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Dataset Title:  "NEGOM CTD - n4l02s00.nc - 29.79N, 88.75W - 1998-11-23" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n4l02s00)
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: 21)
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   21 options
    depth ?  =  m   21 options
    temperature ?  =  degree_C   20 options
    potentialTemperature ?  =  degree_C   20 options
    conductivity ?  =  Siemens per meter   19 options
    salinity ?  =  PSU   20 options
    sigmat ?  =  kg m-3   21 options
    descentRate ?  =  meters per second   19 options
    transmission ?  =  percent   19 options
    par ?  =  umol m-2 s-1   21 options
    parv ?  =  volts   21 options
    fluorescence ?  =  volts   18 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
2.5 2.5 21.81760025024414 21.817100524902344 4.865099906921387 34.11309814453125 23.594999313354492 0.32499998807907104 2.072999954223633 1429.0 3.433000087738037 1.253000020980835 2.309000015258789
3.0 3.0 21.822200775146484 21.82159996032715 4.865499973297119 34.11259841918945 23.593299865722656 0.421999990940094 2.069000005722046 931.2999877929688 3.2669999599456787 1.2549999952316284 2.372999906539917
3.5 3.5 21.829599380493164 21.828899383544922 4.866199970245361 34.112300872802734 23.590999603271484 0.25 2.0829999446868896 649.2999877929688 3.1110000610351562 1.2760000228881836 2.3369998931884766
4.0 4.0 21.828699111938477 21.827899932861328 4.866199970245361 34.11259841918945 23.59160041809082 0.48399999737739563 2.0829999446868896 516.2999877929688 3.010999917984009 1.2799999713897705 2.368000030517578
4.5 4.5 21.80120086669922 21.80030059814453 4.863900184631348 34.11589813232422 23.601699829101562 0.4259999990463257 2.0929999351501465 372.70001220703125 2.868000030517578 1.2970000505447388 2.3269999027252197
5.0 5.0 21.811500549316406 21.81049919128418 4.864799976348877 34.11470031738281 23.597999572753906 0.26899999380111694 2.0810000896453857 303.79998779296875 2.7820000648498535 1.3049999475479126 2.321000099182129
5.5 5.5 21.811500549316406 21.810400009155273 4.864799976348877 34.114898681640625 23.59819984436035 0.4259999990463257 2.0810000896453857 204.10000610351562 2.6029999256134033 1.2920000553131104 2.4149999618530273
6.0 6.0 21.78059959411621 21.779399871826172 4.861700057983398 34.114601135253906 23.60650062561035 0.2759999930858612 2.0959999561309814 143.6999969482422 2.4560000896453857 1.2970000505447388 2.325000047683716
6.5 6.5 21.620100021362305 21.618799209594727 4.843599796295166 34.0989990234375 23.63909912109375 0.28299999237060547 2.0899999141693115 119.4000015258789 2.372999906539917 1.3509999513626099 2.3480000495910645
7.0 7.0 21.53350067138672 21.532100677490234 4.833700180053711 34.08879852294922 23.65519905090332 0.4350000023841858 1.9809999465942383 91.80000305175781 2.26200008392334 1.4700000286102295 2.3359999656677246
7.599999904632568 7.5 21.462299346923828 21.460800170898438 4.826200008392334 34.08580017089844 23.672500610351562 0.5210000276565552 1.8890000581741333 66.05999755859375 2.115999937057495 1.4709999561309814 2.4040000438690186
8.100000381469727 8.0 21.447799682617188 21.446199417114258 4.824900150299072 34.08689880371094 23.67729949951172 0.33399999141693115 1.8919999599456787 45.130001068115234 1.9529999494552612 1.4240000247955322 2.575000047683716
8.600000381469727 8.5 21.443899154663086 21.44219970703125 4.824999809265137 34.09040069580078 23.681100845336914 0.503000020980835 1.9459999799728394 34.5099983215332 1.8350000381469727 1.3819999694824219 2.507999897003174
9.100000381469727 9.0 21.411699295043945 21.40999984741211 4.823200225830078 34.10179901123047 23.69860076904297 0.460999995470047 1.9270000457763672 26.950000762939453 1.7289999723434448 1.3589999675750732 2.677999973297119
9.600000381469727 9.5 21.425100326538086 21.42329978942871 4.827899932861328 34.128501892089844 23.715299606323242 0.40400001406669617 1.8179999589920044 20.920000076293945 1.61899995803833 1.3389999866485596 2.8359999656677246
10.100000381469727 10.0 21.46269989013672 21.460800170898438 4.840099811553955 34.19459915161133 23.755300521850586 0.4749999940395355 1.7330000400543213 16.469999313354492 1.5140000581741333 1.3370000123977661 2.9049999713897705
10.600000381469727 10.5 21.5044002532959 21.502399444580078 4.849800109863281 34.23830032348633 23.777099609375 0.19900000095367432 1.6619999408721924 11.109999656677246 1.3380000591278076 1.3270000219345093 2.930000066757202
11.100000381469727 11.0 21.488300323486328 21.4862003326416 4.845300197601318 34.2150993347168 23.7637996673584 0.24500000476837158 1.1759999990463257 7.829999923706055 1.1920000314712524 1.3329999446868896 3.0859999656677246
11.600000381469727 11.5 21.535600662231445 21.53339958190918 4.855999946594238 34.26190185546875 23.786399841308594 0.26899999380111694 0.3799999952316284 5.960000038146973 1.0750000476837158 1.3329999446868896 4.035999774932861
12.100000381469727 12.0 21.560400009155273 21.5580997467041 4.86269998550415 34.29570007324219 23.805299758911133 0.23000000417232513 0.3700000047683716 4.190000057220459 0.9160000085830688 1.3289999961853027 4.7210001945495605
12.600000381469727 12.5 21.53529930114746 21.532899856567383 4.855100154876709 34.254600524902344 23.7810001373291 0.04899999871850014 0.25 2.180000066757202 0.6549999713897705 1.3370000123977661 5.0

In total, there are 21 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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