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Dataset Title:  "NEGOM CTD - n3l01s01.nc - 29.06N, 89.03W - 1998-00-06" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n3l01s01)
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: 30)
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   30 options
    depth ?  =  m   30 options
    temperature ?  =  degree_C   30 options
    potentialTemperature ?  =  degree_C   30 options
    conductivity ?  =  Siemens per meter   30 options
    salinity ?  =  PSU   30 options
    sigmat ?  =  kg m-3   30 options
    descentRate ?  =  meters per second   27 options
    transmission ?  =  percent   29 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   30 options
    backscattering ?  =  volts   30 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
3.0 3.0 28.999399185180664 28.998699188232422 4.1975998878479 24.715499877929688 14.364100456237793 0.2370000034570694 1.9509999752044678 -9.0 -9.0 2.1029999256134033 1.8739999532699585
3.5 3.5 29.002899169921875 29.002099990844727 4.214700222015381 24.826000213623047 14.445599555969238 0.27399998903274536 1.9600000381469727 -9.0 -9.0 2.1110000610351562 1.8279999494552612
4.0 4.0 29.014699935913086 29.0137996673584 4.2565999031066895 25.093599319458008 14.64169979095459 0.36899998784065247 1.9789999723434448 -9.0 -9.0 2.114000082015991 1.7949999570846558
4.5 4.5 29.034700393676758 29.033599853515625 4.294400215148926 25.331300735473633 14.812800407409668 0.4699999988079071 2.0 -9.0 -9.0 2.1050000190734863 1.7599999904632568
5.0 5.0 29.11280059814453 29.111600875854492 4.395400047302246 25.952699661254883 15.251700401306152 0.453000009059906 2.059000015258789 -9.0 -9.0 2.0889999866485596 1.7059999704360962
5.5 5.5 29.101999282836914 29.10070037841797 4.390600204467773 25.92690086364746 15.236000061035156 0.367000013589859 2.0920000076293945 -9.0 -9.0 2.069999933242798 1.6579999923706055
6.0 6.0 29.055500030517578 29.054100036621094 4.421899795532227 26.15730094909668 15.423199653625488 0.34599998593330383 2.178999900817871 -9.0 -9.0 2.0480000972747803 1.6640000343322754
6.5 6.5 29.082199096679688 29.08060073852539 4.580399990081787 27.18869972229004 16.18549919128418 0.4300000071525574 2.312000036239624 -9.0 -9.0 2.002000093460083 1.6430000066757202
7.0 7.0 28.968700408935547 28.966999053955078 4.634500026702881 27.612199783325195 16.539199829101562 0.47699999809265137 2.4100000858306885 -9.0 -9.0 1.9670000076293945 1.5609999895095825
7.599999904632568 7.5 28.961700439453125 28.95989990234375 4.6579999923706055 27.772600173950195 16.661399841308594 0.39899998903274536 2.497999906539917 -9.0 -9.0 1.9229999780654907 1.5180000066757202
8.100000381469727 8.0 28.98270034790039 28.98080062866211 4.683599948883057 27.930599212646484 16.77280044555664 0.3199999928474426 2.578000068664551 -9.0 -9.0 1.8739999532699585 1.4869999885559082
8.600000381469727 8.5 28.82469940185547 28.82270050048828 4.794300079345703 28.763599395751953 17.447599411010742 0.4519999921321869 2.6640000343322754 -9.0 -9.0 1.8309999704360962 1.4359999895095825
9.100000381469727 9.0 28.68440055847168 28.682300567626953 4.8302001953125 29.089000701904297 17.736900329589844 0.5040000081062317 2.7039999961853027 -9.0 -9.0 1.812000036239624 1.3359999656677246
9.600000381469727 9.5 28.678600311279297 28.676300048828125 4.827400207519531 29.073999404907227 17.72760009765625 0.4059999883174896 2.7339999675750732 -9.0 -9.0 1.7999999523162842 1.2829999923706055
10.100000381469727 10.0 28.681299209594727 28.67889976501465 4.8256001472473145 29.059900283813477 17.716100692749023 0.2529999911785126 2.755000114440918 -9.0 -9.0 1.7970000505447388 1.3029999732971191
10.600000381469727 10.5 28.66069984436035 28.658199310302734 4.827700138092041 29.086700439453125 17.742900848388672 0.19499999284744263 2.7699999809265137 -9.0 -9.0 1.7860000133514404 1.3009999990463257
11.100000381469727 11.0 28.63800048828125 28.635400772094727 4.831900119781494 29.12820053100586 17.781400680541992 0.18000000715255737 2.7730000019073486 -9.0 -9.0 1.7890000343322754 1.2799999713897705
11.600000381469727 11.5 28.631500244140625 28.628799438476562 4.832499980926514 29.136199951171875 17.789600372314453 0.26100000739097595 2.7699999809265137 -9.0 -9.0 1.7829999923706055 1.3070000410079956
12.100000381469727 12.0 28.62700080871582 28.62420082092285 4.832900047302246 29.141399383544922 17.795000076293945 0.2070000022649765 2.759000062942505 -9.0 -9.0 1.781999945640564 1.277999997138977
12.600000381469727 12.5 28.592500686645508 28.589500427246094 4.83050012588501 29.146699905395508 17.810199737548828 0.25999999046325684 2.740999937057495 -9.0 -9.0 1.7799999713897705 1.3109999895095825
13.100000381469727 13.0 28.561800003051758 28.558700561523438 4.829599857330322 29.159099578857422 17.82939910888672 0.19599999487400055 2.7049999237060547 -9.0 -9.0 1.7760000228881836 1.3639999628067017
13.600000381469727 13.5 28.347200393676758 28.3439998626709 4.841400146484375 29.370800018310547 18.0575008392334 0.3089999854564667 2.630000114440918 -9.0 -9.0 1.7549999952316284 1.3619999885559082
14.100000381469727 14.0 27.396299362182617 27.39310073852539 4.927999973297119 30.568700790405273 19.26020050048828 0.25 2.5169999599456787 -9.0 -9.0 1.6829999685287476 1.5140000581741333
14.600000381469727 14.5 26.8356990814209 26.832399368286133 4.97160005569458 31.24410057067871 19.944400787353516 0.2370000034570694 2.638000011444092 -9.0 -9.0 1.5880000591278076 1.527999997138977
15.100000381469727 15.0 25.95050048828125 25.947200775146484 5.0721001625061035 32.571998596191406 21.2189998626709 0.2070000022649765 2.76200008392334 -9.0 -9.0 1.5460000038146973 1.5410000085830688
15.600000381469727 15.5 25.25589942932129 25.252500534057617 5.120299816131592 33.42409896850586 22.07430076599121 0.18700000643730164 2.9830000400543213 -9.0 -9.0 1.472000002861023 1.5449999570846558
16.100000381469727 16.0 25.1112003326416 25.10770034790039 5.129199981689453 33.59669876098633 22.24850082397461 0.17900000512599945 2.881999969482422 -9.0 -9.0 1.434999942779541 1.4470000267028809
16.600000381469727 16.5 24.941099166870117 24.9375 5.143599987030029 33.829200744628906 22.475500106811523 0.19499999284744263 3.0450000762939453 -9.0 -9.0 1.4220000505447388 1.3669999837875366
17.100000381469727 17.0 24.87310028076172 24.869400024414062 5.143700122833252 33.880699157714844 22.53499984741211 0.19200000166893005 3.072999954223633 -9.0 -9.0 1.378000020980835 1.3079999685287476
17.600000381469727 17.5 24.731399536132812 24.72760009765625 5.144599914550781 33.993900299072266 22.663299560546875 0.09799999743700027 3.061000108718872 -9.0 -9.0 1.3930000066757202 1.2130000591278076

In total, there are 30 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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