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Dataset Title:	"Deepwater CTD - 87g1002.bdo.nc - 27.0N, -94.47W - 1987-10-27"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_87g1002_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: 24)
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) 6.0 11.0 21.0 31.0 40.0 50.0 60.0 70.0 80.0 90.0 100.0 110.0 120.0 138.0 158.0 179.0 198.0 249.0 298.0 397.0 497.0 598.0 686.0  m	23 options
temperature	= (ANY) 6.429999828338623 7.0 7.920000076293945 9.300000190734863 11.0 12.109999656677246 13.649999618530273 14.260000228881836 15.369999885559082 16.899999618530273 18.670000076293945 19.6299991607666 20.829999923706055 21.600000381469727 22.200000762939453 23.780000686645508 25.979999542236328 25.989999771118164 26.0 26.010000228881836 26.030000686645508  degree_C	22 options
salinity	= (ANY) 34.90299987792969 34.90399932861328 34.91999816894531 34.9900016784668 35.13999938964844 35.36000061035156 35.529998779296875 35.77000045776367 35.84000015258789 36.02000045776367 36.209999084472656 36.29199981689453 36.29399871826172 36.29999923706055 36.38999938964844  PSU	16 options
oxygen	= (ANY) 3.0959999561309814 4.098999977111816 4.738999843597412 4.784999847412109 4.839000225067139 4.859000205993652  milliliters per liter	7 options
nitrite	= (ANY)  micromols per liter	1 option:
nitrate	= (ANY) 0.009999999776482582 0.029999999329447746 0.05999999865889549 0.07999999821186066 0.09000000357627869 0.14000000059604645 0.15000000596046448 0.17000000178813934 0.30000001192092896 0.7900000214576721 1.559999942779541 2.0399999618530273 7.21999979019165 9.930000305175781 13.100000381469727 15.399999618530273 16.899999618530273 21.899999618530273 23.5 26.600000381469727 28.100000381469727 28.299999237060547 28.5  micromols	23 options
phosphate	= (ANY)  micromols per liter	1 option:
silicate	= (ANY) 4.0 4.400000095367432 4.599999904632568 4.800000190734863 5.099999904632568 5.400000095367432 5.699999809265137 5.900000095367432 6.0 6.199999809265137 6.400000095367432 6.699999809265137 7.800000190734863 8.699999809265137 8.800000190734863 11.899999618530273 13.399999618530273 17.200000762939453 20.799999237060547 23.399999618530273 24.899999618530273 25.100000381469727  micromols per liter	22 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
6.0	25.979999542236328	36.29999923706055			0.009999999776482582		4.0		0.0
11.0	25.989999771118164	36.29199981689453			0.029999999329447746		4.400000095367432		0.0
21.0	25.989999771118164	36.29399871826172	4.839000225067139		0.05999999865889549		5.400000095367432		0.0
31.0	26.010000228881836	36.29999923706055			0.17000000178813934		6.0		0.0
40.0	26.030000686645508		4.784999847412109		0.15000000596046448		5.900000095367432		0.0
50.0	26.030000686645508				0.14000000059604645		6.400000095367432		0.0
60.0	26.0		4.859000205993652		0.09000000357627869		6.199999809265137		0.0
70.0	23.780000686645508				0.07999999821186066		5.099999904632568		0.0
80.0	22.200000762939453		4.738999843597412		0.30000001192092896		4.400000095367432		0.0
90.0	21.600000381469727				0.7900000214576721		4.800000190734863		0.0
100.0	20.829999923706055		4.098999977111816		2.0399999618530273		4.599999904632568		0.0
110.0	19.6299991607666				7.21999979019165		5.400000095367432		0.0
120.0	18.670000076293945	36.38999938964844	3.0959999561309814		9.930000305175781		5.699999809265137		0.0
138.0	16.899999618530273	36.209999084472656			13.100000381469727		6.699999809265137		0.0
158.0	15.369999885559082	36.02000045776367			15.399999618530273		7.800000190734863		0.0
179.0	14.260000228881836	35.84000015258789			16.899999618530273		8.800000190734863		0.0
198.0	13.649999618530273	35.77000045776367			1.559999942779541		8.699999809265137		1.0
249.0	12.109999656677246	35.529998779296875			21.899999618530273		11.899999618530273		1.0
298.0	11.0	35.36000061035156			23.5		13.399999618530273		0.0
397.0	9.300000190734863	35.13999938964844			26.600000381469727		17.200000762939453		0.0
497.0	7.920000076293945	34.9900016784668			28.299999237060547		20.799999237060547		0.0
598.0	7.0	34.91999816894531			28.5		23.399999618530273		0.0
686.0		34.90299987792969			28.100000381469727		24.899999618530273		0.0
686.0	6.429999828338623	34.90399932861328			28.299999237060547		25.100000381469727		0.0

In total, there are 24 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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