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Dataset Title:  "NEGOM CTD - n4l03s00.nc - 30.14N, 88.09W - 1998-11-23" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n4l03s00)
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   15 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   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   17 options
    backscattering ?  =  volts   16 options

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
3.5 3.5 20.86009979248047 20.859399795532227 4.743500232696533 33.906898498535156 23.699899673461914 0.28299999237060547 2.3970000743865967 -9.0 -9.0 1.4199999570846558 2.4679999351501465
4.0 4.0 20.86240005493164 20.861600875854492 4.74399995803833 33.909000396728516 23.700899124145508 0.37700000405311584 2.3910000324249268 -9.0 -9.0 1.4809999465942383 2.4100000858306885
4.5 4.5 20.864599227905273 20.86370086669922 4.744500160217285 33.910701751708984 23.70159912109375 0.3409999907016754 2.4049999713897705 -9.0 -9.0 1.4509999752044678 2.493000030517578
5.0 5.0 20.86440086364746 20.863500595092773 4.7444000244140625 33.910301208496094 23.701400756835938 0.36899998784065247 2.4159998893737793 -9.0 -9.0 1.3839999437332153 2.4820001125335693
5.5 5.5 20.868799209594727 20.867799758911133 4.745299816131592 33.913700103759766 23.702800750732422 0.2630000114440918 2.443000078201294 -9.0 -9.0 1.3279999494552612 2.510999917984009
6.0 6.0 20.875499725341797 20.874399185180664 4.748600006103516 33.934898376464844 23.717199325561523 0.328000009059906 2.447999954223633 -9.0 -9.0 1.3140000104904175 2.5409998893737793
6.5 6.5 20.875999450683594 20.874799728393555 4.751399993896484 33.9567985534668 23.733699798583984 0.3610000014305115 2.3929998874664307 -9.0 -9.0 1.3550000190734863 2.6549999713897705
7.0 7.0 20.876100540161133 20.874799728393555 4.751299858093262 33.955501556396484 23.732799530029297 0.27900001406669617 2.3510000705718994 -9.0 -9.0 1.4539999961853027 2.615999937057495
7.599999904632568 7.5 20.87579917907715 20.874399185180664 4.752500057220459 33.96540069580078 23.740400314331055 0.2750000059604645 2.3359999656677246 -9.0 -9.0 1.38100004196167 2.687999963760376
8.100000381469727 8.0 20.874300003051758 20.872800827026367 4.754000186920166 33.97809982299805 23.750499725341797 0.2630000114440918 2.3329999446868896 -9.0 -9.0 1.3880000114440918 2.759000062942505
8.600000381469727 8.5 20.87220001220703 20.8705997467041 4.755899906158447 33.99489974975586 23.763900756835938 0.17499999701976776 2.319999933242798 -9.0 -9.0 1.4390000104904175 2.812999963760376
9.100000381469727 9.0 20.872900009155273 20.871200561523438 4.758200168609619 34.012901306152344 23.77739906311035 0.1599999964237213 2.109999895095825 -9.0 -9.0 1.4299999475479126 3.2739999294281006
9.600000381469727 9.5 20.873199462890625 20.871400833129883 4.758800029754639 34.017398834228516 23.780799865722656 0.23800000548362732 1.6759999990463257 -9.0 -9.0 1.4220000505447388 4.120999813079834
10.100000381469727 10.0 20.875 20.87310028076172 4.7596001625061035 34.02190017700195 23.783700942993164 0.18299999833106995 1.4140000343322754 -9.0 -9.0 1.4559999704360962 4.9670000076293945
10.600000381469727 10.5 20.876699447631836 20.87470054626465 4.760300159454346 34.026100158691406 23.786500930786133 0.3479999899864197 1.0490000247955322 -9.0 -9.0 1.4839999675750732 5.000999927520752
11.100000381469727 11.0 20.877399444580078 20.87529945373535 4.7606000900268555 34.02730178833008 23.787200927734375 0.2070000022649765 0.8640000224113464 -9.0 -9.0 1.468999981880188 5.0
11.600000381469727 11.5 20.88089942932129 20.878700256347656 4.761499881744385 34.03219985961914 23.790000915527344 0.052000001072883606 0.3840000033378601 -9.0 -9.0 1.5529999732971191 5.0

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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