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Dataset Title:  "NEGOM CTD - n9l08s03.nc - 29.4N, 85.0W - 2000-00-04" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n9l08s03)
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: 38)
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   38 options
    depth ?  =  m   38 options
    temperature ?  =  degree_C   30 options
    potentialTemperature ?  =  degree_C   29 options
    conductivity ?  =  Siemens per meter   15 options
    salinity ?  =  PSU   16 options
    sigmat ?  =  kg m-3   22 options
    descentRate ?  =  meters per second   36 options
    transmission ?  =  percent   31 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   31 options
    backscattering ?  =  volts   28 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
2.5 2.5 29.64929962158203 29.648700714111328 5.944900035858154 36.0 22.596099853515625 0.061000000685453415 4.040999889373779 -9.0 -9.0 1.3270000219345093 0.2750000059604645
3.0 3.0 29.650999069213867 29.650299072265625 5.945700168609619 36.00389862060547 22.598499298095703 0.33000001311302185 4.041999816894531 -9.0 -9.0 1.3279999494552612 0.2709999978542328
3.5 3.5 29.65130043029785 29.650400161743164 5.945700168609619 36.00379943847656 22.59830093383789 0.34200000762939453 4.040999889373779 -9.0 -9.0 1.3200000524520874 0.27399998903274536
4.0 4.0 29.649099349975586 29.648099899291992 5.9456000328063965 36.00419998168945 22.59939956665039 0.3100000023841858 4.040999889373779 -9.0 -9.0 1.3070000410079956 0.2529999911785126
4.5 4.5 29.649999618530273 29.64889907836914 5.945700168609619 36.00400161743164 22.599000930786133 0.5590000152587891 4.039999961853027 -9.0 -9.0 1.3040000200271606 0.25200000405311584
5.0 5.0 29.652700424194336 29.651500701904297 5.946000099182129 36.00400161743164 22.598100662231445 0.5239999890327454 4.040999889373779 -9.0 -9.0 1.3049999475479126 0.2639999985694885
5.5 5.5 29.65489959716797 29.653499603271484 5.946199893951416 36.00389862060547 22.597299575805664 0.34200000762939453 4.043000221252441 -9.0 -9.0 1.3359999656677246 0.26100000739097595
6.0 6.0 29.660499572753906 29.659000396728516 5.946800231933594 36.003501892089844 22.595199584960938 0.3869999945163727 4.034999847412109 -9.0 -9.0 1.3070000410079956 0.25699999928474426
6.5 6.5 29.660400390625 29.65880012512207 5.946800231933594 36.003700256347656 22.595399856567383 0.49399998784065247 4.007999897003174 -9.0 -9.0 1.3559999465942383 0.2840000092983246
7.0 7.0 29.660999298095703 29.659299850463867 5.946899890899658 36.00339889526367 22.594999313354492 0.492000013589859 4.013999938964844 -9.0 -9.0 1.3580000400543213 0.3109999895095825
7.599999904632568 7.5 29.660499572753906 29.658599853515625 5.946899890899658 36.00339889526367 22.595199584960938 0.3269999921321869 4.01800012588501 -9.0 -9.0 1.3309999704360962 0.3400000035762787
8.100000381469727 8.0 29.659700393676758 29.657699584960938 5.946899890899658 36.00389862060547 22.59589958190918 0.3840000033378601 4.035999774932861 -9.0 -9.0 1.312999963760376 0.328000009059906
8.600000381469727 8.5 29.660600662231445 29.65850067138672 5.947000026702881 36.00379943847656 22.595600128173828 0.5989999771118164 3.990999937057495 -9.0 -9.0 1.3209999799728394 0.2980000078678131
9.100000381469727 9.0 29.659700393676758 29.657499313354492 5.946899890899658 36.00389862060547 22.59600067138672 0.6039999723434448 4.014999866485596 -9.0 -9.0 1.3669999837875366 0.2540000081062317
9.600000381469727 9.5 29.659400939941406 29.656999588012695 5.946899890899658 36.00389862060547 22.596099853515625 0.3529999852180481 4.021999835968018 -9.0 -9.0 1.378000020980835 0.25999999046325684
10.100000381469727 10.0 29.65959930419922 29.657100677490234 5.947000026702881 36.004398345947266 22.596500396728516 0.33899998664855957 4.038000106811523 -9.0 -9.0 1.3739999532699585 0.2669999897480011
10.600000381469727 10.5 29.661300659179688 29.658700942993164 5.947199821472168 36.00419998168945 22.595800399780273 0.5170000195503235 4.017000198364258 -9.0 -9.0 1.3380000591278076 0.2619999945163727
11.100000381469727 11.0 29.661500930786133 29.65880012512207 5.947199821472168 36.00419998168945 22.595800399780273 0.4699999988079071 3.996000051498413 -9.0 -9.0 1.319000005722046 0.2709999978542328
11.600000381469727 11.5 29.661399841308594 29.65850067138672 5.947299957275391 36.00429916381836 22.59589958190918 0.42100000381469727 4.014999866485596 -9.0 -9.0 1.3079999685287476 0.2800000011920929
12.100000381469727 12.0 29.661399841308594 29.65839958190918 5.947299957275391 36.00429916381836 22.59600067138672 0.4650000035762787 4.014999866485596 -9.0 -9.0 1.315000057220459 0.27900001406669617
12.600000381469727 12.5 29.66069984436035 29.65760040283203 5.947199821472168 36.00389862060547 22.59589958190918 0.42899999022483826 4.025000095367432 -9.0 -9.0 1.3179999589920044 0.27300000190734863
13.100000381469727 13.0 29.66349983215332 29.66029930114746 5.947400093078613 36.003501892089844 22.59469985961914 0.3109999895095825 4.043000221252441 -9.0 -9.0 1.315999984741211 0.2669999897480011
13.600000381469727 13.5 29.664199829101562 29.66080093383789 5.9475998878479 36.00360107421875 22.594600677490234 0.4090000092983246 4.031000137329102 -9.0 -9.0 1.3799999952316284 0.2709999978542328
14.100000381469727 14.0 29.664100646972656 29.660600662231445 5.947500228881836 36.00339889526367 22.594499588012695 0.5220000147819519 4.015999794006348 -9.0 -9.0 1.3669999837875366 0.2619999945163727
14.600000381469727 14.5 29.664400100708008 29.66080093383789 5.9475998878479 36.00360107421875 22.594600677490234 0.49000000953674316 4.033999919891357 -9.0 -9.0 1.3609999418258667 0.29899999499320984
15.100000381469727 15.0 29.6643009185791 29.660600662231445 5.9475998878479 36.003700256347656 22.59469985961914 0.335999995470047 4.0229997634887695 -9.0 -9.0 1.3370000123977661 0.289000004529953
15.600000381469727 15.5 29.664400100708008 29.660600662231445 5.947700023651123 36.00360107421875 22.59469985961914 0.27399998903274536 4.0329999923706055 -9.0 -9.0 1.3270000219345093 0.257999986410141
16.100000381469727 16.0 29.6643009185791 29.66029930114746 5.9475998878479 36.003299713134766 22.594600677490234 0.32600000500679016 4.035999774932861 -9.0 -9.0 1.3559999465942383 0.2709999978542328
16.600000381469727 16.5 29.664600372314453 29.660499572753906 5.947700023651123 36.00360107421875 22.59469985961914 0.4230000078678131 3.992000102996826 -9.0 -9.0 1.343000054359436 0.2639999985694885
17.100000381469727 17.0 29.66469955444336 29.660499572753906 5.947800159454346 36.003501892089844 22.59469985961914 0.45500001311302185 4.0370001792907715 -9.0 -9.0 1.340000033378601 0.2849999964237213
17.600000381469727 17.5 29.66469955444336 29.660400390625 5.947800159454346 36.003700256347656 22.59480094909668 0.28200000524520874 4.0289998054504395 -9.0 -9.0 1.3300000429153442 0.2669999897480011
18.100000381469727 18.0 29.664400100708008 29.659900665283203 5.947800159454346 36.00389862060547 22.59510040283203 0.30300000309944153 4.039000034332275 -9.0 -9.0 1.309999942779541 0.24899999797344208
18.600000381469727 18.5 29.66230010986328 29.657699584960938 5.947500228881836 36.00339889526367 22.595500946044922 0.49000000953674316 4.051000118255615 -9.0 -9.0 1.3070000410079956 0.2639999985694885
19.100000381469727 19.0 29.66029930114746 29.65559959411621 5.947299957275391 36.00320053100586 22.596099853515625 0.421999990940094 3.99399995803833 -9.0 -9.0 1.3240000009536743 0.2800000011920929
19.600000381469727 19.5 29.660499572753906 29.65570068359375 5.947400093078613 36.003299713134766 22.596099853515625 0.2669999897480011 4.013000011444092 -9.0 -9.0 1.3170000314712524 0.2750000059604645
20.100000381469727 20.0 29.66119956970215 29.656200408935547 5.947400093078613 36.00310134887695 22.595800399780273 0.25699999928474426 4.020999908447266 -9.0 -9.0 1.315999984741211 0.2879999876022339
20.600000381469727 20.5 29.66080093383789 29.65570068359375 5.947400093078613 36.00279998779297 22.595699310302734 0.36800000071525574 4.000999927520752 -9.0 -9.0 1.315999984741211 0.28999999165534973
21.100000381469727 21.0 29.66010093688965 29.65489959716797 5.947299957275391 36.00270080566406 22.59600067138672 0.06599999964237213 4.006999969482422 -9.0 -9.0 1.2769999504089355 0.38100001215934753

In total, there are 38 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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