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Dataset Title:	"Deepwater CTD - d93g070.bdo.nc - 27.75N, -92.0W - 1993-11-11"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93g070_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 14.0 28.0 43.0 54.0 63.0 79.0 97.0 126.0 196.0 296.0 487.0  m	12 options
temperature	= (ANY) 8.597800254821777 12.273599624633789 15.128000259399414 17.643600463867188 19.15760040283203 20.530899047851562 21.97439956665039 23.300199508666992 24.954500198364258 24.9601993560791 24.961200714111328 24.96780014038086  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.0536003112793 35.55149841308594 35.99509811401367 36.30860137939453 36.308998107910156 36.30979919433594 36.31169891357422 36.359901428222656 36.48640060424805 36.56169891357422 36.58100128173828 36.632999420166016  PSU	12 options
oxygen	= (ANY) 2.609999895095825 2.6500000953674316 2.8499999046325684 2.9600000381469727 3.049999952316284 3.4800000190734863 3.9800000190734863 4.320000171661377 4.570000171661377 4.590000152587891 4.670000076293945 4.679999828338623  milliliters per liter	12 options
nitrite	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.05999999865889549 0.12999999523162842 0.30000001192092896  micromols	6 options
nitrate	= (ANY) 0.029999999329447746 0.03999999910593033 0.2800000011920929 0.41999998688697815 6.079999923706055 10.850000381469727 12.210000038146973 16.520000457763672 22.860000610351562 29.729999542236328  micromols	10 options
phosphate	= (ANY) 0.03999999910593033 0.05000000074505806 0.05999999865889549 0.3100000023841858 0.5699999928474426 0.6700000166893005 0.9599999785423279 1.3600000143051147 1.850000023841858  micromols	9 options
silicate	= (ANY) 1.6399999856948853 1.7300000190734863 1.7899999618530273 1.8700000047683716 2.009999990463257 2.0999999046325684 2.450000047683716 4.039999961853027 4.510000228881836 6.690000057220459 10.880000114440918 18.229999542236328  micromols	12 options
salinity2	= (ANY) 35.05500030517578 35.55400085449219 36.000999450683594 36.31399917602539 36.319000244140625 36.31999969482422 36.362998962402344 36.49100112915039 36.492000579833984 36.56100082397461 36.625999450683594  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	24.954500198364258	36.31169891357422	4.679999828338623	0.019999999552965164	0.029999999329447746	0.03999999910593033	2.009999990463257	36.31999969482422	0.0
14.0	24.9601993560791	36.30979919433594	4.670000076293945	0.009999999776482582	0.03999999910593033	0.03999999910593033	1.8700000047683716	36.31399917602539	0.0
28.0	24.961200714111328	36.308998107910156	4.590000152587891	0.009999999776482582	0.03999999910593033	0.03999999910593033	1.7300000190734863	36.31399917602539	0.0
43.0	24.96780014038086	36.30860137939453	4.570000171661377	0.009999999776482582	0.03999999910593033	0.03999999910593033	1.6399999856948853	36.319000244140625	0.0
54.0	23.300199508666992	36.58100128173828	4.320000171661377	0.12999999523162842	0.2800000011920929	0.05000000074505806	1.7899999618530273	36.49100112915039	0.0
63.0	21.97439956665039	36.56169891357422	3.9800000190734863	0.30000001192092896	0.41999998688697815	0.05999999865889549	2.0999999046325684	36.56100082397461	0.0
79.0	20.530899047851562	36.632999420166016	3.4800000190734863	0.05999999865889549	6.079999923706055	0.3100000023841858	2.450000047683716	36.625999450683594	0.0
97.0	19.15760040283203	36.48640060424805	2.8499999046325684	0.019999999552965164	10.850000381469727	0.5699999928474426	4.039999961853027	36.492000579833984	0.0
126.0	17.643600463867188	36.359901428222656	3.049999952316284	0.009999999776482582	12.210000038146973	0.6700000166893005	4.510000228881836	36.362998962402344	0.0
196.0	15.128000259399414	35.99509811401367	2.9600000381469727	0.0	16.520000457763672	0.9599999785423279	6.690000057220459	36.000999450683594	0.0
296.0	12.273599624633789	35.55149841308594	2.6500000953674316	0.0	22.860000610351562	1.3600000143051147	10.880000114440918	35.55400085449219	0.0
487.0	8.597800254821777	35.0536003112793	2.609999895095825	0.0	29.729999542236328	1.850000023841858	18.229999542236328	35.05500030517578	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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