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Dataset Title:	"Deepwater CTD - d93f040.bdo.nc - 27.92N, -90.51W - 1993-07-28"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93f040_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 39.0 56.0 78.0 108.0 147.0 199.0 297.0 396.0 499.0  m	12 options
temperature	= (ANY) 7.922699928283691 9.643199920654297 11.077899932861328 13.803500175476074 15.545299530029297 19.083499908447266 21.8789005279541 24.89310073852539 28.274999618530273 29.268299102783203 29.593000411987305 30.45330047607422  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 29.30270004272461 33.702598571777344 34.98429870605469 35.1786994934082 35.37950134277344 35.4556999206543 35.79159927368164 36.062198638916016 36.143699645996094 36.237098693847656 36.295501708984375 36.41910171508789  PSU	12 options
oxygen	= (ANY) 2.6600000858306885 2.680000066757202 2.819999933242798 2.9600000381469727 2.9700000286102295 3.380000114440918 4.159999847412109 4.579999923706055 4.610000133514404 4.769999980926514 4.840000152587891  milliliters per liter	11 options
nitrite	= (ANY) 0.019999999552965164 0.029999999329447746 0.05999999865889549 0.23000000417232513  micromols	4 options
nitrate	= (ANY) 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.10000000149011612 2.259999990463257 8.550000190734863 15.989999771118164 19.100000381469727 25.280000686645508 27.639999389648438 30.06999969482422  micromols	11 options
phosphate	= (ANY) 0.0 0.009999999776482582 0.029999999329447746 0.12999999523162842 0.47999998927116394 0.8999999761581421 1.1299999952316284 1.5299999713897705 1.7000000476837158 1.909999966621399  micromols	10 options
silicate	= (ANY) 2.130000114440918 2.4600000381469727 2.5799999237060547 2.7699999809265137 3.0799999237060547 3.2899999618530273 5.309999942779541 6.96999979019165 8.710000038146973 13.859999656677246 16.43000030517578 21.3700008392334  micromols	12 options
salinity2	= (ANY) 30.371999740600586 34.14400100708008 34.983001708984375 35.1879997253418 35.36600112915039 35.7859992980957 35.790000915527344 36.055999755859375 36.12200164794922 36.25600051879883 36.301998138427734 36.4010009765625  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	30.45330047607422	29.30270004272461	4.610000133514404	0.019999999552965164	0.029999999329447746	0.009999999776482582	2.4600000381469727	30.371999740600586	0.0
9.0	29.593000411987305	33.702598571777344	4.579999923706055	0.019999999552965164	0.019999999552965164	0.0	3.2899999618530273	34.14400100708008	0.0
19.0	29.268299102783203	35.4556999206543	4.579999923706055	0.019999999552965164	0.019999999552965164	0.009999999776482582	3.0799999237060547	35.790000915527344	0.0
39.0	28.274999618530273	36.143699645996094	4.769999980926514	0.019999999552965164	0.009999999776482582	0.0	2.5799999237060547	36.12200164794922	0.0
56.0	24.89310073852539	36.237098693847656	4.840000152587891	0.05999999865889549	0.10000000149011612	0.029999999329447746	2.130000114440918	36.25600051879883	0.0
78.0	21.8789005279541	36.41910171508789	4.159999847412109	0.23000000417232513	2.259999990463257	0.12999999523162842	2.7699999809265137	36.4010009765625	0.0
108.0	19.083499908447266	36.295501708984375	3.380000114440918	0.05999999865889549	8.550000190734863	0.47999998927116394	5.309999942779541	36.301998138427734	0.0
147.0	15.545299530029297	36.062198638916016	2.9700000286102295	0.019999999552965164	15.989999771118164	0.8999999761581421	6.96999979019165	36.055999755859375	0.0
199.0	13.803500175476074	35.79159927368164	2.9600000381469727	0.019999999552965164	19.100000381469727	1.1299999952316284	8.710000038146973	35.7859992980957	0.0
297.0	11.077899932861328	35.37950134277344	2.6600000858306885	0.019999999552965164	25.280000686645508	1.5299999713897705	13.859999656677246	35.36600112915039	0.0
396.0	9.643199920654297	35.1786994934082	2.680000066757202	0.019999999552965164	27.639999389648438	1.7000000476837158	16.43000030517578	35.1879997253418	0.0
499.0	7.922699928283691	34.98429870605469	2.819999933242798	0.029999999329447746	30.06999969482422	1.909999966621399	21.3700008392334	34.983001708984375	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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