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Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "Deepwater CTD - 00722639.bdo.nc - 29.28N, -87.67W - 1975-06-23"
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Institution: | Texas A&M University, Department of Oceanography (Dataset ID: deepwater_00722639_bdo) |
Information: | Summary ![]() ![]() ![]() |
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 | not-measured | not-measured | not-measured | not-measured | not-measured | PSU | |
1.0 | 28.799999237060547 | 32.099998474121094 | 0.0 | ||||||
4.0 | 28.799999237060547 | 32.20000076293945 | 0.0 | ||||||
6.0 | 28.600000381469727 | 32.400001525878906 | 0.0 | ||||||
7.0 | 28.5 | 33.0 | 0.0 | ||||||
8.0 | 28.0 | 34.0 | 0.0 | ||||||
9.0 | 27.5 | 35.0 | 0.0 | ||||||
10.0 | 27.25 | 35.29999923706055 | 0.0 | ||||||
11.0 | 27.0 | 35.599998474121094 | 0.0 | ||||||
17.0 | 26.799999237060547 | 36.0 | 0.0 | ||||||
20.0 | 26.5 | 36.08000183105469 | 0.0 | ||||||
23.0 | 26.0 | 36.130001068115234 | 0.0 | ||||||
25.0 | 25.75 | 36.20000076293945 | 0.0 | ||||||
28.0 | 25.5 | 36.220001220703125 | 0.0 | ||||||
30.0 | 25.0 | 36.22999954223633 | 0.0 | ||||||
33.0 | 24.5 | 36.2599983215332 | 0.0 | ||||||
36.0 | 24.0 | 36.27000045776367 | 0.0 | ||||||
38.0 | 23.5 | 36.2599983215332 | 0.0 | ||||||
40.0 | 23.25 | 36.25 | 0.0 | ||||||
43.0 | 23.0 | 36.2400016784668 | 0.0 | ||||||
50.0 | 22.719999313354492 | 36.290000915527344 | 0.0 | ||||||
52.0 | 22.5 | 36.29999923706055 | 0.0 | ||||||
57.0 | 22.0 | 36.36000061035156 | 0.0 | ||||||
61.0 | 21.799999237060547 | 36.400001525878906 | 0.0 | ||||||
66.0 | 21.5 | 36.470001220703125 | 0.0 | ||||||
72.0 | 21.280000686645508 | 36.5099983215332 | 0.0 | ||||||
75.0 | 21.0 | 36.47999954223633 | 0.0 | ||||||
80.0 | 20.5 | 36.41999816894531 | 0.0 | ||||||
85.0 | 20.0 | 36.439998626708984 | 0.0 | ||||||
94.0 | 19.5 | 36.529998779296875 | 0.0 | ||||||
100.0 | 19.0 | 36.58000183105469 | 0.0 | ||||||
113.0 | 18.5 | 36.54999923706055 | 0.0 | ||||||
119.0 | 18.149999618530273 | 36.5099983215332 | 0.0 | ||||||
125.0 | 18.059999465942383 | 36.5 | 0.0 | ||||||
127.0 | 18.0 | 36.47999954223633 | 0.0 | ||||||
133.0 | 17.5 | 36.439998626708984 | 0.0 | ||||||
144.0 | 17.0 | 36.400001525878906 | 1.0 | ||||||
150.0 | 16.829999923706055 | 36.38999938964844 | 1.0 | ||||||
170.0 | 16.5 | 36.33000183105469 | 1.0 | ||||||
182.0 | 16.0 | 36.2599983215332 | 1.0 | ||||||
195.0 | 15.649999618530273 | 36.20000076293945 | 1.0 | ||||||
200.0 | 15.5 | 36.189998626708984 | 1.0 | ||||||
210.0 | 15.0 | 36.119998931884766 | 1.0 | ||||||
237.0 | 14.5 | 36.040000915527344 | 1.0 | ||||||
247.0 | 14.279999732971191 | 36.0 | 1.0 | ||||||
250.0 | 14.239999771118164 | 35.9900016784668 | 1.0 | ||||||
263.0 | 14.0 | 35.97999954223633 | 1.0 | ||||||
286.0 | 13.5 | 35.869998931884766 | 1.0 | ||||||
300.0 | 13.149999618530273 | 35.83000183105469 | 1.0 | ||||||
303.0 | 13.079999923706055 | 35.81999969482422 | 1.0 |
In total, there are 49 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.