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Dataset Title:	"Deepwater CTD - d93f151.bdo.nc - 27.52N, -95.78W - 1993-00-03"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93f151_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) 0.0 14.0 29.0 53.0 73.0 83.0 98.0 118.0 143.0 247.0 346.0 514.0  m	12 options
temperature	= (ANY) 8.071499824523926 10.538999557495117 12.32450008392334 15.625200271606445 17.347900390625 19.67300033569336 22.162900924682617 22.690000534057617 23.98040008544922 26.924299240112305 28.963499069213867 28.965900421142578  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.012901306152344 35.31269836425781 35.572898864746094 35.60770034790039 35.61579895019531 36.04460144042969 36.075599670410156 36.250701904296875 36.304901123046875 36.307098388671875 36.31290054321289 36.3135986328125  PSU	12 options
oxygen	= (ANY) 2.549999952316284 2.5999999046325684 2.7100000381469727 2.819999933242798 2.869999885559082 3.3399999141693115 4.460000038146973 4.559999942779541 4.659999847412109 4.800000190734863 4.989999771118164 5.039999961853027  milliliters per liter	12 options
nitrite	= (ANY) 0.009999999776482582 0.019999999552965164 0.05000000074505806 0.10000000149011612 0.3199999928474426  micromols	5 options
nitrate	= (ANY) 0.10999999940395355 0.11999999731779099 0.12999999523162842 0.14000000059604645 0.4399999976158142 8.0 13.819999694824219 16.81999969482422 23.280000686645508 26.729999542236328 30.190000534057617  micromols	11 options
phosphate	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.44999998807907104 0.7400000095367432 0.949999988079071 1.3799999952316284 1.6399999856948853 1.9199999570846558  micromols	11 options
silicate	= (ANY) 2.809999942779541 2.869999885559082 3.009999990463257 3.490000009536743 4.420000076293945 4.679999828338623 5.110000133514404 6.010000228881836 7.409999847412109 11.720000267028809 14.899999618530273 21.200000762939453  micromols	12 options
salinity2	= (ANY) 35.013999938964844 35.30799865722656 35.569000244140625 35.608001708984375 35.68600082397461 36.07099914550781 36.183998107910156 36.25299835205078 36.29800033569336 36.30799865722656 36.310001373291016 36.321998596191406  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
0.0	28.963499069213867	35.60770034790039	4.559999942779541	0.019999999552965164	0.14000000059604645	0.029999999329447746	5.110000133514404	35.608001708984375	0.0
14.0	28.965900421142578	35.61579895019531	4.659999847412109	0.019999999552965164	0.12999999523162842	0.019999999552965164	4.420000076293945	35.68600082397461	0.0
29.0	26.924299240112305	36.04460144042969	4.989999771118164	0.009999999776482582	0.12999999523162842	0.009999999776482582	3.009999990463257	36.183998107910156	0.0
53.0	23.98040008544922	36.304901123046875	5.039999961853027	0.019999999552965164	0.11999999731779099	0.0	2.809999942779541	36.30799865722656	0.0
73.0	22.690000534057617	36.250701904296875	4.800000190734863	0.019999999552965164	0.10999999940395355	0.0	2.869999885559082	36.25299835205078	0.0
83.0	22.162900924682617	36.31290054321289	4.460000038146973	0.10000000149011612	0.4399999976158142	0.03999999910593033	3.490000009536743	36.310001373291016	0.0
98.0	19.67300033569336	36.3135986328125	3.3399999141693115	0.3199999928474426	8.0	0.44999998807907104	4.679999828338623	36.321998596191406	0.0
118.0	17.347900390625	36.307098388671875	2.869999885559082	0.05000000074505806	13.819999694824219	0.7400000095367432	6.010000228881836	36.29800033569336	0.0
143.0	15.625200271606445	36.075599670410156	2.819999933242798	0.019999999552965164	16.81999969482422	0.949999988079071	7.409999847412109	36.07099914550781	0.0
247.0	12.32450008392334	35.572898864746094	2.5999999046325684	0.019999999552965164	23.280000686645508	1.3799999952316284	11.720000267028809	35.569000244140625	1.0
346.0	10.538999557495117	35.31269836425781	2.549999952316284	0.019999999552965164	26.729999542236328	1.6399999856948853	14.899999618530273	35.30799865722656	0.0
514.0	8.071499824523926	35.012901306152344	2.7100000381469727	0.019999999552965164	30.190000534057617	1.9199999570846558	21.200000762939453	35.013999938964844	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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