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Dataset Title:	"Deepwater CTD - d93e135.bdo.nc - 27.81N, -95.06W - 1993-05-05"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93e135_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 5.0 15.0 23.0 38.0 77.0 96.0 117.0 138.0 166.0 198.0 260.0  m	12 options
temperature	= (ANY) 12.174699783325195 15.985600471496582 17.552499771118164 20.119600296020508 21.167400360107422 22.359600067138672 22.750699996948242 23.913299560546875 24.869800567626953 24.908000946044922 24.920000076293945 24.924400329589844  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.54790115356445 36.10810089111328 36.10860061645508 36.1088981628418 36.109500885009766 36.12329864501953 36.19620132446289 36.25790023803711 36.27009963989258 36.33539962768555 36.33789825439453 36.36149978637695  PSU	12 options
oxygen	= (ANY) 2.5999999046325684 2.8299999237060547 2.880000114440918 3.4700000286102295 4.070000171661377 4.710000038146973 4.820000171661377 4.829999923706055 4.909999847412109  milliliters per liter	9 options
nitrite	= (ANY) 0.029999999329447746 0.03999999910593033 0.07000000029802322 0.09000000357627869 0.11999999731779099 0.17000000178813934  micromols	6 options
nitrate	= (ANY) 0.12999999523162842 0.14000000059604645 0.17000000178813934 0.1899999976158142 0.2199999988079071 4.159999847412109 7.0 13.800000190734863 16.31999969482422 23.790000915527344  micromols	10 options
phosphate	= (ANY) 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.05000000074505806 0.23000000417232513 0.3799999952316284 0.7300000190734863 0.9100000262260437 1.4299999475479126  micromols	9 options
silicate	= (ANY) 2.3399999141693115 2.369999885559082 2.5299999713897705 2.809999942779541 2.9100000858306885 3.059999942779541 3.369999885559082 3.380000114440918 4.300000190734863 5.519999980926514 6.889999866485596 12.100000381469727  micromols	12 options
salinity2	= (ANY) 35.57400131225586 36.112998962402344 36.11600112915039 36.11800003051758 36.137001037597656 36.20399856567383 36.266998291015625 36.28300094604492 36.340999603271484 36.349998474121094 36.36399841308594  PSU	11 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
1.0	24.924400329589844	36.109500885009766	4.829999923706055	0.03999999910593033	0.1899999976158142	0.029999999329447746	3.380000114440918	36.112998962402344	0.0
5.0	24.920000076293945	36.1088981628418	4.820000171661377	0.03999999910593033	0.12999999523162842	0.029999999329447746	3.059999942779541	36.11600112915039	0.0
15.0	24.908000946044922	36.10860061645508	4.820000171661377	0.029999999329447746	0.17000000178813934	0.03999999910593033	2.9100000858306885	36.11800003051758	0.0
23.0	24.869800567626953	36.10810089111328	4.829999923706055	0.029999999329447746	0.17000000178813934	0.029999999329447746	2.809999942779541	36.11800003051758	0.0
38.0	23.913299560546875	36.19620132446289	4.909999847412109	0.03999999910593033	0.12999999523162842	0.019999999552965164	2.5299999713897705	36.20399856567383	0.0
77.0	22.750699996948242	36.25790023803711	4.909999847412109	0.029999999329447746	0.14000000059604645	0.029999999329447746	2.369999885559082	36.266998291015625	0.0
96.0	22.359600067138672	36.27009963989258	4.710000038146973	0.11999999731779099	0.2199999988079071	0.05000000074505806	2.3399999141693115	36.28300094604492	0.0
117.0	21.167400360107422	36.33789825439453	4.070000171661377	0.17000000178813934	4.159999847412109	0.23000000417232513	3.369999885559082	36.349998474121094	0.0
138.0	20.119600296020508	36.36149978637695	3.4700000286102295	0.09000000357627869	7.0	0.3799999952316284	4.300000190734863	36.36399841308594	0.0
166.0	17.552499771118164	36.33539962768555	2.880000114440918	0.03999999910593033	13.800000190734863	0.7300000190734863	5.519999980926514	36.340999603271484	0.0
198.0	15.985600471496582	36.12329864501953	2.8299999237060547	0.03999999910593033	16.31999969482422	0.9100000262260437	6.889999866485596	36.137001037597656	0.0
260.0	12.174699783325195	35.54790115356445	2.5999999046325684	0.07000000029802322	23.790000915527344	1.4299999475479126	12.100000381469727	35.57400131225586	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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