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Dataset Title:	"Deepwater CTD - d94h143.bdo.nc - 27.07N, -95.98W - 1994-05-05"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94h143_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 19.0 31.0 52.0 65.0 82.0 97.0 129.0 191.0 278.0 383.0 714.0  m	12 options
temperature	= (ANY) 6.057700157165527 10.00409984588623 12.05679988861084 14.348999977111816 16.930099487304688 18.360300064086914 18.98189926147461 19.131000518798828 20.039499282836914 21.300399780273438 22.31089973449707 24.959199905395508  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 31.542499542236328 34.89929962158203 35.23109817504883 35.47019958496094 35.52040100097656 35.87049865722656 35.907901763916016 36.14569854736328 36.1963005065918 36.244598388671875 36.358699798583984 36.40769958496094  PSU	12 options
oxygen	= (ANY) 2.5 2.5999999046325684 2.7100000381469727 2.8499999046325684 2.9700000286102295 3.319999933242798 3.490000009536743 3.9600000381469727 4.349999904632568 5.0 5.139999866485596 5.159999847412109  milliliters per liter	12 options
nitrite	= (ANY) 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.05999999865889549  micromols	5 options
nitrate	= (ANY) 0.09000000357627869 0.10000000149011612 0.23999999463558197 3.9200000762939453 4.78000020980835 8.819999694824219 12.229999542236328 14.819999694824219 19.6299991607666 23.920000076293945 28.209999084472656 30.010000228881836  micromols	12 options
phosphate	= (ANY) 0.009999999776482582 0.019999999552965164 0.2199999988079071 0.25 0.46000000834465027 0.6600000262260437 0.8299999833106995 1.1799999475479126 1.5 1.7899999618530273 2.0399999618530273  micromols	11 options
silicate	= (ANY) 1.8600000143051147 2.799999952316284 2.9600000381469727 4.760000228881836 5.230000019073486 5.71999979019165 6.5 7.659999847412109 10.520000457763672 14.180000305175781 18.479999542236328 28.790000915527344  micromols	12 options
salinity2	= (ANY) 31.70800018310547 34.90299987792969 35.237998962402344 35.47700119018555 35.529998779296875 35.874000549316406 35.96500015258789 36.167999267578125 36.20899963378906 36.263999938964844 36.37200164794922 36.40599822998047  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	24.959199905395508	31.542499542236328	5.0	0.009999999776482582	0.23999999463558197	0.019999999552965164	1.8600000143051147	31.70800018310547	0.0
19.0	22.31089973449707	35.47019958496094	5.159999847412109	0.019999999552965164	0.10000000149011612	0.019999999552965164	2.799999952316284	35.47700119018555	0.0
31.0	21.300399780273438	35.907901763916016	5.139999866485596	0.019999999552965164	0.09000000357627869	0.009999999776482582	2.9600000381469727	35.96500015258789	0.0
52.0	20.039499282836914	36.1963005065918	3.9600000381469727	0.05999999865889549	4.78000020980835	0.25	5.230000019073486	36.20899963378906	0.0
65.0	19.131000518798828	36.14569854736328	4.349999904632568	0.03999999910593033	3.9200000762939453	0.2199999988079071	4.760000228881836	36.167999267578125	0.0
82.0	18.98189926147461	36.358699798583984	3.490000009536743	0.03999999910593033	8.819999694824219	0.46000000834465027	5.71999979019165	36.37200164794922	0.0
97.0	18.360300064086914	36.40769958496094	2.9700000286102295	0.05999999865889549	12.229999542236328	0.6600000262260437	6.5	36.40599822998047	0.0
129.0	16.930099487304688	36.244598388671875	2.8499999046325684	0.029999999329447746	14.819999694824219	0.8299999833106995	7.659999847412109	36.263999938964844	0.0
191.0	14.348999977111816	35.87049865722656	2.7100000381469727	0.019999999552965164	19.6299991607666	1.1799999475479126	10.520000457763672	35.874000549316406	0.0
278.0	12.05679988861084	35.52040100097656	2.5999999046325684	0.019999999552965164	23.920000076293945	1.5	14.180000305175781	35.529998779296875	1.0
383.0	10.00409984588623	35.23109817504883	2.5	0.019999999552965164	28.209999084472656	1.7899999618530273	18.479999542236328	35.237998962402344	1.0
714.0	6.057700157165527	34.89929962158203	3.319999933242798	0.009999999776482582	30.010000228881836	2.0399999618530273	28.790000915527344	34.90299987792969	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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