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Dataset Title:	"Deepwater CTD - d92c052.bdo.nc - 27.94N, -91.54W - 1992-11-00"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d92c052_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 18.0 28.0 43.0 58.0 68.0 87.0 118.0 147.0 197.0 224.0  m	12 options
temperature	= (ANY) 14.090499877929688 15.6358003616333 17.777700424194336 19.10449981689453 20.59709930419922 23.662900924682617 23.66670036315918 23.679399490356445 23.685400009155273 23.737300872802734 24.530500411987305 24.815799713134766  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.1786994934082 35.1796989440918 35.18119812011719 35.21329879760742 35.687198638916016 35.836299896240234 36.075599670410156 36.11370086669922 36.17509841918945 36.29050064086914 36.34360122680664 36.37329864501953  PSU	12 options
oxygen	= (ANY) 2.9000000953674316 2.990000009536743 3.009999990463257 3.0199999809265137 3.240000009536743 3.9000000953674316 3.9800000190734863 4.300000190734863 4.829999923706055 4.849999904632568 4.860000133514404  milliliters per liter	11 options
nitrite	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.05000000074505806 0.05999999865889549 0.09000000357627869  micromols	7 options
nitrate	= (ANY) 0.019999999552965164 0.05999999865889549 0.09000000357627869 0.9900000095367432 2.430000066757202 2.4600000381469727 6.639999866485596 10.1899995803833 12.680000305175781 16.420000076293945 19.280000686645508  micromols	11 options
phosphate	= (ANY) 0.029999999329447746 0.03999999910593033 0.10999999940395355 0.20000000298023224 0.46000000834465027 0.6000000238418579 0.7099999785423279 0.9700000286102295 1.1799999475479126  micromols	9 options
silicate	= (ANY) 1.7599999904632568 1.8200000524520874 1.8899999856948853 2.0899999141693115 2.950000047683716 4.179999828338623 4.289999961853027 5.840000152587891 6.079999923706055 6.650000095367432 7.400000095367432 9.100000381469727  micromols	12 options
salinity2	= (ANY) 35.18899917602539 35.189998626708984 35.21200180053711 35.23400115966797 35.75199890136719 35.84400177001953 36.077999114990234 36.13800048828125 36.2140007019043 36.30099868774414 36.358001708984375 36.382999420166016  PSU	12 options
qualityFlag	= (ANY) 0.0 1.0	2 options

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	23.662900924682617	35.1786994934082	4.860000133514404	0.0	0.019999999552965164	0.03999999910593033	2.0899999141693115	35.18899917602539	0.0
8.0	23.66670036315918	35.1796989440918	4.829999923706055	0.0	0.019999999552965164	0.029999999329447746	1.8899999856948853	35.189998626708984	0.0
18.0	23.679399490356445	35.18119812011719	4.849999904632568	0.0	0.05999999865889549	0.029999999329447746	1.8200000524520874	35.21200180053711	0.0
28.0	23.737300872802734	35.21329879760742	4.849999904632568	0.0	0.09000000357627869	0.03999999910593033	1.7599999904632568	35.23400115966797	0.0
43.0	24.530500411987305	35.687198638916016	4.300000190734863	0.05999999865889549	0.9900000095367432	0.10999999940395355	2.950000047683716	35.75199890136719	0.0
58.0	24.815799713134766	36.11370086669922	3.9000000953674316	0.05000000074505806	2.430000066757202	0.20000000298023224	4.289999961853027	36.13800048828125	0.0
68.0	23.685400009155273	36.17509841918945	3.9800000190734863	0.09000000357627869	2.4600000381469727	0.20000000298023224	4.179999828338623	36.2140007019043	0.0
87.0	20.59709930419922	36.29050064086914	3.240000009536743	0.029999999329447746	6.639999866485596	0.46000000834465027	6.650000095367432	36.30099868774414	0.0
118.0	19.10449981689453	36.37329864501953	3.009999990463257	0.019999999552965164	10.1899995803833	0.6000000238418579	6.079999923706055	36.382999420166016	0.0
147.0	17.777700424194336	36.34360122680664	2.990000009536743	0.009999999776482582	12.680000305175781	0.7099999785423279	5.840000152587891	36.358001708984375	0.0
197.0	15.6358003616333	36.075599670410156	3.0199999809265137	0.009999999776482582	16.420000076293945	0.9700000286102295	7.400000095367432	36.077999114990234	0.0
224.0	14.090499877929688	35.836299896240234	2.9000000953674316	0.019999999552965164	19.280000686645508	1.1799999475479126	9.100000381469727	35.84400177001953	1.0

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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