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Dataset Title:  "Deepwater CTD - 00843617.bdo.nc - 25.22N, -84.92W - 1984-05-14" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00843617_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: 13)
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   13 options
    temperature ?  =  degree_C   13 options
    salinity ?  =  PSU   12 options
    oxygen ?  =  milliliters per liter   13 options
    nitrite ?  =  not-measured   1 option:
    nitrate ?  =  micromols   9 options
    phosphate ?  =  micromols   12 options
    silicate ?  =  micromols   12 options
    salinity2 ?  =  PSU   1 option:
    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 PSU milliliters per liter not-measured micromols micromols micromols PSU
3.0 27.05900001525879 36.33000183105469 4.71999979019165 -99.98999786376953 0.07000000029802322 1.399999976158142 0.0
25.0 26.89900016784668 36.31999969482422 4.699999809265137 -99.98999786376953 0.019999999552965164 2.200000047683716 0.0
49.0 26.819000244140625 36.349998474121094 4.650000095367432 -99.98999786376953 0.029999999329447746 1.2999999523162842 0.0
73.0 25.719999313354492 36.40999984741211 4.550000190734863 -99.98999786376953 0.019999999552965164 1.600000023841858 0.0
99.0 24.940000534057617 36.61000061035156 4.130000114440918 1.899999976158142 0.12999999523162842 1.399999976158142 0.0
151.0 20.948999404907227 36.75 3.5199999809265137 6.5 0.4000000059604645 2.299999952316284 0.0
201.0 17.829999923706055 36.349998474121094 3.4200000762939453 10.800000190734863 0.7699999809265137 4.800000190734863 0.0
303.0 14.130000114440918 35.83000183105469 3.180000066757202 17.799999237060547 1.3600000143051147 7.900000095367432 0.0
403.0 11.789999961853027 35.44900131225586 2.9200000762939453 25.100000381469727 2.009999990463257 12.100000381469727 0.0
503.0 9.319999694824219 35.11000061035156 2.8399999141693115 30.899999618530273 2.5299999713897705 17.899999618530273 0.0
604.0 7.389999866485596 34.91899871826172 2.940000057220459 30.899999618530273 2.430000066757202 22.399999618530273 0.0
794.0 5.839000225067139 34.89899826049805 3.5399999618530273 29.600000381469727 2.369999885559082 25.600000381469727 0.0
965.0 4.979000091552734 34.92900085449219 4.119999885559082 26.899999618530273 2.1700000762939453 26.299999237060547 0.0

In total, there are 13 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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