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Dataset Title:  "NEGOM CTD - n6l04s01.nc - 30.22N, 87.35W - 1999-00-20" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n6l04s01)
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: 31)
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   31 options
    depth ?  =  m   31 options
    temperature ?  =  degree_C   31 options
    potentialTemperature ?  =  degree_C   31 options
    conductivity ?  =  Siemens per meter   28 options
    salinity ?  =  PSU   31 options
    sigmat ?  =  kg m-3   28 options
    descentRate ?  =  meters per second   30 options
    transmission ?  =  percent   24 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   28 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
2.0 2.0 29.336299896240234 29.335800170898438 5.757900238037109 34.951900482177734 21.9153995513916 0.16200000047683716 3.9700000286102295 -9.0 -9.0 1.2890000343322754 -9.0
2.5 2.5 29.335500717163086 29.33489990234375 5.757900238037109 34.95220184326172 21.915800094604492 0.17900000512599945 3.9730000495910645 -9.0 -9.0 1.3079999685287476 -9.0
3.0 3.0 29.332799911499023 29.33209991455078 5.757599830627441 34.952301025390625 21.916900634765625 0.24199999868869781 3.9790000915527344 -9.0 -9.0 1.309000015258789 -9.0
3.5 3.5 29.333200454711914 29.332300186157227 5.757699966430664 34.952598571777344 21.91699981689453 0.3499999940395355 3.9800000190734863 -9.0 -9.0 1.3250000476837158 -9.0
4.0 4.0 29.3351993560791 29.334199905395508 5.757999897003174 34.95280075073242 21.916500091552734 0.24400000274181366 3.9790000915527344 -9.0 -9.0 1.3170000314712524 -9.0
4.5 4.5 29.334400177001953 29.33329963684082 5.757999897003174 34.952999114990234 21.91699981689453 0.3109999895095825 3.9800000190734863 -9.0 -9.0 1.315999984741211 -9.0
5.0 5.0 29.339399337768555 29.338199615478516 5.758500099182129 34.95309829711914 21.91550064086914 0.4230000078678131 3.9769999980926514 -9.0 -9.0 1.3229999542236328 -9.0
5.5 5.5 29.337799072265625 29.33639907836914 5.758299827575684 34.95289993286133 21.915800094604492 0.4580000042915344 3.9820001125335693 -9.0 -9.0 1.309000015258789 -9.0
6.0 6.0 29.340099334716797 29.338600158691406 5.758500099182129 34.95240020751953 21.91469955444336 0.3659999966621399 3.9790000915527344 -9.0 -9.0 1.3170000314712524 -9.0
6.5 6.5 29.338600158691406 29.336999893188477 5.758399963378906 34.95249938964844 21.9153995513916 0.27799999713897705 3.9690001010894775 -9.0 -9.0 1.3109999895095825 -9.0
7.0 7.0 29.23699951171875 29.235300064086914 5.748000144958496 34.95479965209961 21.9512996673584 0.43799999356269836 3.931999921798706 -9.0 -9.0 1.3140000104904175 -9.0
7.599999904632568 7.5 28.985700607299805 28.98390007019043 5.725900173187256 34.986900329589844 22.059600830078125 0.5 3.9119999408721924 -9.0 -9.0 1.340000033378601 -9.0
8.100000381469727 8.0 28.744199752807617 28.742300033569336 5.708399772644043 35.0432014465332 22.18239974975586 0.4300000071525574 3.8610000610351562 -9.0 -9.0 1.3899999856948853 -9.0
8.600000381469727 8.5 28.667400360107422 28.665300369262695 5.703800201416016 35.06809997558594 22.226699829101562 0.2930000126361847 3.8550000190734863 -9.0 -9.0 1.4509999752044678 -9.0
9.100000381469727 9.0 28.38599967956543 28.383800506591797 5.685800075531006 35.150901794433594 22.381999969482422 0.33399999141693115 3.8580000400543213 -9.0 -9.0 1.4500000476837158 -9.0
9.600000381469727 9.5 28.251300811767578 28.249000549316406 5.677499771118164 35.19309997558594 22.458200454711914 0.4399999976158142 3.8399999141693115 -9.0 -9.0 1.465999960899353 -9.0
10.100000381469727 10.0 27.793100357055664 27.790700912475586 5.656799793243408 35.39080047607422 22.756900787353516 0.40799999237060547 3.884000062942505 -9.0 -9.0 1.4809999465942383 -9.0
10.600000381469727 10.5 27.50160026550293 27.499099731445312 5.638400077819824 35.481201171875 22.919599533081055 0.21299999952316284 3.9489998817443848 -9.0 -9.0 1.4910000562667847 -9.0
11.100000381469727 11.0 27.337299346923828 27.334699630737305 5.628200054168701 35.53390121459961 23.012399673461914 0.328000009059906 3.9839999675750732 -9.0 -9.0 1.4880000352859497 -9.0
11.600000381469727 11.5 27.29990005493164 27.297199249267578 5.626999855041504 35.55329895019531 23.039100646972656 0.3240000009536743 3.9839999675750732 -9.0 -9.0 1.5019999742507935 -9.0
12.100000381469727 12.0 27.219900131225586 27.217100143432617 5.621200084686279 35.57279968261719 23.079599380493164 0.1899999976158142 3.9839999675750732 -9.0 -9.0 1.5 -9.0
12.600000381469727 12.5 27.1481990814209 27.145299911499023 5.615099906921387 35.583900451660156 23.111099243164062 0.32899999618530273 3.984999895095825 -9.0 -9.0 1.5230000019073486 -9.0
13.100000381469727 13.0 27.094499588012695 27.09149932861328 5.6107001304626465 35.59379959106445 23.135799407958984 0.2770000100135803 3.9860000610351562 -9.0 -9.0 1.5230000019073486 -9.0
13.600000381469727 13.5 27.075000762939453 27.0718994140625 5.609099864959717 35.59700012207031 23.144500732421875 0.2549999952316284 3.9839999675750732 -9.0 -9.0 1.5360000133514404 -9.0
14.100000381469727 14.0 27.03070068359375 27.02750015258789 5.605500221252441 35.604698181152344 23.164499282836914 0.27900001406669617 3.9830000400543213 -9.0 -9.0 1.5499999523162842 -9.0
14.600000381469727 14.5 26.95210075378418 26.94879913330078 5.599100112915039 35.61920166015625 23.200599670410156 0.25600001215934753 4.011000156402588 -9.0 -9.0 1.5410000085830688 -9.0
15.100000381469727 15.0 26.872299194335938 26.868799209594727 5.592100143432617 35.63019943237305 23.234399795532227 0.25999999046325684 3.986999988555908 -9.0 -9.0 1.5399999618530273 -9.0
15.600000381469727 15.5 26.70400047302246 26.70039939880371 5.5782999992370605 35.660099029541016 23.310699462890625 0.22100000083446503 4.077000141143799 -9.0 -9.0 1.5069999694824219 -9.0
16.100000381469727 16.0 26.587900161743164 26.584199905395508 5.56689977645874 35.667301177978516 23.35300064086914 0.1899999976158142 4.019000053405762 -9.0 -9.0 1.534000039100647 -9.0
16.600000381469727 16.5 26.487499237060547 26.483699798583984 5.55620002746582 35.66790008544922 23.38520050048828 0.15399999916553497 3.8550000190734863 -9.0 -9.0 1.7580000162124634 -9.0
17.100000381469727 17.0 26.416000366210938 26.412099838256836 5.548600196838379 35.667598724365234 23.40760040283203 0.15700000524520874 3.7690000534057617 -9.0 -9.0 1.8240000009536743 -9.0

In total, there are 31 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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