Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "Deepwater CTD - 00596911.bdo.nc - 21.64N, -86.12W - 1970-04-20" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: deepwater_00596911_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 | 27.260000228881836 | 35.86199951171875 | 4.409999847412109 | 1.0 | 0.0 | ||||
39.0 | 27.15999984741211 | 35.8380012512207 | 4.679999828338623 | 1.0 | 0.0 | ||||
59.0 | 26.950000762939453 | 35.85300064086914 | 4.730000019073486 | 1.0 | 0.0 | ||||
78.0 | 25.65999984741211 | 36.17300033569336 | 4.460000038146973 | 1.0 | 0.0 | ||||
98.0 | 24.459999084472656 | 36.52899932861328 | 3.8399999141693115 | 1.0 | 0.0 | ||||
117.0 | 23.139999389648438 | 36.7599983215332 | 3.75 | 1.0 | 0.0 | ||||
136.0 | 21.06999969482422 | 36.74399948120117 | 3.5899999141693115 | 1.0 | 0.0 | ||||
155.0 | 19.68000030517578 | 36.619998931884766 | 3.2799999713897705 | 2.0 | 0.0 | ||||
175.0 | 18.34000015258789 | 36.47600173950195 | 3.630000114440918 | 2.0 | 0.0 | ||||
194.0 | 17.579999923706055 | 36.3849983215332 | 3.509999990463257 | 2.0 | 0.0 | ||||
223.0 | 17.420000076293945 | 36.362998962402344 | 3.7799999713897705 | 2.0 | 0.0 | ||||
252.0 | 16.8700008392334 | 36.28799819946289 | 3.5999999046325684 | 3.0 | 0.0 | ||||
290.0 | 15.739999771118164 | 36.090999603271484 | 3.6700000762939453 | 4.0 | 0.0 | ||||
339.0 | 14.5 | 35.874000549316406 | 3.2100000381469727 | 5.0 | 0.0 | ||||
388.0 | 12.859999656677246 | 35.611000061035156 | 3.200000047683716 | 7.0 | 0.0 | ||||
437.0 | 11.770000457763672 | 35.43899917602539 | 2.880000114440918 | 9.0 | 0.0 | ||||
486.0 | 10.319999694824219 | 35.233001708984375 | 3.059999942779541 | 11.0 | 0.0 | ||||
536.0 | 9.40999984741211 | 35.10200119018555 | 2.759999990463257 | 13.0 | 0.0 | ||||
589.0 | 8.3100004196167 | 34.97800064086914 | 3.059999942779541 | 15.0 | 0.0 | ||||
681.0 | 7.300000190734863 | 34.8849983215332 | 2.940000057220459 | 18.0 | 0.0 | ||||
750.0 | 6.559999942779541 | 34.856998443603516 | 3.369999885559082 | 20.0 | 0.0 | ||||
819.0 | 5.820000171661377 | 34.87300109863281 | 3.5199999809265137 | 21.0 | 0.0 | ||||
889.0 | 5.440000057220459 | 34.89699935913086 | 3.940000057220459 | 21.0 | 0.0 | ||||
959.0 | 5.159999847412109 | 34.915000915527344 | 3.9200000762939453 | 21.0 | 0.0 | ||||
1171.0 | 4.619999885559082 | 34.946998596191406 | 4.610000133514404 | 22.0 | 0.0 | ||||
1410.0 | 4.300000190734863 | 34.96900177001953 | 5.0 | 21.0 | 0.0 | ||||
1607.0 | 4.28000020980835 | 34.972999572753906 | 5.070000171661377 | 21.0 | 0.0 | ||||
1657.0 | 4.289999961853027 | 34.974998474121094 | 5.010000228881836 | 21.0 | 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.