Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "Deepwater CTD - 00294735.bdo.nc - 21.6N, -84.47W - 1958-03-15" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: deepwater_00294735_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 | micromols | not-measured | PSU | |
0.0 | 25.8799991607666 | 36.111000061035156 | 4.5 | 0.07000000029802322 | 0.0 | ||||
50.0 | 25.399999618530273 | 36.13800048828125 | 4.409999847412109 | 0.11999999731779099 | 0.0 | ||||
100.0 | 24.81999969482422 | 36.16699981689453 | 4.53000020980835 | 0.07999999821186066 | 0.0 | ||||
195.0 | 21.229999542236328 | 36.742000579833984 | 3.3399999141693115 | 0.3400000035762787 | 0.0 | ||||
290.0 | 17.850000381469727 | 36.422000885009766 | 3.440000057220459 | 0.6399999856948853 | 0.0 | ||||
390.0 | 15.670000076293945 | 36.06999969482422 | 3.140000104904175 | 1.0099999904632568 | 0.0 | ||||
485.0 | 13.15999984741211 | 35.6510009765625 | 2.819999933242798 | 1.1799999475479126 | 0.0 | ||||
585.0 | 11.0 | 35.323001861572266 | 2.680000066757202 | 1.4700000286102295 | 0.0 | ||||
680.0 | 8.800000190734863 | 35.020999908447266 | 2.680000066757202 | 1.6299999952316284 | 0.0 | ||||
780.0 | 7.130000114440918 | 34.85200119018555 | 2.809999942779541 | 1.809999942779541 | 1.0 | ||||
880.0 | 6.070000171661377 | 34.845001220703125 | 3.0899999141693115 | 1.9600000381469727 | 0.0 | ||||
975.0 | 5.300000190734863 | 34.90599822998047 | 3.640000104904175 | 1.8300000429153442 | 0.0 | ||||
1070.0 | 4.75 | 34.93899917602539 | 3.75 | 1.7699999809265137 | 0.0 | ||||
1170.0 | 4.539999961853027 | 34.96200180053711 | 4.199999809265137 | 1.649999976158142 | 1.0 | ||||
1335.0 | 4.329999923706055 | 34.9640007019043 | 4.480000019073486 | 1.409999966621399 | 0.0 | ||||
1535.0 | 4.21999979019165 | 34.97600173950195 | 4.630000114440918 | 1.409999966621399 | 0.0 | ||||
1730.0 | 4.179999828338623 | 34.98099899291992 | 4.869999885559082 | 1.4199999570846558 | 0.0 | ||||
1925.0 | 4.139999866485596 | 34.987998962402344 | 5.070000171661377 | 1.3600000143051147 | 0.0 | ||||
2125.0 | 4.110000133514404 | 34.99100112915039 | 5.099999904632568 | 1.3799999952316284 | 0.0 | ||||
2325.0 | 4.090000152587891 | 34.986000061035156 | 5.199999809265137 | 1.3600000143051147 | 0.0 | ||||
2520.0 | 4.099999904632568 | 34.992000579833984 | 5.289999961853027 | 1.340000033378601 | 0.0 | ||||
2725.0 | 4.110000133514404 | 34.992000579833984 | 5.21999979019165 | 1.3600000143051147 | 0.0 | ||||
2925.0 | 4.119999885559082 | 34.98899841308594 | 5.269999980926514 | 1.2999999523162842 | 0.0 | ||||
3230.0 | 4.139999866485596 | 34.986000061035156 | 5.239999771118164 | 1.3200000524520874 | 0.0 |
In total, there are 24 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.