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Dataset Title:	"Deepwater CTD - d94j141.bdo.nc - 27.1N, -96.21W - 1994-11-11"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94j141_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) 1.0 18.0 44.0 54.0 67.0 79.0 104.0 130.0 159.0 235.0 348.0 441.0  m	12 options
temperature	= (ANY) 10.27560043334961 11.880800247192383 14.293600082397461 17.023300170898438 18.642799377441406 21.676000595092773 23.766300201416016 24.3533992767334 26.191099166870117 26.412700653076172 26.65369987487793 26.7012996673584  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.27909851074219 35.503501892089844 35.869300842285156 35.87590026855469 36.03990173339844 36.26810073852539 36.291099548339844 36.30149841308594 36.3588981628418 36.38410186767578 36.386199951171875 36.41490173339844  PSU	12 options
oxygen	= (ANY) 2.5899999141693115 2.619999885559082 2.7300000190734863 2.8399999141693115 2.880000114440918 4.179999828338623 4.610000133514404 4.619999885559082 4.639999866485596 4.949999809265137 5.110000133514404  milliliters per liter	11 options
nitrite	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.03999999910593033 0.05000000074505806 0.05999999865889549  micromols	7 options
nitrate	= (ANY) 0.029999999329447746 0.10000000149011612 0.15000000596046448 0.2800000011920929 0.6800000071525574 11.640000343322754 14.4399995803833 19.43000030517578 24.479999542236328 27.719999313354492  micromols	10 options
phosphate	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.07999999821186066 0.5899999737739563 0.7799999713897705 1.1100000143051147 1.409999966621399 1.6299999952316284  micromols	9 options
silicate	= (ANY) 0.3199999928474426 0.3499999940395355 0.47999998927116394 0.6100000143051147 1.0399999618530273 1.1699999570846558 1.3600000143051147 3.5399999618530273 4.510000228881836 7.239999771118164 10.59000015258789 13.680000305175781  micromols	12 options
salinity2	= (ANY) 35.27799987792969 35.494998931884766 35.862998962402344 35.952999114990234 36.04399871826172 36.25199890136719 36.27299880981445 36.30400085449219 36.35599899291992 36.380001068115234 36.38100051879883 36.4109992980957  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
1.0	26.191099166870117	35.87590026855469	4.619999885559082	0.009999999776482582	0.2800000011920929	0.019999999552965164	0.6100000143051147	35.952999114990234	0.0
18.0	26.412700653076172	36.03990173339844	4.619999885559082	0.009999999776482582	0.15000000596046448	0.009999999776482582	0.3199999928474426	36.04399871826172	0.0
44.0	26.7012996673584	36.291099548339844	4.610000133514404	0.0	0.15000000596046448	0.0	1.1699999570846558	36.27299880981445	0.0
54.0	26.65369987487793	36.30149841308594	4.639999866485596	0.0	0.10000000149011612	0.009999999776482582	1.0399999618530273	36.30400085449219	0.0
67.0	24.3533992767334	36.38410186767578	5.110000133514404	0.0	0.10000000149011612	0.009999999776482582	0.47999998927116394	36.38100051879883	0.0
79.0	23.766300201416016	36.386199951171875	4.949999809265137	0.019999999552965164	0.029999999329447746	0.009999999776482582	0.3499999940395355	36.380001068115234	0.0
104.0	21.676000595092773	36.3588981628418	4.179999828338623	0.05999999865889549	0.6800000071525574	0.07999999821186066	1.3600000143051147	36.35599899291992	0.0
130.0	18.642799377441406	36.41490173339844	2.8399999141693115	0.03999999910593033	11.640000343322754	0.5899999737739563	3.5399999618530273	36.4109992980957	0.0
159.0	17.023300170898438	36.26810073852539	2.880000114440918	0.03999999910593033	14.4399995803833	0.7799999713897705	4.510000228881836	36.25199890136719	0.0
235.0	14.293600082397461	35.869300842285156	2.7300000190734863	0.029999999329447746	19.43000030517578	1.1100000143051147	7.239999771118164	35.862998962402344	0.0
348.0	11.880800247192383	35.503501892089844	2.619999885559082	0.03999999910593033	24.479999542236328	1.409999966621399	10.59000015258789	35.494998931884766	0.0
441.0	10.27560043334961	35.27909851074219	2.5899999141693115	0.05000000074505806	27.719999313354492	1.6299999952316284	13.680000305175781	35.27799987792969	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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