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Dataset Title:	"Deepwater CTD - d93e030.bdo.nc - 28.02N, -90.5W - 1993-04-28"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93e030_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) 0.0 7.0 23.0 48.0 58.0 68.0 77.0 97.0 147.0 197.0 222.0 248.0  m	12 options
temperature	= (ANY) 13.183799743652344 14.163299560546875 14.767900466918945 15.747400283813477 18.785200119018555 20.181699752807617 21.471200942993164 22.24679946899414 22.592899322509766 22.60610008239746 22.78350067138672 22.840700149536133  degree_C (potential temperature from ctd)	12 options
salinity	= (ANY) 34.902099609375 35.68429946899414 35.836700439453125 35.93119812011719 36.082801818847656 36.38570022583008 36.39099884033203 36.399600982666016 36.40299987792969 36.42279815673828 36.43920135498047 36.45009994506836  PSU	12 options
oxygen	= (ANY) 2.819999933242798 2.880000114440918 2.9800000190734863 3.009999990463257 3.1700000762939453 3.680000066757202 4.130000114440918 4.730000019073486 4.889999866485596 4.900000095367432 4.920000076293945 5.03000020980835  milliliters per liter	12 options
nitrite	= (ANY) 0.0 0.019999999552965164 0.029999999329447746 0.05000000074505806 0.05999999865889549 0.07999999821186066 0.09000000357627869 0.2199999988079071 0.46000000834465027  micromols	9 options
nitrate	= (ANY) 0.11999999731779099 0.1599999964237213 0.20000000298023224 0.36000001430511475 3.119999885559082 6.389999866485596 10.359999656677246 15.619999885559082 17.440000534057617 18.780000686645508 20.530000686645508  micromols	11 options
phosphate	= (ANY) 0.03999999910593033 0.05000000074505806 0.05999999865889549 0.10000000149011612 0.1899999976158142 0.3499999940395355 0.5699999928474426 0.9300000071525574 1.090000033378601 1.2000000476837158 1.3300000429153442  micromols	11 options
silicate	= (ANY) 0.949999988079071 0.9700000286102295 0.9900000095367432 1.0 1.059999942779541 1.7999999523162842 2.509999990463257 3.7799999713897705 6.550000190734863 7.949999809265137 8.869999885559082 10.350000381469727  micromols	12 options
salinity2	= (ANY) 34.926998138427734 35.70100021362305 35.83399963378906 35.93600082397461 36.09000015258789 36.19200134277344 36.40399932861328 36.415000915527344 36.42900085449219 36.439998626708984 36.45600128173828 36.46799850463867  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
0.0	22.24679946899414	34.902099609375	5.03000020980835	0.029999999329447746	0.20000000298023224	0.10000000149011612	1.0	34.926998138427734	0.0
7.0	22.840700149536133	36.39099884033203	4.920000076293945	0.019999999552965164	0.1599999964237213	0.05999999865889549	0.9900000095367432	36.19200134277344	0.0
23.0	22.78350067138672	36.43920135498047	4.900000095367432	0.019999999552965164	0.11999999731779099	0.05000000074505806	0.9700000286102295	36.45600128173828	0.0
48.0	22.60610008239746	36.40299987792969	4.889999866485596	0.019999999552965164	0.11999999731779099	0.03999999910593033	0.949999988079071	36.415000915527344	0.0
58.0	22.592899322509766	36.399600982666016	4.730000019073486	0.09000000357627869	0.36000001430511475	0.05000000074505806	1.059999942779541	36.40399932861328	0.0
68.0	21.471200942993164	36.38570022583008	4.130000114440918	0.46000000834465027	3.119999885559082	0.1899999976158142	1.7999999523162842	36.439998626708984	0.0
77.0	20.181699752807617	36.45009994506836	3.680000066757202	0.2199999988079071	6.389999866485596	0.3499999940395355	2.509999990463257	36.46799850463867	0.0
97.0	18.785200119018555	36.42279815673828	3.1700000762939453	0.07999999821186066	10.359999656677246	0.5699999928474426	3.7799999713897705	36.42900085449219	0.0
147.0	15.747400283813477	36.082801818847656	3.009999990463257	0.0	15.619999885559082	0.9300000071525574	6.550000190734863	36.09000015258789	0.0
197.0	14.767900466918945	35.93119812011719	2.9800000190734863	0.05000000074505806	17.440000534057617	1.090000033378601	7.949999809265137	35.93600082397461	0.0
222.0	14.163299560546875	35.836700439453125	2.880000114440918	0.05999999865889549	18.780000686645508	1.2000000476837158	8.869999885559082	35.83399963378906	0.0
248.0	13.183799743652344	35.68429946899414	2.819999933242798	0.05000000074505806	20.530000686645508	1.3300000429153442	10.350000381469727	35.70100021362305	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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