Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "Deepwater CTD - 00596259.bdo.nc - 23.76N, -83.85W - 1970-04-10" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: deepwater_00596259_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 | 23.989999771118164 | 36.08700180053711 | 5.0 | 1.0 | 0.0 | ||||
20.0 | 22.780000686645508 | 36.10100173950195 | 5.119999885559082 | 1.0 | 0.0 | ||||
40.0 | 20.899999618530273 | 36.22200012207031 | 5.199999809265137 | 1.0 | 0.0 | ||||
70.0 | 19.889999389648438 | 36.275001525878906 | 4.820000171661377 | 1.0 | 0.0 | ||||
100.0 | 18.3799991607666 | 36.250999450683594 | 4.170000076293945 | 2.0 | 0.0 | ||||
120.0 | 17.469999313354492 | 36.21500015258789 | 3.5999999046325684 | 3.0 | 0.0 | ||||
140.0 | 16.360000610351562 | 36.13199996948242 | 3.4800000190734863 | 5.0 | 0.0 | ||||
160.0 | 15.40999984741211 | 36.01499938964844 | 3.0899999141693115 | 6.0 | 0.0 | ||||
180.0 | 14.239999771118164 | 35.840999603271484 | 3.309999942779541 | 7.0 | 0.0 | ||||
200.0 | 13.460000038146973 | 35.715999603271484 | 3.0 | 8.0 | 0.0 | ||||
230.0 | 12.430000305175781 | 35.558998107910156 | 3.359999895095825 | 9.0 | 0.0 | ||||
260.0 | 11.4399995803833 | 35.409000396728516 | 2.9000000953674316 | 11.0 | 0.0 | ||||
300.0 | 10.180000305175781 | 35.224998474121094 | 3.0399999618530273 | 13.0 | 0.0 | ||||
350.0 | 9.239999771118164 | 35.099998474121094 | 2.819999933242798 | 15.0 | 0.0 | ||||
400.0 | 8.460000038146973 | 35.00400161743164 | 3.059999942779541 | 17.0 | 0.0 | ||||
450.0 | 8.109999656677246 | 34.9739990234375 | 2.9000000953674316 | 18.0 | 0.0 | ||||
500.0 | 7.380000114440918 | 34.9119987487793 | 3.1700000762939453 | 20.0 | 0.0 | ||||
550.0 | 6.78000020980835 | 34.869998931884766 | 3.109999895095825 | 21.0 | 0.0 | ||||
560.0 | 6.650000095367432 | 34.875 | 3.140000104904175 | 22.0 | 0.0 | ||||
707.0 | 5.480000019073486 | 34.9010009765625 | 3.690000057220459 | 24.0 | 0.0 | ||||
856.0 | 5.039999961853027 | 34.92499923706055 | 4.050000190734863 | 24.0 | 0.0 | ||||
980.0 | 4.599999904632568 | 34.94900131225586 | 4.159999847412109 | 24.0 | 0.0 | ||||
1103.0 | 4.440000057220459 | 34.952999114990234 | 4.699999809265137 | 23.0 | 0.0 | ||||
1351.0 | 4.25 | 34.97200012207031 | 5.0 | 23.0 | 0.0 | ||||
1650.0 | 4.21999979019165 | 34.979000091552734 | 5.150000095367432 | 22.0 | 0.0 | ||||
1899.0 | 4.199999809265137 | 34.979000091552734 | 5.28000020980835 | 21.0 | 0.0 | ||||
2274.0 | 4.170000076293945 | 34.992000579833984 | 5.599999904632568 | 18.0 | 1.0 | ||||
2324.0 | 4.179999828338623 | 34.987998962402344 | 5.610000133514404 | 18.0 | 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.