 0.0 | ||||
738.0 | 7.78000020980835 | 34.9379997253418 | 3.140000104904175 | 19.0 | 0.0 | ||||
862.0 | 6.260000228881836 | 34.86399841308594 | 3.2799999713897705 | 23.0 | 0.0 | ||||
938.0 | 5.619999885559082 | 34.89099884033203 | 3.9000000953674316 | 23.0 | 0.0 | ||||
1013.0 | 5.289999961853027 | 34.902000427246094 | 3.869999885559082 | 23.0 | 0.0 | ||||
1213.0 | 4.550000190734863 | 34.95000076293945 | 4.53000020980835 | 23.0 | 0.0 | ||||
1463.0 | 4.340000152587891 | 34.9640007019043 | 5.019999980926514 | 21.0 | 0.0 | ||||
1714.0 | 4.21999979019165 | 34.97700119018555 | 5.289999961853027 | 20.0 | 0.0 | ||||
2089.0 | 4.110000133514404 | 34.98400115966797 | 5.630000114440918 | 16.0 | 0.0 | ||||
2139.0 | 4.119999885559082 | 34.98400115966797 | 5.429999828338623 | 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.