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Dataset Title:  "LATEX CTD - d93f125.nc - 29.08N, 94.77W - 1993-08-02" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d93f125)
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: 27)
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   27 options
    depth ?  =  m   27 options
    temperature ?  =  degree_C   26 options
    potentialTemperature ?  =  degree_C   27 options
    conductivity ?  =  Siemens per meter   22 options
    salinity ?  =  PSU   26 options
    sigmat ?  =  kg m-3   26 options
    descentRate ?  =  meters per second   26 options
    transmission ?  =  percent   22 options
    par ?  =  umol m-2 s-1   12 options
    parv ?  =  volts   12 options
    fluorescence ?  =  volts   24 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 30.01449966430664 30.01420021057129 5.823299884796143 34.910499572753906 21.65679931640625 -0.08100000023841858 4.2179999351501465 2.059999942779541 0.6019999980926514 1.2200000286102295 -9.0
2.0 2.0 30.01810073852539 30.01759910583496 5.823299884796143 34.907501220703125 21.65329933166504 0.3479999899864197 4.223999977111816 2.4800000190734863 0.6819999814033508 1.2289999723434448 -9.0
2.5 2.5 30.013900756835938 30.0132999420166 5.822800159454346 34.90719985961914 21.654499053955078 0.32199999690055847 4.2220001220703125 1.9299999475479126 0.5740000009536743 1.2059999704360962 -9.0
3.0 3.0 30.013700485229492 30.01289939880371 5.822800159454346 34.907501220703125 21.65489959716797 0.40700000524520874 4.2210001945495605 1.309999942779541 0.4050000011920929 1.1820000410079956 -9.0
3.5 3.5 30.01129913330078 30.010400772094727 5.82289981842041 34.9098014831543 21.657499313354492 0.4180000126361847 4.2179999351501465 1.3600000143051147 0.421999990940094 1.190000057220459 -9.0
4.0 4.0 30.010299682617188 30.009300231933594 5.822999954223633 34.9109992980957 21.658700942993164 0.35499998927116394 4.2170000076293945 1.0399999618530273 0.30399999022483826 1.190999984741211 -9.0
4.5 4.5 30.00979995727539 30.00860023498535 5.822999954223633 34.91109848022461 21.659000396728516 0.3499999940395355 4.2179999351501465 0.949999988079071 0.2669999897480011 1.1970000267028809 -9.0
5.0 5.0 30.010400772094727 30.00909996032715 5.822999954223633 34.910400390625 21.658300399780273 0.4339999854564667 4.21999979019165 0.800000011920929 0.1889999955892563 1.215000033378601 -9.0
5.5 5.5 30.010499954223633 30.009199142456055 5.8231000900268555 34.91059875488281 21.65850067138672 0.375 4.218999862670898 0.699999988079071 0.13099999725818634 1.225000023841858 -9.0
6.0 6.0 30.010299682617188 30.008800506591797 5.823200225830078 34.91189956665039 21.65959930419922 0.3499999940395355 4.216000080108643 0.5600000023841858 0.03700000047683716 1.218000054359436 -9.0
6.5 6.5 30.009899139404297 30.00819969177246 5.823200225830078 34.911598205566406 21.65959930419922 0.4169999957084656 4.2220001220703125 0.5199999809265137 0.00800000037997961 1.2209999561309814 -9.0
7.0 7.0 30.009300231933594 30.007600784301758 5.823599815368652 34.915000915527344 21.66230010986328 0.4009999930858612 4.218999862670898 0.5099999904632568 0.0 1.2109999656677246 -9.0
7.599999904632568 7.5 29.996200561523438 29.994300842285156 5.82390022277832 34.92610168457031 21.675199508666992 0.36399999260902405 4.2230000495910645 0.5099999904632568 0.0 1.2050000429153442 -9.0
8.100000381469727 8.0 29.987499237060547 29.98550033569336 5.8242998123168945 34.93479919433594 21.68470001220703 0.414000004529953 4.2220001220703125 0.5099999904632568 0.0 1.2109999656677246 -9.0
8.600000381469727 8.5 29.966299057006836 29.96419906616211 5.826000213623047 34.96179962158203 21.712200164794922 0.4659999907016754 4.224999904632568 0.5099999904632568 0.0 1.215999960899353 -9.0
9.100000381469727 9.0 29.97410011291504 29.971900939941406 5.824699878692627 34.94670104980469 21.698299407958984 0.47600001096725464 4.22599983215332 0.5099999904632568 0.0 1.2170000076293945 -9.0
9.600000381469727 9.5 29.86989974975586 29.86750030517578 5.816199779510498 34.964500427246094 21.74720001220703 0.4560000002384186 4.236999988555908 0.5099999904632568 0.0 1.218000054359436 -9.0
10.100000381469727 10.0 29.653600692749023 29.651100158691406 5.8003997802734375 35.014198303222656 21.857999801635742 0.48100000619888306 4.255000114440918 0.5099999904632568 0.0 1.2569999694824219 -9.0
10.600000381469727 10.5 29.56369972229004 29.561100006103516 5.79010009765625 35.00910186767578 21.884599685668945 0.5360000133514404 4.254000186920166 0.5099999904632568 0.0 1.3240000009536743 -9.0
11.100000381469727 11.0 29.47909927368164 29.47640037536621 5.78000020980835 35.00149917602539 21.907499313354492 0.5619999766349792 4.269000053405762 0.5099999904632568 0.0 1.3519999980926514 -9.0
11.600000381469727 11.5 29.37980079650879 29.37700080871582 5.771200180053711 35.01350021362305 21.95009994506836 0.5659999847412109 4.304999828338623 0.5099999904632568 0.0 1.3569999933242798 -9.0
12.100000381469727 12.0 29.337799072265625 29.33489990234375 5.767300128936768 35.017601013183594 21.967300415039062 0.5849999785423279 4.334000110626221 0.5099999904632568 0.0 1.350000023841858 -9.0
12.600000381469727 12.5 29.265600204467773 29.262500762939453 5.760900020599365 35.02619934082031 21.99810028076172 0.6019999980926514 4.341000080108643 0.5099999904632568 0.0 1.343999981880188 -9.0
13.100000381469727 13.0 29.09980010986328 29.096599578857422 5.747200012207031 35.05339813232422 22.074199676513672 0.5230000019073486 4.315000057220459 0.5099999904632568 0.0 1.3569999933242798 -9.0
13.600000381469727 13.5 29.002199172973633 28.999000549316406 5.740799903869629 35.080501556396484 22.127199172973633 0.4390000104904175 4.288000106811523 0.5099999904632568 0.0 1.3980000019073486 -9.0
14.100000381469727 14.0 28.826400756835938 28.822999954223633 5.732100009918213 35.150299072265625 22.238300323486328 0.4970000088214874 4.247000217437744 0.5099999904632568 0.0 1.4359999895095825 -9.0
14.600000381469727 14.5 28.582300186157227 28.578800201416016 5.716700077056885 35.2239990234375 22.374799728393555 0.46799999475479126 3.9690001010894775 0.5099999904632568 0.0 1.4830000400543213 -9.0

In total, there are 27 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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