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Dataset Title:	"Deepwater CTD - 00596852.bdo.nc - 22.0N, -85.18W - 1970-04-20"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00596852_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: 27)
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 25.0 50.0 75.0 100.0 120.0 140.0 159.0 179.0 199.0 229.0 259.0 299.0 348.0 398.0 448.0 497.0 547.0 584.0 634.0 683.0 807.0 1033.0 1182.0 1382.0 1582.0 1632.0  m	27 options
temperature	= (ANY) 4.260000228881836 4.300000190734863 4.559999942779541 5.039999961853027 6.800000190734863 9.09000015258789 9.699999809265137 10.930000305175781 11.550000190734863 13.680000305175781 14.699999809265137 15.859999656677246 16.559999465942383 17.8799991607666 18.559999465942383 19.760000228881836 22.1200008392334 23.209999084472656 23.8799991607666 24.889999389648438 25.280000686645508 25.3799991607666 25.780000686645508 26.420000076293945 26.43000030517578  degree_C	25 options
salinity	= (ANY) 34.87699890136719 34.93000030517578 34.95399856567383 34.9630012512207 34.974998474121094 35.064998626708984 35.13800048828125 35.314998626708984 35.40999984741211 35.74300003051758 35.89500045776367 35.90299987792969 35.91400146484375 35.92100143432617 35.922000885009766 35.96900177001953 36.10499954223633 36.11000061035156 36.224998474121094 36.426998138427734 36.430999755859375 36.4900016784668 36.50600051879883 36.61199951171875 36.68000030517578 36.72700119018555  PSU	26 options
oxygen	= (ANY) 2.9200000762939453 2.950000047683716 3.0799999237060547 3.119999885559082 3.359999895095825 3.4000000953674316 3.5 3.5799999237060547 3.630000114440918 3.640000104904175 3.7300000190734863 3.740000009536743 3.75 3.8399999141693115 3.880000114440918 4.119999885559082 4.289999961853027 4.5 4.519999980926514 4.739999771118164 4.760000228881836 4.78000020980835 4.800000190734863 4.889999866485596 4.940000057220459 5.289999961853027 5.53000020980835  milliliters per liter	27 options
nitrite	= (ANY)  not-measured	1 option:
nitrate	= (ANY)  not-measured	1 option:
phosphate	= (ANY)  not-measured	1 option:
silicate	= (ANY) 1.0 2.0 3.0 4.0 5.0 6.0 10.0 11.0 13.0 15.0 18.0 20.0 21.0  micromols	13 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	not-measured	not-measured	not-measured	micromols	PSU
0.0	26.43000030517578	35.92100143432617	4.760000228881836				1.0		0.0
25.0	26.420000076293945	35.922000885009766	4.739999771118164				1.0		0.0
50.0	26.43000030517578	35.91400146484375	4.519999980926514				1.0		0.0
75.0	25.780000686645508	35.89500045776367	4.78000020980835				1.0		0.0
100.0	25.3799991607666	35.96900177001953	4.800000190734863				1.0		0.0
120.0	25.280000686645508	36.11000061035156	4.5				1.0		0.0
140.0	24.889999389648438	36.426998138427734	4.119999885559082				1.0		0.0
159.0	23.8799991607666	36.4900016784668	3.880000114440918				1.0		0.0
179.0	23.209999084472656	36.72700119018555	3.630000114440918				1.0		0.0
199.0	22.1200008392334	36.68000030517578	3.740000009536743				1.0		0.0
229.0	19.760000228881836	36.61199951171875	3.640000104904175				2.0		0.0
259.0	18.559999465942383	36.50600051879883	3.5799999237060547				2.0		0.0
299.0	17.8799991607666	36.430999755859375	3.8399999141693115				2.0		0.0
348.0	16.559999465942383	36.224998474121094	3.75				3.0		0.0
398.0	15.859999656677246	36.10499954223633	3.7300000190734863				4.0		0.0
448.0	14.699999809265137	35.90299987792969	3.4000000953674316				5.0		0.0
497.0	13.680000305175781	35.74300003051758	3.5				6.0		0.0
547.0	11.550000190734863	35.40999984741211	3.0799999237060547				10.0		0.0
584.0	10.930000305175781	35.314998626708984	2.950000047683716				11.0		0.0
634.0	9.699999809265137	35.13800048828125	3.119999885559082				13.0		0.0
683.0	9.09000015258789	35.064998626708984	2.9200000762939453				15.0		0.0
807.0	6.800000190734863	34.87699890136719	3.359999895095825				20.0		0.0
1033.0	5.039999961853027	34.93000030517578	4.289999961853027				21.0		0.0
1182.0	4.559999942779541	34.95399856567383	4.889999866485596				21.0		0.0
1382.0	4.300000190734863	34.9630012512207	4.940000057220459				20.0		0.0
1582.0	4.260000228881836	34.9630012512207	5.53000020980835				18.0		0.0
1632.0	4.260000228881836	34.974998474121094	5.289999961853027				18.0		0.0

In total, there are 27 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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