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Dataset Title:	"Deepwater CTD - d94i120.bdo.nc - 27.46N, -95.7W - 1994-00-04"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94i120_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 14.0 32.0 52.0 70.0 90.0 118.0 160.0 242.0 297.0 348.0 696.0  m	12 options
temperature	= (ANY) 6.025100231170654 9.843700408935547 10.651100158691406 11.938199996948242 14.563300132751465 16.877700805664062 18.778900146484375 20.095699310302734 22.51460075378418 26.27239990234375 28.70949935913086 28.712799072265625  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 34.90409851074219 35.21379852294922 35.322601318359375 35.50830078125 35.90959930419922 36.242698669433594 36.3036994934082 36.340301513671875 36.357200622558594 36.416099548339844 36.444698333740234  PSU	11 options
oxygen	= (ANY) 2.5799999237060547 2.5899999141693115 2.619999885559082 2.75 2.8399999141693115 2.8499999046325684 3.359999895095825 3.549999952316284 4.559999942779541 4.570000171661377 4.960000038146973 5.090000152587891  milliliters per liter	12 options
nitrite	= (ANY) 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.05000000074505806 0.11999999731779099 0.3100000023841858  micromols	6 options
nitrate	= (ANY) 0.0 0.029999999329447746 0.03999999910593033 0.11999999731779099 5.139999866485596 11.270000457763672 14.369999885559082 18.260000228881836 23.40999984741211 25.899999618530273 27.450000762939453 29.700000762939453  micromols	12 options
phosphate	= (ANY) 0.03999999910593033 0.05000000074505806 0.27000001072883606 0.5799999833106995 0.7900000214576721 1.0399999618530273 1.3799999952316284 1.5499999523162842 1.659999966621399 1.8700000047683716  micromols	10 options
silicate	= (ANY) 0.38999998569488525 0.7699999809265137 1.2300000190734863 1.5700000524520874 1.6299999952316284 3.200000047683716 4.849999904632568 7.210000038146973 10.630000114440918 12.800000190734863 14.520000457763672 24.1200008392334  micromols	12 options
salinity2	= (ANY) 34.90299987792969 35.2130012512207 35.31999969482422 35.507999420166016 35.9119987487793 36.244998931884766 36.305999755859375 36.3120002746582 36.34000015258789 36.40800094604492 36.409000396728516 36.44499969482422  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	28.712799072265625	36.3036994934082	4.570000171661377	0.019999999552965164	0.11999999731779099	0.05000000074505806	1.5700000524520874	36.305999755859375	0.0
14.0	28.70949935913086	36.3036994934082	4.559999942779541	0.029999999329447746	0.03999999910593033	0.03999999910593033	1.2300000190734863	36.3120002746582	0.0
32.0	26.27239990234375	36.357200622558594	5.090000152587891	0.029999999329447746	0.029999999329447746	0.05000000074505806	0.7699999809265137	36.409000396728516	0.0
52.0	22.51460075378418	36.340301513671875	4.960000038146973	0.029999999329447746	0.0	0.05000000074505806	0.38999998569488525	36.34000015258789	0.0
70.0	20.095699310302734	36.416099548339844	3.549999952316284	0.3100000023841858	5.139999866485596	0.27000001072883606	1.6299999952316284	36.40800094604492	0.0
90.0	18.778900146484375	36.444698333740234	2.8399999141693115	0.11999999731779099	11.270000457763672	0.5799999833106995	3.200000047683716	36.44499969482422	0.0
118.0	16.877700805664062	36.242698669433594	2.8499999046325684	0.05000000074505806	14.369999885559082	0.7900000214576721	4.849999904632568	36.244998931884766	0.0
160.0	14.563300132751465	35.90959930419922	2.75	0.03999999910593033	18.260000228881836	1.0399999618530273	7.210000038146973	35.9119987487793	0.0
242.0	11.938199996948242	35.50830078125	2.619999885559082	0.029999999329447746	23.40999984741211	1.3799999952316284	10.630000114440918	35.507999420166016	0.0
297.0	10.651100158691406	35.322601318359375	2.5799999237060547	0.029999999329447746	25.899999618530273	1.5499999523162842	12.800000190734863	35.31999969482422	0.0
348.0	9.843700408935547	35.21379852294922	2.5899999141693115	0.03999999910593033	27.450000762939453	1.659999966621399	14.520000457763672	35.2130012512207	0.0
696.0	6.025100231170654	34.90409851074219	3.359999895095825	0.029999999329447746	29.700000762939453	1.8700000047683716	24.1200008392334	34.90299987792969	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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