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Dataset Title:	"Deepwater CTD - 88g0533.bdo.nc - 27.04N, -95.5W - 1988-10-21"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_88g0533_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: 23)
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) 20.0 30.0 40.0 50.0 60.0 70.0 80.0 90.0 110.0 125.0 150.0 175.0 250.0 400.0 500.0 600.0 700.0 800.0 1000.0  m	19 options
temperature	= (ANY) 5.300000190734863 6.559999942779541 6.980000019073486 8.130000114440918 9.510000228881836 11.390000343322754 16.100000381469727 19.93000030517578 20.559999465942383 21.200000762939453 21.469999313354492 22.149999618530273 22.68000030517578 23.649999618530273 24.8700008392334 26.309999465942383 26.530000686645508 26.540000915527344 26.56999969482422  degree_C	19 options
salinity	= (ANY) 34.9010009765625 34.904998779296875 34.915000915527344 34.92300033569336 35.00299835205078 35.15999984741211 35.41899871826172 36.11800003051758 36.4010009765625 36.402000427246094 36.40299987792969 36.4370002746582 36.47700119018555 36.47800064086914 36.50400161743164 36.507999420166016 36.5099983215332 36.51100158691406 36.527000427246094  PSU	19 options
oxygen	= (ANY) 2.5239999294281006 2.5940001010894775 2.6519999504089355 2.933000087738037 3.0139999389648438 3.0429999828338623 3.385999917984009 3.753999948501587 3.7690000534057617 4.116000175476074 4.133999824523926 4.561999797821045 4.578000068664551 4.59499979019165 4.605000019073486 4.663000106811523 4.679999828338623 4.685999870300293 4.696000099182129 4.796000003814697 4.796999931335449 4.914000034332275 4.928999900817871  milliliters per liter	23 options
nitrite	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.05000000074505806 0.15000000596046448 0.1599999964237213 0.18000000715255737  micromols per liter	9 options
nitrate	= (ANY) 0.0 0.03999999910593033 0.10000000149011612 0.20000000298023224 0.30000001192092896 0.5 3.700000047683716 16.600000381469727 25.799999237060547 28.600000381469727 28.700000762939453 29.200000762939453 30.0 30.799999237060547 31.100000381469727 31.200000762939453  micromols	16 options
phosphate	= (ANY) 0.0 0.029999999329447746 0.03999999910593033 0.05000000074505806 0.17000000178813934 0.18000000715255737 0.9100000262260437 1.5099999904632568 1.75 1.7899999618530273 1.7999999523162842 1.8799999952316284 1.9199999570846558 1.9299999475479126  micromols per liter	15 options
silicate	= (ANY) 1.100000023841858 1.2000000476837158 1.2999999523162842 1.399999976158142 1.5 1.7000000476837158 1.7999999523162842 1.899999976158142 6.099999904632568 12.600000381469727 16.700000762939453 19.799999237060547 22.600000381469727 23.700000762939453 25.100000381469727 26.200000762939453  micromols per liter	16 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
20.0	26.530000686645508	36.402000427246094	4.679999828338623	0.0	0.10000000149011612	0.0	1.7000000476837158		0.0
30.0	26.56999969482422	36.4010009765625	4.696000099182129	0.0	0.30000001192092896	0.0	1.5		0.0
40.0	26.540000915527344	36.40299987792969	4.605000019073486	0.0	0.20000000298023224	0.0	1.5		0.0
50.0	26.309999465942383	36.4370002746582	4.59499979019165	0.009999999776482582	0.20000000298023224	0.0	1.2000000476837158		0.0
60.0	24.8700008392334	36.47800064086914	4.685999870300293	0.0	0.03999999910593033	0.0	1.2000000476837158		0.0
70.0	23.649999618530273	36.50400161743164	4.928999900817871	0.0	0.03999999910593033	0.0	1.5		0.0
80.0	22.68000030517578	36.507999420166016	4.914000034332275	0.009999999776482582	0.0	0.0	1.399999976158142		0.0
90.0	22.149999618530273	36.507999420166016	4.796999931335449	0.03999999910593033	0.30000001192092896		1.2999999523162842		0.0
90.0	22.149999618530273	36.5099983215332	4.796000003814697	0.05000000074505806	0.30000001192092896	0.03999999910593033	1.2999999523162842		0.0
110.0	21.469999313354492	36.51100158691406	4.663000106811523	0.15000000596046448	0.20000000298023224	0.029999999329447746	1.2999999523162842		0.0
125.0	21.200000762939453	36.5099983215332	4.578000068664551	0.1599999964237213	0.30000001192092896	0.05000000074505806	1.399999976158142		0.0
150.0	20.559999465942383	36.527000427246094	4.561999797821045	0.18000000715255737	0.5	0.05000000074505806	1.100000023841858		0.0
175.0	19.93000030517578	36.47700119018555	4.116000175476074	0.029999999329447746	3.700000047683716	0.18000000715255737	1.7999999523162842		0.0
175.0	19.93000030517578	36.47700119018555	4.133999824523926	0.03999999910593033	3.700000047683716	0.17000000178813934	1.899999976158142		0.0
250.0	16.100000381469727	36.11800003051758	2.933000087738037	0.019999999552965164	16.600000381469727	0.9100000262260437	6.099999904632568		0.0
400.0	11.390000343322754	35.41899871826172	2.5940001010894775	0.009999999776482582	25.799999237060547	1.5099999904632568	12.600000381469727		0.0
500.0	9.510000228881836	35.15999984741211	2.5239999294281006	0.009999999776482582	29.200000762939453	1.75	16.700000762939453		0.0
600.0	8.130000114440918	35.00299835205078	2.6519999504089355	0.009999999776482582	30.799999237060547	1.8799999952316284	19.799999237060547		0.0
700.0	6.980000019073486	34.92300033569336	3.0139999389648438	0.019999999552965164	31.200000762939453	1.9199999570846558	22.600000381469727		0.0
800.0	6.559999942779541	34.9010009765625	3.385999917984009	0.019999999552965164	30.0	1.8799999952316284	25.100000381469727		0.0
800.0	6.559999942779541	34.904998779296875	3.0429999828338623	0.019999999552965164	31.100000381469727	1.9299999475479126	23.700000762939453		0.0
1000.0	5.300000190734863	34.915000915527344	3.753999948501587	0.019999999552965164	28.600000381469727	1.7999999523162842	26.200000762939453		0.0
1000.0	5.300000190734863	34.915000915527344	3.7690000534057617	0.019999999552965164	28.700000762939453	1.7899999618530273	26.200000762939453		0.0

In total, there are 23 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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