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Dataset Title:	"Deepwater CTD - 89g1512.bdo.nc - 27.18N, -94.0W - 1989-11-13"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_89g1512_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: 16)
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 24.0 49.0 69.0 88.0 108.0 123.0 150.0 200.0 300.0 398.0 498.0 598.0 673.0 798.0 1000.0  m	16 options
temperature	= (ANY) 4.760000228881836 5.519999980926514 6.130000114440918 6.650000095367432 7.78000020980835 9.300000190734863 11.390000343322754 14.670000076293945 16.5 17.8799991607666 18.770000457763672 20.59000015258789 22.700000762939453 25.860000610351562 26.059999465942383 26.209999084472656  degree_C	16 options
salinity	= (ANY) 34.88999938964844 34.89799880981445 34.89899826049805 34.92900085449219 34.95899963378906 35.111000061035156 35.42900085449219 35.94300079345703 36.22100067138672 36.37300109863281 36.38100051879883 36.391998291015625 36.433998107910156 36.47200012207031 36.518001556396484 36.56100082397461  PSU	16 options
oxygen	= (ANY) 2.690999984741211 2.7330000400543213 2.7809998989105225 3.0350000858306885 3.0360000133514404 3.1649999618530273 3.191999912261963 3.194000005722046 3.2939999103546143 3.436000108718872 3.683000087738037 4.2820000648498535 4.294000148773193 4.748000144958496 4.749000072479248 4.7729997634887695  milliliters per liter	16 options
nitrite	= (ANY)  micromols per liter	1 option:
nitrate	= (ANY) 0.10000000149011612 0.20000000298023224 0.5 6.800000190734863 10.100000381469727 11.5 13.899999618530273 17.5 25.100000381469727 27.0 29.600000381469727 29.700000762939453 31.200000762939453 31.899999618530273 32.0  micromols	15 options
phosphate	= (ANY) 0.009999999776482582 0.07000000029802322 0.10000000149011612 0.15000000596046448 0.4099999964237213 0.5899999737739563 0.7400000095367432 0.8700000047683716 1.1200000047683716 1.690000057220459 1.8799999952316284 1.9900000095367432 2.0 2.0399999618530273 2.0799999237060547  micromols per liter	15 options
silicate	= (ANY) 1.2000000476837158 1.399999976158142 1.600000023841858 2.200000047683716 3.0 3.4000000953674316 4.400000095367432 5.699999809265137 10.300000190734863 14.0 17.200000762939453 19.5 21.299999237060547 22.700000762939453 23.0  micromols per liter	15 options
salinity2	= (ANY)  PSU	1 option:
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	PSU	milliliters per liter	micromols per liter	micromols	micromols per liter	micromols per liter	PSU
2.0	26.209999084472656	36.37300109863281	4.749000072479248		0.10000000149011612	0.009999999776482582	1.399999976158142		0.0
24.0	26.059999465942383	36.38100051879883	4.748000144958496		0.20000000298023224	0.10000000149011612	1.2000000476837158		0.0
49.0	25.860000610351562	36.433998107910156	4.7729997634887695		0.20000000298023224	0.07000000029802322	1.2000000476837158		0.0
69.0	22.700000762939453	36.518001556396484	4.294000148773193		0.5	0.15000000596046448	1.600000023841858		0.0
88.0	20.59000015258789	36.56100082397461	3.436000108718872		6.800000190734863	0.4099999964237213	2.200000047683716		0.0
108.0	18.770000457763672	36.47200012207031	3.191999912261963		10.100000381469727	0.5899999737739563	3.0		0.0
123.0	17.8799991607666	36.391998291015625	3.194000005722046		11.5	0.7400000095367432	3.4000000953674316		0.0
150.0	16.5	36.22100067138672	3.1649999618530273		13.899999618530273	0.8700000047683716	4.400000095367432		0.0
200.0	14.670000076293945	35.94300079345703	3.0350000858306885		17.5	1.1200000047683716	5.699999809265137		1.0
300.0	11.390000343322754	35.42900085449219	2.7330000400543213		25.100000381469727	1.690000057220459	10.300000190734863		1.0
398.0	9.300000190734863	35.111000061035156	2.690999984741211		29.700000762939453	1.8799999952316284	14.0		0.0
498.0	7.78000020980835	34.95899963378906	2.7809998989105225		31.899999618530273	2.0399999618530273	17.200000762939453		0.0
598.0	6.650000095367432	34.89799880981445	3.0360000133514404		32.0	2.0799999237060547	19.5		0.0
673.0	6.130000114440918	34.88999938964844	3.2939999103546143		31.200000762939453	2.0	21.299999237060547		0.0
798.0	5.519999980926514	34.89899826049805	3.683000087738037		29.600000381469727	1.9900000095367432	22.700000762939453		0.0
1000.0	4.760000228881836	34.92900085449219	4.2820000648498535		27.0	1.8799999952316284	23.0		0.0

In total, there are 16 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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