Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "Deepwater CTD - 00364661.bdo.nc - 22.8N, -86.44W - 1961-10-30" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: deepwater_00364661_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 | not-measured | not-measured | not-measured | not-measured | not-measured | PSU | |
1.0 | 27.899999618530273 | 0.0 | |||||||
9.0 | 27.93000030517578 | 0.0 | |||||||
28.0 | 27.940000534057617 | 0.0 | |||||||
56.0 | 27.5 | 0.0 | |||||||
84.0 | 26.25 | 0.0 | |||||||
112.0 | 24.700000762939453 | 0.0 | |||||||
140.0 | 23.010000228881836 | 0.0 | |||||||
184.0 | 18.31999969482422 | 0.0 | |||||||
266.0 | 14.699999809265137 | 0.0 |
In total, there are 9 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.