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Dataset Title:	"Deepwater CTD - d94j120.bdo.nc - 27.46N, -95.7W - 1994-11-10"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94j120_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 24.0 59.0 78.0 84.0 92.0 111.0 140.0 229.0 326.0 401.0 710.0  m	12 options
temperature	= (ANY) 6.192200183868408 10.53279972076416 12.008500099182129 14.243800163269043 17.016399383544922 18.795700073242188 19.958900451660156 20.98259925842285 22.129100799560547 24.52519989013672 26.158100128173828 26.36989974975586  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 34.5078010559082 34.90589904785156 35.304901123046875 35.3739013671875 35.520301818847656 35.86159896850586 36.258399963378906 36.34709930419922 36.368099212646484 36.3745002746582 36.390201568603516 36.414798736572266  PSU	12 options
oxygen	= (ANY) 2.630000114440918 2.7100000381469727 2.75 2.7699999809265137 3.1700000762939453 3.309999942779541 3.440000057220459 4.380000114440918 4.650000095367432 4.699999809265137 5.349999904632568  milliliters per liter	11 options
nitrite	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.03999999910593033 0.05000000074505806 0.05999999865889549 0.20999999344348907  micromols	7 options
nitrate	= (ANY) 0.05000000074505806 0.07000000029802322 0.20000000298023224 0.46000000834465027 5.079999923706055 7.150000095367432 12.3100004196167 15.460000038146973 19.729999542236328 23.43000030517578 25.850000381469727 28.950000762939453  micromols	12 options
phosphate	= (ANY) 0.029999999329447746 0.05999999865889549 0.07000000029802322 0.07999999821186066 0.2800000011920929 0.3499999940395355 0.6100000143051147 0.8100000023841858 1.100000023841858 1.3799999952316284 1.5800000429153442 1.899999976158142  micromols	12 options
silicate	= (ANY) 0.800000011920929 1.0199999809265137 2.430000066757202 2.609999895095825 2.890000104904175 3.069999933242798 3.75 4.849999904632568 7.659999847412109 10.550000190734863 13.130000114440918 23.280000686645508  micromols	12 options
salinity2	= (ANY) 34.50199890136719 34.902000427246094 35.301998138427734 35.38199996948242 35.52000045776367 35.85499954223633 36.249000549316406 36.34199905395508 36.37300109863281 36.3849983215332 36.38600158691406 36.40700149536133  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	26.158100128173828	34.5078010559082	4.699999809265137	0.0	0.20000000298023224	0.07999999821186066	2.609999895095825	34.50199890136719	0.0
24.0	26.36989974975586	35.3739013671875	4.650000095367432	0.0	0.07000000029802322	0.05999999865889549	2.430000066757202	35.38199996948242	0.0
59.0	24.52519989013672	36.34709930419922	5.349999904632568	0.019999999552965164	0.05000000074505806	0.029999999329447746	0.800000011920929	36.34199905395508	0.0
78.0	22.129100799560547	36.3745002746582	4.380000114440918	0.20999999344348907	0.46000000834465027	0.07000000029802322	1.0199999809265137	36.3849983215332	0.0
84.0	20.98259925842285	36.368099212646484	3.440000057220459	0.05999999865889549	5.079999923706055	0.2800000011920929	3.069999933242798	36.37300109863281	0.0
92.0	19.958900451660156	36.390201568603516	3.1700000762939453	0.05000000074505806	7.150000095367432	0.3499999940395355	2.890000104904175	36.38600158691406	0.0
111.0	18.795700073242188	36.414798736572266	2.75	0.03999999910593033	12.3100004196167	0.6100000143051147	3.75	36.40700149536133	0.0
140.0	17.016399383544922	36.258399963378906	2.7699999809265137	0.019999999552965164	15.460000038146973	0.8100000023841858	4.849999904632568	36.249000549316406	0.0
229.0	14.243800163269043	35.86159896850586	2.7100000381469727	0.019999999552965164	19.729999542236328	1.100000023841858	7.659999847412109	35.85499954223633	0.0
326.0	12.008500099182129	35.520301818847656	2.630000114440918	0.009999999776482582	23.43000030517578	1.3799999952316284	10.550000190734863	35.52000045776367	1.0
401.0	10.53279972076416	35.304901123046875	2.630000114440918	0.009999999776482582	25.850000381469727	1.5800000429153442	13.130000114440918	35.301998138427734	0.0
710.0	6.192200183868408	34.90589904785156	3.309999942779541	0.009999999776482582	28.950000762939453	1.899999976158142	23.280000686645508	34.902000427246094	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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