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Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "Deepwater CTD - 00595933.bdo.nc - 21.92N, -85.5W - 1970-04-04"
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Institution: | Texas A&M University, Department of Oceanography (Dataset ID: deepwater_00595933_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 | 26.8799991607666 | 35.81700134277344 | 4.659999847412109 | 1.0 | 0.0 | ||||
40.0 | 26.739999771118164 | 35.819000244140625 | 4.670000076293945 | 1.0 | 0.0 | ||||
70.0 | 26.1200008392334 | 35.90599822998047 | 4.650000095367432 | 1.0 | 0.0 | ||||
79.0 | 25.81999969482422 | 35.94599914550781 | 4.690000057220459 | 1.0 | 0.0 | ||||
99.0 | 25.260000228881836 | 35.96900177001953 | 4.670000076293945 | 1.0 | 0.0 | ||||
119.0 | 25.139999389648438 | 35.974998474121094 | 4.75 | 1.0 | 0.0 | ||||
139.0 | 24.959999084472656 | 35.99700164794922 | 4.630000114440918 | 1.0 | 0.0 | ||||
159.0 | 24.760000228881836 | 36.527000427246094 | 4.019999980926514 | 1.0 | 0.0 | ||||
178.0 | 23.100000381469727 | 36.75699996948242 | 3.7300000190734863 | -99.98999786376953 | 0.0 | ||||
198.0 | 21.860000610351562 | 36.784000396728516 | 3.7899999618530273 | 1.0 | 0.0 | ||||
228.0 | 20.299999237060547 | 36.69599914550781 | 3.7100000381469727 | 2.0 | 0.0 | ||||
258.0 | 19.15999984741211 | 36.58399963378906 | 3.609999895095825 | 2.0 | 0.0 | ||||
297.0 | 17.68000030517578 | 36.382999420166016 | 3.700000047683716 | 3.0 | 0.0 | ||||
347.0 | 16.520000457763672 | 36.21099853515625 | 3.759999990463257 | 3.0 | 0.0 | ||||
396.0 | 15.100000381469727 | 35.96799850463867 | 3.569999933242798 | 5.0 | 0.0 | ||||
446.0 | 13.75 | -99.98999786376953 | 3.390000104904175 | -99.98999786376953 | 0.0 | ||||
495.0 | 12.579999923706055 | 35.555999755859375 | 2.9000000953674316 | 8.0 | 0.0 | ||||
545.0 | 11.039999961853027 | -99.98999786376953 | 3.069999933242798 | 11.0 | 0.0 | ||||
756.0 | 7.760000228881836 | 34.941001892089844 | 3.109999895095825 | 18.0 | 0.0 | ||||
864.0 | 6.28000020980835 | 34.874000549316406 | 3.490000009536743 | 21.0 | 0.0 | ||||
948.0 | 5.630000114440918 | 34.89899826049805 | 3.890000104904175 | 22.0 | 0.0 | ||||
1026.0 | 4.960000038146973 | 34.92100143432617 | 4.079999923706055 | 22.0 | 0.0 | ||||
1115.0 | 4.739999771118164 | 34.93899917602539 | 4.460000038146973 | 22.0 | 0.0 | ||||
1199.0 | 4.550000190734863 | 34.957000732421875 | 4.880000114440918 | 21.0 | 0.0 | ||||
1455.0 | 4.320000171661377 | 34.970001220703125 | 4.71999979019165 | 21.0 | 0.0 | ||||
1751.0 | 4.199999809265137 | 34.98099899291992 | 4.789999961853027 | 20.0 | 0.0 | ||||
2023.0 | 4.119999885559082 | 34.98500061035156 | 5.579999923706055 | 16.0 | 0.0 | ||||
2074.0 | 4.099999904632568 | 34.98699951171875 | 5.480000019073486 | 15.0 | 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.