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Dataset Title:	"Deepwater CTD - 03277352.ctd.nc - 25.47N, -84.51W - 1982-00-14"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03277352_ctd)
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: 45)
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 15.0 23.0 25.0 28.0 29.0 30.0 34.0 36.0 37.0 38.0 42.0 44.0 46.0 52.0 57.0 58.0 61.0 68.0 76.0 88.0 90.0 95.0 101.0 109.0 125.0 131.0 142.0 150.0 162.0 170.0 185.0 192.0 200.0  m	35 options
temperature	= (ANY) 13.399999618530273 13.5 14.0 14.5 15.0 15.5 16.0 16.5 17.0 17.5 18.0 18.5 19.0 19.5 20.0 20.5 21.0 21.5 22.0 22.5 23.0 23.5 24.0 24.5 25.0 25.5 26.0 26.5 27.5 28.0 28.5 29.0 29.100000381469727  degree_C	34 options
oxygen	= (ANY) -99.98999786376953 0.0 3.6500000953674316 3.6600000858306885 4.25 4.300000190734863 4.369999885559082 4.579999923706055 4.670000076293945 4.679999828338623 4.809999942779541 4.989999771118164  milliliters per liter	12 options
nitrite	= (ANY) -99.98999786376953 0.11999999731779099 0.2199999988079071 0.3199999928474426 0.5199999809265137 0.7200000286102295  micromols	7 options
nitrate	= (ANY) -99.98999786376953 0.10000000149011612 0.30000001192092896 3.799999952316284 6.300000190734863 9.600000381469727 15.399999618530273 20.399999618530273 24.600000381469727 25.899999618530273 27.200000762939453  micromols	12 options
phosphate	= (ANY) -99.98999786376953 0.009999999776482582 0.019999999552965164 0.05000000074505806 0.20000000298023224 0.3199999928474426 0.5 0.7900000214576721 1.090000033378601 1.440000057220459 1.5499999523162842 1.590000033378601  micromols	13 options
silicate	= (ANY) 0.20000000298023224 0.699999988079071 0.8999999761581421 1.2000000476837158 1.5 1.7999999523162842 2.5 4.0 6.400000095367432 12.5 13.0 13.5  micromols	13 options
salinity2	= (ANY) -99.0  PSU	2 options
qualityFlag	= (ANY) 0.0	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	oxygen	nitrite	nitrate	phosphate	silicate	salinity2	qualityFlag
m	degree_C	milliliters per liter	micromols	micromols	micromols	micromols	PSU
0.0	29.100000381469727	-99.98999786376953	-99.98999786376953	-99.98999786376953	-99.98999786376953	0.20000000298023224	-99.0	0.0
15.0	29.100000381469727	-99.98999786376953	-99.98999786376953	0.10000000149011612	0.009999999776482582	0.699999988079071	-99.0	0.0
23.0	29.0	-99.98999786376953	-99.98999786376953	-99.98999786376953	0.019999999552965164	0.8999999761581421	-99.0	0.0
25.0	28.5	-99.98999786376953	0.3199999928474426	0.30000001192092896	0.05000000074505806	1.2000000476837158	-99.0	0.0
28.0	28.0	-99.98999786376953	0.5199999809265137	3.799999952316284	0.20000000298023224	1.5	-99.0	0.0
29.0	27.5	-99.98999786376953	0.3199999928474426	6.300000190734863	0.3199999928474426	1.7999999523162842	-99.0	0.0
30.0	26.5	-99.98999786376953	0.2199999988079071	9.600000381469727	0.5	2.5	-99.0	0.0
34.0	26.0	-99.98999786376953	0.11999999731779099	15.399999618530273	0.7900000214576721	4.0	-99.0	0.0
36.0	25.5	-99.98999786376953	0.11999999731779099	20.399999618530273	1.090000033378601	6.400000095367432	-99.0	0.0
37.0	25.0	-99.98999786376953	0.7200000286102295	24.600000381469727	1.440000057220459	13.5	-99.0	0.0
38.0	24.5	-99.98999786376953	-99.98999786376953	27.200000762939453	1.590000033378601	12.5	-99.0	0.0
42.0	24.0	-99.98999786376953	0.2199999988079071	25.899999618530273	1.5499999523162842	13.0	-99.0	0.0
44.0	23.5	-99.98999786376953						0.0
46.0	23.0	-99.98999786376953						0.0
52.0	22.5	-99.98999786376953						0.0
57.0	22.0	-99.98999786376953						0.0
58.0	21.5	-99.98999786376953						0.0
61.0	21.0	-99.98999786376953						0.0
68.0	20.5	-99.98999786376953						0.0
76.0	20.0	-99.98999786376953						0.0
88.0	19.5	-99.98999786376953						0.0
90.0	19.0	-99.98999786376953						0.0
95.0	18.5	4.679999828338623						0.0
101.0	18.0	-99.98999786376953						0.0
109.0	17.5	-99.98999786376953						0.0
125.0	17.0	-99.98999786376953						0.0
131.0	16.5	-99.98999786376953						0.0
142.0	16.0	-99.98999786376953						0.0
150.0	15.5	-99.98999786376953						0.0
162.0	15.0	-99.98999786376953						0.0
170.0	14.5	-99.98999786376953						0.0
185.0	14.0	-99.98999786376953						0.0
192.0	13.5	-99.98999786376953						0.0
200.0	13.399999618530273	-99.98999786376953						0.0
		-99.98999786376953
		0.0
		3.6500000953674316
		3.6600000858306885
		4.25
		4.300000190734863
		4.369999885559082
		4.579999923706055
		4.670000076293945
		4.809999942779541
		4.989999771118164

In total, there are 45 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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