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Dataset Title:	"Deepwater CTD - d94h146.bdo.nc - 26.01N, -96.19W - 1994-05-05"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94h146_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) 2.0 19.0 35.0 51.0 73.0 94.0 121.0 157.0 234.0 372.0 442.0 643.0  m	12 options
temperature	= (ANY) 6.517099857330322 9.865400314331055 10.875 14.27400016784668 17.04129981994629 18.605199813842773 19.13330078125 20.74370002746582 22.41189956665039 23.593900680541992 23.832000732421875 25.242000579833984  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 32.92490005493164 34.90950012207031 35.21549987792969 35.35409927368164 35.86000061035156 36.17129898071289 36.24129867553711 36.257301330566406 36.338600158691406 36.3754997253418 36.407901763916016 36.4370002746582  PSU	12 options
oxygen	= (ANY) 2.5399999618530273 2.569999933242798 2.740000009536743 2.859999895095825 3.0799999237060547 3.299999952316284 3.680000066757202 4.409999847412109 4.510000228881836 4.880000114440918 4.900000095367432  milliliters per liter	11 options
nitrite	= (ANY) 0.019999999552965164 0.03999999910593033 0.07000000029802322 0.07999999821186066 0.12999999523162842  micromols	5 options
nitrate	= (ANY) 0.20000000298023224 0.20999999344348907 0.2199999988079071 2.0 3.490000009536743 5.760000228881836 9.710000038146973 14.220000267028809 19.559999465942383 23.950000762939453 27.959999084472656 30.329999923706055  micromols	12 options
phosphate	= (ANY) 0.019999999552965164 0.05999999865889549 0.10000000149011612 0.17000000178813934 0.2800000011920929 0.5099999904632568 0.75 1.1100000143051147 1.600000023841858 1.7400000095367432 2.0  micromols	11 options
silicate	= (ANY) 0.800000011920929 0.8199999928474426 1.0099999904632568 1.2799999713897705 1.7999999523162842 2.3399999141693115 3.8399999141693115 5.199999809265137 8.069999694824219 13.430000305175781 15.920000076293945 23.670000076293945  micromols	12 options
salinity2	= (ANY) 33.005001068115234 34.91299819946289 35.21799850463867 35.36000061035156 35.8650016784668 36.18600082397461 36.25600051879883 36.2760009765625 36.347999572753906 36.388999938964844 36.41899871826172 36.435001373291016  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
2.0	25.242000579833984	32.92490005493164	4.880000114440918	0.019999999552965164	0.20000000298023224	0.05999999865889549	0.800000011920929	33.005001068115234	0.0
19.0	23.832000732421875	36.24129867553711	4.900000095367432	0.03999999910593033	0.20999999344348907	0.019999999552965164	1.0099999904632568	36.25600051879883	0.0
35.0	23.593900680541992	36.3754997253418	4.900000095367432	0.07000000029802322	0.2199999988079071	0.019999999552965164	0.8199999928474426	36.388999938964844	0.0
51.0	22.41189956665039	36.407901763916016	4.409999847412109	0.12999999523162842	2.0	0.10000000149011612	1.2799999713897705	36.41899871826172	0.0
73.0	20.74370002746582	36.4370002746582	3.680000066757202	0.07999999821186066	5.760000228881836	0.2800000011920929	2.3399999141693115	36.435001373291016	0.0
94.0	19.13330078125	36.17129898071289	4.510000228881836	0.07999999821186066	3.490000009536743	0.17000000178813934	1.7999999523162842	36.18600082397461	0.0
121.0	18.605199813842773	36.338600158691406	3.299999952316284	0.07999999821186066	9.710000038146973	0.5099999904632568	3.8399999141693115	36.347999572753906	0.0
157.0	17.04129981994629	36.257301330566406	2.859999895095825	0.07999999821186066	14.220000267028809	0.75	5.199999809265137	36.2760009765625	0.0
234.0	14.27400016784668	35.86000061035156	2.740000009536743	0.07000000029802322	19.559999465942383	1.1100000143051147	8.069999694824219	35.8650016784668	0.0
372.0	10.875	35.35409927368164	2.569999933242798	0.07000000029802322	23.950000762939453	1.600000023841858	13.430000305175781	35.36000061035156	1.0
442.0	9.865400314331055	35.21549987792969	2.5399999618530273	0.07000000029802322	27.959999084472656	1.7400000095367432	15.920000076293945	35.21799850463867	0.0
643.0	6.517099857330322	34.90950012207031	3.0799999237060547	0.07000000029802322	30.329999923706055	2.0	23.670000076293945	34.91299819946289	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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