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Dataset Title:	"Deepwater CTD - 00596763.bdo.nc - 21.83N, -85.66W - 1970-04-18"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00596763_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: 28)
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 59.0 79.0 99.0 119.0 139.0 159.0 178.0 198.0 228.0 257.0 297.0 346.0 396.0 446.0 496.0 546.0 586.0 683.0 780.0 853.0 926.0 1123.0 1370.0 1617.0 1989.0 2038.0  m	28 options
temperature	= (ANY) 4.099999904632568 4.119999885559082 4.28000020980835 4.460000038146973 4.800000190734863 5.619999885559082 6.420000076293945 7.059999942779541 8.699999809265137 10.15999984741211 10.920000076293945 12.199999809265137 13.539999961853027 14.9399995803833 16.139999389648438 17.260000228881836 18.350000381469727 19.65999984741211 21.34000015258789 22.459999084472656 24.139999389648438 25.479999542236328 25.969999313354492 26.920000076293945 27.079999923706055 27.190000534057617 27.59000015258789  degree_C	27 options
salinity	= (ANY) -99.98999786376953 34.85300064086914 34.875 34.8849983215332 34.93199920654297 34.95199966430664 34.96500015258789 34.98099899291992 34.98400115966797 35.01100158691406 35.202999114990234 35.30500030517578 35.49399948120117 35.696998596191406 35.76599884033203 35.79399871826172 35.87799835205078 35.92599868774414 35.94300079345703 35.944000244140625 35.95100021362305 36.143001556396484 36.18299865722656 36.340999603271484 36.459999084472656 36.63399887084961 36.768001556396484 36.777000427246094  PSU	28 options
oxygen	= (ANY) 2.819999933242798 2.930000066757202 3.0 3.0399999618530273 3.0799999237060547 3.3399999141693115 3.369999885559082 3.430000066757202 3.5 3.5799999237060547 3.640000104904175 3.6600000858306885 3.7300000190734863 3.9000000953674316 4.340000152587891 4.460000038146973 4.610000133514404 4.670000076293945 4.690000057220459 4.699999809265137 4.71999979019165 4.789999961853027 5.070000171661377 5.699999809265137 5.730000019073486  milliliters per liter	25 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 4.0 5.0 7.0 9.0 11.0 13.0 16.0 20.0 21.0 22.0  micromols	12 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	27.59000015258789	35.79399871826172	4.71999979019165				1.0		0.0
40.0	27.190000534057617	35.76599884033203	4.690000057220459				1.0		0.0
59.0	27.079999923706055	35.87799835205078	4.699999809265137				1.0		0.0
79.0	26.920000076293945	35.92599868774414	4.670000076293945				1.0		0.0
99.0	25.969999313354492	35.944000244140625	4.670000076293945				1.0		0.0
119.0	25.479999542236328	35.95100021362305	4.610000133514404				1.0		0.0
139.0	25.479999542236328	36.18299865722656	4.340000152587891				1.0		0.0
159.0	24.139999389648438	36.768001556396484	3.9000000953674316				1.0		0.0
178.0	22.459999084472656	36.777000427246094	3.5				1.0		0.0
198.0	21.34000015258789	-99.98999786376953	3.640000104904175				1.0		0.0
228.0	19.65999984741211	36.63399887084961	3.369999885559082				2.0		0.0
257.0	18.350000381469727	36.459999084472656	3.5799999237060547				2.0		0.0
297.0	17.260000228881836	36.340999603271484	3.6600000858306885				2.0		0.0
346.0	16.139999389648438	36.143001556396484	3.7300000190734863				4.0		0.0
396.0	14.9399995803833	35.94300079345703	3.3399999141693115				5.0		0.0
446.0	13.539999961853027	35.696998596191406	3.3399999141693115				7.0		0.0
496.0	12.199999809265137	35.49399948120117	3.0				9.0		0.0
546.0	10.920000076293945	35.30500030517578	2.930000066757202				11.0		0.0
586.0	10.15999984741211	35.202999114990234	2.819999933242798				13.0		0.0
683.0	8.699999809265137	35.01100158691406	3.0399999618530273				16.0		0.0
780.0	7.059999942779541	34.8849983215332	3.0799999237060547				20.0		0.0
853.0	6.420000076293945	34.85300064086914	3.430000066757202				21.0		0.0
926.0	5.619999885559082	34.875	3.6600000858306885				22.0		1.0
1123.0	4.800000190734863	34.93199920654297	4.460000038146973				22.0		0.0
1370.0	4.460000038146973	34.95199966430664	4.789999961853027				22.0		0.0
1617.0	4.28000020980835	34.96500015258789	5.070000171661377				21.0		0.0
1989.0	4.119999885559082	34.98099899291992	5.699999809265137				16.0		0.0
2038.0	4.099999904632568	34.98400115966797	5.730000019073486				16.0		0.0

In total, there are 28 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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