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Dataset Title:	"Deepwater CTD - d94h161.bdo.nc - 27.28N, -96.25W - 1994-05-06"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94h161_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 15.0 25.0 34.0 42.0 49.0 64.0 79.0 99.0 118.0 134.0 199.0  m	12 options
temperature	= (ANY) 15.762499809265137 16.880800247192383 17.74489974975586 18.86680030822754 19.624500274658203 20.058500289916992 20.55820083618164 20.738000869750977 21.41860008239746 22.28350067138672 22.67099952697754 24.460500717163086  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 33.11750030517578 35.329498291015625 36.00809860229492 36.059600830078125 36.0906982421875 36.09619903564453 36.0994987487793 36.20669937133789 36.238800048828125 36.297401428222656 36.347900390625 36.45439910888672  PSU	12 options
oxygen	= (ANY) 2.819999933242798 2.8499999046325684 2.940000057220459 2.9800000190734863 3.9700000286102295 4.380000114440918 4.519999980926514 4.550000190734863 4.760000228881836 4.800000190734863 4.960000038146973 5.079999923706055  milliliters per liter	12 options
nitrite	= (ANY) 0.009999999776482582 0.03999999910593033 0.05000000074505806 0.09000000357627869 0.10999999940395355 0.1599999964237213 0.2199999988079071  micromols	7 options
nitrate	= (ANY) 0.12999999523162842 0.15000000596046448 1.2699999809265137 1.3899999856948853 1.8899999856948853 2.759999990463257 5.849999904632568 11.430000305175781 13.369999885559082 15.0600004196167 17.219999313354492  micromols	11 options
phosphate	= (ANY) 0.03999999910593033 0.09000000357627869 0.10000000149011612 0.11999999731779099 0.15000000596046448 0.28999999165534973 0.6100000143051147 0.7099999785423279 0.8199999928474426 0.949999988079071  micromols	10 options
silicate	= (ANY) 2.9100000858306885 3.2699999809265137 3.690000057220459 3.7799999713897705 3.869999885559082 4.0 4.03000020980835 5.389999866485596 6.920000076293945 7.730000019073486 8.510000228881836 9.680000305175781  micromols	12 options
salinity2	= (ANY) 33.125999450683594 35.23899841308594 36.0260009765625 36.05400085449219 36.09400177001953 36.10499954223633 36.12900161743164 36.21500015258789 36.24100112915039 36.32500076293945 36.3489990234375 36.457000732421875  PSU	12 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
1.0	24.460500717163086	33.11750030517578	4.960000038146973	0.009999999776482582	0.15000000596046448	0.03999999910593033	2.9100000858306885	33.125999450683594	0.0
15.0	22.67099952697754	35.329498291015625	5.079999923706055	0.009999999776482582	0.12999999523162842	0.03999999910593033	3.2699999809265137	35.23899841308594	0.0
25.0	22.28350067138672	36.0994987487793	4.800000190734863	0.009999999776482582	0.15000000596046448	0.03999999910593033	3.869999885559082	36.12900161743164	0.0
34.0	21.41860008239746	36.059600830078125	4.550000190734863	0.2199999988079071	1.2699999809265137	0.10000000149011612	4.0	36.05400085449219	0.0
42.0	20.738000869750977	36.00809860229492	4.519999980926514	0.1599999964237213	1.8899999856948853	0.11999999731779099	3.7799999713897705	36.0260009765625	0.0
49.0	20.55820083618164	36.09619903564453	4.380000114440918	0.10999999940395355	2.759999990463257	0.15000000596046448	4.03000020980835	36.10499954223633	0.0
64.0	20.058500289916992	36.20669937133789	4.760000228881836	0.2199999988079071	1.3899999856948853	0.09000000357627869	3.690000057220459	36.21500015258789	0.0
79.0	19.624500274658203	36.297401428222656	3.9700000286102295	0.09000000357627869	5.849999904632568	0.28999999165534973	5.389999866485596	36.32500076293945	0.0
99.0	18.86680030822754	36.45439910888672	2.9800000190734863	0.05000000074505806	11.430000305175781	0.6100000143051147	6.920000076293945	36.457000732421875	0.0
118.0	17.74489974975586	36.347900390625	2.940000057220459	0.03999999910593033	13.369999885559082	0.7099999785423279	7.730000019073486	36.3489990234375	0.0
134.0	16.880800247192383	36.238800048828125	2.8499999046325684	0.03999999910593033	15.0600004196167	0.8199999928474426	8.510000228881836	36.24100112915039	0.0
199.0	15.762499809265137	36.0906982421875	2.819999933242798	0.05000000074505806	17.219999313354492	0.949999988079071	9.680000305175781	36.09400177001953	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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