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Dataset Title:  "Deepwater CTD - 00837984.bdo.nc - 24.47N, -85.48W - 1983-11-13" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00837984_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   13 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
4.0 27.77899932861328 36.130001068115234 4.460000038146973 0.10000000149011612 0.07999999821186066 1.2999999523162842 0.0
50.0 27.80900001525879 36.130001068115234 4.329999923706055 -99.98999786376953 0.07000000029802322 1.2999999523162842 0.0
100.0 26.888999938964844 36.308998107910156 4.059999942779541 0.5 0.09000000357627869 1.100000023841858 0.0
150.0 22.75 36.77000045776367 3.4800000190734863 3.9000000953674316 0.2199999988079071 1.399999976158142 0.0
199.0 20.049999237060547 36.66899871826172 3.3299999237060547 7.400000095367432 0.33000001311302185 2.200000047683716 0.0
300.0 15.829999923706055 36.099998474121094 3.180000066757202 14.399999618530273 0.8600000143051147 5.300000190734863 0.0
400.0 12.619999885559082 35.58000183105469 2.7699999809265137 21.600000381469727 1.350000023841858 9.800000190734863 0.0
500.0 10.229999542236328 35.220001220703125 2.619999885559082 26.399999618530273 1.690000057220459 13.699999809265137 0.0
600.0 8.579999923706055 35.02899932861328 2.6500000953674316 29.899999618530273 1.940000057220459 18.399999618530273 0.0
801.0 6.110000133514404 34.888999938964844 3.240000009536743 30.299999237060547 2.0199999809265137 24.799999237060547 0.0
1002.0 5.079999923706055 34.92900085449219 3.799999952316284 27.5 1.8600000143051147 26.200000762939453 0.0
1201.0 4.448999881744385 34.959999084472656 4.269999980926514 25.299999237060547 1.690000057220459 25.700000762939453 0.0
1497.0 4.239999771118164 34.970001220703125 4.639999866485596 24.0 1.8799999952316284 25.299999237060547 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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