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Dataset Title:  "LATEX CTD - d93d027.nc - 29.47N, 94.0W - 1993-02-07" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d93d027)
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: 17)
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   17 options
    depth ?  =  m   17 options
    temperature ?  =  degree_C   17 options
    potentialTemperature ?  =  degree_C   17 options
    conductivity ?  =  Siemens per meter   17 options
    salinity ?  =  PSU   16 options
    sigmat ?  =  kg m-3   16 options
    descentRate ?  =  meters per second   17 options
    transmission ?  =  percent   17 options
    par ?  =  umol m-2 s-1   3 options
    parv ?  =  volts   4 options
    fluorescence ?  =  volts   17 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
2.5 2.5 14.567099571228027 14.566800117492676 3.2118000984191895 25.64430046081543 18.86039924621582 0.1589999943971634 2.6689999103546143 0.1599999964237213 0.23100000619888306 4.514999866485596 -9.0
3.0 3.0 14.565899848937988 14.565500259399414 3.2121999263763428 25.648500442504883 18.86400032043457 0.2630000114440918 2.678999900817871 0.10000000149011612 0.04600000008940697 4.460999965667725 -9.0
3.5 3.5 14.565299987792969 14.564800262451172 3.2123000621795654 25.650299072265625 18.865400314331055 0.25999999046325684 2.674999952316284 0.09000000357627869 -9.0 4.504000186920166 -9.0
4.0 4.0 14.563699722290039 14.563199996948242 3.211400032043457 25.6427001953125 18.859899520874023 0.34200000762939453 2.680999994277954 0.09000000357627869 0.0 4.572999954223633 -9.0
4.5 4.5 14.56190013885498 14.561300277709961 3.209399938583374 25.626699447631836 18.847900390625 0.3790000081062317 2.690999984741211 0.09000000357627869 0.0 4.659999847412109 -9.0
5.0 5.0 14.559800148010254 14.559100151062012 3.208400011062622 25.618600845336914 18.841999053955078 0.3449999988079071 2.6730000972747803 0.09000000357627869 0.0 4.559999942779541 -9.0
5.5 5.5 14.568900108337402 14.568099975585938 3.21370005607605 25.659000396728516 18.871299743652344 0.3050000071525574 2.6700000762939453 0.09000000357627869 0.0 4.557000160217285 -9.0
6.0 6.0 14.656800270080566 14.656000137329102 3.2530999183654785 25.947999954223633 19.076000213623047 0.2590000033378601 2.8239998817443848 0.09000000357627869 0.0 4.261000156402588 -9.0
6.5 6.5 14.749099731445312 14.748200416564941 3.301100015640259 26.309600830078125 19.335599899291992 0.3019999861717224 2.7839999198913574 0.09000000357627869 0.0 4.132999897003174 -9.0
7.0 7.0 14.841300010681152 14.840399742126465 3.349100112915039 26.670299530029297 19.594100952148438 0.27000001072883606 2.7639999389648438 0.09000000357627869 0.0 4.264999866485596 -9.0
7.599999904632568 7.5 14.933600425720215 14.932499885559082 3.397200107574463 27.030099868774414 19.8518009185791 0.23600000143051147 2.9019999504089355 0.09000000357627869 0.0 4.223999977111816 -9.0
8.100000381469727 8.0 15.085800170898438 15.084699630737305 3.480799913406372 27.659900665283203 20.30459976196289 0.26499998569488525 3.178999900817871 0.09000000357627869 0.0 2.4679999351501465 -9.0
8.600000381469727 8.5 15.109299659729004 15.108099937438965 3.4927000999450684 27.748199462890625 20.367399215698242 0.25600001215934753 3.0429999828338623 0.09000000357627869 0.0 1.9539999961853027 -9.0
9.100000381469727 9.0 15.116600036621094 15.115300178527832 3.4964001178741455 27.775800704956055 20.38719940185547 0.24699999392032623 2.992000102996826 0.09000000357627869 0.0 1.8170000314712524 -9.0
9.600000381469727 9.5 15.11989974975586 15.118499755859375 3.497999906539917 27.78700065612793 20.395099639892578 0.21899999678134918 2.947000026702881 0.09000000357627869 0.0 1.7960000038146973 -9.0
10.100000381469727 10.0 15.121199607849121 15.119799613952637 3.4986000061035156 27.7908992767334 20.397899627685547 0.2639999985694885 2.938999891281128 0.09000000357627869 0.0 1.8339999914169312 -9.0
10.600000381469727 10.5 15.121000289916992 15.119500160217285 3.498500108718872 27.7908992767334 20.397899627685547 0.23000000417232513 2.944000005722046 0.09000000357627869 0.0 1.9149999618530273 -9.0

In total, there are 17 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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