Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "Deepwater CTD - 00596135.bdo.nc - 21.92N, -85.48W - 1970-04-00" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: deepwater_00596135_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 | 26.940000534057617 | 35.803001403808594 | 4.71999979019165 | 1.0 | 0.0 | ||||
30.0 | 26.899999618530273 | 35.803001403808594 | 4.639999866485596 | 1.0 | 0.0 | ||||
50.0 | 26.799999237060547 | 35.827999114990234 | 4.699999809265137 | 1.0 | 0.0 | ||||
75.0 | 25.790000915527344 | 35.880001068115234 | 4.71999979019165 | 1.0 | 0.0 | ||||
100.0 | 25.450000762939453 | 35.96200180053711 | 4.639999866485596 | 1.0 | 0.0 | ||||
120.0 | 25.290000915527344 | 36.17100143432617 | 4.400000095367432 | 1.0 | 0.0 | ||||
140.0 | 24.600000381469727 | 36.48500061035156 | 4.090000152587891 | 1.0 | 0.0 | ||||
160.0 | 23.219999313354492 | 36.749000549316406 | 3.8299999237060547 | 1.0 | 0.0 | ||||
180.0 | 22.020000457763672 | 36.78900146484375 | 3.7100000381469727 | 1.0 | 0.0 | ||||
199.0 | 21.170000076293945 | 36.7599983215332 | 3.440000057220459 | 1.0 | 0.0 | ||||
229.0 | 19.40999984741211 | 36.60599899291992 | 3.630000114440918 | 2.0 | 0.0 | ||||
259.0 | 18.40999984741211 | 36.50299835205078 | -99.98999786376953 | 2.0 | 0.0 | ||||
299.0 | 17.299999237060547 | 36.35200119018555 | 3.700000047683716 | 2.0 | 0.0 | ||||
349.0 | 15.880000114440918 | 36.10599899291992 | 3.430000066757202 | 4.0 | 0.0 | ||||
399.0 | 14.8100004196167 | 35.92499923706055 | 3.5299999713897705 | 5.0 | 0.0 | ||||
449.0 | 13.739999771118164 | 35.75400161743164 | 3.140000104904175 | 6.0 | 0.0 | ||||
499.0 | 12.329999923706055 | 35.529998779296875 | 3.440000057220459 | 9.0 | 0.0 | ||||
549.0 | 10.930000305175781 | 35.332000732421875 | 2.9000000953674316 | 11.0 | 0.0 | ||||
552.0 | 10.890000343322754 | 35.32699966430664 | 3.2300000190734863 | 11.0 | 0.0 | ||||
651.0 | 8.34000015258789 | 34.99300003051758 | 2.8499999046325684 | 17.0 | 0.0 | ||||
751.0 | 6.840000152587891 | 34.87200164794922 | 3.359999895095825 | 20.0 | 0.0 | ||||
850.0 | 6.130000114440918 | -99.98999786376953 | 3.549999952316284 | 22.0 | 0.0 | ||||
950.0 | 5.159999847412109 | 34.92300033569336 | 3.880000114440918 | 23.0 | 0.0 | ||||
1025.0 | 4.940000057220459 | 34.92300033569336 | 4.320000171661377 | 23.0 | 0.0 | ||||
1125.0 | 4.650000095367432 | 34.939998626708984 | 4.559999942779541 | 23.0 | 0.0 | ||||
1226.0 | 4.510000228881836 | 34.95100021362305 | 4.869999885559082 | 23.0 | 0.0 | ||||
1326.0 | 4.420000076293945 | 34.95800018310547 | 4.769999980926514 | 22.0 | 0.0 |
In total, there are 27 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.