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Dataset Title:  "Deepwater CTD - 87g1201.bdo.nc - 26.33N, -93.25W - 1987-11-29" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_87g1201_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: 11)
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   10 options
    temperature ?  =  degree_C   10 options
    salinity ?  =  PSU   9 options
    oxygen ?  =  milliliters per liter   11 options
    nitrite ?  =  micromols per liter   4 options
    nitrate ?  =  micromols   10 options
    phosphate ?  =  micromols per liter   11 options
    silicate ?  =  micromols per liter   11 options
    salinity2 ?  =  PSU   1 option:
    qualityFlag ?  =  2 options

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 PSU milliliters per liter micromols per liter micromols micromols per liter micromols per liter PSU
41.0 23.613000869750977 36.35499954223633 4.827000141143799 0.0 0.0 0.10999999940395355 1.7200000286102295 0.0
61.0 23.608999252319336 36.35499954223633 4.809999942779541 0.0 0.0 0.15000000596046448 1.7300000190734863 0.0
80.0 22.01099967956543 36.41899871826172 4.418000221252441 0.12999999523162842 0.23000000417232513 0.25 4.050000190734863 0.0
121.0 17.863000869750977 36.279998779296875 2.799999952316284 0.009999999776482582 13.699999809265137 0.8799999952316284 5.050000190734863 0.0
121.0 17.863000869750977 36.279998779296875 2.8540000915527344 0.019999999552965164 13.600000381469727 0.8999999761581421 4.75 0.0
141.0 15.645999908447266 36.03799819946289 2.7090001106262207 0.0 18.299999237060547 1.1699999570846558 7.420000076293945 0.0
199.0 10.958000183105469 35.3650016784668 2.571000099182129 0.0 26.899999618530273 1.7200000286102295 14.300000190734863 0.0
401.0 7.510000228881836 34.95399856567383 2.805999994277954 0.0 32.099998474121094 2.0199999809265137 22.600000381469727 1.0
801.0 5.01800012588501 34.926998138427734 4.043000221252441 0.009999999776482582 28.100000381469727 1.8799999952316284 27.700000762939453 0.0
1199.0 4.291999816894531 34.9640007019043 4.802999973297119 0.009999999776482582 24.700000762939453 1.659999966621399 27.200000762939453 0.0
1800.0 4.192999839782715 34.9739990234375 5.000999927520752 0.009999999776482582 23.700000762939453 1.6100000143051147 26.399999618530273 0.0

In total, there are 11 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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