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Dataset Title:	"Deepwater CTD - d93e167.bdo.nc - 27.13N, -96.34W - 1993-05-07"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93e167_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 8.0 18.0 28.0 39.0 42.0 48.0 58.0 78.0 98.0 148.0 219.0  m	12 options
temperature	= (ANY) 13.236800193786621 15.33489990234375 16.64349937438965 18.606000900268555 20.845500946044922 21.924299240112305 22.58650016784668 23.05769920349121 23.687400817871094 23.70870018005371 23.937599182128906 23.94230079650879  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 34.25149917602539 34.25299835205078 35.65950012207031 35.70750045776367 35.960201263427734 36.019500732421875 36.02479934692383 36.06990051269531 36.18769836425781 36.21049880981445 36.32509994506836 36.375  PSU	12 options
oxygen	= (ANY) 2.6500000953674316 2.8299999237060547 2.930000066757202 3.5899999141693115 4.179999828338623 4.460000038146973 4.730000019073486 4.75 4.809999942779541 4.909999847412109  milliliters per liter	10 options
nitrite	= (ANY) 0.03999999910593033 0.05999999865889549 0.07999999821186066 0.10999999940395355 0.12999999523162842 0.14000000059604645 0.33000001311302185 0.36000001430511475  micromols	8 options
nitrate	= (ANY) 0.07000000029802322 0.10000000149011612 0.11999999731779099 0.12999999523162842 0.17000000178813934 0.5299999713897705 2.1600000858306885 5.980000019073486 11.989999771118164 15.170000076293945 17.3799991607666 20.81999969482422  micromols	12 options
phosphate	= (ANY) 0.029999999329447746 0.03999999910593033 0.05000000074505806 0.07000000029802322 0.17000000178813934 0.3400000035762787 0.6700000166893005 0.8799999952316284 1.0199999809265137 1.3200000524520874  micromols	10 options
silicate	= (ANY) 2.450000047683716 2.509999990463257 2.700000047683716 2.7899999618530273 3.0299999713897705 3.690000057220459 3.9200000762939453 4.010000228881836 5.420000076293945 6.510000228881836 7.579999923706055 10.1899995803833  micromols	12 options
salinity2	= (ANY) 34.27000045776367 34.45800018310547 35.74100112915039 35.74300003051758 35.970001220703125 35.9900016784668 36.02199935913086 36.05699920654297 36.20399856567383 36.24100112915039 36.34600067138672 36.362998962402344  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	23.94230079650879	34.25299835205078	4.909999847412109	0.05999999865889549	0.10000000149011612	0.029999999329447746	3.9200000762939453	34.27000045776367	0.0
8.0	23.937599182128906	34.25149917602539	4.909999847412109	0.03999999910593033	0.12999999523162842	0.03999999910593033	3.690000057220459	34.45800018310547	0.0
18.0	23.70870018005371	35.65950012207031	4.809999942779541	0.03999999910593033	0.17000000178813934	0.05000000074505806	3.0299999713897705	35.74100112915039	0.0
28.0	23.687400817871094	35.960201263427734	4.75	0.05999999865889549	0.11999999731779099	0.03999999910593033	2.450000047683716	35.970001220703125	0.0
39.0	23.05769920349121	36.019500732421875	4.730000019073486	0.05999999865889549	0.07000000029802322	0.03999999910593033	2.509999990463257	35.9900016784668	0.0
42.0	22.58650016784668	36.06990051269531	4.460000038146973	0.33000001311302185	0.5299999713897705	0.07000000029802322	2.700000047683716	36.05699920654297	0.0
48.0	21.924299240112305	36.18769836425781	4.179999828338623	0.36000001430511475	2.1600000858306885	0.17000000178813934	2.7899999618530273	36.24100112915039	0.0
58.0	20.845500946044922	36.32509994506836	3.5899999141693115	0.12999999523162842	5.980000019073486	0.3400000035762787	4.010000228881836	36.34600067138672	0.0
78.0	18.606000900268555	36.375	2.930000066757202	0.07999999821186066	11.989999771118164	0.6700000166893005	5.420000076293945	36.362998962402344	0.0
98.0	16.64349937438965	36.21049880981445	2.8299999237060547	0.07999999821186066	15.170000076293945	0.8799999952316284	6.510000228881836	36.20399856567383	0.0
148.0	15.33489990234375	36.02479934692383	2.8299999237060547	0.10999999940395355	17.3799991607666	1.0199999809265137	7.579999923706055	36.02199935913086	0.0
219.0	13.236800193786621	35.70750045776367	2.6500000953674316	0.14000000059604645	20.81999969482422	1.3200000524520874	10.1899995803833	35.74300003051758	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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