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Dataset Title:	"Deepwater CTD - d93e133.bdo.nc - 27.72N, -95.01W - 1993-05-05"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93e133_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 38.0 57.0 88.0 103.0 119.0 148.0 198.0 296.0 389.0 485.0  m	12 options
temperature	= (ANY) 9.173500061035156 10.50100040435791 13.245499610900879 16.342599868774414 20.13360023498535 22.03969955444336 22.214799880981445 22.736000061035156 23.650100708007812 23.92099952697754 24.482799530029297 24.48579978942871  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.12799835205078 35.29949951171875 35.70289993286133 36.18090057373047 36.26860046386719 36.280399322509766 36.29309844970703 36.31019973754883 36.31959915161133 36.31990051269531 36.343101501464844 36.6078987121582  PSU	12 options
oxygen	= (ANY) 2.549999952316284 2.6600000858306885 2.9200000762939453 3.200000047683716 4.420000076293945 4.730000019073486 4.789999961853027 4.809999942779541 4.849999904632568 4.889999866485596 4.900000095367432  milliliters per liter	11 options
nitrite	= (ANY) 0.029999999329447746 0.03999999910593033 0.05000000074505806 0.05999999865889549 0.07000000029802322 0.12999999523162842  micromols	6 options
nitrate	= (ANY) 0.23000000417232513 0.25999999046325684 0.27000001072883606 0.30000001192092896 0.6399999856948853 1.659999966621399 8.5 15.479999542236328 21.860000610351562 27.579999923706055 29.649999618530273  micromols	11 options
phosphate	= (ANY) 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.05999999865889549 0.10999999940395355 0.8399999737739563 0.8500000238418579 1.2799999713897705 1.659999966621399 1.8300000429153442  micromols	10 options
silicate	= (ANY) 2.130000114440918 2.1500000953674316 2.1600000858306885 2.1700000762939453 2.240000009536743 2.3299999237060547 3.25 5.920000076293945 10.010000228881836 15.300000190734863 18.43000030517578  micromols	11 options
salinity2	= (ANY) 35.1349983215332 35.305999755859375 35.70800018310547 36.191001892089844 36.2760009765625 36.28099822998047 36.30400085449219 36.3120002746582 36.32699966430664 36.327999114990234 36.35900115966797 36.606998443603516  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
0.0	24.48579978942871	36.31019973754883	4.789999961853027	0.05000000074505806	0.27000001072883606	0.05999999865889549	2.3299999237060547	36.327999114990234	0.0
18.0	24.482799530029297	36.31959915161133	4.809999942779541	0.05000000074505806	0.30000001192092896	0.03999999910593033	2.1700000762939453	36.32699966430664	0.0
38.0	23.92099952697754	36.29309844970703	4.849999904632568	0.05000000074505806	0.27000001072883606	0.03999999910593033	2.1600000858306885	36.30400085449219	0.0
57.0	23.650100708007812	36.31990051269531	4.900000095367432	0.05999999865889549	0.23000000417232513	0.03999999910593033	2.130000114440918	36.3120002746582	0.0
88.0	22.736000061035156	36.26860046386719	4.889999866485596	0.05999999865889549	0.25999999046325684	0.019999999552965164	2.1500000953674316	36.2760009765625	0.0
103.0	22.214799880981445	36.280399322509766	4.730000019073486	0.12999999523162842	0.6399999856948853	0.029999999329447746	2.240000009536743	36.28099822998047	0.0
119.0	22.03969955444336	36.343101501464844	4.420000076293945	0.07000000029802322	1.659999966621399	0.10999999940395355	2.1700000762939453	36.35900115966797	0.0
148.0	20.13360023498535	36.6078987121582	3.200000047683716	0.03999999910593033	8.5	0.8399999737739563	3.25	36.606998443603516	0.0
198.0	16.342599868774414	36.18090057373047	2.9200000762939453	0.029999999329447746	15.479999542236328	0.8500000238418579	5.920000076293945	36.191001892089844	0.0
296.0	13.245499610900879	35.70289993286133	2.6600000858306885	0.029999999329447746	21.860000610351562	1.2799999713897705	10.010000228881836	35.70800018310547	0.0
389.0	10.50100040435791	35.29949951171875	2.549999952316284	0.029999999329447746	27.579999923706055	1.659999966621399	15.300000190734863	35.305999755859375	1.0
485.0	9.173500061035156	35.12799835205078	2.549999952316284	0.029999999329447746	29.649999618530273	1.8300000429153442	18.43000030517578	35.1349983215332	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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