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Dataset Title:  "NEGOM CTD - n1l01s01.nc - 29.05N, 89.03W - 1997-11-26" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n1l01s01)
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: 39)
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   39 options
    depth ?  =  m   39 options
    temperature ?  =  degree_C   39 options
    potentialTemperature ?  =  degree_C   39 options
    conductivity ?  =  Siemens per meter   39 options
    salinity ?  =  PSU   39 options
    sigmat ?  =  kg m-3   39 options
    descentRate ?  =  meters per second   39 options
    transmission ?  =  percent   38 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   32 options
    backscattering ?  =  volts   38 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
3.5 3.5 17.727800369262695 17.72719955444336 4.075200080871582 30.847700119018555 22.159900665283203 0.210999995470047 3.1689999103546143 -9.0 -9.0 1.6410000324249268 1.0299999713897705
4.0 4.0 17.697999954223633 17.69729995727539 4.064599990844727 30.78070068359375 22.115800857543945 0.49399998784065247 3.1610000133514404 -9.0 -9.0 1.6430000066757202 1.0130000114440918
4.5 4.5 17.697399139404297 17.696699142456055 4.064000129699707 30.776399612426758 22.112600326538086 0.6650000214576721 3.196000099182129 -9.0 -9.0 1.6469999551773071 1.0190000534057617
5.0 5.0 17.785400390625 17.78459930419922 4.084799766540527 30.885000228881836 22.174800872802734 0.414000004529953 3.2119998931884766 -9.0 -9.0 1.6380000114440918 0.9980000257492065
5.5 5.5 17.802099227905273 17.80120086669922 4.086900234222412 30.88920021057129 22.174100875854492 0.5189999938011169 3.2109999656677246 -9.0 -9.0 1.6260000467300415 0.9860000014305115
6.0 6.0 17.836000442504883 17.834999084472656 4.096499919891357 30.944599151611328 22.20840072631836 0.36500000953674316 3.203000068664551 -9.0 -9.0 1.6260000467300415 0.9819999933242798
6.5 6.5 17.84280014038086 17.841699600219727 4.098800182342529 30.958499908447266 22.21739959716797 0.3070000112056732 3.2309999465942383 -9.0 -9.0 1.621000051498413 0.9739999771118164
7.0 7.0 18.05270004272461 18.05150032043457 4.149099826812744 31.221799850463867 22.368499755859375 0.20600000023841858 3.2720000743865967 -9.0 -9.0 1.6260000467300415 1.0049999952316284
7.599999904632568 7.5 18.271799087524414 18.27050018310547 4.2017998695373535 31.49519920349121 22.52440071105957 0.5220000147819519 3.2880001068115234 -9.0 -9.0 1.6349999904632568 0.9639999866485596
8.100000381469727 8.0 18.293800354003906 18.292400360107422 4.20550012588501 31.509199142456055 22.529699325561523 0.824999988079071 3.2920000553131104 -9.0 -9.0 1.6339999437332153 0.9549999833106995
8.600000381469727 8.5 18.327999114990234 18.326499938964844 4.2129998207092285 31.54599952697754 22.54960060119629 0.925000011920929 3.3269999027252197 -9.0 -9.0 1.6410000324249268 0.8999999761581421
9.100000381469727 9.0 18.334699630737305 18.333200454711914 4.214399814605713 31.552200317382812 22.55270004272461 0.8970000147819519 3.3269999027252197 -9.0 -9.0 1.6540000438690186 0.8410000205039978
9.600000381469727 9.5 18.342899322509766 18.341299057006836 4.21619987487793 31.560199737548828 22.556800842285156 0.7739999890327454 3.3010001182556152 -9.0 -9.0 1.6579999923706055 0.8859999775886536
10.100000381469727 10.0 18.359399795532227 18.35770034790039 4.219799995422363 31.578100204467773 22.566499710083008 0.6019999980926514 3.2860000133514404 -9.0 -9.0 1.6660000085830688 0.9120000004768372
10.600000381469727 10.5 18.372400283813477 18.3705997467041 4.2230000495910645 31.59429931640625 22.5757999420166 0.5230000019073486 3.2170000076293945 -9.0 -9.0 1.6749999523162842 0.9200000166893005
11.100000381469727 11.0 18.401199340820312 18.39929962158203 4.229499816894531 31.626300811767578 22.59309959411621 0.5820000171661377 3.183000087738037 -9.0 -9.0 1.6660000085830688 0.9599999785423279
11.600000381469727 11.5 18.4325008392334 18.430500030517578 4.236400127410889 31.659700393676758 22.611000061035156 0.6990000009536743 3.125 -9.0 -9.0 1.6649999618530273 1.0420000553131104
12.100000381469727 12.0 18.46190071105957 18.459800720214844 4.24429988861084 31.702600479125977 22.636600494384766 0.7929999828338623 3.0280001163482666 -9.0 -9.0 1.6619999408721924 1.1119999885559082
12.600000381469727 12.5 18.495500564575195 18.49340057373047 4.253900051116943 31.756399154663086 22.66950035095215 0.8460000157356262 2.9539999961853027 -9.0 -9.0 1.6640000343322754 1.1959999799728394
13.100000381469727 13.0 18.546600341796875 18.54439926147461 4.270899772644043 31.85849952697754 22.735000610351562 0.859000027179718 2.9600000381469727 -9.0 -9.0 1.6640000343322754 1.2769999504089355
13.600000381469727 13.5 18.600099563598633 18.59779930114746 4.291200160980225 31.98579978942871 22.819000244140625 0.8309999704360962 3.190999984741211 -9.0 -9.0 1.6549999713897705 1.180999994277954
14.100000381469727 14.0 18.674400329589844 18.672000885009766 4.316699981689453 32.14059829711914 22.918899536132812 0.7680000066757202 3.3369998931884766 -9.0 -9.0 1.625 1.0859999656677246
14.600000381469727 14.5 18.70639991760254 18.703899383544922 4.327099800109863 32.20209884643555 22.95789909362793 0.6959999799728394 3.1570000648498535 -9.0 -9.0 1.6019999980926514 1.0049999952316284
15.100000381469727 15.0 18.78820037841797 18.785600662231445 4.354000091552734 32.36159896850586 23.059499740600586 0.652999997138977 2.744999885559082 -9.0 -9.0 1.5809999704360962 1.1039999723434448
15.600000381469727 15.5 18.85759925842285 18.854900360107422 4.377799987792969 32.50469970703125 23.151399612426758 0.5460000038146973 2.4749999046325684 -9.0 -9.0 1.5449999570846558 1.3589999675750732
16.100000381469727 16.0 19.017200469970703 19.014400482177734 4.440499782562256 32.89849853515625 23.412099838256836 0.21199999749660492 2.2750000953674316 -9.0 -9.0 1.4270000457763672 1.6139999628067017
16.600000381469727 16.5 19.24370002746582 19.240699768066406 4.514400005340576 33.329200744628906 23.683500289916992 0.18400000035762787 2.6029999256134033 -9.0 -9.0 1.3350000381469727 1.7039999961853027
17.100000381469727 17.0 19.359500885009766 19.356399536132812 4.545400142669678 33.49190139770508 23.77829933166504 0.36899998784065247 2.7929999828338623 -9.0 -9.0 1.2899999618530273 1.7940000295639038
17.600000381469727 17.5 19.482500076293945 19.479299545288086 4.5767998695373535 33.65119934082031 23.86829948425293 0.4399999976158142 2.9660000801086426 -9.0 -9.0 1.2829999923706055 1.6200000047683716
18.100000381469727 18.0 19.5231990814209 19.519899368286133 4.590799808502197 33.734100341796875 23.92099952697754 0.2800000011920929 3.007999897003174 -9.0 -9.0 1.2599999904632568 1.5210000276565552
18.600000381469727 18.5 19.534700393676758 19.531299591064453 4.594600200653076 33.75510025024414 23.934200286865234 0.48100000619888306 2.999000072479248 -9.0 -9.0 1.2170000076293945 1.5260000228881836
19.100000381469727 19.0 19.52739906311035 19.52400016784668 4.593299865722656 33.75090026855469 23.932899475097656 0.5619999766349792 2.8299999237060547 -9.0 -9.0 1.2239999771118164 1.531000018119812
19.600000381469727 19.5 19.47450065612793 19.47100067138672 4.587600231170654 33.74620056152344 23.942899703979492 0.2849999964237213 2.5859999656677246 -9.0 -9.0 1.222000002861023 1.7020000219345093
20.100000381469727 20.0 19.43429946899414 19.430700302124023 4.583899974822998 33.74769973754883 23.95439910888672 0.25099998712539673 2.378999948501587 -9.0 -9.0 1.2400000095367432 1.8530000448226929
20.600000381469727 20.5 19.42770004272461 19.423999786376953 4.586599826812744 33.77519989013672 23.977100372314453 0.164000004529953 2.263000011444092 -9.0 -9.0 1.2259999513626099 1.878999948501587
21.100000381469727 21.0 19.423900604248047 19.42009925842285 4.587100028991699 33.78229904174805 23.98349952697754 0.15700000524520874 2.1489999294281006 -9.0 -9.0 1.2170000076293945 2.259000062942505
21.600000381469727 21.5 19.422100067138672 19.41819953918457 4.587299823760986 33.785099029541016 23.9862003326416 0.2150000035762787 2.0789999961853027 -9.0 -9.0 1.222000002861023 2.4600000381469727
22.100000381469727 22.0 19.421100616455078 19.41710090637207 4.587500095367432 33.78799819946289 23.98870086669922 0.1899999976158142 1.996000051498413 -9.0 -9.0 1.2519999742507935 2.7330000400543213
22.700000762939453 22.5 19.420900344848633 19.416799545288086 4.587800025939941 33.79050064086914 23.9906005859375 0.11900000274181366 1.9429999589920044 -9.0 -9.0 1.2339999675750732 2.946000099182129

In total, there are 39 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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