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Dataset Title:  "LATEX CTD - d94h132.nc - 27.24N, 97.16W - 1994-05-04" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94h132)
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: 43)
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   43 options
    depth ?  =  m   43 options
    temperature ?  =  degree_C   42 options
    potentialTemperature ?  =  degree_C   42 options
    conductivity ?  =  Siemens per meter   35 options
    salinity ?  =  PSU   42 options
    sigmat ?  =  kg m-3   42 options
    descentRate ?  =  meters per second   40 options
    transmission ?  =  percent   42 options
    par ?  =  umol m-2 s-1   27 options
    parv ?  =  volts   28 options
    fluorescence ?  =  volts   38 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
2.5 2.5 22.105600357055664 22.105199813842773 4.480800151824951 30.908599853515625 21.08489990234375 0.3840000033378601 3.7980000972747803 13.0 1.444000005722046 0.3709999918937683 0.14900000393390656
3.0 3.0 22.133800506591797 22.13330078125 4.481100082397461 30.891000747680664 21.063899993896484 0.4020000100135803 3.812999963760376 11.399999618530273 1.3890000581741333 0.39800000190734863 0.13600000739097595
3.5 3.5 22.133699417114258 22.132999420166016 4.481100082397461 30.890600204467773 21.063600540161133 0.5559999942779541 3.815000057220459 9.920000076293945 1.3279999494552612 0.3840000033378601 0.14499999582767487
4.0 4.0 22.12310028076172 22.122299194335938 4.4807000160217285 30.895099639892578 21.06999969482422 0.3619999885559082 3.825000047683716 8.460000038146973 1.2589999437332153 0.3970000147819519 0.13600000739097595
4.5 4.5 22.12540054321289 22.124500274658203 4.4807000160217285 30.893699645996094 21.068300247192383 0.2919999957084656 3.822999954223633 7.539999961853027 1.2089999914169312 0.3919999897480011 0.1340000033378601
5.0 5.0 22.12689971923828 22.125900268554688 4.480899810791016 30.893400192260742 21.067699432373047 0.5440000295639038 3.8259999752044678 6.239999771118164 1.1269999742507935 0.4059999883174896 0.13899999856948853
5.5 5.5 22.122800827026367 22.121700286865234 4.4807000160217285 30.894699096679688 21.069799423217773 0.6729999780654907 3.821000099182129 5.110000133514404 1.0399999618530273 0.4009999930858612 0.14000000059604645
6.0 6.0 22.12470054626465 22.123600006103516 4.480599880218506 30.892900466918945 21.06800079345703 0.5070000290870667 3.8259999752044678 4.28000020980835 0.9629999995231628 0.4009999930858612 0.1379999965429306
6.5 6.5 22.12579917907715 22.12459945678711 4.4807000160217285 30.8927001953125 21.06760025024414 0.4699999988079071 3.8239998817443848 3.859999895095825 0.9179999828338623 0.4180000126361847 0.13600000739097595
7.0 7.0 22.125900268554688 22.124500274658203 4.480800151824951 30.892900466918945 21.067699432373047 0.8059999942779541 3.8320000171661377 3.190000057220459 0.8349999785423279 0.3959999978542328 0.13600000739097595
7.599999904632568 7.5 22.130699157714844 22.12929916381836 4.4807000160217285 30.888999938964844 21.063499450683594 0.8159999847412109 3.8299999237060547 2.740000009536743 0.7689999938011169 0.4009999930858612 0.1340000033378601
8.100000381469727 8.0 22.123600006103516 22.122100830078125 4.480800151824951 30.893999099731445 21.06920051574707 0.597000002861023 3.799999952316284 2.4100000858306885 0.7139999866485596 0.3930000066757202 0.13300000131130219
8.600000381469727 8.5 22.087499618530273 22.085800170898438 4.480899810791016 30.920799255371094 21.09950065612793 0.8960000276565552 3.7660000324249268 2.0 0.6330000162124634 0.36500000953674316 0.14300000667572021
9.100000381469727 9.0 22.017200469970703 22.015399932861328 4.4816999435424805 30.9768009185791 21.161300659179688 0.7300000190734863 3.75600004196167 1.7599999904632568 0.5759999752044678 0.3619999885559082 0.1420000046491623
9.600000381469727 9.5 21.980899810791016 21.979000091552734 4.483500003814697 31.016399383544922 21.2012996673584 0.460999995470047 3.696000099182129 1.649999976158142 0.5490000247955322 0.33000001311302185 0.14300000667572021
10.100000381469727 10.0 21.92970085144043 21.927799224853516 4.487400054931641 31.08300018310547 21.265899658203125 0.43799999356269836 3.5769999027252197 1.4900000095367432 0.5040000081062317 0.3109999895095825 0.13699999451637268
10.600000381469727 10.5 21.925500869750977 21.923500061035156 4.4934000968933105 31.132400512695312 21.304500579833984 0.2720000147819519 3.609999895095825 1.2999999523162842 0.44600000977516174 0.3240000009536743 0.16500000655651093
11.100000381469727 11.0 21.92300033569336 21.920900344848633 4.4969000816345215 31.16080093383789 21.326799392700195 0.23600000143051147 3.6480000019073486 1.1699999570846558 0.39899998903274536 0.25999999046325684 0.17900000512599945
11.600000381469727 11.5 21.923599243164062 21.92140007019043 4.498199939727783 31.170299530029297 21.333799362182617 0.3840000033378601 3.6440000534057617 1.059999942779541 0.3580000102519989 0.26600000262260437 0.19599999487400055
12.100000381469727 12.0 21.924299240112305 21.922000885009766 4.4994001388549805 31.17919921875 21.34040069580078 0.4650000035762787 3.6410000324249268 0.9100000262260437 0.2919999957084656 0.2709999978542328 0.20000000298023224
12.600000381469727 12.5 21.923500061035156 21.921100616455078 4.501100063323975 31.1924991607666 21.350799560546875 0.30799999833106995 3.630000114440918 0.8299999833106995 0.24899999797344208 0.27900001406669617 0.1899999976158142
13.100000381469727 13.0 21.92020034790039 21.917699813842773 4.503900051116943 31.21649932861328 21.36989974975586 0.4350000023841858 3.5910000801086426 0.75 0.2070000022649765 0.2630000114440918 0.1889999955892563
13.600000381469727 13.5 21.916900634765625 21.9143009185791 4.50439977645874 31.22249984741211 21.37540054321289 0.37400001287460327 3.5399999618530273 0.6600000262260437 0.15299999713897705 0.2529999911785126 0.19900000095367432
14.100000381469727 14.0 21.910999298095703 21.908199310302734 4.508399963378906 31.258100509643555 21.40399932861328 0.31700000166893005 3.48799991607666 0.6200000047683716 0.12099999934434891 0.2770000100135803 0.2199999988079071
14.600000381469727 14.5 21.90559959411621 21.902799606323242 4.513400077819824 31.300100326538086 21.437400817871094 0.42500001192092896 3.440000057220459 0.5600000023841858 0.08299999684095383 0.29899999499320984 0.23199999332427979
15.100000381469727 15.0 21.90369987487793 21.900800704956055 4.515100002288818 31.314599990844727 21.44890022277832 0.34599998593330383 3.4130001068115234 0.5 0.028999999165534973 0.328000009059906 0.23999999463558197
15.600000381469727 15.5 21.900400161743164 21.89739990234375 4.518499851226807 31.34320068359375 21.471599578857422 0.5950000286102295 3.38700008392334 0.4699999988079071 0.0020000000949949026 0.2759999930858612 0.23899999260902405
16.100000381469727 16.0 21.897899627685547 21.894800186157227 4.523799896240234 31.38629913330078 21.504899978637695 0.6740000247955322 3.3489999771118164 0.4699999988079071 0.0 0.2939999997615814 0.2540000081062317
16.600000381469727 16.5 21.90329933166504 21.899999618530273 4.529699802398682 31.427900314331055 21.53499984741211 0.4690000116825104 3.2960000038146973 0.4699999988079071 0.0 0.28600001335144043 0.26100000739097595
17.100000381469727 17.0 21.903400421142578 21.900100708007812 4.533400058746338 31.456100463867188 21.556499481201172 0.5740000009536743 3.2980000972747803 0.4699999988079071 0.0 0.2720000147819519 0.25099998712539673
17.600000381469727 17.5 21.90250015258789 21.899099349975586 4.535200119018555 31.47100067138672 21.56800079345703 0.4699999988079071 3.299999952316284 0.4699999988079071 0.0 0.2809999883174896 0.2680000066757202
18.100000381469727 18.0 21.903200149536133 21.899700164794922 4.535399913787842 31.471599578857422 21.568300247192383 0.2199999988079071 3.3359999656677246 0.4699999988079071 0.0 0.2800000011920929 0.2709999978542328
18.600000381469727 18.5 21.90489959716797 21.90130043029785 4.5391998291015625 31.49959945678711 21.589099884033203 0.2770000100135803 3.3259999752044678 0.4699999988079071 0.0 0.30799999833106995 0.26600000262260437
19.100000381469727 19.0 21.90690040588379 21.903200149536133 4.5416998863220215 31.517200469970703 21.601999282836914 0.44600000977516174 3.3310000896453857 0.4699999988079071 0.0 0.30799999833106995 0.2639999985694885
19.600000381469727 19.5 21.90839958190918 21.904600143432617 4.542799949645996 31.524999618530273 21.607500076293945 0.5139999985694885 3.3540000915527344 0.4699999988079071 0.0 0.296999990940094 0.2770000100135803
20.100000381469727 20.0 21.91080093383789 21.90690040588379 4.54449987411499 31.53619956970215 21.615299224853516 0.38600000739097595 3.359999895095825 0.4699999988079071 0.0 0.296999990940094 0.26499998569488525
20.600000381469727 20.5 21.912399291992188 21.90839958190918 4.5457000732421875 31.54400062561035 21.620800018310547 0.5669999718666077 3.368000030517578 0.4699999988079071 0.0 0.26899999380111694 0.26899999380111694
21.100000381469727 21.0 21.913000106811523 21.908899307250977 4.546899795532227 31.552499771118164 21.627099990844727 0.5260000228881836 3.378000020980835 0.4699999988079071 0.0 0.28600001335144043 0.257999986410141
21.600000381469727 21.5 21.91390037536621 21.909700393676758 4.547500133514404 31.556900024414062 21.630199432373047 0.289000004529953 3.378999948501587 0.4699999988079071 0.0 0.29100000858306885 0.24899999797344208
22.100000381469727 22.0 21.91670036315918 21.912399291992188 4.549699783325195 31.571199417114258 21.640300750732422 0.375 3.4000000953674316 0.4699999988079071 0.0 0.28299999237060547 0.25699999928474426
22.700000762939453 22.5 21.918399810791016 21.914100646972656 4.55079984664917 31.57900047302246 21.64590072631836 0.5669999718666077 3.4179999828338623 0.4699999988079071 0.0 0.2680000066757202 0.257999986410141
23.200000762939453 23.0 21.917699813842773 21.91320037841797 4.551799774169922 31.587099075317383 21.65220069885254 0.4819999933242798 3.4189999103546143 0.4699999988079071 0.0 0.2590000033378601 0.2529999911785126
23.700000762939453 23.5 21.91670036315918 21.912099838256836 4.5528998374938965 31.596099853515625 21.659299850463867 0.3869999945163727 3.4260001182556152 0.4699999988079071 0.0 0.2619999945163727 0.25600001215934753

In total, there are 43 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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