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Dataset Title:	"Deepwater CTD - d93g061.bdo.nc - 28.02N, -90.5W - 1993-11-10"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93g061_bdo)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 12)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

depth	= (ANY) 2.0 8.0 19.0 33.0 53.0 68.0 78.0 90.0 111.0 157.0 206.0 257.0  m	12 options
temperature	= (ANY) 13.671699523925781 14.308799743652344 15.1003999710083 16.702999114990234 19.6156005859375 22.266700744628906 24.282100677490234 25.380800247192383 25.415700912475586 25.41900062561035 25.421899795532227 25.42289924621582  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.76850128173828 35.867401123046875 35.99079895019531 36.198299407958984 36.22010040283203 36.29059982299805 36.29069900512695 36.291099548339844 36.29240036010742 36.29399871826172 36.30289840698242 36.32870101928711  PSU	12 options
oxygen	= (ANY) 2.7899999618530273 2.809999942779541 2.880000114440918 2.9000000953674316 3.390000104904175 4.260000228881836 4.590000152587891 4.670000076293945 4.679999828338623 4.739999771118164 4.760000228881836  milliliters per liter	11 options
nitrite	= (ANY) 0.009999999776482582 0.019999999552965164 0.07000000029802322 0.14000000059604645 0.27000001072883606  micromols	5 options
nitrate	= (ANY) 0.019999999552965164 0.05999999865889549 0.07000000029802322 0.12999999523162842 0.1599999964237213 0.30000001192092896 7.150000095367432 13.699999809265137 16.530000686645508 18.110000610351562 19.3700008392334  micromols	11 options
phosphate	= (ANY) 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.07000000029802322 0.4300000071525574 0.7799999713897705 0.9700000286102295 1.0800000429153442 1.159999966621399  micromols	9 options
silicate	= (ANY) 1.6299999952316284 1.6799999475479126 1.7200000286102295 1.850000023841858 2.1600000858306885 2.549999952316284 5.389999866485596 6.699999809265137 8.149999618530273 9.329999923706055 10.119999885559082  micromols	11 options
salinity2	= (ANY) 35.768001556396484 35.86800003051758 35.99100112915039 36.23500061035156 36.25199890136719 36.292999267578125 36.29399871826172 36.29499816894531 36.297000885009766 36.3129997253418 36.33399963378906  PSU	11 options
qualityFlag	= (ANY) 0.0	1 option: 0.0

View:      Map of All Related Data      Distinct Data Counts     Distinct Data  0 10 100 1000 10000 100000      Related Data Counts     Related Data  0 10 100 1000 10000 100000

 

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Map of All Related Data   (Refine the map and/or download the image)

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.
 

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Distinct Data Counts

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.
 

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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 (potential temperature from ctd)	PSU	milliliters per liter	micromols	micromols	micromols	micromols	PSU
2.0	25.415700912475586	36.29240036010742	4.760000228881836	0.019999999552965164	0.12999999523162842	0.019999999552965164	1.850000023841858	36.292999267578125	0.0
8.0	25.41900062561035	36.291099548339844	4.670000076293945	0.009999999776482582	0.07000000029802322	0.009999999776482582	1.7200000286102295	36.29399871826172	0.0
19.0	25.421899795532227	36.29069900512695	4.679999828338623	0.009999999776482582	0.05999999865889549	0.009999999776482582	1.6299999952316284	36.29499816894531	0.0
33.0	25.42289924621582	36.29059982299805	4.670000076293945	0.009999999776482582	0.05999999865889549	0.009999999776482582	1.6299999952316284	36.29399871826172	0.0
53.0	25.380800247192383	36.29399871826172	4.739999771118164	0.009999999776482582	0.019999999552965164	0.009999999776482582	1.6799999475479126	36.297000885009766	0.0
68.0	24.282100677490234	36.198299407958984	4.590000152587891	0.14000000059604645	0.1599999964237213	0.029999999329447746	2.1600000858306885	36.25199890136719	0.0
78.0	22.266700744628906	36.30289840698242	4.260000228881836	0.27000001072883606	0.30000001192092896	0.07000000029802322	2.549999952316284	36.3129997253418	0.0
90.0	19.6156005859375	36.32870101928711	3.390000104904175	0.07000000029802322	7.150000095367432	0.4300000071525574	5.389999866485596	36.33399963378906	0.0
111.0	16.702999114990234	36.22010040283203	2.9000000953674316	0.019999999552965164	13.699999809265137	0.7799999713897705	6.699999809265137	36.23500061035156	0.0
157.0	15.1003999710083	35.99079895019531	2.880000114440918	0.009999999776482582	16.530000686645508	0.9700000286102295	8.149999618530273	35.99100112915039	0.0
206.0	14.308799743652344	35.867401123046875	2.809999942779541	0.009999999776482582	18.110000610351562	1.0800000429153442	9.329999923706055	35.86800003051758	0.0
257.0	13.671699523925781	35.76850128173828	2.7899999618530273	0.009999999776482582	19.3700008392334	1.159999966621399	10.119999885559082	35.768001556396484	0.0

In total, there are 12 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.
 

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Related Data Counts

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.
 

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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.

 

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