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Dataset Title:	"Deepwater CTD - 88g0525.bdo.nc - 26.65N, -94.71W - 1988-10-19"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_88g0525_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) 10.0 20.0 30.0 40.0 50.0 60.0 70.0 80.0 90.0 100.0 110.0 125.0 150.0 175.0 200.0 250.0 300.0 400.0 600.0 700.0 799.0 900.0 1000.0  m	23 options
temperature	= (ANY) 5.170000076293945 5.639999866485596 6.260000228881836 7.150000095367432 8.300000190734863 11.770000457763672 14.239999771118164 16.329999923706055 19.030000686645508 19.899999618530273 20.760000228881836 21.350000381469727 21.520000457763672 21.709999084472656 22.1200008392334 22.520000457763672 22.959999084472656 23.68000030517578 24.719999313354492 26.530000686645508 26.59000015258789 26.68000030517578 26.75  degree_C	23 options
salinity	= (ANY) 34.89699935913086 34.902000427246094 34.90399932861328 34.92599868774414 35.018001556396484 35.46500015258789 35.85100173950195 36.16299819946289 36.196998596191406 36.198001861572266 36.308998107910156 36.487998962402344 36.505001068115234 36.51499938964844 36.518001556396484 36.51900100708008 36.520999908447266 36.525001525878906 36.52899932861328 36.529998779296875 36.5369987487793 36.542999267578125  PSU	22 options
oxygen	= (ANY) 2.5179998874664307 2.5360000133514404 2.6089999675750732 2.6589999198913574 2.796999931335449 2.86899995803833 3.1670000553131104 3.2100000381469727 3.5360000133514404 3.647900104522705 4.340000152587891 4.526000022888184 4.599999904632568 4.632999897003174 4.748000144958496 4.785999774932861 4.788000106811523 4.810999870300293 4.831999778747559 4.879000186920166 4.926000118255615 5.117000102996826 5.310999870300293 5.4120001792907715  milliliters per liter	24 options
nitrite	= (ANY) 0.0 0.009999999776482582 0.029999999329447746 0.05000000074505806 0.1599999964237213  micromols per liter	5 options
nitrate	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.10000000149011612 1.100000023841858 2.5999999046325684 9.800000190734863 15.600000381469727 19.799999237060547 25.200000762939453 29.899999618530273 31.100000381469727 31.299999237060547 31.899999618530273  micromols	16 options
phosphate	= (ANY) 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.05999999865889549 0.15000000596046448 0.5199999809265137 0.8600000143051147 1.1399999856948853 1.6399999856948853 1.649999976158142 1.8200000524520874 1.8300000429153442 1.840000033378601 1.8899999856948853 1.909999966621399  micromols per liter	15 options
silicate	= (ANY) 0.30000001192092896 0.4000000059604645 0.5 0.6000000238418579 0.699999988079071 1.7000000476837158 1.899999976158142 2.299999952316284 4.800000190734863 7.099999904632568 11.100000381469727 19.0 21.899999618530273 24.100000381469727 24.899999618530273 25.0  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
10.0	26.59000015258789	36.198001861572266	4.831999778747559	0.0	0.019999999552965164	0.019999999552965164	1.7000000476837158		0.0
20.0	26.68000030517578	36.196998596191406	4.810999870300293	0.0	0.019999999552965164	0.009999999776482582	1.7000000476837158		0.0
30.0	26.75	36.308998107910156	4.748000144958496	0.0	0.029999999329447746	0.009999999776482582	1.899999976158142		0.0
40.0	26.530000686645508	36.525001525878906	4.879000186920166	0.0	0.029999999329447746	0.009999999776482582	0.699999988079071		0.0
50.0	24.719999313354492	36.542999267578125	5.4120001792907715	0.0	0.03999999910593033	0.009999999776482582	0.30000001192092896		0.0
60.0	23.68000030517578	36.52899932861328	5.310999870300293	0.009999999776482582	0.03999999910593033	0.009999999776482582	0.6000000238418579		0.0
70.0	22.959999084472656	36.520999908447266	5.117000102996826	0.009999999776482582	0.0	0.009999999776482582	0.699999988079071		0.0
80.0	22.520000457763672	36.51499938964844	4.926000118255615	0.009999999776482582	0.009999999776482582	0.019999999552965164	0.6000000238418579		0.0
90.0	22.1200008392334	36.51900100708008	4.788000106811523	0.05000000074505806	0.009999999776482582	0.019999999552965164	0.6000000238418579		0.0
100.0	21.709999084472656	36.518001556396484	4.785999774932861	0.05000000074505806	0.009999999776482582	0.019999999552965164	0.6000000238418579		0.0
110.0	21.520000457763672	36.529998779296875	4.599999904632568	0.1599999964237213	0.10000000149011612	0.029999999329447746	0.6000000238418579		0.0
125.0	21.350000381469727	36.529998779296875	4.632999897003174	0.1599999964237213	0.10000000149011612	0.029999999329447746	0.5		0.0
150.0	20.760000228881836	36.5369987487793	4.526000022888184	0.05000000074505806	1.100000023841858	0.05999999865889549	0.4000000059604645		0.0
175.0	19.899999618530273	36.505001068115234	4.340000152587891	0.029999999329447746	2.5999999046325684	0.15000000596046448	0.30000001192092896		0.0
200.0	19.030000686645508	36.487998962402344	3.1670000553131104	0.009999999776482582	9.800000190734863	0.5199999809265137	2.299999952316284		0.0
250.0	16.329999923706055	36.16299819946289	2.796999931335449	0.0	15.600000381469727	0.8600000143051147	4.800000190734863		0.0
300.0	14.239999771118164	35.85100173950195	2.6589999198913574	0.0	19.799999237060547	1.1399999856948853	7.099999904632568		0.0
400.0	11.770000457763672	35.46500015258789	2.5179998874664307	0.0	25.200000762939453	1.6399999856948853	11.100000381469727		0.0
400.0	11.770000457763672	35.46500015258789	2.5360000133514404	0.009999999776482582	25.200000762939453	1.649999976158142	11.100000381469727		0.0
600.0	8.300000190734863	35.018001556396484	2.6089999675750732	0.0	31.299999237060547	1.840000033378601	19.0		0.0
700.0	7.150000095367432	34.92599868774414	2.86899995803833	0.0	31.899999618530273	1.909999966621399	21.899999618530273		0.0
799.0	6.260000228881836	34.89699935913086	3.2100000381469727	0.0	31.100000381469727	1.8899999856948853	24.100000381469727		0.0
900.0	5.639999866485596	34.90399932861328	3.5360000133514404	0.009999999776482582	29.899999618530273	1.8300000429153442	24.899999618530273		0.0
1000.0	5.170000076293945	34.902000427246094	3.647900104522705	0.009999999776482582	29.899999618530273	1.8200000524520874	25.0		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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