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Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "Deepwater CTD - 00596657.bdo.nc - 21.82N, -85.66W - 1970-04-16"
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Institution: | Texas A&M University, Department of Oceanography (Dataset ID: deepwater_00596657_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 | 27.739999771118164 | 35.792999267578125 | 4.760000228881836 | 1.0 | 0.0 | ||||
40.0 | 27.239999771118164 | 35.77199935913086 | 4.690000057220459 | 1.0 | 0.0 | ||||
59.0 | 27.110000610351562 | 35.757999420166016 | 4.710000038146973 | 1.0 | 0.0 | ||||
79.0 | 26.68000030517578 | 35.805999755859375 | 4.710000038146973 | 1.0 | 0.0 | ||||
98.0 | 25.940000534057617 | 35.96200180053711 | 4.630000114440918 | 1.0 | 0.0 | ||||
118.0 | 25.3799991607666 | 35.97600173950195 | 4.71999979019165 | 1.0 | 0.0 | ||||
138.0 | 25.219999313354492 | 36.04399871826172 | 4.519999980926514 | 1.0 | 0.0 | ||||
157.0 | 24.420000076293945 | 36.56100082397461 | 3.7200000286102295 | 1.0 | 0.0 | ||||
177.0 | 22.520000457763672 | 36.78200149536133 | 3.5399999618530273 | 1.0 | 0.0 | ||||
197.0 | 21.649999618530273 | 36.79199981689453 | 3.9200000762939453 | 1.0 | 0.0 | ||||
226.0 | 19.959999084472656 | 36.637001037597656 | -99.98999786376953 | 2.0 | 0.0 | ||||
256.0 | 18.520000457763672 | 36.50199890136719 | 3.5799999237060547 | 2.0 | 0.0 | ||||
296.0 | 17.3799991607666 | 36.35200119018555 | -99.98999786376953 | 3.0 | 0.0 | ||||
345.0 | 16.31999969482422 | 36.17300033569336 | 3.9700000286102295 | 4.0 | 0.0 | ||||
395.0 | 15.010000228881836 | 35.946998596191406 | 3.619999885559082 | 5.0 | 0.0 | ||||
445.0 | 13.079999923706055 | 35.63100051879883 | 3.0199999809265137 | 8.0 | 0.0 | ||||
495.0 | 12.010000228881836 | 35.4640007019043 | 3.1700000762939453 | 10.0 | 0.0 | ||||
545.0 | 10.739999771118164 | 35.26900100708008 | 2.809999942779541 | 12.0 | 1.0 | ||||
581.0 | 9.880000114440918 | 35.14899826049805 | 3.049999952316284 | 14.0 | 1.0 | ||||
681.0 | 8.699999809265137 | 35.0 | 2.799999952316284 | 17.0 | 1.0 | ||||
780.0 | 7.340000152587891 | 34.8849983215332 | 2.9800000190734863 | 20.0 | 0.0 | ||||
855.0 | 6.28000020980835 | 34.854000091552734 | 3.2699999809265137 | 23.0 | 0.0 | ||||
930.0 | 5.539999961853027 | 34.87099838256836 | 3.630000114440918 | 24.0 | 1.0 | ||||
1130.0 | 4.730000019073486 | 34.92599868774414 | 4.53000020980835 | 24.0 | 0.0 | ||||
1379.0 | 4.429999828338623 | 34.94300079345703 | 4.900000095367432 | 23.0 | 0.0 | ||||
1628.0 | 4.260000228881836 | 34.95600128173828 | 5.170000076293945 | 22.0 | 0.0 | ||||
2002.0 | 4.130000114440918 | 34.96799850463867 | 5.78000020980835 | 17.0 | 0.0 | ||||
2051.0 | 4.099999904632568 | 34.97200012207031 | 5.730000019073486 | 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.