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Dataset Title:	"Deepwater CTD - d94h169.bdo.nc - 27.84N, -94.59W - 1994-05-07"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94h169_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 15.0 27.0 38.0 53.0 63.0 74.0 93.0 130.0 176.0 254.0 266.0  m	12 options
temperature	= (ANY) 14.206899642944336 14.300399780273438 16.86709976196289 18.52090072631836 18.986600875854492 19.162200927734375 19.53070068359375 19.987699508666992 20.955299377441406 21.589599609375 23.247699737548828 23.92449951171875  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.85260009765625 35.86629867553711 35.94309997558594 35.95159912109375 36.21820068359375 36.2400016784668 36.32749938964844 36.34960174560547 36.354698181152344 36.3739013671875 36.38570022583008 36.387001037597656  PSU	12 options
oxygen	= (ANY) 2.700000047683716 2.7200000286102295 2.9100000858306885 3.359999895095825 3.5399999618530273 3.9000000953674316 3.9200000762939453 4.590000152587891 4.960000038146973 4.96999979019165 5.010000228881836 5.230000019073486  milliliters per liter	12 options
nitrite	= (ANY) 0.009999999776482582 0.029999999329447746 0.03999999910593033 0.07000000029802322 0.11999999731779099 0.12999999523162842 0.14000000059604645  micromols	7 options
nitrate	= (ANY) 0.05000000074505806 0.07000000029802322 0.07999999821186066 0.10000000149011612 1.8700000047683716 5.849999904632568 5.96999979019165 8.300000190734863 9.729999542236328 14.199999809265137 19.059999465942383 19.290000915527344  micromols	12 options
phosphate	= (ANY) 0.0 0.009999999776482582 0.07999999821186066 0.30000001192092896 0.3199999928474426 0.4399999976158142 0.5299999713897705 0.7900000214576721 1.1399999856948853 1.1799999475479126  micromols	10 options
silicate	= (ANY) 0.47999998927116394 0.5600000023841858 0.699999988079071 0.8299999833106995 1.3899999856948853 2.440000057220459 3.0399999618530273 3.309999942779541 3.75 4.619999885559082 7.429999828338623 7.809999942779541  micromols	12 options
salinity2	= (ANY) 35.85599899291992 35.87200164794922 35.952999114990234 35.96500015258789 36.24100112915039 36.24700164794922 36.34600067138672 36.349998474121094 36.354000091552734 36.38600158691406 36.391998291015625 36.395999908447266  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	23.92449951171875	35.94309997558594	4.96999979019165	0.009999999776482582	0.05000000074505806	0.009999999776482582	0.699999988079071	35.952999114990234	0.0
15.0	23.247699737548828	35.95159912109375	5.010000228881836	0.009999999776482582	0.07999999821186066	0.0	0.5600000023841858	35.96500015258789	0.0
27.0	21.589599609375	36.21820068359375	5.230000019073486	0.009999999776482582	0.07000000029802322	0.0	0.47999998927116394	36.24100112915039	0.0
38.0	20.955299377441406	36.354698181152344	4.960000038146973	0.009999999776482582	0.10000000149011612	0.0	0.8299999833106995	36.34600067138672	0.0
53.0	19.987699508666992	36.34960174560547	4.590000152587891	0.12999999523162842	1.8700000047683716	0.07999999821186066	1.3899999856948853	36.349998474121094	0.0
63.0	19.53070068359375	36.38570022583008	3.9000000953674316	0.14000000059604645	5.849999904632568	0.30000001192092896	2.440000057220459	36.395999908447266	0.0
74.0	19.162200927734375	36.32749938964844	3.9200000762939453	0.11999999731779099	5.96999979019165	0.3199999928474426	3.0399999618530273	36.354000091552734	0.0
93.0	18.986600875854492	36.387001037597656	3.5399999618530273	0.07000000029802322	8.300000190734863	0.4399999976158142	3.309999942779541	36.391998291015625	0.0
130.0	18.52090072631836	36.3739013671875	3.359999895095825	0.03999999910593033	9.729999542236328	0.5299999713897705	3.75	36.38600158691406	0.0
176.0	16.86709976196289	36.2400016784668	2.9100000858306885	0.029999999329447746	14.199999809265137	0.7900000214576721	4.619999885559082	36.24700164794922	0.0
254.0	14.300399780273438	35.86629867553711	2.7200000286102295	0.029999999329447746	19.059999465942383	1.1399999856948853	7.429999828338623	35.87200164794922	0.0
266.0	14.206899642944336	35.85260009765625	2.700000047683716	0.029999999329447746	19.290000915527344	1.1799999475479126	7.809999942779541	35.85599899291992	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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