Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "Deepwater CTD - 00572300.bdo.nc - 21.72N, -85.39W - 1969-06-00" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: deepwater_00572300_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 | not-measured | PSU | |
0.0 | 28.899999618530273 | 36.055999755859375 | -99.98999786376953 | 0.0 | |||||
30.0 | 28.950000762939453 | 36.03099822998047 | 4.059999942779541 | 0.0 | |||||
50.0 | 27.56999969482422 | 36.08599853515625 | 4.289999961853027 | 0.0 | |||||
70.0 | 26.920000076293945 | 36.16600036621094 | 4.170000076293945 | 0.0 | |||||
100.0 | 25.920000076293945 | 36.25199890136719 | 4.019999980926514 | 0.0 | |||||
120.0 | 25.600000381469727 | 36.49399948120117 | 3.859999895095825 | 0.0 | |||||
140.0 | 24.25 | 36.637001037597656 | 3.640000104904175 | 0.0 | |||||
160.0 | 22.760000228881836 | 36.737998962402344 | 3.380000114440918 | 0.0 | |||||
180.0 | 21.049999237060547 | 36.73500061035156 | 3.359999895095825 | 0.0 | |||||
200.0 | 20.079999923706055 | 36.67499923706055 | 3.490000009536743 | 0.0 | |||||
230.0 | 18.940000534057617 | 36.564998626708984 | 3.390000104904175 | 0.0 | |||||
260.0 | 17.969999313354492 | 36.45000076293945 | 3.5199999809265137 | 0.0 | |||||
290.0 | 17.239999771118164 | 36.34000015258789 | 3.4700000286102295 | 0.0 | |||||
320.0 | 16.719999313354492 | 36.26499938964844 | 3.5 | 0.0 | |||||
360.0 | 15.960000038146973 | 36.13199996948242 | 3.3399999141693115 | 0.0 | |||||
400.0 | 14.670000076293945 | 35.9119987487793 | 3.0999999046325684 | 0.0 | |||||
450.0 | 12.979999542236328 | 35.63399887084961 | 2.799999952316284 | 0.0 | |||||
529.0 | 11.239999771118164 | 35.35200119018555 | 2.740000009536743 | 0.0 | |||||
579.0 | 10.140000343322754 | 35.20800018310547 | 2.7300000190734863 | 0.0 | |||||
629.0 | 8.989999771118164 | 35.051998138427734 | 2.700000047683716 | 0.0 | |||||
679.0 | 8.699999809265137 | 35.00899887084961 | 2.700000047683716 | 0.0 | |||||
729.0 | 7.730000019073486 | 34.90800094604492 | 2.819999933242798 | 1.0 | |||||
779.0 | 7.119999885559082 | 34.862998962402344 | 2.8399999141693115 | 0.0 | |||||
829.0 | 6.730000019073486 | 34.847999572753906 | 2.940000057220459 | 1.0 | |||||
928.0 | 5.53000020980835 | 34.87799835205078 | 3.490000009536743 | 1.0 | |||||
1028.0 | 5.159999847412109 | 34.900001525878906 | 3.7100000381469727 | 0.0 | |||||
1225.0 | 4.460000038146973 | 34.946998596191406 | 4.309999942779541 | 0.0 | |||||
1471.0 | 4.320000171661377 | 34.9640007019043 | 4.550000190734863 | 0.0 | |||||
1668.0 | 4.159999847412109 | 34.972999572753906 | 4.840000152587891 | 0.0 |
In total, there are 29 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.