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Dataset Title:  "NEGOM CTD - n7l09s03.nc - 29.34N, 83.86W - 1999-11-20" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n7l09s03)
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: 28)
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   28 options
    depth ?  =  m   28 options
    temperature ?  =  degree_C   28 options
    potentialTemperature ?  =  degree_C   27 options
    conductivity ?  =  Siemens per meter   26 options
    salinity ?  =  PSU   28 options
    sigmat ?  =  kg m-3   23 options
    descentRate ?  =  meters per second   28 options
    transmission ?  =  percent   14 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   25 options
    backscattering ?  =  volts   21 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
2.0 2.0 21.385799407958984 21.385400772094727 5.045000076293945 35.891700744628906 25.066999435424805 0.1420000046491623 4.230999946594238 -9.0 -9.0 1.225000023841858 0.1509999930858612
2.5 2.5 21.385000228881836 21.38450050354004 5.044899940490723 35.89189910888672 25.067399978637695 0.2669999897480011 4.236999988555908 -9.0 -9.0 1.246000051498413 0.13699999451637268
3.0 3.0 21.38800048828125 21.387399673461914 5.045300006866455 35.892398834228516 25.066999435424805 0.2280000001192093 4.228000164031982 -9.0 -9.0 1.2419999837875366 0.12200000137090683
3.5 3.5 21.391399383544922 21.39069938659668 5.04580020904541 35.89350128173828 25.0669002532959 0.24500000476837158 4.23199987411499 -9.0 -9.0 1.25600004196167 0.14399999380111694
4.0 4.0 21.389400482177734 21.388599395751953 5.045499801635742 35.892601013183594 25.06679916381836 0.29499998688697815 4.230999946594238 -9.0 -9.0 1.2829999923706055 0.13699999451637268
4.5 4.5 21.384300231933594 21.383399963378906 5.044899940490723 35.8916015625 25.0674991607666 0.2720000147819519 4.234000205993652 -9.0 -9.0 1.253999948501587 0.12999999523162842
5.0 5.0 21.380599975585938 21.379600524902344 5.044300079345703 35.889801025390625 25.067100524902344 0.4169999957084656 4.232999801635742 -9.0 -9.0 1.253999948501587 0.13300000131130219
5.5 5.5 21.382200241088867 21.381099700927734 5.044600009918213 35.89039993286133 25.06719970703125 0.24300000071525574 4.234000205993652 -9.0 -9.0 1.2619999647140503 0.1340000033378601
6.0 6.0 21.378599166870117 21.377399444580078 5.044099807739258 35.889198303222656 25.06730079650879 0.23600000143051147 4.239999771118164 -9.0 -9.0 1.24399995803833 0.12700000405311584
6.5 6.5 21.37339973449707 21.372100830078125 5.043600082397461 35.88930130004883 25.068899154663086 0.2980000078678131 4.235000133514404 -9.0 -9.0 1.2059999704360962 0.1289999932050705
7.0 7.0 21.376100540161133 21.37470054626465 5.043900012969971 35.889400482177734 25.068199157714844 0.3149999976158142 4.236000061035156 -9.0 -9.0 1.222000002861023 0.1289999932050705
7.599999904632568 7.5 21.395099639892578 21.393600463867188 5.046599864959717 35.895198822021484 25.067399978637695 0.2160000056028366 4.2270002365112305 -9.0 -9.0 1.2610000371932983 0.13300000131130219
8.100000381469727 8.0 21.42060089111328 21.41900062561035 5.050600051879883 35.905799865722656 25.06839942932129 0.35499998927116394 4.232999801635742 -9.0 -9.0 1.2589999437332153 0.13500000536441803
8.600000381469727 8.5 21.425199508666992 21.423500061035156 5.051400184631348 35.907501220703125 25.068500518798828 0.2770000100135803 4.235000133514404 -9.0 -9.0 1.2309999465942383 0.13699999451637268
9.100000381469727 9.0 21.418399810791016 21.41659927368164 5.050300121307373 35.904300689697266 25.06800079345703 0.18799999356269836 4.23799991607666 -9.0 -9.0 1.2089999914169312 0.14399999380111694
9.600000381469727 9.5 21.4242000579834 21.422300338745117 5.051199913024902 35.90700149536133 25.06839942932129 0.3050000071525574 4.224999904632568 -9.0 -9.0 1.1759999990463257 0.14100000262260437
10.100000381469727 10.0 21.416400909423828 21.414400100708008 5.049900054931641 35.90290069580078 25.0674991607666 0.375 4.241000175476074 -9.0 -9.0 1.2139999866485596 0.13899999856948853
10.600000381469727 10.5 21.41950035095215 21.417400360107422 5.05049991607666 35.90480041503906 25.068099975585938 0.20999999344348907 4.235000133514404 -9.0 -9.0 1.246999979019165 0.14000000059604645
11.100000381469727 11.0 21.44099998474121 21.438800811767578 5.054200172424316 35.916099548339844 25.07080078125 0.3370000123977661 4.234000205993652 -9.0 -9.0 1.2209999561309814 0.14000000059604645
11.600000381469727 11.5 21.452899932861328 21.450599670410156 5.05620002746582 35.92169952392578 25.071800231933594 0.32199999690055847 4.230000019073486 -9.0 -9.0 1.2410000562667847 0.15299999713897705
12.100000381469727 12.0 21.452999114990234 21.450599670410156 5.05620002746582 35.921600341796875 25.071699142456055 0.21899999678134918 4.23199987411499 -9.0 -9.0 1.2120000123977661 0.15299999713897705
12.600000381469727 12.5 21.45319938659668 21.450700759887695 5.056300163269043 35.92190170288086 25.0718994140625 0.2460000067949295 4.235000133514404 -9.0 -9.0 1.2619999647140503 0.15199999511241913
13.100000381469727 13.0 21.455299377441406 21.452699661254883 5.056600093841553 35.92290115356445 25.072099685668945 0.3240000009536743 4.23199987411499 -9.0 -9.0 1.3109999895095825 0.1550000011920929
13.600000381469727 13.5 21.456600189208984 21.45400047302246 5.0569000244140625 35.923500061035156 25.07229995727539 0.2370000034570694 4.23199987411499 -9.0 -9.0 1.2489999532699585 0.16200000047683716
14.100000381469727 14.0 21.456100463867188 21.453399658203125 5.05679988861084 35.92300033569336 25.07200050354004 0.23499999940395355 4.232999801635742 -9.0 -9.0 1.2300000190734863 0.17100000381469727
14.600000381469727 14.5 21.458799362182617 21.45599937438965 5.057300090789795 35.924400329589844 25.072399139404297 0.26499998569488525 4.234000205993652 -9.0 -9.0 1.2209999561309814 0.17499999701976776
15.100000381469727 15.0 21.45789909362793 21.454999923706055 5.057000160217285 35.92279815673828 25.071500778198242 0.32499998807907104 4.236000061035156 -9.0 -9.0 1.2769999504089355 0.1589999943971634
15.600000381469727 15.5 21.44610023498535 21.443099975585938 5.055200099945068 35.91859817504883 25.071500778198242 0.10000000149011612 4.23199987411499 -9.0 -9.0 1.2350000143051147 0.14300000667572021

In total, there are 28 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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