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Dataset Title:	"Deepwater CTD - d94j049.bdo.nc - 27.65N, -92.0W - 1994-11-05"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94j049_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) 2.0 39.0 59.0 73.0 90.0 103.0 124.0 160.0 228.0 327.0 438.0 855.0  m	12 options
temperature	= (ANY) 5.621699810028076 10.328499794006348 11.879500389099121 14.278599739074707 16.85059928894043 18.71969985961914 19.838300704956055 20.599000930786133 22.1289005279541 23.89419937133789 26.983800888061523 27.088499069213867  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 34.90340042114258 35.257198333740234 35.483001708984375 35.86109924316406 36.24760055541992 36.25410079956055 36.273799896240234 36.2943000793457 36.32080078125 36.34749984741211 36.43519973754883 36.459999084472656  PSU	12 options
oxygen	= (ANY) 2.7799999713897705 2.8499999046325684 2.9100000858306885 3.0999999046325684 3.1500000953674316 3.5399999618530273 3.5999999046325684 3.9100000858306885 4.599999904632568 4.639999866485596 4.760000228881836 5.260000228881836  milliliters per liter	12 options
nitrite	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.05000000074505806  micromols	6 options
nitrate	= (ANY) 0.009999999776482582 0.019999999552965164 0.03999999910593033 3.130000114440918 6.519999980926514 10.069999694824219 12.4399995803833 18.020000457763672 23.059999465942383 25.6200008392334 29.5  micromols	11 options
phosphate	= (ANY) 0.0 0.009999999776482582 0.1599999964237213 0.3100000023841858 0.5299999713897705 0.7300000190734863 1.0399999618530273 1.3799999952316284 1.590000033378601 1.840000033378601  micromols	10 options
silicate	= (ANY) 0.6600000262260437 0.800000011920929 0.9800000190734863 1.0700000524520874 2.190000057220459 2.640000104904175 3.0899999141693115 4.579999923706055 7.150000095367432 10.420000076293945 13.40999984741211 24.209999084472656  micromols	12 options
salinity2	= (ANY) 34.90399932861328 35.2599983215332 35.481998443603516 35.867000579833984 36.23899841308594 36.26599884033203 36.27199935913086 36.29600143432617 36.31999969482422 36.34199905395508 36.43899917602539 36.4630012512207  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
2.0	27.088499069213867	36.273799896240234	4.599999904632568	0.0	0.019999999552965164	0.009999999776482582	1.0700000524520874	36.27199935913086	0.0
39.0	26.983800888061523	36.2943000793457	4.639999866485596	0.0	0.009999999776482582	0.0	0.9800000190734863	36.29600143432617	0.0
59.0	23.89419937133789	36.25410079956055	5.260000228881836	0.0	0.009999999776482582	0.009999999776482582	0.800000011920929	36.23899841308594	0.0
73.0	22.1289005279541	36.32080078125	4.760000228881836	0.009999999776482582	0.03999999910593033	0.009999999776482582	0.6600000262260437	36.31999969482422	0.0
90.0	20.599000930786133	36.34749984741211	3.9100000858306885	0.05000000074505806	3.130000114440918	0.1599999964237213	2.640000104904175	36.34199905395508	0.0
103.0	19.838300704956055	36.43519973754883	3.5399999618530273	0.03999999910593033	6.519999980926514	0.3100000023841858	2.190000057220459	36.43899917602539	0.0
124.0	18.71969985961914	36.459999084472656	3.1500000953674316	0.029999999329447746	10.069999694824219	0.5299999713897705	3.0899999141693115	36.4630012512207	0.0
160.0	16.85059928894043	36.24760055541992	3.0999999046325684	0.009999999776482582	12.4399995803833	0.7300000190734863	4.579999923706055	36.26599884033203	0.0
228.0	14.278599739074707	35.86109924316406	2.9100000858306885	0.009999999776482582	18.020000457763672	1.0399999618530273	7.150000095367432	35.867000579833984	0.0
327.0	11.879500389099121	35.483001708984375	2.8499999046325684	0.009999999776482582	23.059999465942383	1.3799999952316284	10.420000076293945	35.481998443603516	0.0
438.0	10.328499794006348	35.257198333740234	2.7799999713897705	0.009999999776482582	25.6200008392334	1.590000033378601	13.40999984741211	35.2599983215332	0.0
855.0	5.621699810028076	34.90340042114258	3.5999999046325684	0.019999999552965164	29.5	1.840000033378601	24.209999084472656	34.90399932861328	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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