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Dataset Title:	"Deepwater CTD - d93d053.bdo.nc - 27.97N, -91.32W - 1993-02-00"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93d053_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 8.0 18.0 38.0 58.0 78.0 98.0 128.0 157.0 177.0 193.0 262.0  m	12 options
temperature	= (ANY) 13.222000122070312 14.32409954071045 14.681300163269043 15.201700210571289 16.59589958190918 18.785900115966797 20.120800018310547 20.45599937438965 20.50670051574707 20.514999389648438 20.532699584960938 20.55030059814453  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.692100524902344 35.86289978027344 35.920101165771484 35.92610168457031 35.93960189819336 36.001800537109375 36.00559997558594 36.07500076293945 36.07979965209961 36.20899963378906 36.42599868774414 36.45859909057617  PSU	12 options
oxygen	= (ANY) 2.809999942779541 2.869999885559082 2.940000057220459 2.950000047683716 3.0 3.109999895095825 4.820000171661377 5.0 5.019999980926514 5.039999961853027 5.110000133514404  milliliters per liter	11 options
nitrite	= (ANY) 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.05000000074505806 0.05999999865889549 0.09000000357627869  micromols	6 options
nitrate	= (ANY) 0.05999999865889549 0.07000000029802322 0.10000000149011612 0.10999999940395355 0.2199999988079071 8.4399995803833 11.539999961853027 14.630000114440918 16.739999771118164 17.989999771118164 18.690000534057617 20.270000457763672  micromols	12 options
phosphate	= (ANY) 0.019999999552965164 0.029999999329447746 0.4099999964237213 0.5899999737739563 1.0199999809265137 1.0700000524520874 1.2100000381469727 1.309999942779541 1.4700000286102295  micromols	9 options
silicate	= (ANY) 1.4800000190734863 1.5499999523162842 1.5700000524520874 1.600000023841858 1.6299999952316284 4.329999923706055 5.460000038146973 6.369999885559082 7.900000095367432 8.8100004196167 9.569999694824219 10.920000076293945  micromols	12 options
salinity2	= (ANY) 35.729000091552734 35.869998931884766 35.91400146484375 35.93600082397461 35.939998626708984 36.00600051879883 36.03799819946289 36.08399963378906 36.09199905395508 36.21500015258789 36.422000885009766 36.47800064086914  PSU	12 options
qualityFlag	= (ANY) 0.0 1.0	2 options

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	20.532699584960938	35.93960189819336	5.0	0.029999999329447746	0.05999999865889549	0.029999999329447746	1.6299999952316284	35.939998626708984	0.0
8.0	20.45599937438965	35.92610168457031	5.110000133514404	0.029999999329447746	0.10000000149011612	0.029999999329447746	1.4800000190734863	35.93600082397461	0.0
18.0	20.50670051574707	36.00559997558594	5.019999980926514	0.019999999552965164	0.07000000029802322	0.019999999552965164	1.5499999523162842	36.03799819946289	0.0
38.0	20.55030059814453	36.07500076293945	5.039999961853027	0.019999999552965164	0.10999999940395355	0.029999999329447746	1.5700000524520874	36.08399963378906	0.0
58.0	20.514999389648438	36.07979965209961	4.820000171661377	0.019999999552965164	0.2199999988079071	0.4099999964237213	1.600000023841858	36.09199905395508	0.0
78.0	20.120800018310547	36.45859909057617	3.109999895095825	0.05999999865889549	8.4399995803833	0.5899999737739563	4.329999923706055	36.47800064086914	0.0
98.0	18.785900115966797	36.42599868774414	3.0	0.03999999910593033	11.539999961853027	1.309999942779541	5.460000038146973	36.422000885009766	0.0
128.0	16.59589958190918	36.20899963378906	2.869999885559082	0.03999999910593033	14.630000114440918	1.4700000286102295	6.369999885559082	36.21500015258789	0.0
157.0	15.201700210571289	36.001800537109375	2.869999885559082	0.05000000074505806	16.739999771118164	1.0199999809265137	7.900000095367432	36.00600051879883	0.0
177.0	14.681300163269043	35.920101165771484	2.950000047683716	0.05999999865889549	17.989999771118164	1.0700000524520874	8.8100004196167	35.91400146484375	0.0
193.0	14.32409954071045	35.86289978027344	2.940000057220459	0.09000000357627869	18.690000534057617	1.2100000381469727	9.569999694824219	35.869998931884766	0.0
262.0	13.222000122070312	35.692100524902344	2.809999942779541	0.09000000357627869	20.270000457763672	1.2100000381469727	10.920000076293945	35.729000091552734	1.0

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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