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Dataset Title:	"Deepwater CTD - d93f203.bdo.nc - 26.93N, -96.44W - 1993-00-06"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93f203_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) 1.0 7.0 14.0 24.0 38.0 58.0 82.0 93.0 118.0 148.0 178.0 207.0  m	12 options
temperature	= (ANY) 13.739899635314941 15.69629955291748 16.906400680541992 17.438600540161133 18.48080062866211 20.469999313354492 22.566099166870117 24.02989959716797 26.010299682617188 28.452299118041992 28.656700134277344 28.660400390625  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.79399871826172 35.84960174560547 35.850101470947266 35.86140060424805 36.08760070800781 36.13650131225586 36.253501892089844 36.25579833984375 36.306800842285156 36.327301025390625 36.35940170288086 36.36859893798828  PSU	12 options
oxygen	= (ANY) 2.6700000762939453 2.75 2.799999952316284 2.9000000953674316 3.0399999618530273 3.3499999046325684 4.510000228881836 4.599999904632568 4.610000133514404 4.71999979019165 4.989999771118164 5.179999828338623  milliliters per liter	12 options
nitrite	= (ANY) 0.019999999552965164 0.03999999910593033 0.05000000074505806 0.05999999865889549 0.07000000029802322 0.1899999976158142 1.2699999809265137  micromols	7 options
nitrate	= (ANY) 0.03999999910593033 0.07000000029802322 3.680000066757202 10.880000114440918 13.229999542236328 14.539999961853027 16.760000228881836 19.84000015258789  micromols	8 options
phosphate	= (ANY) 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.28999999165534973 0.550000011920929 0.6700000166893005 0.7599999904632568 0.8899999856948853 1.090000033378601  micromols	9 options
silicate	= (ANY) 2.1500000953674316 2.319999933242798 2.890000104904175 2.9800000190734863 3.140000104904175 3.2300000190734863 3.3499999046325684 5.0 5.440000057220459 6.380000114440918 7.78000020980835 9.319999694824219  micromols	12 options
salinity2	= (ANY) 35.83000183105469 35.85100173950195 35.85200119018555 35.893001556396484 36.077999114990234 36.15399932861328 36.24800109863281 36.27199935913086 36.310001373291016 36.32400131225586 36.35300064086914 36.36199951171875  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
1.0	28.656700134277344	35.850101470947266	4.599999904632568	0.019999999552965164	0.03999999910593033	0.019999999552965164	3.2300000190734863	35.85200119018555	0.0
7.0	28.660400390625	35.84960174560547	4.610000133514404	0.019999999552965164	0.03999999910593033	0.029999999329447746	2.9800000190734863	35.85100173950195	0.0
14.0	28.452299118041992	35.86140060424805	4.71999979019165	0.019999999552965164	0.03999999910593033	0.019999999552965164	2.890000104904175	35.893001556396484	0.0
24.0	26.010299682617188	36.13650131225586	5.179999828338623	0.019999999552965164	0.03999999910593033	0.019999999552965164	2.319999933242798	36.15399932861328	0.0
38.0	24.02989959716797	36.253501892089844	4.989999771118164	0.019999999552965164	0.03999999910593033	0.019999999552965164	2.1500000953674316	36.27199935913086	0.0
58.0	22.566099166870117	36.306800842285156	4.510000228881836	0.05000000074505806	0.07000000029802322	0.03999999910593033	3.3499999046325684	36.310001373291016	0.0
82.0	20.469999313354492	36.36859893798828	3.3499999046325684	1.2699999809265137	3.680000066757202	0.28999999165534973	3.140000104904175	36.36199951171875	0.0
93.0	18.48080062866211	36.35940170288086	3.0399999618530273	0.1899999976158142	10.880000114440918	0.550000011920929	5.0	36.35300064086914	0.0
118.0	17.438600540161133	36.327301025390625	2.9000000953674316	0.05999999865889549	13.229999542236328	0.6700000166893005	5.440000057220459	36.32400131225586	0.0
148.0	16.906400680541992	36.25579833984375	2.799999952316284	0.05999999865889549	14.539999961853027	0.7599999904632568	6.380000114440918	36.24800109863281	0.0
178.0	15.69629955291748	36.08760070800781	2.75	0.07000000029802322	16.760000228881836	0.8899999856948853	7.78000020980835	36.077999114990234	0.0
207.0	13.739899635314941	35.79399871826172	2.6700000762939453	0.03999999910593033	19.84000015258789	1.090000033378601	9.319999694824219	35.83000183105469	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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