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Dataset Title:  "Deepwater CTD - d93d048.ctd.nc - 27.84N, -92.0W - 1993-02-00" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93d048_ctd)
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: 399)
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   200 options
    temperature ?  =  degree_C   325 options
    salinity ?  =  PSU   251 options
    oxygen ?  =  milliliters per liter   12 options
    pressure ?  =  decibars   399 options
    nitrite ?  =  micromols   6 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols   11 options
    silicate ?  =  micromols   13 options
    salinity2 ?  =  PSU   10 options
    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 pressure nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU milliliters per liter decibars micromols micromols micromols micromols PSU
1.0 20.97570037841797 36.12220001220703 4.989999771118164 1.5099999904632568 0.029999999329447746 0.029999999329447746 0.029999999329447746 1.6200000047683716 36.12699890136719 0.0
2.0 20.978099822998047 36.122100830078125 4.960000038146973 2.0139999389648438 0.029999999329447746 0.05999999865889549 0.03999999910593033 1.1799999475479126 36.12699890136719 0.0
2.0 20.979000091552734 36.12220001220703 4.96999979019165 2.5169999599456787 0.029999999329447746 0.05999999865889549 0.03999999910593033 1.0199999809265137 36.12699890136719 0.0
3.0 20.982999801635742 36.12189865112305 4.960000038146973 3.0199999809265137 0.029999999329447746 0.09000000357627869 0.05000000074505806 3.75 36.12900161743164 0.0
3.0 20.984699249267578 36.12179946899414 4.929999828338623 3.5239999294281006 0.029999999329447746 0.09000000357627869 0.019999999552965164 0.8500000238418579 36.12900161743164 0.0
4.0 20.98310089111328 36.12189865112305 3.819999933242798 4.53000020980835 0.09000000357627869 4.849999904632568 0.25 1.7300000190734863 36.395999908447266 0.0
4.0 20.984100341796875 36.12179946899414 4.949999809265137 4.0269999504089355 0.029999999329447746 0.07999999821186066 0.029999999329447746 0.8199999928474426 36.130001068115234 0.0
5.0 20.98310089111328 36.12200164794922 3.0299999713897705 5.5370001792907715 0.019999999552965164 14.180000305175781 0.800000011920929 3.940000057220459 36.263999938964844 0.0
5.0 20.98349952697754 36.12189865112305 2.9600000381469727 5.033999919891357 0.029999999329447746 12.170000076293945 0.6600000262260437 3.819999933242798 36.3849983215332 0.0
6.0 20.983299255371094 36.12200164794922 2.8399999141693115 6.544000148773193 0.05000000074505806 19.190000534057617 1.1699999570846558 7.230000019073486 35.861000061035156 0.0
6.0 20.98419952392578 36.12189865112305 2.930000066757202 6.039999961853027 0.029999999329447746 17.299999237060547 1.0299999713897705 5.75 36.012001037597656 0.0
7.0 20.982900619506836 36.12179946899414 7.551000118255615 0.0
7.0 20.98349952697754 36.122100830078125 2.7899999618530273 7.046999931335449 0.05999999865889549 12.899999618530273 1.1100000143051147 7.730000019073486 35.797000885009766 0.0
8.0 20.981800079345703 36.12189865112305 8.557000160217285 0.0
8.0 20.983200073242188 36.12189865112305 8.053999900817871 0.0
9.0 20.98390007019043 36.12200164794922 9.564000129699707 0.0
9.0 20.986099243164062 36.12189865112305 9.060999870300293 0.0
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196.0 13.8100004196167 35.78269958496094 197.91799926757812 0.0
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197.0 13.808699607849121 35.78300094604492 198.92599487304688 0.0
198.0 13.808500289916992 35.78300094604492 199.93299865722656 0.0
198.0 13.809100151062012 35.78300094604492 199.42999267578125 0.0
199.0 13.808199882507324 35.78340148925781 200.9409942626953 0.0
199.0 13.808799743652344 35.782901763916016 200.43699645996094 0.0
200.0 13.811699867248535 35.78329849243164 201.94900512695312 0.0
200.0 13.812700271606445 35.78340148925781 201.44500732421875 0.0

In total, there are 399 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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