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Dataset Title:  "NEGOM CTD - n6l02s01.nc - 29.66N, 88.69W - 1999-00-18" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n6l02s01)
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   29 options
    potentialTemperature ?  =  degree_C   30 options
    conductivity ?  =  Siemens per meter   27 options
    salinity ?  =  PSU   29 options
    sigmat ?  =  kg m-3   30 options
    descentRate ?  =  meters per second   28 options
    transmission ?  =  percent   27 options
    par ?  =  umol m-2 s-1   30 options
    parv ?  =  volts   30 options
    fluorescence ?  =  volts   29 options
    backscattering ?  =  volts   27 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 30.069900512695312 30.069299697875977 5.340700149536133 31.632600784301758 19.180599212646484 0.06499999761581421 4.010000228881836 190.39999389648438 2.5829999446868896 1.597000002861023 0.6589999794960022
3.0 3.0 30.068700790405273 30.06800079345703 5.340400218963623 31.631099700927734 19.18000030517578 0.32100000977516174 4.00600004196167 137.0 2.436000108718872 1.6019999980926514 0.671999990940094
3.5 3.5 30.067899703979492 30.066999435424805 5.3403000831604 31.630599975585938 19.179899215698242 0.3580000102519989 4.005000114440918 111.19999694824219 2.3440001010894775 1.6319999694824219 0.7319999933242798
4.0 4.0 30.067899703979492 30.0669002532959 5.340400218963623 31.631000518798828 19.180299758911133 0.20800000429153442 4.005000114440918 98.55000305175781 2.2909998893737793 1.659000039100647 0.7940000295639038
4.5 4.5 30.066600799560547 30.065500259399414 5.3403000831604 31.63129997253418 19.180999755859375 0.41999998688697815 4.000999927520752 78.88999938964844 2.196000099182129 1.684999942779541 0.8130000233650208
5.0 5.0 30.066299438476562 30.065099716186523 5.340400218963623 31.632200241088867 19.181699752807617 0.32899999618530273 4.000999927520752 67.80999755859375 2.128999948501587 1.690999984741211 0.8220000267028809
5.5 5.5 30.0664005279541 30.065000534057617 5.3404998779296875 31.632200241088867 19.181800842285156 0.20200000703334808 4.002999782562256 59.36000061035156 2.072999954223633 1.6779999732971191 0.8320000171661377
6.0 6.0 30.07229995727539 30.07080078125 5.341700077056885 31.636499404907227 19.183000564575195 0.3449999988079071 4.006999969482422 53.08000183105469 2.0239999294281006 1.6729999780654907 0.8360000252723694
6.5 6.5 30.07469940185547 30.07309913635254 5.343400001525879 31.64579963684082 19.189199447631836 0.3580000102519989 4.01800012588501 45.959999084472656 1.9620000123977661 1.6629999876022339 0.8370000123977661
7.0 7.0 30.094600677490234 30.092899322509766 5.3491997718811035 31.67180061340332 19.20199966430664 0.2370000034570694 4.072999954223633 40.380001068115234 1.9049999713897705 1.5779999494552612 0.8320000171661377
7.599999904632568 7.5 30.10300064086914 30.10110092163086 5.3607001304626465 31.742599487304688 19.252099990844727 0.2750000059604645 4.084000110626221 35.459999084472656 1.8489999771118164 1.5299999713897705 0.8330000042915344
8.100000381469727 8.0 30.10070037841797 30.09869956970215 5.374300003051758 31.834299087524414 19.32159996032715 0.37400001287460327 4.105999946594238 30.440000534057617 1.781999945640564 1.5010000467300415 0.7689999938011169
8.600000381469727 8.5 30.050899505615234 30.048799514770508 5.382599830627441 31.92180061340332 19.403900146484375 0.26899999380111694 4.109000205993652 26.190000534057617 1.7170000076293945 1.4700000286102295 0.7369999885559082
9.100000381469727 9.0 29.682300567626953 29.680099487304688 5.426400184631348 32.459598541259766 19.930999755859375 0.23999999463558197 4.105000019073486 22.579999923706055 1.652999997138977 1.4479999542236328 0.7319999933242798
9.600000381469727 9.5 29.22800064086914 29.22570037841797 5.481500148773193 33.1416015625 20.59429931640625 0.3569999933242798 4.110000133514404 19.899999618530273 1.5980000495910645 1.440000057220459 0.7289999723434448
10.100000381469727 10.0 29.137399673461914 29.135000228881836 5.49560022354126 33.29999923706055 20.74329948425293 0.2800000011920929 4.110000133514404 17.049999237060547 1.5299999713897705 1.4520000219345093 0.7260000109672546
10.600000381469727 10.5 28.811100006103516 28.8085994720459 5.525100231170654 33.73099899291992 21.175199508666992 0.24400000274181366 4.117000102996826 15.260000228881836 1.4830000400543213 1.4529999494552612 0.7310000061988831
11.100000381469727 11.0 28.17620086669922 28.173599243164062 5.560699939727783 34.432701110839844 21.911399841308594 0.3160000145435333 4.156000137329102 13.4399995803833 1.4270000457763672 1.4470000267028809 0.7300000190734863
11.600000381469727 11.5 27.063600540161133 27.06089973449707 5.536600112915039 35.08810043334961 22.76460075378418 0.2919999957084656 4.189000129699707 12.220000267028809 1.3860000371932983 1.4119999408721924 0.7419999837875366
12.100000381469727 12.0 25.95599937438965 25.95330047607422 5.478099822998047 35.51340103149414 23.435300827026367 0.28700000047683716 4.176000118255615 11.199999809265137 1.3480000495910645 1.3819999694824219 0.7369999885559082
12.600000381469727 12.5 25.143400192260742 25.14069938659668 5.428599834442139 35.78580093383789 23.89229965209961 0.22499999403953552 3.937999963760376 10.329999923706055 1.312999963760376 1.3300000429153442 0.7490000128746033
13.100000381469727 13.0 24.74850082397461 24.74570083618164 5.405099868774414 35.924400329589844 24.117399215698242 0.33799999952316284 3.6670000553131104 9.949999809265137 1.2970000505447388 1.319000005722046 0.7699999809265137
13.600000381469727 13.5 24.648099899291992 24.645200729370117 5.398600101470947 35.95539855957031 24.171300888061523 0.3319999873638153 3.385999917984009 9.260000228881836 1.2660000324249268 1.3480000495910645 0.8159999847412109
14.100000381469727 14.0 24.557100296020508 24.554100036621094 5.392499923706055 35.982398986816406 24.21929931640625 0.19300000369548798 3.2170000076293945 8.670000076293945 1.2369999885559082 1.3739999532699585 0.8410000205039978
14.600000381469727 14.5 24.497800827026367 24.494699478149414 5.388500213623047 36.00019836425781 24.250699996948242 0.17599999904632568 3.0940001010894775 7.829999923706055 1.1929999589920044 1.3700000047683716 0.8759999871253967
15.100000381469727 15.0 24.467899322509766 24.46470069885254 5.386600017547607 36.009498596191406 24.266799926757812 0.18700000643730164 2.9860000610351562 6.929999828338623 1.1399999856948853 1.3639999628067017 0.8859999775886536
15.600000381469727 15.5 24.45199966430664 24.448699951171875 5.385700225830078 36.01499938964844 24.275800704956055 0.26499998569488525 2.947999954223633 6.150000095367432 1.0880000591278076 1.3739999532699585 0.8799999952316284
16.100000381469727 16.0 24.417800903320312 24.414400100708008 5.383200168609619 36.02370071411133 24.292600631713867 0.15800000727176666 2.9619998931884766 5.320000171661377 1.0240000486373901 1.3600000143051147 0.8619999885559082
16.600000381469727 16.5 24.385799407958984 24.382200241088867 5.38070011138916 36.03020095825195 24.307199478149414 0.23999999463558197 2.941999912261963 4.510000228881836 0.9539999961853027 1.3519999980926514 0.8500000238418579
17.100000381469727 17.0 24.34760093688965 24.343900680541992 5.377299785614014 36.035701751708984 24.322900772094727 0.1420000046491623 2.808000087738037 3.7200000286102295 0.8709999918937683 1.371000051498413 0.8560000061988831

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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