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Dataset Title:	"Deepwater CTD - d94j020.bdo.nc - 27.86N, -90.5W - 1994-11-04"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94j020_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 18.0 40.0 62.0 72.0 89.0 110.0 136.0 211.0 323.0 418.0 636.0  m	12 options
temperature	= (ANY) -9.0 7.441699981689453 11.803400039672852 14.220100402832031 17.03820037841797 18.550600051879883 19.970399856567383 20.741100311279297 21.312999725341797 24.546499252319336 26.542499542236328 26.5487003326416  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) -9.0 34.93840026855469 35.469200134277344 35.84870147705078 36.149600982666016 36.154998779296875 36.27920150756836 36.30649948120117 36.30690002441406 36.392799377441406 36.41379928588867 36.512001037597656  PSU	12 options
oxygen	= (ANY) 2.740000009536743 2.8299999237060547 2.930000066757202 3.0 3.109999895095825 3.200000047683716 3.299999952316284 3.7899999618530273 4.260000228881836 4.639999866485596 4.699999809265137 4.96999979019165  milliliters per liter	12 options
nitrite	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.07999999821186066 0.15000000596046448  micromols	7 options
nitrate	= (ANY) 0.05000000074505806 0.05999999865889549 0.6200000047683716 3.549999952316284 8.170000076293945 10.920000076293945 12.270000457763672 17.739999771118164 22.59000015258789 25.399999618530273 29.479999542236328  micromols	11 options
phosphate	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.05999999865889549 0.1899999976158142 0.4000000059604645 0.550000011920929 0.6600000262260437 1.0399999618530273 1.3700000047683716 1.590000033378601 1.899999976158142  micromols	12 options
silicate	= (ANY) 0.5299999713897705 0.8600000143051147 0.9599999785423279 1.8300000429153442 2.140000104904175 2.259999990463257 3.0199999809265137 3.7200000286102295 6.869999885559082 9.989999771118164 12.920000076293945 19.540000915527344  micromols	12 options
salinity2	= (ANY) 34.94200134277344 35.24599838256836 35.47200012207031 35.85499954223633 36.1510009765625 36.15599822998047 36.292999267578125 36.30500030517578 36.31100082397461 36.39899826049805 36.41600036621094 36.499000549316406  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	26.542499542236328	36.154998779296875	4.639999866485596	0.009999999776482582	0.05999999865889549	0.0	0.9599999785423279	36.15599822998047	0.0
18.0	26.5487003326416	36.149600982666016	4.699999809265137	0.009999999776482582	0.05999999865889549	0.009999999776482582	0.5299999713897705	36.1510009765625	0.0
40.0	24.546499252319336	36.30690002441406	4.96999979019165	0.009999999776482582	0.05000000074505806	0.019999999552965164	0.8600000143051147	36.30500030517578	0.0
62.0	21.312999725341797	36.30649948120117	4.260000228881836	0.15000000596046448	0.6200000047683716	0.05999999865889549	1.8300000429153442	36.31100082397461	0.0
72.0	20.741100311279297	36.392799377441406	3.7899999618530273	0.07999999821186066	3.549999952316284	0.1899999976158142	2.259999990463257	36.39899826049805	0.0
89.0	19.970399856567383	36.512001037597656	3.299999952316284	0.03999999910593033	8.170000076293945	0.4000000059604645	2.140000104904175	36.499000549316406	0.0
110.0	18.550600051879883	36.41379928588867	3.109999895095825	0.029999999329447746	10.920000076293945	0.550000011920929	3.0199999809265137	36.41600036621094	0.0
136.0	17.03820037841797	36.27920150756836	3.200000047683716	0.019999999552965164	12.270000457763672	0.6600000262260437	3.7200000286102295	36.292999267578125	0.0
211.0	14.220100402832031	35.84870147705078	3.0	0.019999999552965164	17.739999771118164	1.0399999618530273	6.869999885559082	35.85499954223633	0.0
323.0	11.803400039672852	35.469200134277344	2.8299999237060547	0.009999999776482582	22.59000015258789	1.3700000047683716	9.989999771118164	35.47200012207031	0.0
418.0	-9.0	-9.0	2.740000009536743	0.009999999776482582	25.399999618530273	1.590000033378601	12.920000076293945	35.24599838256836	0.0
636.0	7.441699981689453	34.93840026855469	2.930000066757202	0.0	29.479999542236328	1.899999976158142	19.540000915527344	34.94200134277344	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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