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Dataset Title:	"Deepwater CTD - d94j167.bdo.nc - 27.8N, -95.05W - 1994-11-13"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94j167_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: 12)
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 9.0 19.0 29.0 39.0 45.0 59.0 84.0 103.0 132.0 204.0 309.0  m	12 options
temperature	= (ANY) 13.050700187683105 14.31190013885498 16.807100296020508 18.681100845336914 19.588499069213867 21.962499618530273 23.811399459838867 25.64430046081543 25.649499893188477 25.65130043029785 25.827499389648438 25.864700317382812  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.55070114135742 35.552101135253906 35.552799224853516 35.677799224853516 35.70949935913086 35.871299743652344 35.949798583984375 36.23059844970703 36.28519821166992 36.352901458740234 36.42129898071289 36.430999755859375  PSU	12 options
oxygen	= (ANY) 2.7699999809265137 2.809999942779541 2.8399999141693115 2.869999885559082 3.109999895095825 4.380000114440918 4.429999828338623 4.559999942779541 4.630000114440918 4.650000095367432 4.679999828338623 4.849999904632568  milliliters per liter	12 options
nitrite	= (ANY) 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.05000000074505806 0.05999999865889549 0.12999999523162842 0.1599999964237213  micromols	8 options
nitrate	= (ANY) 0.029999999329447746 0.07999999821186066 0.09000000357627869 0.10000000149011612 0.12999999523162842 0.28999999165534973 8.539999961853027 12.260000228881836 15.329999923706055 19.579999923706055 22.559999465942383  micromols	11 options
phosphate	= (ANY) 0.029999999329447746 0.03999999910593033 0.05000000074505806 0.4000000059604645 0.5799999833106995 0.7699999809265137 1.0399999618530273 1.25  micromols	8 options
silicate	= (ANY) 0.6200000047683716 1.9700000286102295 2.009999990463257 2.049999952316284 2.0899999141693115 2.1700000762939453 2.25 2.359999895095825 3.240000009536743 4.539999961853027 6.760000228881836 8.65999984741211  micromols	12 options
salinity2	= (ANY) 35.54600143432617 35.54899978637695 35.55099868774414 35.67399978637695 35.6870002746582 35.86800003051758 35.909000396728516 36.22999954223633 36.2760009765625 36.35100173950195 36.40999984741211 36.42599868774414  PSU	12 options
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 (potential temperature from ctd)	PSU	milliliters per liter	micromols	micromols	micromols	micromols	PSU
0.0	25.649499893188477	35.552799224853516	4.630000114440918	0.009999999776482582	0.28999999165534973	0.03999999910593033	2.25	35.54899978637695	0.0
9.0	25.64430046081543	35.55070114135742	4.849999904632568	0.009999999776482582	0.10000000149011612	0.03999999910593033	2.1700000762939453	35.54600143432617	0.0
19.0	25.65130043029785	35.552101135253906	4.679999828338623	0.009999999776482582	0.10000000149011612	0.03999999910593033	2.0899999141693115	35.55099868774414	0.0
29.0	25.864700317382812	35.70949935913086	4.650000095367432	0.019999999552965164	0.09000000357627869	0.029999999329447746	2.009999990463257	35.6870002746582	0.0
39.0	25.827499389648438	35.949798583984375	4.559999942779541	0.029999999329447746	0.07999999821186066	0.03999999910593033	1.9700000286102295	35.909000396728516	0.0
45.0	23.811399459838867	36.28519821166992	4.429999828338623	0.1599999964237213	0.029999999329447746	0.05000000074505806	2.049999952316284	36.2760009765625	0.0
59.0	21.962499618530273	36.352901458740234	4.380000114440918	0.12999999523162842	0.12999999523162842	0.05000000074505806	0.6200000047683716	36.35100173950195	0.0
84.0	19.588499069213867	36.430999755859375	3.109999895095825	0.05999999865889549	8.539999961853027	0.4000000059604645	2.359999895095825	36.42599868774414	0.0
103.0	18.681100845336914	36.42129898071289	2.809999942779541	0.05000000074505806	12.260000228881836	0.5799999833106995	3.240000009536743	36.40999984741211	0.0
132.0	16.807100296020508	36.23059844970703	2.8399999141693115	0.03999999910593033	15.329999923706055	0.7699999809265137	4.539999961853027	36.22999954223633	0.0
204.0	14.31190013885498	35.871299743652344	2.869999885559082	0.03999999910593033	19.579999923706055	1.0399999618530273	6.760000228881836	35.86800003051758	0.0
309.0	13.050700187683105	35.677799224853516	2.7699999809265137	0.029999999329447746	22.559999465942383	1.25	8.65999984741211	35.67399978637695	0.0

In total, there are 12 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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