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Dataset Title:  "Deepwater CTD - 00830136.bdo.nc - 24.77N, -84.28W - 1983-03-10" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00830136_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   13 options
    oxygen ?  =  milliliters per liter   12 options
    nitrite ?  =  not-measured   1 option:
    nitrate ?  =  micromols   12 options
    phosphate ?  =  micromols   13 options
    silicate ?  =  micromols   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 not-measured micromols micromols micromols PSU
2.0 25.589000701904297 36.02000045776367 4.849999904632568 -99.98999786376953 0.09000000357627869 1.2000000476837158 0.0
50.0 25.55900001525879 36.03900146484375 4.849999904632568 -99.98999786376953 0.05000000074505806 1.2000000476837158 0.0
100.0 25.06999969482422 36.27000045776367 4.650000095367432 1.2999999523162842 0.07000000029802322 1.2999999523162842 0.0
150.0 22.110000610351562 36.729000091552734 3.740000009536743 5.0 0.27000001072883606 2.0 0.0
201.0 19.198999404907227 36.558998107910156 3.7899999618530273 8.300000190734863 0.41999998688697815 2.799999952316284 0.0
303.0 14.640000343322754 35.90999984741211 3.380000114440918 19.0 0.8700000047683716 7.900000095367432 0.0
402.0 11.489999771118164 35.439998626708984 2.880000114440918 25.100000381469727 1.2100000381469727 12.5 1.0
501.0 9.130000114440918 35.099998474121094 3.130000114440918 29.399999618530273 1.4800000190734863 17.899999618530273 0.0
600.0 7.639999866485596 34.939998626708984 3.640000104904175 31.299999237060547 1.940000057220459 21.100000381469727 0.0
802.0 5.829999923706055 34.89899826049805 4.139999866485596 31.899999618530273 2.009999990463257 25.0 0.0
998.0 5.03000020980835 34.92900085449219 4.53000020980835 28.600000381469727 1.8300000429153442 26.399999618530273 0.0
1197.0 4.508999824523926 34.959999084472656 4.440000057220459 26.299999237060547 1.2799999713897705 25.899999618530273 0.0
1441.0 4.258999824523926 34.970001220703125 5.099999904632568 24.700000762939453 1.190000057220459 25.0 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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