Metocean: Historical collections
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Dataset Title: | "LATEX CTD - d94h132.nc - 27.24N, 97.16W - 1994-05-04" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: latex_d94h132) |
Information: | Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | Make a graph |
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.
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.
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.