Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "Deepwater CTD - 90g1513.bdo.nc - 25.67N, -88.67W - 1990-07-15" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: deepwater_90g1513_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 | micromols per liter | micromols | micromols per liter | micromols per liter | PSU | |
4.0 | 28.530000686645508 | 4.817999839782715 | 0.009999999776482582 | 0.0 | 0.029999999329447746 | 0.5 | 0.0 | ||
19.0 | 28.540000915527344 | 4.821000099182129 | 0.009999999776482582 | 0.0 | 0.05999999865889549 | 0.5 | 0.0 | ||
39.0 | 28.610000610351562 | 4.696000099182129 | 0.009999999776482582 | 0.0 | 0.019999999552965164 | 0.4000000059604645 | 0.0 | ||
59.0 | 26.329999923706055 | 5.446000099182129 | 0.009999999776482582 | 0.0 | 0.019999999552965164 | 0.30000001192092896 | 0.0 | ||
62.0 | 26.1200008392334 | 5.73799991607666 | 0.03999999910593033 | 0.0 | 0.03999999910593033 | 0.30000001192092896 | 0.0 | ||
74.0 | 24.959999084472656 | 5.321000099182129 | 0.019999999552965164 | 0.10000000149011612 | 0.019999999552965164 | 0.30000001192092896 | 0.0 | ||
89.0 | 24.239999771118164 | 5.078999996185303 | 0.03999999910593033 | 0.0 | 0.019999999552965164 | 0.30000001192092896 | 0.0 | ||
104.0 | 23.84000015258789 | 4.8420000076293945 | 0.03999999910593033 | 0.0 | 0.019999999552965164 | 0.30000001192092896 | 0.0 | ||
119.0 | 23.59000015258789 | 4.7179999351501465 | 0.05000000074505806 | 0.0 | 0.019999999552965164 | 0.4000000059604645 | 0.0 | ||
134.0 | 23.209999084472656 | 4.484000205993652 | 0.07999999821186066 | 0.4000000059604645 | 0.03999999910593033 | 0.699999988079071 | 0.0 | ||
149.0 | 22.110000610351562 | 4.408999919891357 | 0.10000000149011612 | 1.100000023841858 | 0.10000000149011612 | 1.100000023841858 | 0.0 | ||
174.0 | 20.829999923706055 | 3.61299991607666 | 0.10000000149011612 | 6.5 | 0.3100000023841858 | 2.0999999046325684 | 0.0 | ||
199.0 | 19.280000686645508 | 3.2320001125335693 | 0.019999999552965164 | 10.0 | 0.44999998807907104 | 2.799999952316284 | 0.0 | ||
251.0 | 17.049999237060547 | 3.2760000228881836 | 0.0 | 14.199999809265137 | 0.7300000190734863 | 5.0 | 0.0 | ||
499.0 | 9.800000190734863 | 2.7909998893737793 | 0.0 | 26.899999618530273 | 1.4800000190734863 | 16.700000762939453 | 0.0 | ||
1492.0 | 4.28000020980835 | 5.181000232696533 | 0.0 | 23.5 | 1.3200000524520874 | 26.299999237060547 | 0.0 | ||
1889.0 | 4.239999771118164 | 5.230000019073486 | 0.0 | 23.0 | 1.340000033378601 | 25.700000762939453 | 0.0 | ||
2289.0 | 4.260000228881836 | 5.294000148773193 | 0.0 | 22.200000762939453 | 1.309999942779541 | 25.799999237060547 | 0.0 |
In total, there are 18 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.