Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "Deepwater CTD - 00596794.bdo.nc - 22.0N, -85.18W - 1970-04-19" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: deepwater_00596794_bdo) |
Information: | Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | Make a graph |
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 | 26.459999084472656 | 35.93299865722656 | 4.769999980926514 | 1.0 | 0.0 | ||||
30.0 | 26.3799991607666 | 35.922000885009766 | 4.739999771118164 | 1.0 | 0.0 | ||||
50.0 | 25.84000015258789 | 35.90599822998047 | 4.940000057220459 | 1.0 | 0.0 | ||||
70.0 | 25.760000228881836 | 35.91400146484375 | 4.900000095367432 | 1.0 | 0.0 | ||||
100.0 | 25.399999618530273 | 35.941001892089844 | 4.820000171661377 | 1.0 | 0.0 | ||||
120.0 | 25.200000762939453 | 36.02899932861328 | 4.599999904632568 | 1.0 | 0.0 | ||||
140.0 | 24.799999237060547 | 36.44499969482422 | 4.170000076293945 | 1.0 | 0.0 | ||||
160.0 | 24.0 | 36.74399948120117 | 3.930000066757202 | 1.0 | 0.0 | ||||
180.0 | 22.059999465942383 | 36.775001525878906 | 4.03000020980835 | 1.0 | 0.0 | ||||
200.0 | 21.18000030517578 | -99.98999786376953 | 4.210000038146973 | 1.0 | 0.0 | ||||
230.0 | 19.670000076293945 | 36.62900161743164 | 3.5 | 2.0 | 0.0 | ||||
260.0 | 18.670000076293945 | 36.527000427246094 | 3.630000114440918 | 2.0 | 0.0 | ||||
300.0 | 17.700000762939453 | 36.39899826049805 | 3.940000057220459 | 2.0 | 0.0 | ||||
350.0 | 16.139999389648438 | 36.16699981689453 | 3.5999999046325684 | 4.0 | 1.0 | ||||
400.0 | 15.470000267028809 | 36.04199981689453 | 3.5399999618530273 | 4.0 | 0.0 | ||||
450.0 | 14.319999694824219 | 35.84700012207031 | 3.309999942779541 | 6.0 | 0.0 | ||||
500.0 | 13.380000114440918 | 35.69499969482422 | 3.4200000762939453 | 7.0 | 0.0 | ||||
550.0 | 12.300000190734863 | 35.51900100708008 | 3.0799999237060547 | 9.0 | 0.0 | ||||
564.0 | 11.520000457763672 | 35.39400100708008 | 3.630000114440918 | 10.0 | 0.0 | ||||
662.0 | 9.640000343322754 | 35.141998291015625 | 3.0199999809265137 | 14.0 | 0.0 | ||||
737.0 | 8.0600004196167 | 34.94499969482422 | 3.440000057220459 | 18.0 | 0.0 | ||||
811.0 | 6.960000038146973 | 34.88199996948242 | 3.2699999809265137 | 21.0 | 0.0 | ||||
885.0 | 6.159999847412109 | 34.88199996948242 | 3.7799999713897705 | 23.0 | 1.0 | ||||
960.0 | 5.579999923706055 | 34.90999984741211 | 4.039999961853027 | 22.0 | 0.0 | ||||
1159.0 | 4.579999923706055 | 34.948001861572266 | 4.960000038146973 | 23.0 | 0.0 | ||||
1360.0 | 4.320000171661377 | 34.96900177001953 | 5.369999885559082 | 21.0 | 0.0 | ||||
1585.0 | 4.239999771118164 | 34.98699951171875 | 5.539999961853027 | 19.0 | 1.0 | ||||
1635.0 | 4.239999771118164 | 34.983001708984375 | 5.630000114440918 | 19.0 | 1.0 |
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.