Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "Deepwater CTD - 00572279.bdo.nc - 21.77N, -85.22W - 1969-06-00" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: deepwater_00572279_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 | 29.200000762939453 | 36.060001373291016 | -99.98999786376953 | 0.0 | |||||
29.0 | 28.940000534057617 | 36.042999267578125 | 3.9600000381469727 | 0.0 | |||||
48.0 | 27.43000030517578 | 35.9900016784668 | 4.260000228881836 | 0.0 | |||||
68.0 | 26.6200008392334 | 36.040000915527344 | 4.329999923706055 | 0.0 | |||||
97.0 | 25.790000915527344 | 36.141998291015625 | 4.059999942779541 | 0.0 | |||||
116.0 | 25.3799991607666 | 36.37300109863281 | 3.809999942779541 | 0.0 | |||||
135.0 | 24.780000686645508 | 36.54999923706055 | 3.640000104904175 | 0.0 | |||||
155.0 | 23.520000457763672 | 36.69599914550781 | 3.4800000190734863 | 0.0 | |||||
174.0 | 22.09000015258789 | 36.75199890136719 | 3.380000114440918 | 0.0 | |||||
194.0 | 20.8799991607666 | 36.71900177001953 | 3.299999952316284 | 0.0 | |||||
223.0 | 19.8700008392334 | 36.6510009765625 | 3.2899999618530273 | 0.0 | |||||
253.0 | 18.93000030517578 | 36.54499816894531 | 3.430000066757202 | 0.0 | |||||
282.0 | 18.079999923706055 | 36.45500183105469 | 3.4000000953674316 | 0.0 | |||||
312.0 | 17.450000762939453 | 36.37799835205078 | 3.559999942779541 | 0.0 | |||||
350.0 | 16.3700008392334 | 36.20000076293945 | 3.4800000190734863 | 0.0 | |||||
390.0 | 15.449999809265137 | 36.04100036621094 | 3.299999952316284 | 0.0 | |||||
439.0 | 13.859999656677246 | 35.77000045776367 | 3.200000047683716 | 0.0 | |||||
489.0 | 12.5 | 35.555999755859375 | 2.9200000762939453 | 0.0 | |||||
538.0 | 11.09000015258789 | 35.32500076293945 | 2.700000047683716 | 0.0 | |||||
606.0 | 9.8100004196167 | 35.145999908447266 | 2.640000104904175 | 0.0 | |||||
655.0 | 8.359999656677246 | 34.96699905395508 | 2.4600000381469727 | 1.0 | |||||
704.0 | 7.96999979019165 | -99.98999786376953 | 2.5299999713897705 | 0.0 | |||||
804.0 | 6.829999923706055 | 34.85499954223633 | 2.509999990463257 | 1.0 | |||||
903.0 | 6.079999923706055 | 34.85100173950195 | 3.2100000381469727 | 0.0 | |||||
994.0 | 5.199999809265137 | 34.89899826049805 | 3.2300000190734863 | 0.0 | |||||
1189.0 | 4.480000019073486 | 34.952999114990234 | 4.800000190734863 | 0.0 | |||||
1385.0 | 4.320000171661377 | 34.96200180053711 | 4.460000038146973 | 0.0 | |||||
1582.0 | -99.98999786376953 | 34.965999603271484 | 4.699999809265137 | 0.0 | |||||
1682.0 | 4.260000228881836 | 34.96799850463867 | 4.710000038146973 | 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.