Metocean: Historical collections
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Dataset Title: | "LATEX CTD - d93f109.nc - 28.66N, 94.0W - 1993-08-01" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: latex_d93f109) |
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 | 29.77669906616211 | 29.776100158691406 | 5.47189998626709 | 32.708499908447266 | 20.087499618530273 | 0.029999999329447746 | 4.425000190734863 | 33.900001525878906 | 1.819000005722046 | 1.0509999990463257 | -9.0 |
3.0 | 3.0 | 29.727500915527344 | 29.726699829101562 | 5.5345001220703125 | 33.163299560546875 | 20.444799423217773 | 0.42399999499320984 | 4.413000106811523 | 30.100000381469727 | 1.7669999599456787 | 1.0540000200271606 | -9.0 |
3.5 | 3.5 | 29.71500015258789 | 29.71419906616211 | 5.538700103759766 | 33.199798583984375 | 20.47640037536621 | 0.41200000047683716 | 4.419000148773193 | 25.799999237060547 | 1.7000000476837158 | 1.065999984741211 | -9.0 |
4.0 | 4.0 | 29.70789909362793 | 29.706899642944336 | 5.538000106811523 | 33.20000076293945 | 20.479000091552734 | 0.5669999718666077 | 4.435999870300293 | 25.200000762939453 | 1.6890000104904175 | 1.0240000486373901 | -9.0 |
4.5 | 4.5 | 29.706499099731445 | 29.705400466918945 | 5.5381999015808105 | 33.201499938964844 | 20.480600357055664 | 0.6539999842643738 | 4.433000087738037 | 24.399999618530273 | 1.6749999523162842 | 1.0410000085830688 | -9.0 |
5.0 | 5.0 | 29.706899642944336 | 29.705699920654297 | 5.538599967956543 | 33.20439910888672 | 20.48270034790039 | 0.6840000152587891 | 4.434999942779541 | 22.600000381469727 | 1.6419999599456787 | 1.0579999685287476 | -9.0 |
5.5 | 5.5 | 29.70669937133789 | 29.705400466918945 | 5.539100170135498 | 33.20719909667969 | 20.484899520874023 | 0.6800000071525574 | 4.435999870300293 | 19.799999237060547 | 1.5850000381469727 | 1.0670000314712524 | -9.0 |
6.0 | 6.0 | 29.70669937133789 | 29.7052001953125 | 5.5391998291015625 | 33.208099365234375 | 20.485599517822266 | 0.6729999780654907 | 4.434000015258789 | 18.5 | 1.5549999475479126 | 1.0700000524520874 | -9.0 |
6.5 | 6.5 | 29.70669937133789 | 29.70509910583496 | 5.539299964904785 | 33.20840072631836 | 20.48590087890625 | 0.6480000019073486 | 4.433000087738037 | 18.100000381469727 | 1.5449999570846558 | 1.0670000314712524 | -9.0 |
7.0 | 7.0 | 29.706899642944336 | 29.70509910583496 | 5.539299964904785 | 33.20859909057617 | 20.486000061035156 | 0.6050000190734863 | 4.432000160217285 | 16.399999618530273 | 1.503999948501587 | 1.0839999914169312 | -9.0 |
7.599999904632568 | 7.5 | 29.707199096679688 | 29.705299377441406 | 5.5395002365112305 | 33.20920181274414 | 20.486400604248047 | 0.593999981880188 | 4.434999942779541 | 16.100000381469727 | 1.49399995803833 | 1.069000005722046 | -9.0 |
8.100000381469727 | 8.0 | 29.707000732421875 | 29.70509910583496 | 5.53980016708374 | 33.21139907836914 | 20.48819923400879 | 0.6439999938011169 | 4.435999870300293 | 15.300000190734863 | 1.4730000495910645 | 1.0410000085830688 | -9.0 |
8.600000381469727 | 8.5 | 29.700199127197266 | 29.69809913635254 | 5.539999961853027 | 33.217498779296875 | 20.495100021362305 | 0.703000009059906 | 4.434999942779541 | 14.100000381469727 | 1.437999963760376 | 1.0369999408721924 | -9.0 |
9.100000381469727 | 9.0 | 29.675399780273438 | 29.673099517822266 | 5.542799949645996 | 33.252899169921875 | 20.530000686645508 | 0.7319999933242798 | 4.434000015258789 | 13.600000381469727 | 1.4210000038146973 | 1.0260000228881836 | -9.0 |
9.600000381469727 | 9.5 | 29.679399490356445 | 29.677099227905273 | 5.5507001876831055 | 33.3036994934082 | 20.56679916381836 | 0.7099999785423279 | 4.435999870300293 | 13.100000381469727 | 1.406000018119812 | 1.0219999551773071 | -9.0 |
10.100000381469727 | 10.0 | 29.684499740600586 | 29.682100296020508 | 5.555799961090088 | 33.33440017700195 | 20.58810043334961 | 0.6470000147819519 | 4.434000015258789 | 12.699999809265137 | 1.3930000066757202 | 1.0429999828338623 | -9.0 |
10.600000381469727 | 10.5 | 29.67650032043457 | 29.673900604248047 | 5.559299945831299 | 33.363399505615234 | 20.612600326538086 | 0.5929999947547913 | 4.434999942779541 | 12.199999809265137 | 1.3760000467300415 | 1.0369999408721924 | -9.0 |
11.100000381469727 | 11.0 | 29.662099838256836 | 29.659400939941406 | 5.561699867248535 | 33.389198303222656 | 20.63680076599121 | 0.5960000157356262 | 4.434999942779541 | 11.600000381469727 | 1.3519999980926514 | 1.0110000371932983 | -9.0 |
11.600000381469727 | 11.5 | 29.629899978637695 | 29.627099990844727 | 5.564599990844727 | 33.43080139160156 | 20.67889976501465 | 0.6380000114440918 | 4.433000087738037 | 11.199999809265137 | 1.3389999866485596 | 1.0130000114440918 | -9.0 |
12.100000381469727 | 12.0 | 29.62619972229004 | 29.623199462890625 | 5.571499824523926 | 33.480098724365234 | 20.717100143432617 | 0.6779999732971191 | 4.435999870300293 | 11.100000381469727 | 1.3329999446868896 | 1.0549999475479126 | -9.0 |
12.600000381469727 | 12.5 | 29.63290023803711 | 29.629899978637695 | 5.57450008392334 | 33.49549865722656 | 20.72640037536621 | 0.6940000057220459 | 4.434999942779541 | 10.699999809265137 | 1.3179999589920044 | 1.0889999866485596 | -9.0 |
13.100000381469727 | 13.0 | 29.632600784301758 | 29.6294002532959 | 5.575500011444092 | 33.50230026245117 | 20.731700897216797 | 0.6909999847412109 | 4.435999870300293 | 10.300000190734863 | 1.2999999523162842 | 1.097000002861023 | -9.0 |
13.600000381469727 | 13.5 | 29.615299224853516 | 29.61199951171875 | 5.580699920654297 | 33.54949951171875 | 20.772899627685547 | 0.6869999766349792 | 4.435999870300293 | 9.970000267028809 | 1.2869999408721924 | 1.0859999656677246 | -9.0 |
14.100000381469727 | 14.0 | 29.58139991760254 | 29.577899932861328 | 5.594600200653076 | 33.667301177978516 | 20.872699737548828 | 0.6759999990463257 | 4.438000202178955 | 9.75 | 1.2769999504089355 | 1.090000033378601 | -9.0 |
14.600000381469727 | 14.5 | 29.538999557495117 | 29.535400390625 | 5.600299835205078 | 33.73529815673828 | 20.937999725341797 | 0.6380000114440918 | 4.440000057220459 | 9.479999542236328 | 1.2649999856948853 | 1.0740000009536743 | -9.0 |
15.100000381469727 | 15.0 | 29.503000259399414 | 29.499300003051758 | 5.603600025177002 | 33.782798767089844 | 20.985700607299805 | 0.5960000157356262 | 4.441999912261963 | 9.15999984741211 | 1.25 | 1.065999984741211 | -9.0 |
15.600000381469727 | 15.5 | 29.460599899291992 | 29.45680046081543 | 5.606800079345703 | 33.83409881591797 | 21.03849983215332 | 0.6019999980926514 | 4.440000057220459 | 8.890000343322754 | 1.2369999885559082 | 1.062000036239624 | -9.0 |
16.100000381469727 | 16.0 | 29.429399490356445 | 29.425399780273438 | 5.6143999099731445 | 33.90769958496094 | 21.104299545288086 | 0.6639999747276306 | 4.440000057220459 | 8.630000114440918 | 1.2239999771118164 | 1.065999984741211 | -9.0 |
16.600000381469727 | 16.5 | 29.36009979248047 | 29.35610008239746 | 5.624599933624268 | 34.02579879760742 | 21.216100692749023 | 0.7260000109672546 | 4.441999912261963 | 8.449999809265137 | 1.215000033378601 | 1.0609999895095825 | -9.0 |
17.100000381469727 | 17.0 | 29.216100692749023 | 29.21190071105957 | 5.638999938964844 | 34.226600646972656 | 21.415000915527344 | 0.7440000176429749 | 4.442999839782715 | 8.239999771118164 | 1.2039999961853027 | 1.0520000457763672 | -9.0 |
17.600000381469727 | 17.5 | 29.177499771118164 | 29.173200607299805 | 5.667699813842773 | 34.450199127197266 | 21.595800399780273 | 0.7080000042915344 | 4.446000099182129 | 8.029999732971191 | 1.1929999589920044 | 1.0490000247955322 | -9.0 |
18.100000381469727 | 18.0 | 29.237899780273438 | 29.23349952697754 | 5.688799858093262 | 34.55120086669922 | 21.651399612426758 | 0.6299999952316284 | 4.449999809265137 | 7.829999923706055 | 1.1820000410079956 | 1.0390000343322754 | -9.0 |
18.600000381469727 | 18.5 | 29.29680061340332 | 29.292299270629883 | 5.704699993133545 | 34.61709976196289 | 21.681100845336914 | 0.546999990940094 | 4.449999809265137 | 7.579999923706055 | 1.1679999828338623 | 1.0329999923706055 | -9.0 |
19.100000381469727 | 19.0 | 29.35890007019043 | 29.354299545288086 | 5.717899799346924 | 34.662601470947266 | 21.694400787353516 | 0.5590000152587891 | 4.449999809265137 | 7.409999847412109 | 1.1579999923706055 | 1.0240000486373901 | -9.0 |
19.600000381469727 | 19.5 | 29.42060089111328 | 29.4158992767334 | 5.731599807739258 | 34.71110153198242 | 21.709999084472656 | 0.6779999732971191 | 4.453999996185303 | 7.21999979019165 | 1.1469999551773071 | 1.0269999504089355 | -9.0 |
20.100000381469727 | 20.0 | 29.454299926757812 | 29.44930076599121 | 5.738699913024902 | 34.73500061035156 | 21.716699600219727 | 0.7799999713897705 | 4.453999996185303 | 7.010000228881836 | 1.1339999437332153 | 1.0490000247955322 | -9.0 |
20.600000381469727 | 20.5 | 29.474899291992188 | 29.469900131225586 | 5.743100166320801 | 34.749698638916016 | 21.720800399780273 | 0.7940000295639038 | 4.453999996185303 | 6.849999904632568 | 1.1239999532699585 | 1.0579999685287476 | -9.0 |
21.100000381469727 | 21.0 | 29.497299194335938 | 29.49220085144043 | 5.748700141906738 | 34.77199935913086 | 21.729999542236328 | 0.6980000138282776 | 4.453000068664551 | 6.679999828338623 | 1.1130000352859497 | 1.0529999732971191 | -9.0 |
21.600000381469727 | 21.5 | 29.49169921875 | 29.486400604248047 | 5.750899791717529 | 34.791099548339844 | 21.746299743652344 | 0.5189999938011169 | 4.453000068664551 | 6.53000020980835 | 1.1030000448226929 | 1.0549999475479126 | -9.0 |
22.100000381469727 | 22.0 | 29.387399673461914 | 29.381999969482422 | 5.7515997886657715 | 34.87120056152344 | 21.84160041809082 | 0.5180000066757202 | 4.452000141143799 | 6.380000114440918 | 1.093000054359436 | 1.059000015258789 | -9.0 |
22.700000762939453 | 22.5 | 29.359800338745117 | 29.354299545288086 | 5.759799957275391 | 34.946800231933594 | 21.90760040283203 | 0.7170000076293945 | 4.443999767303467 | 6.21999979019165 | 1.0820000171661377 | 1.0540000200271606 | -9.0 |
23.200000762939453 | 23.0 | 29.110599517822266 | 29.104999542236328 | 5.7368998527526855 | 34.971500396728516 | 22.00950050354004 | 0.8289999961853027 | 4.438000202178955 | 6.090000152587891 | 1.0729999542236328 | 1.0729999542236328 | -9.0 |
23.700000762939453 | 23.5 | 27.330799102783203 | 27.32539939880371 | 5.58050012588501 | 35.20109939575195 | 22.76580047607422 | 0.8230000138282776 | 4.256999969482422 | 5.949999809265137 | 1.062999963760376 | 1.149999976158142 | -9.0 |
24.200000762939453 | 24.0 | 26.492000579833984 | 26.486600875854492 | 5.5278000831604 | 35.46120071411133 | 23.23040008544922 | 0.7009999752044678 | 3.8499999046325684 | 5.809999942779541 | 1.0520000457763672 | 1.3739999532699585 | -9.0 |
24.700000762939453 | 24.5 | 26.40369987487793 | 26.398099899291992 | 5.521200180053711 | 35.48149871826172 | 23.273700714111328 | 0.5270000100135803 | 3.8940000534057617 | 5.659999847412109 | 1.0410000085830688 | 1.590000033378601 | -9.0 |
25.200000762939453 | 25.0 | 26.364999771118164 | 26.35930061340332 | 5.5177001953125 | 35.48550033569336 | 23.288999557495117 | 0.4580000042915344 | 3.7720000743865967 | 5.559999942779541 | 1.0329999923706055 | 1.6959999799728394 | -9.0 |
25.700000762939453 | 25.5 | 26.327899932861328 | 26.322099685668945 | 5.514599800109863 | 35.4921989440918 | 23.305700302124023 | 0.4970000088214874 | 3.680999994277954 | 5.289999961853027 | 1.0119999647140503 | 1.75 | -9.0 |
26.200000762939453 | 26.0 | 26.273500442504883 | 26.26759910583496 | 5.509699821472168 | 35.49800109863281 | 23.327199935913086 | 0.49000000953674316 | 3.5920000076293945 | 4.78000020980835 | 0.9679999947547913 | 1.7599999904632568 | -9.0 |
26.700000762939453 | 26.5 | 26.227500915527344 | 26.221500396728516 | 5.507199764251709 | 35.51530075073242 | 23.354700088500977 | 0.17000000178813934 | 3.555000066757202 | 3.6600000858306885 | 0.8519999980926514 | 1.781000018119812 | -9.0 |
27.200000762939453 | 27.0 | 26.19420051574707 | 26.188100814819336 | 5.5046000480651855 | 35.52220153808594 | 23.370500564575195 | 0.503000020980835 | 3.556999921798706 | 3.119999885559082 | 0.7829999923706055 | 1.7890000343322754 | -9.0 |
27.700000762939453 | 27.5 | 26.15959930419922 | 26.153400421142578 | 5.500999927520752 | 35.522701263427734 | 23.38170051574707 | 0.37700000405311584 | 3.559000015258789 | 2.7300000190734863 | 0.7250000238418579 | 1.7829999923706055 | -9.0 |
28.200000762939453 | 28.0 | 26.117900848388672 | 26.111600875854492 | 5.496699810028076 | 35.52289962768555 | 23.395000457763672 | 0.39399999380111694 | 3.556999921798706 | 2.380000114440918 | 0.6650000214576721 | 1.7680000066757202 | -9.0 |
28.700000762939453 | 28.5 | 26.081899642944336 | 26.07550048828125 | 5.494200229644775 | 35.53310012817383 | 23.41390037536621 | 0.5210000276565552 | 3.5380001068115234 | 2.0899999141693115 | 0.6079999804496765 | 1.809999942779541 | -9.0 |
In total, there are 53 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.