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Dataset Title:	"Deepwater CTD - d93g222.bdo.nc - 26.14N, -96.33W - 1993-11-20"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93g222_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 11.0 20.0 31.0 40.0 48.0 58.0 68.0 85.0 98.0 147.0 214.0  m	12 options
temperature	= (ANY) 14.611100196838379 17.411399841308594 19.305999755859375 19.491300582885742 23.357799530029297 24.08639907836914 24.095800399780273 24.136600494384766 24.27400016784668 24.285200119018555 24.29290008544922  degree_C (potential temperature from ctd)	11 options
salinity	= (ANY) 35.74800109863281 35.7494010925293 35.7505989074707 35.79399871826172 35.91600036621094 35.994300842285156 36.02619934082031 36.162601470947266 36.22330093383789 36.29859924316406 36.39950180053711 36.40019989013672  PSU	12 options
oxygen	= (ANY) 2.680000066757202 2.7300000190734863 2.7899999618530273 2.880000114440918 4.170000076293945 4.559999942779541 4.75 4.78000020980835 4.809999942779541 4.820000171661377 4.880000114440918  milliliters per liter	11 options
nitrite	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.07000000029802322 0.09000000357627869 0.10999999940395355  micromols	6 options
nitrate	= (ANY) 0.07000000029802322 0.09000000357627869 0.10999999940395355 0.12999999523162842 0.17000000178813934 0.18000000715255737 0.5699999928474426 1.7999999523162842 10.100000381469727 10.770000457763672 13.869999885559082 17.940000534057617  micromols	12 options
phosphate	= (ANY) 0.009999999776482582 0.019999999552965164 0.03999999910593033 0.12999999523162842 0.6000000238418579 0.6299999952316284 0.7699999809265137 1.0199999809265137  micromols	8 options
silicate	= (ANY) 2.2699999809265137 2.4000000953674316 2.450000047683716 2.5299999713897705 2.5399999618530273 2.8399999141693115 3.7799999713897705 5.909999847412109 6.300000190734863 6.349999904632568 7.650000095367432  micromols	11 options
salinity2	= (ANY) 35.74700164794922 35.75 35.750999450683594 35.78300094604492 35.91600036621094 35.981998443603516 36.03200149536133 36.17399978637695 36.229000091552734 36.29899978637695 36.402000427246094  PSU	11 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	24.08639907836914	35.7494010925293	4.880000114440918	0.0	0.12999999523162842	0.019999999552965164	2.8399999141693115	35.750999450683594	0.0
11.0	24.095800399780273	35.7505989074707	4.809999942779541	0.009999999776482582	0.18000000715255737	0.009999999776482582	2.5399999618530273	35.75	0.0
20.0	24.08639907836914	35.74800109863281	4.820000171661377	0.009999999776482582	0.10999999940395355	0.019999999552965164	2.4000000953674316	35.74700164794922	0.0
31.0	24.136600494384766	35.79399871826172	4.809999942779541	0.009999999776482582	0.09000000357627869	0.019999999552965164	2.450000047683716	35.78300094604492	0.0
40.0	24.29290008544922	35.994300842285156	4.78000020980835	0.0	0.07000000029802322	0.019999999552965164	2.2699999809265137	35.981998443603516	0.0
48.0	24.285200119018555	36.02619934082031	4.75	0.07000000029802322	0.17000000178813934	0.019999999552965164	2.4000000953674316	36.03200149536133	0.0
58.0	24.27400016784668	36.162601470947266	4.559999942779541	0.10999999940395355	0.5699999928474426	0.03999999910593033	2.5299999713897705	36.17399978637695	0.0
68.0	23.357799530029297	36.22330093383789	4.170000076293945	0.09000000357627869	1.7999999523162842	0.12999999523162842	3.7799999713897705	36.229000091552734	0.0
85.0	19.491300582885742	36.39950180053711	2.680000066757202	0.019999999552965164	10.100000381469727	0.6000000238418579	6.349999904632568	36.402000427246094	0.0
98.0	19.305999755859375	36.40019989013672	2.7300000190734863	0.019999999552965164	10.770000457763672	0.6299999952316284	6.300000190734863	36.402000427246094	0.0
147.0	17.411399841308594	36.29859924316406	2.7899999618530273	0.019999999552965164	13.869999885559082	0.7699999809265137	5.909999847412109	36.29899978637695	0.0
214.0	14.611100196838379	35.91600036621094	2.880000114440918	0.009999999776482582	17.940000534057617	1.0199999809265137	7.650000095367432	35.91600036621094	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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