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Dataset Title:  "LATEX CTD - d93d074.nc - 28.97N, 90.51W - 1993-02-09" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d93d074)
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   17 options
    sigmat ?  =  kg m-3   17 options
    descentRate ?  =  meters per second   16 options
    transmission ?  =  percent   17 options
    par ?  =  umol m-2 s-1   17 options
    parv ?  =  volts   17 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
1.5 1.5 16.31450080871582 16.314300537109375 3.493000030517578 26.921199798583984 19.477100372314453 0.014999999664723873 1.8799999952316284 897.0 3.9830000400543213 2.5239999294281006 -9.0
2.0 2.0 16.15369987487793 16.153400421142578 3.4839999675750732 26.952899932861328 19.53619956970215 0.23399999737739563 1.8420000076293945 664.0 3.8519999980926514 3.562000036239624 -9.0
2.5 2.5 16.02750015258789 16.027099609375 3.4825000762939453 27.02519989013672 19.618799209594727 0.20399999618530273 1.850000023841858 491.0 3.7209999561309814 4.083000183105469 -9.0
3.0 3.0 15.965800285339355 15.965299606323242 3.4837000370025635 27.076900482177734 19.67169952392578 0.21299999952316284 1.8480000495910645 353.0 3.578000068664551 4.519999980926514 -9.0
3.5 3.5 15.907600402832031 15.907099723815918 3.4816999435424805 27.099599838256836 19.70159912109375 0.22599999606609344 1.8680000305175781 256.0 3.437999963760376 4.61899995803833 -9.0
4.0 4.0 15.882399559020996 15.881799697875977 3.487299919128418 27.1648006439209 19.756999969482422 0.2160000056028366 1.940000057220459 183.0 3.2929999828338623 4.677000045776367 -9.0
4.5 4.5 15.900099754333496 15.899399757385254 3.497299909591675 27.23870086669922 19.809900283813477 0.3019999861717224 2.0880000591278076 129.0 3.1410000324249268 4.751999855041504 -9.0
5.0 5.0 15.918600082397461 15.917900085449219 3.5067999362945557 27.3080997467041 19.859100341796875 0.2280000001192093 2.2239999771118164 95.69999694824219 3.010999917984009 4.857999801635742 -9.0
5.5 5.5 15.954999923706055 15.95419979095459 3.5253000259399414 27.442699432373047 19.954500198364258 0.21299999952316284 2.4210000038146973 67.9000015258789 2.861999988555908 4.586999893188477 -9.0
6.0 6.0 15.984100341796875 15.983200073242188 3.5383999347686768 27.535600662231445 20.019500732421875 0.24500000476837158 2.562000036239624 49.900001525878906 2.7279999256134033 4.008999824523926 -9.0
6.5 6.5 16.076900482177734 16.075899124145508 3.5620999336242676 27.67460060119629 20.10610008239746 0.19200000166893005 2.687000036239624 36.20000076293945 2.5889999866485596 3.5899999141693115 -9.0
7.0 7.0 16.285999298095703 16.28499984741211 3.612299919128418 27.96030044555664 20.279499053955078 0.17399999499320984 2.9639999866485596 26.399999618530273 2.4509999752044678 2.805999994277954 -9.0
7.599999904632568 7.5 16.6117000579834 16.61050033569336 3.6879000663757324 28.3789005279541 20.52829933166504 0.2329999953508377 3.319999933242798 20.0 2.3320000171661377 1.8919999599456787 -9.0
8.100000381469727 8.0 16.92490005493164 16.9237003326416 3.7600998878479004 28.770700454711914 20.75790023803711 0.2919999957084656 3.515000104904175 15.100000381469727 2.2079999446868896 1.3990000486373901 -9.0
8.600000381469727 8.5 17.74209976196289 17.740699768066406 3.991300106048584 30.12649917602539 21.604999542236328 0.21799999475479126 3.5320000648498535 11.800000190734863 2.1019999980926514 0.9330000281333923 -9.0
9.100000381469727 9.0 19.15489959716797 19.15329933166504 4.416200160980225 32.59469985961914 23.14620018005371 0.3009999990463257 2.74399995803833 9.25 1.996000051498413 0.5720000267028809 -9.0
9.600000381469727 9.5 19.511199951171875 19.5093994140625 4.522600173950195 33.18920135498047 23.509199142456055 0.28299999237060547 1.4639999866485596 7.730000019073486 1.9179999828338623 0.3540000021457672 -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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