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Dataset Title:	"Deepwater CTD - d94j162.bdo.nc - 27.43N, -96.11W - 1994-11-13"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94j162_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) 1.0 19.0 34.0 49.0 59.0 74.0 87.0 96.0 107.0 132.0 158.0 199.0  m	12 options
temperature	= (ANY) 15.298100471496582 16.187999725341797 17.122400283813477 18.72570037841797 19.42729949951172 20.71150016784668 22.170299530029297 24.511499404907227 26.119600296020508 26.148000717163086 26.229700088500977 26.374799728393555  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.86009979248047 35.883399963378906 35.980499267578125 36.027099609375 36.15660095214844 36.22589874267578 36.2869987487793 36.334999084472656 36.35150146484375 36.377201080322266 36.41579818725586 36.4208984375  PSU	12 options
oxygen	= (ANY) 2.7300000190734863 2.759999990463257 2.7699999809265137 2.8499999046325684 2.859999895095825 3.700000047683716 4.420000076293945 4.619999885559082 4.630000114440918 4.829999923706055 4.909999847412109  milliliters per liter	11 options
nitrite	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.07000000029802322 0.12999999523162842 0.27000001072883606  micromols	8 options
nitrate	= (ANY) 0.019999999552965164 0.07999999821186066 0.10999999940395355 0.23000000417232513 1.0399999618530273 6.840000152587891 9.59000015258789 12.359999656677246 14.359999656677246 16.239999771118164  micromols	10 options
phosphate	= (ANY) 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.17000000178813934 0.47999998927116394 0.6100000143051147 0.7599999904632568 0.8700000047683716 0.9800000190734863  micromols	10 options
silicate	= (ANY) 0.7900000214576721 0.9399999976158142 0.9700000286102295 1.159999966621399 1.2300000190734863 1.2999999523162842 1.7000000476837158 3.2100000381469727 3.359999895095825 3.9700000286102295 4.840000152587891 6.019999980926514  micromols	12 options
salinity2	= (ANY) 35.85200119018555 35.88199996948242 35.97999954223633 36.01900100708008 36.13999938964844 36.22999954223633 36.26300048828125 36.332000732421875 36.33599853515625 36.38100051879883 36.404998779296875 36.40599822998047  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
1.0	26.119600296020508	35.86009979248047	4.630000114440918	0.0	0.23000000417232513	0.03999999910593033	1.2999999523162842	35.85200119018555	0.0
19.0	26.148000717163086	35.883399963378906	4.630000114440918	0.009999999776482582	0.10999999940395355	0.009999999776482582	1.2300000190734863	35.88199996948242	0.0
34.0	26.229700088500977	35.980499267578125	4.909999847412109	0.009999999776482582	0.10999999940395355	0.009999999776482582	1.159999966621399	35.97999954223633	0.0
49.0	26.374799728393555	36.22589874267578	4.619999885559082	0.03999999910593033	0.07999999821186066	0.019999999552965164	0.9700000286102295	36.22999954223633	0.0
59.0	24.511499404907227	36.334999084472656	4.829999923706055	0.12999999523162842	0.019999999552965164	0.019999999552965164	0.9399999976158142	36.33599853515625	0.0
74.0	22.170299530029297	36.35150146484375	4.420000076293945	0.27000001072883606	0.019999999552965164	0.029999999329447746	0.7900000214576721	36.332000732421875	0.0
87.0	20.71150016784668	36.377201080322266	3.700000047683716	0.07000000029802322	1.0399999618530273	0.17000000178813934	1.7000000476837158	36.38100051879883	0.0
96.0	19.42729949951172	36.41579818725586	2.859999895095825	0.03999999910593033	6.840000152587891	0.47999998927116394	3.2100000381469727	36.404998779296875	0.0
107.0	18.72570037841797	36.4208984375	2.759999990463257	0.03999999910593033	9.59000015258789	0.6100000143051147	3.359999895095825	36.40599822998047	0.0
132.0	17.122400283813477	36.2869987487793	2.8499999046325684	0.019999999552965164	12.359999656677246	0.7599999904632568	3.9700000286102295	36.26300048828125	0.0
158.0	16.187999725341797	36.15660095214844	2.7699999809265137	0.019999999552965164	14.359999656677246	0.8700000047683716	4.840000152587891	36.13999938964844	0.0
199.0	15.298100471496582	36.027099609375	2.7300000190734863	0.029999999329447746	16.239999771118164	0.9800000190734863	6.019999980926514	36.01900100708008	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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