Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "Deepwater CTD - 00596787.bdo.nc - 21.93N, -85.33W - 1970-04-19" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: deepwater_00596787_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 | 27.440000534057617 | 35.8120002746582 | 4.489999771118164 | 1.0 | 0.0 | ||||
30.0 | 27.0 | 35.80799865722656 | 4.75 | 1.0 | 0.0 | ||||
60.0 | 26.100000381469727 | 35.91999816894531 | 4.829999923706055 | 1.0 | 0.0 | ||||
80.0 | 25.959999084472656 | 35.91699981689453 | 4.710000038146973 | 1.0 | 0.0 | ||||
100.0 | 25.56999969482422 | 35.941001892089844 | 4.730000019073486 | 1.0 | 0.0 | ||||
120.0 | 25.360000610351562 | 36.04899978637695 | 4.559999942779541 | 1.0 | 0.0 | ||||
140.0 | 24.739999771118164 | 36.03799819946289 | 4.579999923706055 | 1.0 | 0.0 | ||||
160.0 | 24.549999237060547 | 36.486000061035156 | 4.019999980926514 | 1.0 | 0.0 | ||||
180.0 | 23.1200008392334 | 36.71799850463867 | 3.5999999046325684 | 1.0 | 0.0 | ||||
200.0 | 21.360000610351562 | 36.72600173950195 | 3.5999999046325684 | 1.0 | 0.0 | ||||
230.0 | 20.049999237060547 | 36.66600036621094 | 3.509999990463257 | 2.0 | 0.0 | ||||
260.0 | 18.860000610351562 | 36.542999267578125 | 3.75 | 2.0 | 0.0 | ||||
300.0 | 17.559999465942383 | 36.375999450683594 | 3.6600000858306885 | 3.0 | 0.0 | ||||
350.0 | 16.8700008392334 | 36.26499938964844 | 3.759999990463257 | 3.0 | 0.0 | ||||
400.0 | 15.619999885559082 | 36.06399917602539 | 3.4700000286102295 | 4.0 | 0.0 | ||||
450.0 | 14.329999923706055 | 35.834999084472656 | 3.4600000381469727 | 6.0 | 0.0 | ||||
500.0 | 13.069999694824219 | 35.63399887084961 | 3.049999952316284 | 8.0 | 0.0 | ||||
550.0 | 11.720000267028809 | 35.43199920654297 | 3.140000104904175 | 10.0 | 0.0 | ||||
631.0 | 9.920000076293945 | 35.16299819946289 | 2.819999933242798 | 14.0 | 0.0 | ||||
731.0 | 7.869999885559082 | 34.91999816894531 | 2.9100000858306885 | 19.0 | 1.0 | ||||
806.0 | 6.710000038146973 | 34.854000091552734 | 3.3299999237060547 | 22.0 | 1.0 | ||||
881.0 | 6.25 | 34.86199951171875 | 3.3399999141693115 | 23.0 | 0.0 | ||||
956.0 | 5.579999923706055 | 34.88600158691406 | 3.9100000858306885 | 23.0 | 0.0 | ||||
1031.0 | 4.940000057220459 | 34.92300033569336 | 4.28000020980835 | 23.0 | 0.0 | ||||
1332.0 | 4.360000133514404 | 34.96200180053711 | 5.059999942779541 | 22.0 | 0.0 | ||||
1632.0 | 4.21999979019165 | 34.974998474121094 | 5.349999904632568 | 19.0 | 0.0 | ||||
1907.0 | 4.179999828338623 | 34.97999954223633 | 5.559999942779541 | 17.0 | 0.0 | ||||
1958.0 | 4.159999847412109 | 34.97600173950195 | 5.610000133514404 | 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.