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Dataset Title:	"Deepwater CTD - d92a053.bdo.nc - 27.97N, -91.33W - 1992-05-04"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d92a053_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) 3.0 9.0 24.0 48.0 78.0 88.0 98.0 118.0 148.0 177.0 242.0  m	11 options
temperature	= (ANY) -9.0 12.292799949645996 15.006600379943848 16.777299880981445 18.253000259399414 19.872699737548828 20.171199798583984 20.46769905090332 20.975799560546875 22.610599517822266 22.87179946899414 23.03059959411621  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) -9.0 35.5609016418457 35.76470184326172 35.816898345947266 35.97869873046875 36.09000015258789 36.22669982910156 36.23360061645508 36.24330139160156 36.25450134277344 36.35430145263672 36.38869857788086  PSU	12 options
oxygen	= (ANY) 2.690000057220459 2.7300000190734863 2.859999895095825 2.9100000858306885 2.990000009536743 3.9000000953674316 4.880000114440918 5.0 5.039999961853027 5.059999942779541 5.170000076293945  milliliters per liter	11 options
nitrite	= (ANY) 0.029999999329447746 0.03999999910593033 0.07000000029802322 0.07999999821186066 0.09000000357627869 0.10000000149011612 0.12999999523162842 0.1899999976158142  micromols	8 options
nitrate	= (ANY) 0.3400000035762787 0.3499999940395355 0.36000001430511475 0.41999998688697815 1.0299999713897705 5.53000020980835 12.170000076293945 14.850000381469727 17.920000076293945 23.149999618530273 23.200000762939453  micromols	11 options
phosphate	= (ANY) 0.009999999776482582 0.019999999552965164 0.05999999865889549 0.27000001072883606 0.6399999856948853 0.8600000143051147 1.0399999618530273 1.3899999856948853  micromols	8 options
silicate	= (ANY) 0.30000001192092896 0.3199999928474426 0.5 0.6600000262260437 1.1299999952316284 1.149999976158142 1.5499999523162842 3.759999990463257 5.429999828338623 7.139999866485596 11.029999732971191 11.770000457763672  micromols	12 options
salinity2	= (ANY) 35.5620002746582 35.57600021362305 35.805999755859375 35.86199951171875 35.9739990234375 36.117000579833984 36.22700119018555 36.233001708984375 36.25199890136719 36.255001068115234 36.36600112915039 36.39500045776367  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
3.0	23.03059959411621	35.76470184326172	5.0	0.029999999329447746	0.3400000035762787	0.019999999552965164	1.149999976158142	35.805999755859375	0.0
9.0	22.87179946899414	35.816898345947266	5.0	0.029999999329447746	0.41999998688697815	0.019999999552965164	1.1299999952316284	35.86199951171875	0.0
24.0	22.610599517822266	36.09000015258789	5.059999942779541	0.029999999329447746	0.3499999940395355	0.019999999552965164	0.6600000262260437	36.117000579833984	0.0
48.0	20.975799560546875	36.22669982910156	5.170000076293945	0.03999999910593033	0.36000001430511475	0.019999999552965164	0.3199999928474426	36.233001708984375	0.0
78.0	20.46769905090332	36.25450134277344	5.039999961853027	0.03999999910593033	0.36000001430511475	0.009999999776482582	0.30000001192092896	36.25199890136719	0.0
88.0	20.171199798583984	36.24330139160156	4.880000114440918	0.12999999523162842	1.0299999713897705	0.05999999865889549	0.5	36.255001068115234	0.0
98.0	19.872699737548828	36.35430145263672	3.9000000953674316	0.1899999976158142	5.53000020980835	0.27000001072883606	1.5499999523162842	36.36600112915039	0.0
118.0	18.253000259399414	36.38869857788086	2.990000009536743	0.10000000149011612	12.170000076293945	0.6399999856948853	3.759999990463257	36.39500045776367	0.0
148.0	16.777299880981445	36.23360061645508	2.9100000858306885	0.07999999821186066	14.850000381469727	0.8600000143051147	5.429999828338623	36.22700119018555	0.0
177.0	15.006600379943848	35.97869873046875	2.859999895095825	0.07000000029802322	17.920000076293945	1.0399999618530273	7.139999866485596	35.9739990234375	0.0
242.0	-9.0	-9.0	2.7300000190734863	0.09000000357627869	23.149999618530273	1.3899999856948853	11.770000457763672	35.5620002746582	0.0
242.0	12.292799949645996	35.5609016418457	2.690000057220459	0.07999999821186066	23.200000762939453	1.3899999856948853	11.029999732971191	35.57600021362305	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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