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Dataset Title:	"Deepwater CTD - 89g1523.bdo.nc - 25.67N, -95.49W - 1989-11-14"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_89g1523_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: 16)
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) 9.0 24.0 49.0 67.0 89.0 110.0 124.0 149.0 201.0 300.0 400.0 498.0 601.0 793.0 795.0 1000.0  m	16 options
temperature	= (ANY) 4.699999809265137 5.510000228881836 5.519999980926514 6.599999904632568 7.630000114440918 9.020000457763672 10.890000343322754 13.720000267028809 16.010000228881836 17.260000228881836 18.309999465942383 19.739999771118164 21.899999618530273 24.709999084472656 24.959999084472656 25.350000381469727  degree_C	16 options
salinity	= (ANY) 34.279998779296875 34.90399932861328 34.90999984741211 34.9109992980957 34.94300079345703 34.95600128173828 35.07699966430664 35.345001220703125 35.762001037597656 36.11899948120117 36.29600143432617 36.40800094604492 36.42399978637695 36.439998626708984 36.5099983215332 36.52399826049805  PSU	16 options
oxygen	= (ANY) 2.6640000343322754 2.703000068664551 2.763000011444092 2.7730000019073486 2.9519999027252197 2.9609999656677246 2.99399995803833 3.0989999771118164 3.2109999656677246 3.687999963760376 3.691999912261963 4.0920000076293945 4.314000129699707 4.75 4.769000053405762 4.8480000495910645  milliliters per liter	16 options
nitrite	= (ANY)  micromols	1 option:
nitrate	= (ANY) 0.0 0.10000000149011612 0.800000011920929 8.199999809265137 11.699999809265137 13.699999809265137 15.800000190734863 21.899999618530273 26.299999237060547 27.0 29.700000762939453 30.600000381469727 32.099998474121094 32.400001525878906  micromols	14 options
phosphate	= (ANY) 0.09000000357627869 0.10000000149011612 0.14000000059604645 0.18000000715255737 0.5 0.7300000190734863 0.8500000238418579 1.0199999809265137 1.340000033378601 1.7000000476837158 1.899999976158142 2.009999990463257 2.0299999713897705 2.049999952316284 2.1600000858306885 2.190000057220459  micromols	16 options
silicate	= (ANY) 2.0999999046325684 2.200000047683716 2.4000000953674316 2.5999999046325684 3.700000047683716 4.5 5.400000095367432 5.599999904632568 8.699999809265137 12.300000190734863 16.299999237060547 18.899999618530273 20.299999237060547 22.299999237060547 22.5 23.100000381469727  micromols	16 options
salinity2	= (ANY)  PSU	1 option:
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	PSU	milliliters per liter	micromols	micromols	micromols	micromols	PSU
9.0	24.709999084472656	34.279998779296875	4.8480000495910645		0.0	0.18000000715255737	2.4000000953674316		0.0
24.0	25.350000381469727	36.40800094604492	4.75		0.0	0.10000000149011612	2.0999999046325684		0.0
49.0	24.959999084472656	36.439998626708984	4.769000053405762		0.10000000149011612	0.09000000357627869	2.200000047683716		0.0
67.0	21.899999618530273	36.52399826049805	4.0920000076293945		0.800000011920929	0.14000000059604645	2.5999999046325684		0.0
89.0	19.739999771118164	36.5099983215332	3.2109999656677246		8.199999809265137	0.5	3.700000047683716		0.0
110.0	18.309999465942383	36.42399978637695	2.9609999656677246		11.699999809265137	0.7300000190734863	4.5		0.0
124.0	17.260000228881836	36.29600143432617	2.99399995803833		13.699999809265137	0.8500000238418579	5.400000095367432		0.0
149.0	16.010000228881836	36.11899948120117	2.9519999027252197		15.800000190734863	1.0199999809265137	5.599999904632568		0.0
201.0	13.720000267028809	35.762001037597656	2.763000011444092		21.899999618530273	1.340000033378601	8.699999809265137		0.0
300.0	10.890000343322754	35.345001220703125	2.703000068664551		26.299999237060547	1.7000000476837158	12.300000190734863		0.0
400.0	9.020000457763672	35.07699966430664	2.6640000343322754		30.600000381469727	2.049999952316284	16.299999237060547		0.0
498.0	7.630000114440918	34.95600128173828	2.7730000019073486		32.400001525878906	2.1600000858306885	18.899999618530273		0.0
601.0	6.599999904632568	34.90399932861328	3.0989999771118164		32.099998474121094	2.190000057220459	20.299999237060547		0.0
793.0	5.519999980926514	34.9109992980957	3.691999912261963		29.700000762939453	2.009999990463257	22.5		0.0
795.0	5.510000228881836	34.90999984741211	3.687999963760376		29.700000762939453	2.0299999713897705	22.299999237060547		0.0
1000.0	4.699999809265137	34.94300079345703	4.314000129699707		27.0	1.899999976158142	23.100000381469727		0.0

In total, there are 16 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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