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Dataset Title:	"Deepwater CTD - d93e165.bdo.nc - 27.1N, -96.21W - 1993-05-07"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93e165_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) 0.0 11.0 28.0 38.0 53.0 68.0 83.0 98.0 148.0 198.0 297.0 439.0  m	12 options
temperature	= (ANY) 8.306900024414062 10.474100112915039 12.665599822998047 14.131799697875977 16.52750015258789 17.409400939941406 19.355499267578125 21.401100158691406 22.865699768066406 23.346900939941406 23.893199920654297 23.90730094909668  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 34.12070083618164 34.15850067138672 35.03139877319336 35.29690170288086 35.58290100097656 35.616798400878906 35.84299850463867 36.0010986328125 36.1952018737793 36.22140121459961 36.30329895019531 36.382301330566406  PSU	12 options
oxygen	= (ANY) 2.569999933242798 2.6500000953674316 2.6700000762939453 2.7200000286102295 2.819999933242798 2.869999885559082 3.0299999713897705 3.5999999046325684 4.480000019073486 4.800000190734863 4.889999866485596 4.909999847412109  milliliters per liter	12 options
nitrite	= (ANY) 0.029999999329447746 0.03999999910593033 0.05000000074505806 0.05999999865889549 0.07000000029802322 0.07999999821186066 0.11999999731779099 0.2800000011920929  micromols	8 options
nitrate	= (ANY) 0.07999999821186066 0.14000000059604645 0.17000000178813934 0.5899999737739563 5.519999980926514 10.4399995803833 14.199999809265137 15.670000076293945 19.979999542236328 22.8799991607666 27.399999618530273 30.459999084472656  micromols	12 options
phosphate	= (ANY) 0.029999999329447746 0.05999999865889549 0.27000001072883606 0.5299999713897705 0.7400000095367432 0.8399999737739563 1.159999966621399 1.2599999904632568 1.7100000381469727 2.0399999618530273  micromols	10 options
silicate	= (ANY) 1.840000033378601 2.130000114440918 2.6600000858306885 2.690000057220459 3.430000066757202 4.579999923706055 5.179999828338623 5.920000076293945 8.3100004196167 10.40999984741211 14.539999961853027 19.799999237060547  micromols	12 options
salinity2	= (ANY) 34.12300109863281 34.21900177001953 35.0369987487793 35.29600143432617 35.625 35.6870002746582 35.84600067138672 36.02000045776367 36.191001892089844 36.2869987487793 36.290000915527344 36.38600158691406  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
0.0	23.90730094909668	34.12070083618164	4.909999847412109	0.05000000074505806	0.07999999821186066	0.029999999329447746	2.6600000858306885	34.12300109863281	0.0
11.0	23.893199920654297	34.15850067138672	4.889999866485596	0.029999999329447746	0.14000000059604645	0.029999999329447746	2.690000057220459	34.21900177001953	0.0
28.0	23.346900939941406	35.58290100097656	4.800000190734863	0.07000000029802322	0.17000000178813934	0.029999999329447746	2.130000114440918	35.6870002746582	0.0
38.0	22.865699768066406	36.0010986328125	4.480000019073486	0.2800000011920929	0.5899999737739563	0.05999999865889549	1.840000033378601	36.02000045776367	0.0
53.0	21.401100158691406	36.22140121459961	3.5999999046325684	0.11999999731779099	5.519999980926514	0.27000001072883606	3.430000066757202	36.2869987487793	0.0
68.0	19.355499267578125	36.382301330566406	3.0299999713897705	0.05999999865889549	10.4399995803833	0.5299999713897705	4.579999923706055	36.38600158691406	0.0
83.0	17.409400939941406	36.30329895019531	2.869999885559082	0.05000000074505806	14.199999809265137	0.7400000095367432	5.179999828338623	36.290000915527344	0.0
98.0	16.52750015258789	36.1952018737793	2.819999933242798	0.05000000074505806	15.670000076293945	0.8399999737739563	5.920000076293945	36.191001892089844	0.0
148.0	14.131799697875977	35.84299850463867	2.7200000286102295	0.05000000074505806	19.979999542236328	1.159999966621399	8.3100004196167	35.84600067138672	0.0
198.0	12.665599822998047	35.616798400878906	2.6500000953674316	0.05000000074505806	22.8799991607666	1.2599999904632568	10.40999984741211	35.625	1.0
297.0	10.474100112915039	35.29690170288086	2.569999933242798	0.03999999910593033	27.399999618530273	1.7100000381469727	14.539999961853027	35.29600143432617	1.0
439.0	8.306900024414062	35.03139877319336	2.6700000762939453	0.07999999821186066	30.459999084472656	2.0399999618530273	19.799999237060547	35.0369987487793	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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