Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "Deepwater CTD - 00596759.bdo.nc - 21.74N, -85.81W - 1970-04-18" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: deepwater_00596759_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 | 27.540000915527344 | 35.79600143432617 | 4.690000057220459 | 1.0 | 0.0 | ||||
40.0 | 27.360000610351562 | 35.79899978637695 | 4.710000038146973 | 1.0 | 0.0 | ||||
59.0 | 27.0 | 35.770999908447266 | 4.78000020980835 | 1.0 | 0.0 | ||||
79.0 | 26.8799991607666 | 35.95800018310547 | 4.550000190734863 | 1.0 | 0.0 | ||||
99.0 | 26.139999389648438 | 36.060001373291016 | 4.5 | 1.0 | 0.0 | ||||
118.0 | 25.299999237060547 | 36.0260009765625 | 4.409999847412109 | 1.0 | 0.0 | ||||
138.0 | 24.780000686645508 | 36.47100067138672 | 4.070000171661377 | 1.0 | 0.0 | ||||
157.0 | 23.280000686645508 | 36.729000091552734 | 3.690000057220459 | 1.0 | 0.0 | ||||
177.0 | 21.690000534057617 | 36.77199935913086 | 3.759999990463257 | 1.0 | 0.0 | ||||
197.0 | 20.719999313354492 | 36.72700119018555 | 3.440000057220459 | 2.0 | 0.0 | ||||
226.0 | 18.899999618530273 | 36.534000396728516 | 3.509999990463257 | 2.0 | 0.0 | ||||
255.0 | 17.829999923706055 | 36.40700149536133 | 3.5299999713897705 | 3.0 | 0.0 | ||||
295.0 | 16.68000030517578 | 36.22800064086914 | 3.509999990463257 | 3.0 | 0.0 | ||||
344.0 | 15.140000343322754 | 35.972999572753906 | 3.299999952316284 | 5.0 | 0.0 | ||||
394.0 | 14.039999961853027 | 35.80799865722656 | 3.299999952316284 | 6.0 | 0.0 | ||||
444.0 | 12.460000038146973 | 35.551998138427734 | 3.0799999237060547 | 8.0 | 0.0 | ||||
493.0 | 11.119999885559082 | 35.334999084472656 | 2.9000000953674316 | 10.0 | 0.0 | ||||
543.0 | 10.0 | 35.180999755859375 | 2.9100000858306885 | 13.0 | 0.0 | ||||
622.0 | 8.859999656677246 | 35.06700134277344 | 3.190000057220459 | 16.0 | 0.0 | ||||
741.0 | 8.039999961853027 | 34.948001861572266 | 2.950000047683716 | 18.0 | 0.0 | ||||
838.0 | 6.880000114440918 | 34.86899948120117 | 3.5299999713897705 | 21.0 | 1.0 | ||||
909.0 | 5.639999866485596 | 34.88399887084961 | 3.9700000286102295 | 23.0 | 0.0 | ||||
981.0 | 5.25 | 34.91699981689453 | 3.9800000190734863 | 23.0 | 0.0 | ||||
1054.0 | 4.920000076293945 | 34.92599868774414 | 4.440000057220459 | 23.0 | 0.0 | ||||
1297.0 | 4.460000038146973 | 34.95500183105469 | 4.960000038146973 | 23.0 | 0.0 | ||||
1591.0 | 4.239999771118164 | 34.986000061035156 | 5.139999866485596 | 22.0 | 1.0 | ||||
1863.0 | 4.210000038146973 | 34.98400115966797 | 5.25 | 22.0 | 0.0 | ||||
1913.0 | 4.21999979019165 | 34.98400115966797 | 5.329999923706055 | 21.0 | 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.