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Dataset Title:	"Deepwater CTD - d94j163.bdo.nc - 27.54N, -95.91W - 1994-11-13"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94j163_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 19.0 45.0 49.0 54.0 65.0 76.0 81.0 92.0 122.0 217.0 260.0  m	12 options
temperature	= (ANY) 13.857099533081055 14.394800186157227 16.889999389648438 18.59980010986328 19.70359992980957 20.580699920654297 21.958200454711914 23.955900192260742 24.491199493408203 25.423900604248047 25.921499252319336 25.950700759887695  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 35.47669982910156 35.48820114135742 35.804901123046875 35.887699127197266 36.24760055541992 36.29859924316406 36.330299377441406 36.35649871826172 36.356998443603516 36.374298095703125 36.40290069580078 36.41960144042969  PSU	12 options
oxygen	= (ANY) 2.7300000190734863 2.740000009536743 2.819999933242798 2.8299999237060547 2.859999895095825 3.2799999713897705 3.75 4.070000171661377 4.119999885559082 4.599999904632568 4.639999866485596 4.650000095367432  milliliters per liter	12 options
nitrite	= (ANY) 0.009999999776482582 0.019999999552965164 0.03999999910593033 0.05000000074505806 0.05999999865889549 0.11999999731779099 0.12999999523162842 0.15000000596046448  micromols	8 options
nitrate	= (ANY) 0.07000000029802322 0.15000000596046448 0.33000001311302185 0.5799999833106995 1.7300000190734863 4.75 8.9399995803833 11.739999771118164 14.989999771118164 19.530000686645508 20.760000228881836  micromols	11 options
phosphate	= (ANY) 0.029999999329447746 0.07999999821186066 0.11999999731779099 0.15000000596046448 0.23999999463558197 0.3400000035762787 0.5400000214576721 0.6100000143051147 0.8199999928474426 1.1299999952316284 1.2100000381469727  micromols	11 options
silicate	= (ANY) 1.6699999570846558 1.690000057220459 1.7400000095367432 3.190000057220459 3.380000114440918 3.450000047683716 3.5199999809265137 3.619999885559082 4.309999942779541 4.570000171661377 7.25 7.869999885559082  micromols	12 options
salinity2	= (ANY) 35.472999572753906 35.47999954223633 35.79899978637695 35.888999938964844 36.242000579833984 36.28099822998047 36.3129997253418 36.35100173950195 36.35200119018555 36.38399887084961 36.395999908447266 36.415000915527344  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	25.921499252319336	35.47669982910156	4.639999866485596	0.009999999776482582	0.07000000029802322	0.029999999329447746	1.7400000095367432	35.472999572753906	0.0
19.0	25.950700759887695	35.48820114135742	4.650000095367432	0.009999999776482582	0.07000000029802322	0.029999999329447746	1.690000057220459	35.47999954223633	0.0
45.0	25.423900604248047	36.29859924316406	4.119999885559082	0.12999999523162842	0.33000001311302185	0.11999999731779099	3.190000057220459	36.28099822998047	0.0
49.0	24.491199493408203	36.330299377441406	4.070000171661377	0.11999999731779099	0.5799999833106995	0.15000000596046448	3.380000114440918	36.3129997253418	0.0
54.0	23.955900192260742	36.356998443603516	4.599999904632568	0.15000000596046448	0.15000000596046448	0.07999999821186066	1.6699999570846558	36.35100173950195	0.0
65.0	21.958200454711914	36.35649871826172	3.75	0.05999999865889549	1.7300000190734863	0.23999999463558197	3.5199999809265137	36.35200119018555	0.0
76.0	20.580699920654297	36.374298095703125	3.2799999713897705	0.05999999865889549	4.75	0.3400000035762787	3.619999885559082	36.38399887084961	0.0
81.0	19.70359992980957	36.40290069580078	2.8299999237060547	0.03999999910593033	8.9399995803833	0.5400000214576721	4.309999942779541	36.395999908447266	0.0
92.0	18.59980010986328	36.41960144042969	2.859999895095825	0.05000000074505806	11.739999771118164	0.6100000143051147	3.450000047683716	36.415000915527344	0.0
122.0	16.889999389648438	36.24760055541992	2.819999933242798	0.019999999552965164	14.989999771118164	0.8199999928474426	4.570000171661377	36.242000579833984	0.0
217.0	14.394800186157227	35.887699127197266	2.740000009536743	0.05000000074505806	19.530000686645508	1.1299999952316284	7.25	35.888999938964844	0.0
260.0	13.857099533081055	35.804901123046875	2.7300000190734863	0.03999999910593033	20.760000228881836	1.2100000381469727	7.869999885559082	35.79899978637695	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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