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Dataset Title:	"Deepwater CTD - d94h089.bdo.nc - 27.8N, -94.19W - 1994-05-01"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94h089_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 30.0 39.0 49.0 52.0 60.0 75.0 119.0 199.0 252.0 260.0  m	12 options
temperature	= (ANY) 14.028400421142578 14.072799682617188 16.55900001525879 18.532699584960938 18.869600296020508 19.51219940185547 19.767900466918945 19.876300811767578 19.95330047607422 20.4867000579834 23.052900314331055 23.661500930786133  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.827701568603516 35.83359909057617 36.07709884643555 36.12369918823242 36.186500549316406 36.212799072265625 36.22589874267578 36.32339859008789 36.34619903564453 36.36000061035156 36.36140060424805 36.37889862060547  PSU	12 options
oxygen	= (ANY) 2.6700000762939453 2.700000047683716 2.880000114440918 3.359999895095825 3.799999952316284 3.9600000381469727 4.230000019073486 4.449999809265137 4.980000019073486 5.010000228881836 5.260000228881836  milliliters per liter	11 options
nitrite	= (ANY) 0.0 0.029999999329447746 0.03999999910593033 0.05000000074505806 0.07999999821186066 0.09000000357627869 0.1599999964237213 0.17000000178813934  micromols	8 options
nitrate	= (ANY) 0.07000000029802322 0.07999999821186066 0.15000000596046448 0.20999999344348907 2.880000114440918 4.130000114440918 5.710000038146973 7.190000057220459 9.899999618530273 15.130000114440918 20.020000457763672 20.1299991607666  micromols	12 options
phosphate	= (ANY) 0.019999999552965164 0.029999999329447746 0.15000000596046448 0.20999999344348907 0.3100000023841858 0.4000000059604645 0.5400000214576721 0.8399999737739563 1.1799999475479126 1.2200000286102295  micromols	10 options
silicate	= (ANY) 1.3700000047683716 1.399999976158142 1.4600000381469727 1.4700000286102295 2.630000114440918 3.0199999809265137 3.6600000858306885 5.139999866485596 5.630000114440918 7.099999904632568 10.470000267028809 10.539999961853027  micromols	12 options
salinity2	= (ANY) 35.83100128173828 35.83700180053711 36.08100128173828 36.11800003051758 36.189998626708984 36.220001220703125 36.22800064086914 36.32400131225586 36.34700012207031 36.361000061035156 36.36199951171875 36.382999420166016  PSU	12 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	23.661500930786133	36.07709884643555	4.980000019073486	0.0	0.07999999821186066	0.029999999329447746	1.4600000381469727	36.08100128173828	0.0
14.0	23.052900314331055	36.12369918823242	5.010000228881836	0.0	0.07000000029802322	0.019999999552965164	1.399999976158142	36.11800003051758	0.0
30.0	20.4867000579834	36.212799072265625	5.260000228881836	0.029999999329447746	0.15000000596046448	0.019999999552965164	1.3700000047683716	36.220001220703125	0.0
39.0	19.95330047607422	36.22589874267578	5.260000228881836	0.029999999329447746	0.20999999344348907	0.029999999329447746	1.4700000286102295	36.22800064086914	0.0
49.0	19.876300811767578	36.34619903564453	4.449999809265137	0.1599999964237213	2.880000114440918	0.15000000596046448	2.630000114440918	36.34700012207031	0.0
52.0	19.767900466918945	36.36140060424805	4.230000019073486	0.1599999964237213	4.130000114440918	0.20999999344348907	3.0199999809265137	36.36199951171875	0.0
60.0	19.51219940185547	36.37889862060547	3.9600000381469727	0.17000000178813934	5.710000038146973	0.3100000023841858	3.6600000858306885	36.382999420166016	0.0
75.0	18.869600296020508	36.32339859008789	3.799999952316284	0.09000000357627869	7.190000057220459	0.4000000059604645	5.139999866485596	36.32400131225586	0.0
119.0	18.532699584960938	36.36000061035156	3.359999895095825	0.07999999821186066	9.899999618530273	0.5400000214576721	5.630000114440918	36.361000061035156	0.0
199.0	16.55900001525879	36.186500549316406	2.880000114440918	0.05000000074505806	15.130000114440918	0.8399999737739563	7.099999904632568	36.189998626708984	0.0
252.0	14.072799682617188	35.83359909057617	2.700000047683716	0.05000000074505806	20.020000457763672	1.1799999475479126	10.470000267028809	35.83700180053711	0.0
260.0	14.028400421142578	35.827701568603516	2.6700000762939453	0.03999999910593033	20.1299991607666	1.2200000286102295	10.539999961853027	35.83100128173828	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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