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Dataset Title:	"Deepwater CTD - d94i146.bdo.nc - 26.01N, -96.19W - 1994-00-06"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94i146_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 14.0 29.0 44.0 59.0 74.0 97.0 124.0 179.0 241.0 349.0 646.0  m	12 options
temperature	= (ANY) 6.7596001625061035 9.81410026550293 11.78380012512207 14.125300407409668 16.818599700927734 18.748300552368164 19.576200485229492 20.143999099731445 22.166099548339844 25.220600128173828 27.528900146484375 27.93429946899414  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 34.92390060424805 35.208900451660156 35.484901428222656 35.84130096435547 36.21179962158203 36.23830032348633 36.27939987182617 36.296199798583984 36.36240005493164 36.430198669433594 36.44620132446289 36.44770050048828  PSU	12 options
oxygen	= (ANY) 2.619999885559082 2.7200000286102295 2.75 2.7899999618530273 2.8399999141693115 3.0399999618530273 3.059999942779541 3.7100000381469727 4.769999980926514 4.869999885559082 4.880000114440918 5.150000095367432  milliliters per liter	12 options
nitrite	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.05999999865889549 0.1599999964237213 0.800000011920929  micromols	6 options
nitrate	= (ANY) 0.10000000149011612 0.14000000059604645 2.5799999237060547 8.84000015258789 12.329999923706055 15.4399995803833 20.510000228881836 24.799999237060547 28.309999465942383 30.729999542236328  micromols	10 options
phosphate	= (ANY) 0.009999999776482582 0.019999999552965164 0.15000000596046448 0.4099999964237213 0.5799999833106995 0.7699999809265137 1.100000023841858 1.3700000047683716 1.6299999952316284 1.8899999856948853  micromols	10 options
silicate	= (ANY) 0.47999998927116394 0.9599999785423279 1.059999942779541 1.149999976158142 1.4600000381469727 2.700000047683716 3.930000066757202 5.070000171661377 8.079999923706055 11.430000305175781 15.479999542236328 23.1200008392334  micromols	12 options
salinity2	= (ANY) 34.92100143432617 35.207000732421875 35.48500061035156 35.832000732421875 36.22600173950195 36.24100112915039 36.28200149536133 36.29100036621094 36.36199951171875 36.43000030517578 36.448001861572266 36.45000076293945  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	27.93429946899414	36.21179962158203	4.880000114440918	0.0	0.14000000059604645	0.019999999552965164	1.149999976158142	36.22600173950195	0.0
14.0	27.528900146484375	36.27939987182617	4.769999980926514	0.0	0.14000000059604645	0.009999999776482582	1.059999942779541	36.28200149536133	0.0
29.0	25.220600128173828	36.296199798583984	5.150000095367432	0.0	0.10000000149011612	0.019999999552965164	0.9599999785423279	36.29100036621094	0.0
44.0	22.166099548339844	36.36240005493164	4.869999885559082	0.0	0.10000000149011612	0.019999999552965164	0.47999998927116394	36.36199951171875	0.0
59.0	20.143999099731445	36.430198669433594	3.7100000381469727	0.800000011920929	2.5799999237060547	0.15000000596046448	1.4600000381469727	36.43000030517578	0.0
74.0	19.576200485229492	36.44770050048828	3.0399999618530273	0.1599999964237213	8.84000015258789	0.4099999964237213	2.700000047683716	36.448001861572266	0.0
97.0	18.748300552368164	36.44620132446289	2.7899999618530273	0.05999999865889549	12.329999923706055	0.5799999833106995	3.930000066757202	36.45000076293945	0.0
124.0	16.818599700927734	36.23830032348633	2.8399999141693115	0.019999999552965164	15.4399995803833	0.7699999809265137	5.070000171661377	36.24100112915039	0.0
179.0	14.125300407409668	35.84130096435547	2.7200000286102295	0.019999999552965164	20.510000228881836	1.100000023841858	8.079999923706055	35.832000732421875	0.0
241.0	11.78380012512207	35.484901428222656	2.619999885559082	0.009999999776482582	24.799999237060547	1.3700000047683716	11.430000305175781	35.48500061035156	0.0
349.0	9.81410026550293	35.208900451660156	2.75	0.009999999776482582	28.309999465942383	1.6299999952316284	15.479999542236328	35.207000732421875	0.0
646.0	6.7596001625061035	34.92390060424805	3.059999942779541	0.0	30.729999542236328	1.8899999856948853	23.1200008392334	34.92100143432617	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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