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Dataset Title:	"Deepwater CTD - 00681559.bdo.nc - 23.33N, -86.25W - 1973-05-20"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00681559_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 40.0 80.0 120.0 159.0 179.0 199.0 219.0 239.0 279.0 319.0 379.0 438.0 497.0 549.0 596.0 645.0 697.0 742.0 837.0 1023.0 1307.0 1595.0 1885.0 2177.0 2475.0 2773.0  m	27 options
temperature	= (ANY) 4.239999771118164 4.25 4.260000228881836 4.28000020980835 4.400000095367432 5.489999771118164 6.900000095367432 8.369999885559082 9.420000076293945 10.319999694824219 11.520000457763672 12.239999771118164 12.869999885559082 14.609999656677246 16.020000457763672 17.540000915527344 18.31999969482422 19.81999969482422 20.579999923706055 21.549999237060547 22.579999923706055 23.700000762939453 25.40999984741211 25.8799991607666 27.059999465942383 27.139999389648438  degree_C	26 options
salinity	= (ANY) 34.4900016784668 34.862998962402344 34.88800048828125 34.959999084472656 34.9630012512207 34.965999603271484 34.96900177001953 34.97800064086914 35.0989990234375 35.207000732421875 35.38199996948242 35.47999954223633 35.597999572753906 35.89400100708008 36.12799835205078 36.143001556396484 36.14799880981445 36.15700149536133 36.15999984741211 36.38600158691406 36.48099899291992 36.63999938964844 36.69300079345703 36.698001861572266 36.72600173950195 36.73699951171875  PSU	26 options
oxygen	= (ANY) 2.75 2.809999942779541 2.8399999141693115 2.859999895095825 2.9600000381469727 3.049999952316284 3.109999895095825 3.380000114440918 3.569999933242798 3.5899999141693115 3.5999999046325684 3.630000114440918 3.6600000858306885 3.7100000381469727 3.75 3.7699999809265137 3.8399999141693115 4.610000133514404 4.630000114440918 4.639999866485596 4.699999809265137 4.730000019073486 4.929999828338623 5.0 5.070000171661377 5.079999923706055  milliliters per liter	26 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 5.0 7.0 9.0 10.0 11.0 14.0 17.0 19.0 23.0 24.0 25.0 26.0  micromols	15 options
salinity2	= (ANY)  PSU	1 option:
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	PSU	milliliters per liter	not-measured	not-measured	not-measured	micromols	PSU
0.0	27.139999389648438	36.15999984741211	4.630000114440918				2.0		0.0
40.0	27.059999465942383	36.15700149536133	4.639999866485596				2.0		0.0
80.0	25.8799991607666	36.14799880981445	4.699999809265137				1.0		0.0
120.0	25.40999984741211	36.143001556396484	4.610000133514404				1.0		0.0
159.0	23.700000762939453	36.69300079345703	3.8399999141693115				2.0		0.0
179.0	22.579999923706055	36.72600173950195	3.7100000381469727				2.0		0.0
199.0	21.549999237060547	36.73699951171875	3.569999933242798				2.0		0.0
219.0	20.579999923706055	36.698001861572266	3.5899999141693115				2.0		0.0
239.0	19.81999969482422	36.63999938964844	3.630000114440918				2.0		0.0
279.0	18.31999969482422	36.48099899291992	3.6600000858306885				3.0		0.0
319.0	17.540000915527344	36.38600158691406	3.7699999809265137				3.0		0.0
379.0	16.020000457763672	36.12799835205078	3.5999999046325684				5.0		0.0
438.0	14.609999656677246	35.89400100708008	3.380000114440918				7.0		0.0
497.0	12.869999885559082	35.597999572753906	3.109999895095825				9.0		0.0
549.0	12.239999771118164	35.47999954223633	2.859999895095825				10.0		1.0
596.0	11.520000457763672	35.38199996948242	2.9600000381469727				11.0		1.0
645.0	10.319999694824219	35.207000732421875	2.809999942779541				14.0		1.0
697.0	9.420000076293945	35.0989990234375	2.75				17.0		0.0
742.0	8.369999885559082	34.96900177001953	2.8399999141693115				19.0		0.0
837.0	6.900000095367432	34.862998962402344	3.049999952316284				23.0		1.0
1023.0	5.489999771118164	34.88800048828125	3.75				25.0		0.0
1307.0	4.400000095367432	34.4900016784668	4.730000019073486				26.0		1.0
1595.0	4.239999771118164	34.959999084472656	4.929999828338623				25.0		0.0
1885.0	4.239999771118164	34.9630012512207	4.929999828338623				25.0		0.0
2177.0	4.25	34.97800064086914	5.070000171661377				24.0		0.0
2475.0	4.260000228881836	34.965999603271484	5.079999923706055				25.0		0.0
2773.0	4.28000020980835	34.96900177001953	5.0				24.0		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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