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Dataset Title:	"Deepwater CTD - d94h141.bdo.nc - 27.1N, -96.21W - 1994-05-04"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94h141_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 28.0 39.0 44.0 57.0 67.0 96.0 140.0 187.0 297.0 368.0 434.0  m	12 options
temperature	= (ANY) 9.36400032043457 10.664299964904785 11.919400215148926 14.214699745178223 16.880599975585938 18.87350082397461 20.057600021362305 20.964799880981445 21.78890037536621 21.827299118041992 22.757699966430664 24.8218994140625  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 32.90829849243164 35.147499084472656 35.31679916381836 35.49359893798828 35.663700103759766 35.84960174560547 36.07469940185547 36.19490051269531 36.23970031738281 36.347900390625 36.417999267578125 36.45949935913086  PSU	12 options
oxygen	= (ANY) 2.5799999237060547 2.630000114440918 2.7200000286102295 2.759999990463257 2.880000114440918 2.940000057220459 3.4200000762939453 3.869999885559082 4.619999885559082 4.829999923706055 4.940000057220459 4.989999771118164  milliliters per liter	12 options
nitrite	= (ANY) 0.0 0.009999999776482582 0.019999999552965164 0.05000000074505806 0.05999999865889549 0.10999999940395355 0.11999999731779099 0.2199999988079071  micromols	8 options
nitrate	= (ANY) 0.009999999776482582 0.10000000149011612 0.12999999523162842 0.7699999809265137 4.570000171661377 7.769999980926514 11.289999961853027 14.829999923706055 19.510000228881836 24.0 26.56999969482422 28.56999969482422  micromols	12 options
phosphate	= (ANY) 0.009999999776482582 0.03999999910593033 0.05000000074505806 0.23999999463558197 0.41999998688697815 0.6200000047683716 0.8399999737739563 1.1699999570846558 1.4800000190734863 1.6699999570846558 1.850000023841858  micromols	11 options
silicate	= (ANY) 1.309999942779541 2.2899999618530273 2.7200000286102295 3.0299999713897705 3.940000057220459 4.519999980926514 5.199999809265137 6.460000038146973 9.260000228881836 12.510000228881836 15.25 17.969999313354492  micromols	12 options
salinity2	= (ANY) 33.05699920654297 35.15800094604492 35.323001861572266 35.5 35.69300079345703 35.86399841308594 36.12900161743164 36.21500015258789 36.25 36.349998474121094 36.417999267578125 36.4630012512207  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	24.8218994140625	32.90829849243164	4.940000057220459	0.0	0.10000000149011612	0.009999999776482582	1.309999942779541	33.05699920654297	0.0
28.0	22.757699966430664	35.663700103759766	4.989999771118164	0.0	0.009999999776482582	0.009999999776482582	2.2899999618530273	35.69300079345703	0.0
39.0	21.827299118041992	36.07469940185547	4.829999923706055	0.05999999865889549	0.12999999523162842	0.03999999910593033	2.7200000286102295	36.12900161743164	0.0
44.0	21.78890037536621	36.19490051269531	4.619999885559082	0.11999999731779099	0.7699999809265137	0.05000000074505806	3.0299999713897705	36.21500015258789	0.0
57.0	20.964799880981445	36.347900390625	3.869999885559082	0.2199999988079071	4.570000171661377	0.23999999463558197	3.940000057220459	36.349998474121094	0.0
67.0	20.057600021362305	36.417999267578125	3.4200000762939453	0.10999999940395355	7.769999980926514	0.41999998688697815	4.519999980926514	36.417999267578125	0.0
96.0	18.87350082397461	36.45949935913086	2.940000057220459	0.05000000074505806	11.289999961853027	0.6200000047683716	5.199999809265137	36.4630012512207	0.0
140.0	16.880599975585938	36.23970031738281	2.880000114440918	0.019999999552965164	14.829999923706055	0.8399999737739563	6.460000038146973	36.25	0.0
187.0	14.214699745178223	35.84960174560547	2.759999990463257	0.009999999776482582	19.510000228881836	1.1699999570846558	9.260000228881836	35.86399841308594	1.0
297.0	11.919400215148926	35.49359893798828	2.7200000286102295	0.009999999776482582	24.0	1.4800000190734863	12.510000228881836	35.5	0.0
368.0	10.664299964904785	35.31679916381836	2.630000114440918	0.0	26.56999969482422	1.6699999570846558	15.25	35.323001861572266	0.0
434.0	9.36400032043457	35.147499084472656	2.5799999237060547	0.0	28.56999969482422	1.850000023841858	17.969999313354492	35.15800094604492	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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