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Dataset Title:  "NEGOM CTD - n2l05s03.nc - 30.2N, 86.65W - 1998-05-13" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n2l05s03)
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: 49)
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   49 options
    depth ?  =  m   49 options
    temperature ?  =  degree_C   48 options
    potentialTemperature ?  =  degree_C   49 options
    conductivity ?  =  Siemens per meter   42 options
    salinity ?  =  PSU   49 options
    sigmat ?  =  kg m-3   49 options
    descentRate ?  =  meters per second   44 options
    transmission ?  =  percent   41 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   47 options
    backscattering ?  =  volts   37 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
3.0 3.0 24.357799530029297 24.357200622558594 4.313000202178955 28.14550018310547 18.358600616455078 0.10300000011920929 4.298999786376953 -9.0 -9.0 1.1749999523162842 0.09600000083446503
3.5 3.5 24.0762996673584 24.075599670410156 4.365499973297119 28.706899642944336 18.863399505615234 0.30399999022483826 4.285999774932861 -9.0 -9.0 1.1610000133514404 0.10100000351667404
4.0 4.0 23.93829917907715 23.9375 4.389699935913086 28.973499298095703 19.104299545288086 0.4129999876022339 4.263000011444092 -9.0 -9.0 1.2070000171661377 0.12399999797344208
4.5 4.5 23.882099151611328 23.881200790405273 4.399600028991699 29.083200454711914 19.20330047607422 0.4359999895095825 4.263000011444092 -9.0 -9.0 1.2339999675750732 0.12600000202655792
5.0 5.0 23.77120018005371 23.770200729370117 4.417200088500977 29.28510093688965 19.38759994506836 0.3880000114440918 4.2779998779296875 -9.0 -9.0 1.246999979019165 0.1289999932050705
5.5 5.5 23.70479965209961 23.703699111938477 4.427299976348877 29.40369987487793 19.4960994720459 0.37700000405311584 4.254000186920166 -9.0 -9.0 1.2760000228881836 0.12999999523162842
6.0 6.0 23.432300567626953 23.431100845336914 4.469900131225586 29.90239906311035 19.9507999420166 0.38999998569488525 4.257999897003174 -9.0 -9.0 1.305999994277954 0.14399999380111694
6.5 6.5 23.009899139404297 23.00860023498535 4.531199932098389 30.65250015258789 20.637699127197266 0.3529999852180481 4.238999843597412 -9.0 -9.0 1.3370000123977661 0.1599999964237213
7.0 7.0 22.619199752807617 22.617799758911133 4.5868000984191895 31.35059928894043 21.276100158691406 0.35600000619888306 4.159999847412109 -9.0 -9.0 1.3860000371932983 0.17100000381469727
7.599999904632568 7.5 22.403499603271484 22.402000427246094 4.627600193023682 31.81909942626953 21.6914005279541 0.43700000643730164 4.139999866485596 -9.0 -9.0 1.4179999828338623 0.18400000035762787
8.100000381469727 8.0 22.25200080871582 22.25040054321289 4.6479997634887695 32.087100982666016 21.936800003051758 0.4909999966621399 4.135000228881836 -9.0 -9.0 1.4270000457763672 0.18299999833106995
8.600000381469727 8.5 21.915000915527344 21.913299560546875 4.655399799346924 32.394798278808594 22.263500213623047 0.46700000762939453 4.138999938964844 -9.0 -9.0 1.437000036239624 0.18299999833106995
9.100000381469727 9.0 21.565099716186523 21.563400268554688 4.65310001373291 32.64030075073242 22.54599952697754 0.42899999022483826 4.171000003814697 -9.0 -9.0 1.4700000286102295 0.1720000058412552
9.600000381469727 9.5 21.332199096679688 21.330400466918945 4.64769983291626 32.77439880371094 22.711299896240234 0.45899999141693115 4.184000015258789 -9.0 -9.0 1.4800000190734863 0.15399999916553497
10.100000381469727 10.0 21.22170066833496 21.21980094909668 4.654600143432617 32.91389846801758 22.847400665283203 0.4959999918937683 4.203999996185303 -9.0 -9.0 1.4789999723434448 0.15199999511241913
10.600000381469727 10.5 21.22130012512207 21.21929931640625 4.679699897766113 33.11309814453125 22.998899459838867 0.4959999918937683 4.214000225067139 -9.0 -9.0 1.4780000448226929 0.15600000321865082
11.100000381469727 11.0 21.26449966430664 21.262399673461914 4.714000225067139 33.35070037841797 23.167800903320312 0.47099998593330383 4.211999893188477 -9.0 -9.0 1.4780000448226929 0.15700000524520874
11.600000381469727 11.5 20.91860008239746 20.916400909423828 4.702199935913086 33.527099609375 23.39550018310547 0.4519999921321869 4.206999778747559 -9.0 -9.0 1.4700000286102295 0.15700000524520874
12.100000381469727 12.0 20.595300674438477 20.593000411987305 4.689700126647949 33.68239974975586 23.600400924682617 0.45399999618530273 4.2170000076293945 -9.0 -9.0 1.5 0.1720000058412552
12.600000381469727 12.5 20.264699935913086 20.262399673461914 4.689700126647949 33.9463005065918 23.88909912109375 0.46299999952316284 4.183000087738037 -9.0 -9.0 1.5870000123977661 0.21299999952316284
13.100000381469727 13.0 20.062400817871094 20.059999465942383 4.69980001449585 34.19179916381836 24.129600524902344 0.47600001096725464 4.105000019073486 -9.0 -9.0 1.7000000476837158 0.24300000071525574
13.600000381469727 13.5 19.87929916381836 19.876800537109375 4.703700065612793 34.372798919677734 24.31570053100586 0.4909999966621399 4.015999794006348 -9.0 -9.0 1.7949999570846558 0.27399998903274536
14.100000381469727 14.0 19.79450035095215 19.791900634765625 4.703999996185303 34.444698333740234 24.3927001953125 0.4729999899864197 3.9820001125335693 -9.0 -9.0 1.8519999980926514 0.27300000190734863
14.600000381469727 14.5 19.67490005493164 19.672199249267578 4.705699920654297 34.55659866333008 24.509300231933594 0.42800000309944153 3.9670000076293945 -9.0 -9.0 1.8960000276565552 0.27300000190734863
15.100000381469727 15.0 19.463899612426758 19.461200714111328 4.710100173950195 34.76850128173828 24.725799560546875 0.4099999964237213 3.927999973297119 -9.0 -9.0 1.902999997138977 0.24500000476837158
15.600000381469727 15.5 19.3927001953125 19.38990020751953 4.7108001708984375 34.83319854736328 24.79360008239746 0.45899999141693115 3.930999994277954 -9.0 -9.0 1.8860000371932983 0.21799999475479126
16.100000381469727 16.0 19.273500442504883 19.270599365234375 4.714099884033203 34.959999084472656 24.921199798583984 0.5170000195503235 3.986999988555908 -9.0 -9.0 1.8680000305175781 0.19499999284744263
16.600000381469727 16.5 19.038799285888672 19.03580093383789 4.730199813842773 35.293399810791016 25.236299514770508 0.5239999890327454 4.046999931335449 -9.0 -9.0 1.8329999446868896 0.1720000058412552
17.100000381469727 17.0 18.918899536132812 18.9158992767334 4.748600006103516 35.54990005493164 25.46310043334961 0.4790000021457672 4.099999904632568 -9.0 -9.0 1.7890000343322754 0.13899999856948853
17.600000381469727 17.5 18.89940071105957 18.896299362182617 4.760499954223633 35.666500091552734 25.557199478149414 0.4259999990463257 4.159999847412109 -9.0 -9.0 1.7769999504089355 0.1379999965429306
18.100000381469727 18.0 18.820600509643555 18.817399978637695 4.776899814605713 35.872798919677734 25.735200881958008 0.43700000643730164 4.178999900817871 -9.0 -9.0 1.6820000410079956 0.14300000667572021
18.600000381469727 18.5 18.79290008544922 18.789600372314453 4.780700206756592 35.929100036621094 25.78529930114746 0.4869999885559082 4.206999778747559 -9.0 -9.0 1.63100004196167 0.14800000190734863
19.100000381469727 19.0 18.743499755859375 18.740100860595703 4.787600040435791 36.029598236083984 25.874799728393555 0.5189999938011169 4.23799991607666 -9.0 -9.0 1.6069999933242798 0.1379999965429306
19.600000381469727 19.5 18.70829963684082 18.70479965209961 4.78980016708374 36.079200744628906 25.92180061340332 0.5009999871253967 4.248000144958496 -9.0 -9.0 1.5570000410079956 0.1420000046491623
20.100000381469727 20.0 18.68709945678711 18.683500289916992 4.789899826049805 36.09809875488281 25.941699981689453 0.46299999952316284 4.270999908447266 -9.0 -9.0 1.4500000476837158 0.14800000190734863
20.600000381469727 20.5 18.679800033569336 18.67609977722168 4.790599822998047 36.11009979248047 25.952699661254883 0.453000009059906 4.27400016784668 -9.0 -9.0 1.3949999809265137 0.15399999916553497
21.100000381469727 21.0 18.671899795532227 18.66819953918457 4.790999889373779 36.12080001831055 25.96299934387207 0.48399999737739563 4.26800012588501 -9.0 -9.0 1.347000002861023 0.1509999930858612
21.600000381469727 21.5 18.663700103759766 18.659900665283203 4.791200160980225 36.12929916381836 25.971599578857422 0.48100000619888306 4.28000020980835 -9.0 -9.0 1.3329999446868896 0.14800000190734863
22.100000381469727 22.0 18.65220069885254 18.648300170898438 4.791200160980225 36.13930130004883 25.982099533081055 0.4819999933242798 4.2829999923706055 -9.0 -9.0 1.3539999723434448 0.1589999943971634
22.700000762939453 22.5 18.64459991455078 18.640600204467773 4.791299819946289 36.14649963378906 25.989599227905273 0.5070000290870667 4.2829999923706055 -9.0 -9.0 1.343999981880188 0.164000004529953
23.200000762939453 23.0 18.635799407958984 18.63170051574707 4.791299819946289 36.15420150756836 25.997800827026367 0.5120000243186951 4.2820000648498535 -9.0 -9.0 1.371999979019165 0.16899999976158142
23.700000762939453 23.5 18.633800506591797 18.629600524902344 4.791399955749512 36.15629959106445 25.999900817871094 0.4620000123977661 4.284999847412109 -9.0 -9.0 1.3380000591278076 0.1720000058412552
24.200000762939453 24.0 18.630199432373047 18.625900268554688 4.791399955749512 36.15959930419922 26.003299713134766 0.41200000047683716 4.28000020980835 -9.0 -9.0 1.2910000085830688 0.17599999904632568
24.700000762939453 24.5 18.629600524902344 18.625200271606445 4.791500091552734 36.160099029541016 26.003999710083008 0.4020000100135803 4.276000022888184 -9.0 -9.0 1.2799999713897705 0.16200000047683716
25.200000762939453 25.0 18.62980079650879 18.62540054321289 4.791500091552734 36.160499572753906 26.004199981689453 0.2630000114440918 4.2769999504089355 -9.0 -9.0 1.2769999504089355 0.16699999570846558
25.700000762939453 25.5 18.635400772094727 18.63089942932129 4.7916998863220215 36.15660095214844 25.999799728393555 0.16899999976158142 4.271999835968018 -9.0 -9.0 1.2719999551773071 0.1720000058412552
26.200000762939453 26.0 18.637800216674805 18.63319969177246 4.7916998863220215 36.154598236083984 25.997699737548828 0.27300000190734863 4.2779998779296875 -9.0 -9.0 1.2519999742507935 0.1679999977350235
26.700000762939453 26.5 18.635799407958984 18.631099700927734 4.7916998863220215 36.15589904785156 25.999300003051758 0.17399999499320984 4.2769999504089355 -9.0 -9.0 1.2730000019073486 0.16699999570846558
27.200000762939453 27.0 18.634599685668945 18.62980079650879 4.791600227355957 36.15639877319336 26.0 0.13699999451637268 4.2769999504089355 -9.0 -9.0 1.2999999523162842 0.17900000512599945

In total, there are 49 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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