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Dataset Title:	"Deepwater CTD - 89g1541.bdo.nc - 27.76N, -95.07W - 1989-11-17"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_89g1541_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: 18)
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) 3.0 10.0 20.0 30.0 41.0 51.0 60.0 70.0 79.0 89.0 99.0 110.0 118.0 137.0 158.0 176.0 197.0 225.0  m	18 options
temperature	= (ANY) 14.470000267028809 15.75 16.360000610351562 16.979999542236328 17.93000030517578 19.049999237060547 19.200000762939453 19.989999771118164 20.479999542236328 21.549999237060547 22.280000686645508 24.209999084472656 24.600000381469727 24.610000610351562 24.6200008392334  degree_C	15 options
salinity	= (ANY) 35.874000549316406 36.07699966430664 36.11600112915039 36.11800003051758 36.119998931884766 36.12099838256836 36.14500045776367 36.18000030517578 36.26300048828125 36.28300094604492 36.41999816894531 36.470001220703125 36.50199890136719 36.53099822998047 36.56800079345703 36.569000244140625 36.573001861572266  PSU	17 options
oxygen	= (ANY) 2.947999954223633 3.071000099182129 3.1570000648498535 3.1730000972747803 3.184999942779541 3.190999984741211 3.2049999237060547 3.2839999198913574 3.371000051498413 3.617000102996826 4.111000061035156 4.504000186920166 4.658999919891357 4.73799991607666 4.748000144958496 4.752999782562256 4.757999897003174  milliliters per liter	17 options
nitrite	= (ANY)  micromols per liter	1 option:
nitrate	= (ANY) 0.0 0.10000000149011612 0.8999999761581421 1.0 4.300000190734863 6.0 8.699999809265137 10.100000381469727 10.5 11.0 13.100000381469727 14.199999809265137 15.699999809265137 18.600000381469727  micromols	14 options
phosphate	= (ANY) 0.14000000059604645 0.1599999964237213 0.18000000715255737 0.20000000298023224 0.20999999344348907 0.5299999713897705 0.5699999928474426 0.6299999952316284 0.6399999856948853 0.699999988079071 0.7200000286102295 0.7900000214576721 0.8999999761581421 1.1100000143051147  micromols per liter	14 options
silicate	= (ANY) 0.0 0.20000000298023224 0.30000001192092896 0.4000000059604645 1.0 1.399999976158142 1.7000000476837158 2.0 2.5 3.200000047683716 3.700000047683716 4.699999809265137 6.199999809265137  micromols per liter	13 options
salinity2	= (ANY)  PSU	1 option:
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	PSU	milliliters per liter	micromols per liter	micromols	micromols per liter	micromols per liter	PSU
3.0	24.600000381469727	36.119998931884766	4.748000144958496		0.10000000149011612	0.1599999964237213	0.30000001192092896		0.0
10.0	24.610000610351562	36.11600112915039	4.757999897003174		0.10000000149011612	0.14000000059604645	0.0		0.0
20.0	24.610000610351562	36.12099838256836	4.752999782562256		0.0	0.1599999964237213	0.0		0.0
30.0	24.6200008392334	36.11800003051758	4.752999782562256		0.0	0.1599999964237213	0.0		0.0
41.0	24.6200008392334	36.14500045776367	4.73799991607666		0.8999999761581421	0.18000000715255737	0.20000000298023224		0.0
51.0	24.600000381469727	36.26300048828125	4.658999919891357		0.0	0.18000000715255737	0.20000000298023224		0.0
60.0	24.209999084472656	36.470001220703125	4.504000186920166		0.10000000149011612	0.20000000298023224	0.0		0.0
70.0	22.280000686645508	36.569000244140625	4.111000061035156		1.0	0.20000000298023224	0.0		0.0
79.0	21.549999237060547	36.573001861572266	3.617000102996826		4.300000190734863	0.20999999344348907	0.4000000059604645		0.0
89.0	20.479999542236328	36.56800079345703	3.371000051498413		6.0	0.5299999713897705	1.0		0.0
99.0	19.989999771118164	36.53099822998047	3.184999942779541		8.699999809265137	0.5699999928474426	1.399999976158142		0.0
110.0	19.200000762939453	36.50199890136719	3.1570000648498535		10.100000381469727	0.6299999952316284	1.7000000476837158		0.0
118.0	19.049999237060547	36.50199890136719	3.1730000972747803		10.5	0.699999988079071	2.0		0.0
137.0	17.93000030517578	36.41999816894531	3.2839999198913574		11.0	0.6399999856948853	2.5		0.0
158.0	16.979999542236328	36.28300094604492	3.190999984741211		13.100000381469727	0.7200000286102295	3.200000047683716		0.0
176.0	16.360000610351562	36.18000030517578	3.2049999237060547		14.199999809265137	0.7900000214576721	3.700000047683716		0.0
197.0	15.75	36.07699966430664	3.071000099182129		15.699999809265137	0.8999999761581421	4.699999809265137		0.0
225.0	14.470000267028809	35.874000549316406	2.947999954223633		18.600000381469727	1.1100000143051147	6.199999809265137		0.0

In total, there are 18 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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