Metocean: Historical collections
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Dataset Title: | "LATEX CTD - d94j099.nc - 28.71N, 94.67W - 1994-11-08" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: latex_d94j099) |
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 |
2.0 | 2.0 | 24.882099151611328 | 24.88159942626953 | 5.0630998611450195 | 33.28779983520508 | 22.085399627685547 | 0.2720000147819519 | 4.324999809265137 | 1280.0 | 3.246999979019165 | 1.0470000505447388 | 0.03099999949336052 |
2.5 | 2.5 | 24.86590003967285 | 24.865400314331055 | 5.061500072479248 | 33.287498474121094 | 22.09000015258789 | 0.3709999918937683 | 4.320000171661377 | 1110.0 | 3.184000015258789 | 0.9559999704360962 | 0.03200000151991844 |
3.0 | 3.0 | 24.858800888061523 | 24.858200073242188 | 5.060800075531006 | 33.28739929199219 | 22.092100143432617 | 0.33799999952316284 | 4.323999881744385 | 1040.0 | 3.1559998989105225 | 1.003999948501587 | 0.03400000184774399 |
3.5 | 3.5 | 24.855300903320312 | 24.85460090637207 | 5.060500144958496 | 33.28730010986328 | 22.093000411987305 | 0.3330000042915344 | 4.322999954223633 | 940.0 | 3.111999988555908 | 1.024999976158142 | 0.032999999821186066 |
4.0 | 4.0 | 24.848899841308594 | 24.848100662231445 | 5.059800148010254 | 33.28710174560547 | 22.09480094909668 | 0.2919999957084656 | 4.324999809265137 | 940.0 | 3.111999988555908 | 1.0160000324249268 | 0.03400000184774399 |
4.5 | 4.5 | 24.8518009185791 | 24.850799560546875 | 5.060100078582764 | 33.28730010986328 | 22.094200134277344 | 0.3269999921321869 | 4.323999881744385 | 798.0 | 3.0409998893737793 | 1.0080000162124634 | 0.03400000184774399 |
5.0 | 5.0 | 24.814699172973633 | 24.813600540161133 | 5.056600093841553 | 33.28820037841797 | 22.10610008239746 | 0.3140000104904175 | 4.320000171661377 | 738.0 | 3.006999969482422 | 1.0010000467300415 | 0.03400000184774399 |
5.5 | 5.5 | 24.789499282836914 | 24.788299560546875 | 5.053999900817871 | 33.28770065307617 | 22.11319923400879 | 0.41999998688697815 | 4.322999954223633 | 652.0 | 2.953000068664551 | 1.0149999856948853 | 0.03799999877810478 |
6.0 | 6.0 | 24.736799240112305 | 24.73550033569336 | 5.048900127410889 | 33.28889846801758 | 22.1299991607666 | 0.43799999356269836 | 4.322000026702881 | 619.0 | 2.930999994277954 | 1.0119999647140503 | 0.03400000184774399 |
6.5 | 6.5 | 24.707199096679688 | 24.705799102783203 | 5.04610013961792 | 33.28950119018555 | 22.139299392700195 | 0.3009999990463257 | 4.318999767303467 | 634.0 | 2.940999984741211 | 1.0329999923706055 | 0.04600000008940697 |
7.0 | 7.0 | 24.695100784301758 | 24.693599700927734 | 5.045100212097168 | 33.29079818725586 | 22.143999099731445 | 0.46700000762939453 | 4.317999839782715 | 574.0 | 2.8980000019073486 | 1.065999984741211 | 0.03500000014901161 |
7.599999904632568 | 7.5 | 24.68720054626465 | 24.68560028076172 | 5.04449987411499 | 33.29240036010742 | 22.147600173950195 | 0.5350000262260437 | 4.318999767303467 | 472.0 | 2.812999963760376 | 1.0880000591278076 | 0.04100000113248825 |
8.100000381469727 | 8.0 | 24.681400299072266 | 24.67959976196289 | 5.044099807739258 | 33.2932014465332 | 22.149999618530273 | 0.33000001311302185 | 4.317999839782715 | 405.0 | 2.746000051498413 | 1.0920000076293945 | 0.032999999821186066 |
8.600000381469727 | 8.5 | 24.67770004272461 | 24.675899505615234 | 5.044000148773193 | 33.29499816894531 | 22.15250015258789 | 0.33000001311302185 | 4.316999912261963 | 419.0 | 2.760999917984009 | 1.0839999914169312 | 0.03799999877810478 |
9.100000381469727 | 9.0 | 24.674400329589844 | 24.672500610351562 | 5.044000148773193 | 33.29719924926758 | 22.155099868774414 | 0.3529999852180481 | 4.311999797821045 | 430.0 | 2.7730000019073486 | 1.152999997138977 | 0.03500000014901161 |
9.600000381469727 | 9.5 | 24.672399520874023 | 24.670400619506836 | 5.044099807739258 | 33.29930114746094 | 22.157400131225586 | 0.3569999933242798 | 4.314000129699707 | 373.0 | 2.7109999656677246 | 1.1089999675750732 | 0.03500000014901161 |
10.100000381469727 | 10.0 | 24.670900344848633 | 24.668699264526367 | 5.044400215148926 | 33.30270004272461 | 22.160400390625 | 0.41200000047683716 | 4.310999870300293 | 384.0 | 2.7230000495910645 | 1.1069999933242798 | 0.035999998450279236 |
10.600000381469727 | 10.5 | 24.671100616455078 | 24.668899536132812 | 5.0447998046875 | 33.305599212646484 | 22.162599563598633 | 0.33799999952316284 | 4.308000087738037 | 356.0 | 2.690999984741211 | 1.121999979019165 | 0.039000000804662704 |
11.100000381469727 | 11.0 | 24.67099952697754 | 24.668699264526367 | 5.045300006866455 | 33.30929946899414 | 22.1653995513916 | 0.32600000500679016 | 4.303999900817871 | 318.0 | 2.6410000324249268 | 1.125 | 0.03700000047683716 |
11.600000381469727 | 11.5 | 24.673200607299805 | 24.670700073242188 | 5.046199798583984 | 33.3135986328125 | 22.167999267578125 | 0.3779999911785126 | 4.301000118255615 | 336.0 | 2.6659998893737793 | 1.1490000486373901 | 0.03799999877810478 |
12.100000381469727 | 12.0 | 24.676000595092773 | 24.67340087890625 | 5.046999931335449 | 33.31760025024414 | 22.170299530029297 | 0.3330000042915344 | 4.298999786376953 | 308.0 | 2.627000093460083 | 1.194000005722046 | 0.039000000804662704 |
12.600000381469727 | 12.5 | 24.681400299072266 | 24.678699493408203 | 5.048299789428711 | 33.323299407958984 | 22.17300033569336 | 0.3619999885559082 | 4.289999961853027 | 278.0 | 2.5829999446868896 | 1.2089999914169312 | 0.03999999910593033 |
13.100000381469727 | 13.0 | 24.688199996948242 | 24.685400009155273 | 5.049900054931641 | 33.32979965209961 | 22.175899505615234 | 0.41600000858306885 | 4.2870001792907715 | 262.0 | 2.556999921798706 | 1.2400000095367432 | 0.04100000113248825 |
13.600000381469727 | 13.5 | 24.69580078125 | 24.692899703979492 | 5.051499843597412 | 33.33580017089844 | 22.178199768066406 | 0.3230000138282776 | 4.284999847412109 | 239.0 | 2.5169999599456787 | 1.2799999713897705 | 0.052000001072883606 |
14.100000381469727 | 14.0 | 24.70170021057129 | 24.698699951171875 | 5.052800178527832 | 33.34120178222656 | 22.180599212646484 | 0.4169999957084656 | 4.2729997634887695 | 233.0 | 2.50600004196167 | 1.2280000448226929 | 0.04399999976158142 |
14.600000381469727 | 14.5 | 24.709999084472656 | 24.706899642944336 | 5.054500102996826 | 33.34749984741211 | 22.182899475097656 | 0.6520000100135803 | 4.263000011444092 | 227.0 | 2.496000051498413 | 1.2259999513626099 | 0.04399999976158142 |
15.100000381469727 | 15.0 | 24.715999603271484 | 24.71269989013672 | 5.055799961090088 | 33.35219955444336 | 22.184600830078125 | 0.6029999852180481 | 4.261000156402588 | 214.0 | 2.4690001010894775 | 1.2419999837875366 | 0.04399999976158142 |
15.600000381469727 | 15.5 | 24.722900390625 | 24.719600677490234 | 5.05679988861084 | 33.35409927368164 | 22.184099197387695 | 0.328000009059906 | 4.260000228881836 | 194.0 | 2.427000045776367 | 1.2630000114440918 | 0.04399999976158142 |
16.100000381469727 | 16.0 | 24.727399826049805 | 24.723899841308594 | 5.05810022354126 | 33.36069869995117 | 22.187700271606445 | 0.375 | 4.26200008392334 | 197.0 | 2.433000087738037 | 1.2669999599456787 | 0.04399999976158142 |
16.600000381469727 | 16.5 | 24.73940086364746 | 24.73590087890625 | 5.060699939727783 | 33.37049865722656 | 22.191499710083008 | 0.42800000309944153 | 4.261000156402588 | 176.0 | 2.384000062942505 | 1.2869999408721924 | 0.04699999839067459 |
17.100000381469727 | 17.0 | 24.754899978637695 | 24.75119972229004 | 5.063899993896484 | 33.382999420166016 | 22.196399688720703 | 0.421999990940094 | 4.224999904632568 | 171.0 | 2.371999979019165 | 1.3049999475479126 | 0.04699999839067459 |
17.600000381469727 | 17.5 | 24.78499984741211 | 24.781299591064453 | 5.070400238037109 | 33.408199310302734 | 22.20639991760254 | 0.34599998593330383 | 4.258999824523926 | 163.0 | 2.3499999046325684 | 1.3040000200271606 | 0.04899999871850014 |
18.100000381469727 | 18.0 | 24.832500457763672 | 24.82859992980957 | 5.08050012588501 | 33.447601318359375 | 22.221900939941406 | 0.2280000001192093 | 4.256999969482422 | 155.0 | 2.3289999961853027 | 1.312999963760376 | 0.05000000074505806 |
18.600000381469727 | 18.5 | 24.890899658203125 | 24.886899948120117 | 5.091400146484375 | 33.485198974609375 | 22.232799530029297 | 0.36000001430511475 | 4.24399995803833 | 153.0 | 2.325000047683716 | 1.3250000476837158 | 0.054999999701976776 |
19.100000381469727 | 19.0 | 24.948999404907227 | 24.944900512695312 | 5.103300094604492 | 33.52920150756836 | 22.24850082397461 | 0.5019999742507935 | 4.216000080108643 | 141.0 | 2.2890000343322754 | 1.3389999866485596 | 0.06599999964237213 |
19.600000381469727 | 19.5 | 24.93280029296875 | 24.928600311279297 | 5.1016998291015625 | 33.52920150756836 | 22.25349998474121 | 0.45500001311302185 | 4.183000087738037 | 135.0 | 2.2699999809265137 | 1.36899995803833 | 0.07800000160932541 |
20.100000381469727 | 20.0 | 24.90220069885254 | 24.89780044555664 | 5.0980000495910645 | 33.52479934692383 | 22.2593994140625 | 0.2800000011920929 | 4.1539998054504395 | 128.0 | 2.246999979019165 | 1.3980000019073486 | 0.0820000022649765 |
20.600000381469727 | 20.5 | 24.87380027770996 | 24.869400024414062 | 5.095300197601318 | 33.525699615478516 | 22.268699645996094 | 0.4309999942779541 | 4.103000164031982 | 123.0 | 2.2279999256134033 | 1.4190000295639038 | 0.07800000160932541 |
21.100000381469727 | 21.0 | 24.861499786376953 | 24.85700035095215 | 5.096499919891357 | 33.54330062866211 | 22.28569984436035 | 0.5270000100135803 | 4.10099983215332 | 116.0 | 2.2049999237060547 | 1.4550000429153442 | 0.0820000022649765 |
21.600000381469727 | 21.5 | 24.861900329589844 | 24.8572998046875 | 5.098499774932861 | 33.55820083618164 | 22.296899795532227 | 0.32899999618530273 | 4.085999965667725 | 105.0 | 2.1619999408721924 | 1.4989999532699585 | 0.1120000034570694 |
22.100000381469727 | 22.0 | 24.8617000579834 | 24.85689926147461 | 5.099999904632568 | 33.56869888305664 | 22.304899215698242 | 0.3499999940395355 | 3.878000020980835 | 104.0 | 2.1549999713897705 | 1.5390000343322754 | 0.14000000059604645 |
22.700000762939453 | 22.5 | 24.861400604248047 | 24.85650062561035 | 5.10099983215332 | 33.576698303222656 | 22.311100006103516 | 0.3240000009536743 | 3.869999885559082 | 97.30000305175781 | 2.127000093460083 | 1.5950000286102295 | 0.17299999296665192 |
23.200000762939453 | 23.0 | 24.861499786376953 | 24.85650062561035 | 5.101099967956543 | 33.576900482177734 | 22.311199188232422 | 0.25699999928474426 | 3.7320001125335693 | 92.19999694824219 | 2.1040000915527344 | 1.593000054359436 | 0.18799999356269836 |
23.700000762939453 | 23.5 | 24.861600875854492 | 24.85650062561035 | 5.101500034332275 | 33.58000183105469 | 22.313600540161133 | 0.35499998927116394 | 3.624000072479248 | 89.0999984741211 | 2.0889999866485596 | 1.6089999675750732 | 0.20000000298023224 |
In total, there are 44 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.