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Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "Deepwater CTD - 00681463.bdo.nc - 23.87N, -84.78W - 1973-05-19"
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Institution: | Texas A&M University, Department of Oceanography (Dataset ID: deepwater_00681463_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 | 27.200000762939453 | 36.09600067138672 | 4.659999847412109 | 2.0 | 0.0 | ||||
40.0 | 26.84000015258789 | 36.14099884033203 | 4.679999828338623 | 2.0 | 0.0 | ||||
80.0 | 25.940000534057617 | 36.14400100708008 | 4.699999809265137 | 1.0 | 0.0 | ||||
120.0 | 25.420000076293945 | 36.132999420166016 | 4.610000133514404 | 1.0 | 0.0 | ||||
160.0 | 24.68000030517578 | 36.51300048828125 | 4.090000152587891 | 1.0 | 0.0 | ||||
180.0 | 23.290000915527344 | 36.696998596191406 | 3.759999990463257 | 1.0 | 0.0 | ||||
200.0 | 22.100000381469727 | 36.73699951171875 | 3.7200000286102295 | 2.0 | 0.0 | ||||
220.0 | 21.15999984741211 | 36.72999954223633 | 3.640000104904175 | 2.0 | 0.0 | ||||
240.0 | 20.100000381469727 | 36.67100143432617 | 3.740000009536743 | 2.0 | 0.0 | ||||
270.0 | 18.84000015258789 | 36.54999923706055 | 3.630000114440918 | 3.0 | 0.0 | ||||
300.0 | 17.940000534057617 | 36.4640007019043 | 3.7100000381469727 | 3.0 | 0.0 | ||||
350.0 | 17.1299991607666 | 36.34199905395508 | 3.9800000190734863 | 3.0 | 0.0 | ||||
400.0 | 15.920000076293945 | 36.12699890136719 | 3.6700000762939453 | 5.0 | 1.0 | ||||
475.0 | 14.170000076293945 | 35.816001892089844 | 3.25 | 7.0 | 0.0 | ||||
550.0 | 12.0600004196167 | 35.46900177001953 | 2.990000009536743 | 11.0 | 0.0 | ||||
616.0 | 10.5600004196167 | 35.25199890136719 | 3.109999895095825 | 13.0 | 0.0 | ||||
625.0 | 10.420000076293945 | 35.22800064086914 | 2.8399999141693115 | 14.0 | 0.0 | ||||
716.0 | 8.800000190734863 | 35.03099822998047 | 2.7699999809265137 | 18.0 | 0.0 | ||||
815.0 | 7.190000057220459 | 34.887001037597656 | 2.9700000286102295 | 22.0 | 0.0 | ||||
915.0 | 6.260000228881836 | 34.880001068115234 | 3.2699999809265137 | 24.0 | 0.0 | ||||
1115.0 | 5.139999866485596 | 34.91699981689453 | 4.010000228881836 | 26.0 | 0.0 | ||||
1314.0 | 4.489999771118164 | 34.95399856567383 | 4.610000133514404 | 25.0 | 0.0 | ||||
1615.0 | 4.25 | 34.96799850463867 | 4.929999828338623 | 25.0 | 0.0 | ||||
1916.0 | 4.230000019073486 | 34.97600173950195 | 4.96999979019165 | 25.0 | 0.0 | ||||
2218.0 | 4.21999979019165 | -99.98999786376953 | -99.98999786376953 | -99.98999786376953 | 0.0 | ||||
2519.0 | 4.239999771118164 | 34.972999572753906 | 5.119999885559082 | 24.0 | 0.0 | ||||
2819.0 | 4.260000228881836 | 34.974998474121094 | 5.050000190734863 | 24.0 | 0.0 | ||||
3116.0 | 4.289999961853027 | 34.974998474121094 | 5.090000152587891 | 24.0 | 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.