Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "Deepwater CTD - 00596248.bdo.nc - 23.56N, -84.17W - 1970-04-10" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: deepwater_00596248_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 | 23.610000610351562 | 36.03300094604492 | 5.03000020980835 | 1.0 | 0.0 | ||||
15.0 | 23.610000610351562 | 36.04100036621094 | 4.96999979019165 | 1.0 | 0.0 | ||||
30.0 | 22.200000762939453 | 36.07899856567383 | 5.130000114440918 | 1.0 | 0.0 | ||||
70.0 | 20.010000228881836 | 36.27399826049805 | 4.989999771118164 | 1.0 | 0.0 | ||||
100.0 | 19.690000534057617 | 36.28799819946289 | 4.690000057220459 | 1.0 | 0.0 | ||||
120.0 | 18.56999969482422 | 36.25899887084961 | 4.239999771118164 | 2.0 | 0.0 | ||||
140.0 | 17.959999084472656 | 36.23899841308594 | 3.950000047683716 | 3.0 | 0.0 | ||||
160.0 | 17.260000228881836 | 36.2400016784668 | 3.700000047683716 | 4.0 | 0.0 | ||||
180.0 | 16.34000015258789 | 36.117000579833984 | 3.4600000381469727 | 5.0 | 0.0 | ||||
200.0 | 15.380000114440918 | 36.00600051879883 | 3.390000104904175 | 6.0 | 0.0 | ||||
230.0 | 14.15999984741211 | 35.82600021362305 | 3.049999952316284 | 7.0 | 0.0 | ||||
260.0 | 12.989999771118164 | 35.64099884033203 | 3.140000104904175 | 9.0 | 0.0 | ||||
300.0 | 11.369999885559082 | 35.39899826049805 | 2.819999933242798 | 10.0 | 0.0 | ||||
350.0 | 10.020000457763672 | 35.202999114990234 | 2.9600000381469727 | 14.0 | 0.0 | ||||
400.0 | 8.760000228881836 | 35.04199981689453 | 2.8399999141693115 | 17.0 | 0.0 | ||||
450.0 | 7.960000038146973 | 34.95500183105469 | 3.0999999046325684 | 19.0 | 0.0 | ||||
500.0 | 7.369999885559082 | 34.91699981689453 | 3.009999990463257 | 20.0 | 0.0 | ||||
550.0 | 6.940000057220459 | 34.88999938964844 | 3.259999990463257 | 21.0 | 0.0 | ||||
608.0 | 6.5 | 34.880001068115234 | 3.4100000858306885 | 22.0 | 0.0 | ||||
707.0 | 5.75 | 34.88999938964844 | 3.4800000190734863 | 23.0 | 0.0 | ||||
806.0 | 5.380000114440918 | 34.902000427246094 | 4.0 | 24.0 | 0.0 | ||||
905.0 | 4.980000019073486 | 34.92300033569336 | 4.28000020980835 | 24.0 | 0.0 | ||||
1004.0 | 4.539999961853027 | 34.946998596191406 | 4.730000019073486 | 24.0 | 0.0 | ||||
1252.0 | 4.289999961853027 | 34.95800018310547 | 4.940000057220459 | 23.0 | 0.0 | ||||
1502.0 | 4.21999979019165 | 34.96500015258789 | 4.989999771118164 | 23.0 | 0.0 | ||||
1751.0 | 4.199999809265137 | 34.974998474121094 | 5.21999979019165 | 22.0 | 0.0 | ||||
2002.0 | 4.199999809265137 | 34.97700119018555 | 5.239999771118164 | 22.0 | 0.0 | ||||
2501.0 | 4.159999847412109 | 34.98899841308594 | 5.630000114440918 | 17.0 | 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.