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Dataset Title:  "LATEX CTD - d93g092.nc - 29.57N, 93.0W - 1993-11-12" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d93g092)
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: 16)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    pressure ?  =  dBar   16 options
    depth ?  =  m   16 options
    temperature ?  =  degree_C   10 options
    potentialTemperature ?  =  degree_C   11 options
    conductivity ?  =  Siemens per meter   3 options
    salinity ?  =  PSU   9 options
    sigmat ?  =  kg m-3   7 options
    descentRate ?  =  meters per second   16 options
    transmission ?  =  percent   14 options
    par ?  =  umol m-2 s-1   2 options
    parv ?  =  volts   3 options
    fluorescence ?  =  volts   16 options
    backscattering ?  =  volts   1 option: -9.0

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)  

pressure depth temperature potentialTemperature conductivity salinity sigmat descentRate transmission par parv fluorescence backscattering
dBar m degree_C degree_C Siemens per meter PSU kg m-3 meters per second percent umol m-2 s-1 volts volts volts
3.0 3.0 17.188199996948242 17.187999725341797 3.640399932861328 27.57859992980957 19.786100387573242 0.3370000123977661 2.9549999237060547 0.550000011920929 0.02800000086426735 2.371999979019165 -9.0
3.5 3.5 17.187700271606445 17.1875 3.640399932861328 27.57819938659668 19.785900115966797 0.5839999914169312 2.9570000171661377 0.5099999904632568 -9.0 2.4079999923706055 -9.0
4.0 4.0 17.18790054321289 17.1875 3.6403000354766846 27.577800750732422 19.785600662231445 0.5950000286102295 2.934000015258789 0.5099999904632568 0.0 2.375 -9.0
4.5 4.5 17.187599182128906 17.18720054626465 3.6403000354766846 27.577899932861328 19.78569984436035 0.4350000023841858 2.934000015258789 0.5099999904632568 0.0 2.359999895095825 -9.0
5.0 5.0 17.187000274658203 17.186500549316406 3.6403000354766846 27.578100204467773 19.786100387573242 0.8109999895095825 2.944000005722046 0.5099999904632568 0.0 2.3589999675750732 -9.0
5.5 5.5 17.186500549316406 17.18600082397461 3.640399932861328 27.578399658203125 19.786399841308594 0.8920000195503235 2.9100000858306885 0.5099999904632568 0.0 2.3889999389648438 -9.0
6.0 6.0 17.186599731445312 17.18600082397461 3.640399932861328 27.578399658203125 19.786399841308594 0.6700000166893005 2.930999994277954 0.5099999904632568 0.0 2.384000062942505 -9.0
6.5 6.5 17.187599182128906 17.186899185180664 3.640500068664551 27.57819938659668 19.785999298095703 0.7210000157356262 2.924999952316284 0.5099999904632568 0.0 2.371000051498413 -9.0
7.0 7.0 17.188199996948242 17.1875 3.640500068664551 27.577899932861328 19.78569984436035 0.9459999799728394 2.9130001068115234 0.5099999904632568 0.0 2.384999990463257 -9.0
7.5 7.5 17.186500549316406 17.185699462890625 3.6403000354766846 27.57740020751953 19.78569984436035 0.824999988079071 2.9130001068115234 0.5099999904632568 0.0 2.4059998989105225 -9.0
8.0 8.0 17.18670082092285 17.185699462890625 3.6403000354766846 27.577199935913086 19.785499572753906 0.4410000145435333 2.934999942779541 0.5099999904632568 0.0 2.437000036239624 -9.0
8.5 8.5 17.186599731445312 17.18560028076172 3.640399932861328 27.57740020751953 19.78569984436035 0.6010000109672546 2.9230000972747803 0.5099999904632568 0.0 2.433000087738037 -9.0
9.0 9.0 17.187000274658203 17.18589973449707 3.640399932861328 27.57740020751953 19.78569984436035 0.7260000109672546 2.937000036239624 0.5099999904632568 0.0 2.443000078201294 -9.0
9.600000381469727 9.5 17.187000274658203 17.185800552368164 3.640399932861328 27.577199935913086 19.785499572753906 0.6100000143051147 2.9489998817443848 0.5099999904632568 0.0 2.4230000972747803 -9.0
10.100000381469727 10.0 17.186899185180664 17.18560028076172 3.640399932861328 27.57740020751953 19.78569984436035 0.3840000033378601 2.9600000381469727 0.5099999904632568 0.0 2.4040000438690186 -9.0
10.600000381469727 10.5 17.1875 17.186100006103516 3.640500068664551 27.577499389648438 19.78569984436035 0.414000004529953 2.9140000343322754 0.5099999904632568 0.0 2.4030001163482666 -9.0

In total, there are 16 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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