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Dataset Title:	"Deepwater CTD - d93e151.bdo.nc - 27.52N, -95.79W - 1993-05-06"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93e151_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 3.0 7.0 13.0 21.0 43.0 63.0 78.0 108.0 147.0 248.0 495.0  m	12 options
temperature	= (ANY) 7.946899890899658 10.730799674987793 16.880599975585938 19.50790023803711 21.755399703979492 22.682100296020508 23.458599090576172 23.523300170898438 23.850500106811523 23.879100799560547 23.8882999420166 24.613100051879883  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 33.67129898071289 33.67150115966797 33.67399978637695 34.77190017700195 34.99549865722656 35.33919906616211 36.05730056762695 36.13880157470703 36.21099853515625 36.21289825439453 36.25790023803711 36.373600006103516  PSU	12 options
oxygen	= (ANY) 2.5799999237060547 2.7799999713897705 3.0799999237060547 3.309999942779541 4.059999942779541 4.860000133514404 4.889999866485596 4.909999847412109 4.929999828338623 4.940000057220459 4.949999809265137 4.96999979019165  milliliters per liter	12 options
nitrite	= (ANY) 0.03999999910593033 0.05000000074505806 0.05999999865889549 0.07999999821186066 0.10999999940395355 0.4000000059604645  micromols	6 options
nitrate	= (ANY) 0.18000000715255737 0.20000000298023224 0.20999999344348907 0.3100000023841858 2.9600000381469727 9.510000228881836 14.84000015258789 26.25 26.670000076293945  micromols	9 options
phosphate	= (ANY) 0.03999999910593033 0.05000000074505806 0.07000000029802322 0.09000000357627869 0.23000000417232513 0.550000011920929 0.8600000143051147 1.6399999856948853 1.7300000190734863  micromols	9 options
silicate	= (ANY) 1.9800000190734863 2.2200000286102295 2.8299999237060547 3.0 3.2200000286102295 3.369999885559082 3.619999885559082 3.7300000190734863 5.440000057220459 6.849999904632568 15.210000038146973 18.93000030517578  micromols	12 options
salinity2	= (ANY) 33.680999755859375 33.691001892089844 33.744998931884766 35.05699920654297 35.292999267578125 35.3489990234375 36.03499984741211 36.167999267578125 36.224998474121094 36.24399948120117 36.277000427246094 36.382999420166016  PSU	12 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	23.879100799560547	33.67150115966797	4.909999847412109	0.03999999910593033	0.3100000023841858	0.09000000357627869	3.7300000190734863	33.680999755859375	0.0
3.0	23.8882999420166	33.67129898071289	4.96999979019165	0.03999999910593033	0.3100000023841858	0.07000000029802322	3.369999885559082	33.691001892089844	0.0
7.0	23.850500106811523	33.67399978637695	4.940000057220459	0.03999999910593033	0.20999999344348907	0.03999999910593033	3.2200000286102295	33.744998931884766	0.0
13.0	23.458599090576172	34.77190017700195	4.929999828338623	0.03999999910593033	0.20999999344348907	0.03999999910593033	2.8299999237060547	35.292999267578125	0.0
21.0	24.613100051879883	36.05730056762695	4.860000133514404	0.03999999910593033	0.20000000298023224	0.05000000074505806	2.2200000286102295	36.03499984741211	0.0
43.0	23.523300170898438	36.13880157470703	4.949999809265137	0.05000000074505806	0.20000000298023224	0.05000000074505806	1.9800000190734863	36.167999267578125	0.0
63.0	22.682100296020508	36.21099853515625	4.889999866485596	0.07999999821186066	0.18000000715255737	0.09000000357627869	3.0	36.24399948120117	0.0
78.0	21.755399703979492	36.25790023803711	4.059999942779541	0.4000000059604645	2.9600000381469727	0.23000000417232513	3.619999885559082	36.277000427246094	0.0
108.0	19.50790023803711	36.373600006103516	3.0799999237060547	0.10999999940395355	9.510000228881836	0.550000011920929	5.440000057220459	36.382999420166016	0.0
147.0	16.880599975585938	36.21289825439453	2.7799999713897705	0.07999999821186066	14.84000015258789	0.8600000143051147	6.849999904632568	36.224998474121094	0.0
248.0	10.730799674987793	35.33919906616211	2.5799999237060547	0.05999999865889549	26.25	1.6399999856948853	15.210000038146973	35.3489990234375	1.0
495.0	7.946899890899658	34.99549865722656	3.309999942779541	0.05000000074505806	26.670000076293945	1.7300000190734863	18.93000030517578	35.05699920654297	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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