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Dataset Title:	"Deepwater CTD - d92b059.bdo.nc - 28.02N, -90.5W - 1992-00-04"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d92b059_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 9.0 23.0 34.0 43.0 58.0 73.0 88.0 108.0 138.0 198.0 253.0  m	12 options
temperature	= (ANY) 13.071000099182129 14.73960018157959 16.761999130249023 17.86639976501465 19.33449935913086 20.50349998474121 20.911100387573242 22.368200302124023 24.60569953918457 28.289600372314453 30.20009994506836 30.390600204467773  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 32.31060028076172 33.411800384521484 35.678001403808594 35.900299072265625 35.94089889526367 35.95330047607422 35.99089813232422 36.19860076904297 36.266700744628906 36.3577995300293 36.360801696777344 36.413700103759766  PSU	12 options
oxygen	= (ANY) 2.8399999141693115 2.890000104904175 3.299999952316284 3.319999933242798 3.430000066757202 4.079999923706055 4.590000152587891 4.599999904632568 4.889999866485596 4.96999979019165 4.980000019073486 5.099999904632568  milliliters per liter	12 options
nitrite	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.10999999940395355  micromols	5 options
nitrate	= (ANY) 0.25999999046325684 0.27000001072883606 0.30000001192092896 0.5699999928474426 3.440000057220459 8.020000457763672 8.029999732971191 11.119999885559082 17.56999969482422 20.209999084472656  micromols	10 options
phosphate	= (ANY) 0.029999999329447746 0.03999999910593033 0.1599999964237213 0.41999998688697815 0.6100000143051147 0.7099999785423279 1.0499999523162842 1.2400000095367432  micromols	8 options
silicate	= (ANY) 0.38999998569488525 0.4699999988079071 0.49000000953674316 0.5899999737739563 0.6499999761581421 0.7900000214576721 0.9700000286102295 2.569999933242798 2.880000114440918 4.289999961853027 6.349999904632568 8.380000114440918  micromols	12 options
salinity2	= (ANY) 32.608001708984375 33.70500183105469 35.67900085449219 35.91999816894531 35.935001373291016 35.96099853515625 36.03099822998047 36.18199920654297 36.23699951171875 36.3390007019043 36.3489990234375 36.38800048828125  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	30.390600204467773	32.31060028076172	4.590000152587891	0.0	0.27000001072883606	0.029999999329447746	0.4699999988079071	32.608001708984375	0.0
9.0	30.20009994506836	33.411800384521484	4.599999904632568	0.0	0.30000001192092896	0.029999999329447746	0.49000000953674316	33.70500183105469	0.0
23.0	28.289600372314453	35.900299072265625	4.980000019073486	0.0	0.27000001072883606	0.029999999329447746	0.38999998569488525	35.96099853515625	0.0
34.0	24.60569953918457	35.95330047607422	5.099999904632568	0.0	0.25999999046325684	0.029999999329447746	0.5899999737739563	35.935001373291016	0.0
43.0	22.368200302124023	35.99089813232422	4.96999979019165	0.0	0.25999999046325684	0.03999999910593033	0.7900000214576721	36.03099822998047	0.0
58.0	20.911100387573242	36.19860076904297	4.889999866485596	0.029999999329447746	0.5699999928474426	0.03999999910593033	0.6499999761581421	36.18199920654297	0.0
73.0	20.50349998474121	36.360801696777344	4.079999923706055	0.10999999940395355	3.440000057220459	0.1599999964237213	0.9700000286102295	36.3489990234375	0.0
88.0	19.33449935913086	36.3577995300293	3.430000066757202	0.029999999329447746	8.029999732971191	0.41999998688697815	2.569999933242798	36.3390007019043	0.0
108.0	17.86639976501465	36.413700103759766	3.299999952316284	0.019999999552965164	11.119999885559082	0.6100000143051147	2.880000114440918	36.38800048828125	0.0
138.0	16.761999130249023	36.266700744628906	3.319999933242798	0.009999999776482582	8.020000457763672	0.7099999785423279	4.289999961853027	36.23699951171875	0.0
198.0	14.73960018157959	35.94089889526367	2.890000104904175	0.009999999776482582	17.56999969482422	1.0499999523162842	6.349999904632568	35.91999816894531	0.0
253.0	13.071000099182129	35.678001403808594	2.8399999141693115	0.019999999552965164	20.209999084472656	1.2400000095367432	8.380000114440918	35.67900085449219	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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