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Dataset Title:  "Deepwater CTD - d94i014.bdo.nc - 27.97N, -91.32W - 1994-07-28" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94i014_bdo)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | 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 ?  =  m   12 options
    temperature ?  =  degree_C (potential temperature from ctd)   12 options
    salinity ?  =  PSU   12 options
    oxygen ?  =  milliliters per liter   1 option: -9.0
    nitrite ?  =  micromols   7 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols   10 options
    silicate ?  =  micromols   12 options
    salinity2 ?  =  PSU   1 option: -9.0
    qualityFlag ?  =  1 option: 0.0

View:      Map of All Related Data ?      Distinct Data Counts ?     Distinct Data ?      Related Data Counts ?     Related Data ?

 
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.
 


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.

 


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 29.65730094909668 29.657100677490234 -9.0 0.009999999776482582 0.10999999940395355 0.05999999865889549 0.28999999165534973 -9.0 0.0
11.0 29.446699142456055 33.6260986328125 -9.0 0.0 0.07999999821186066 0.05000000074505806 0.7699999809265137 -9.0 0.0
33.0 25.26689910888672 36.190399169921875 -9.0 0.0 0.019999999552965164 0.07000000029802322 0.5099999904632568 -9.0 0.0
49.0 23.297700881958008 36.32550048828125 -9.0 0.0 0.05999999865889549 0.07000000029802322 0.23000000417232513 -9.0 0.0
63.0 21.38559913635254 36.150001525878906 -9.0 0.17000000178813934 0.03999999910593033 0.05999999865889549 0.4300000071525574 -9.0 0.0
73.0 -9.0 -9.0 -9.0 0.2199999988079071 0.7099999785423279 0.10999999940395355 0.6200000047683716 -9.0 0.0
82.0 20.11199951171875 36.27939987182617 -9.0 0.07000000029802322 2.5199999809265137 0.2199999988079071 1.590000033378601 -9.0 0.0
95.0 19.583999633789062 36.333900451660156 -9.0 0.07000000029802322 2.5199999809265137 0.23000000417232513 1.649999976158142 -9.0 0.0
113.0 18.34600067138672 36.31529998779297 -9.0 0.019999999552965164 10.0600004196167 0.7099999785423279 4.46999979019165 -9.0 0.0
135.0 17.047800064086914 36.2411994934082 -9.0 0.009999999776482582 13.199999809265137 0.8899999856948853 4.449999809265137 -9.0 0.0
180.0 14.315999984741211 35.86949920654297 -9.0 0.009999999776482582 18.5 1.2599999904632568 7.150000095367432 -9.0 0.0
267.0 11.988300323486328 35.67829895019531 -9.0 0.1599999964237213 22.209999084472656 1.7100000381469727 10.729999542236328 -9.0 0.0

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.
 


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.
 


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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