Metocean: Historical collections
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Dataset Title: | "LATEX CTD - d94j062.nc - 28.75N, 93.0W - 1994-11-06" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: latex_d94j062) |
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 | 25.37350082397461 | 25.372900009155273 | 5.345399856567383 | 34.998199462890625 | 23.227800369262695 | 0.7540000081062317 | 3.953000068664551 | 815.0 | 3.049999952316284 | 1.5420000553131104 | 0.0989999994635582 |
3.0 | 3.0 | 25.375900268554688 | 25.37529945373535 | 5.345900058746338 | 34.999698638916016 | 23.228300094604492 | 0.40700000524520874 | 3.9779999256134033 | 652.0 | 2.953000068664551 | 1.5379999876022339 | 0.08799999952316284 |
3.5 | 3.5 | 25.37929916381836 | 25.37849998474121 | 5.346399784088135 | 35.00130081176758 | 23.2283992767334 | 0.40799999237060547 | 3.98799991607666 | 776.0 | 3.0290000438690186 | 1.5750000476837158 | 0.08699999749660492 |
4.0 | 4.0 | 25.38089942932129 | 25.38010025024414 | 5.34689998626709 | 35.003299713134766 | 23.22949981689453 | 0.6589999794960022 | 3.9709999561309814 | 739.0 | 3.007999897003174 | 1.5920000076293945 | 0.08299999684095383 |
4.5 | 4.5 | 25.383499145507812 | 25.38249969482422 | 5.3471999168396 | 35.00339889526367 | 23.22879981994629 | 0.7149999737739563 | 3.9730000495910645 | 690.0 | 2.9779999256134033 | 1.6009999513626099 | 0.08399999886751175 |
5.0 | 5.0 | 25.38409996032715 | 25.382999420166016 | 5.347300052642822 | 35.003501892089844 | 23.22879981994629 | 0.5899999737739563 | 3.986999988555908 | 522.0 | 2.8570001125335693 | 1.6030000448226929 | 0.08799999952316284 |
5.5 | 5.5 | 25.383699417114258 | 25.382400512695312 | 5.347300052642822 | 35.00379943847656 | 23.22920036315918 | 0.36399999260902405 | 3.990999937057495 | 423.0 | 2.765000104904175 | 1.61899995803833 | 0.08500000089406967 |
6.0 | 6.0 | 25.381999969482422 | 25.380599975585938 | 5.3471999168396 | 35.00400161743164 | 23.229799270629883 | 0.6029999852180481 | 3.994999885559082 | 453.0 | 2.7950000762939453 | 1.625 | 0.08699999749660492 |
6.5 | 6.5 | 25.382699966430664 | 25.381200790405273 | 5.347300052642822 | 35.00410079956055 | 23.229700088500977 | 0.6890000104904175 | 3.994999885559082 | 379.0 | 2.7179999351501465 | 1.6119999885559082 | 0.08799999952316284 |
7.0 | 7.0 | 25.38290023803711 | 25.38129997253418 | 5.347400188446045 | 35.004398345947266 | 23.229900360107422 | 0.5139999985694885 | 3.997999906539917 | 332.0 | 2.6600000858306885 | 1.6039999723434448 | 0.0860000029206276 |
7.599999904632568 | 7.5 | 25.384300231933594 | 25.382699966430664 | 5.347599983215332 | 35.004398345947266 | 23.22949981689453 | 0.45399999618530273 | 4.000999927520752 | 311.0 | 2.631999969482422 | 1.628000020980835 | 0.08699999749660492 |
8.100000381469727 | 8.0 | 25.385499954223633 | 25.383699417114258 | 5.347700119018555 | 35.004600524902344 | 23.229299545288086 | 0.734000027179718 | 3.996999979019165 | 306.0 | 2.625 | 1.6380000114440918 | 0.0860000029206276 |
8.600000381469727 | 8.5 | 25.38479995727539 | 25.382999420166016 | 5.347700119018555 | 35.00450134277344 | 23.22949981689453 | 0.824999988079071 | 3.997999906539917 | 255.0 | 2.5450000762939453 | 1.6490000486373901 | 0.0860000029206276 |
9.100000381469727 | 9.0 | 25.38409996032715 | 25.382099151611328 | 5.347599983215332 | 35.004398345947266 | 23.229700088500977 | 0.699999988079071 | 3.999000072479248 | 218.0 | 2.4779999256134033 | 1.6480000019073486 | 0.09300000220537186 |
9.600000381469727 | 9.5 | 25.383800506591797 | 25.38170051574707 | 5.347599983215332 | 35.00429916381836 | 23.229799270629883 | 0.4350000023841858 | 3.999000072479248 | 193.0 | 2.424999952316284 | 1.6579999923706055 | 0.08799999952316284 |
10.100000381469727 | 10.0 | 25.38290023803711 | 25.380699157714844 | 5.347499847412109 | 35.00450134277344 | 23.230199813842773 | 0.6840000152587891 | 4.001999855041504 | 187.0 | 2.4119999408721924 | 1.6610000133514404 | 0.08699999749660492 |
10.600000381469727 | 10.5 | 25.38409996032715 | 25.381799697875977 | 5.347899913787842 | 35.00579833984375 | 23.230899810791016 | 0.8140000104904175 | 3.999000072479248 | 170.0 | 2.369999885559082 | 1.659999966621399 | 0.09099999815225601 |
11.100000381469727 | 11.0 | 25.386199951171875 | 25.383800506591797 | 5.348400115966797 | 35.007598876953125 | 23.231599807739258 | 0.8399999737739563 | 4.0 | 147.0 | 2.305000066757202 | 1.6610000133514404 | 0.08900000154972076 |
11.600000381469727 | 11.5 | 25.388900756835938 | 25.38629913330078 | 5.348999977111816 | 35.01020050048828 | 23.232799530029297 | 0.7350000143051147 | 3.997999906539917 | 130.0 | 2.253999948501587 | 1.6729999780654907 | 0.08699999749660492 |
12.100000381469727 | 12.0 | 25.388700485229492 | 25.38599967956543 | 5.348899841308594 | 35.009700775146484 | 23.232500076293945 | 0.5339999794960022 | 3.9820001125335693 | 117.0 | 2.2070000171661377 | 1.6920000314712524 | 0.08900000154972076 |
12.600000381469727 | 12.5 | 25.385900497436523 | 25.38319969177246 | 5.348299980163574 | 35.007301330566406 | 23.231599807739258 | 0.9509999752044678 | 3.996000051498413 | 105.0 | 2.1619999408721924 | 1.7029999494552612 | 0.08799999952316284 |
13.100000381469727 | 13.0 | 25.386899948120117 | 25.38409996032715 | 5.348599910736084 | 35.00830078125 | 23.23200035095215 | 1.1399999856948853 | 3.99399995803833 | 97.9000015258789 | 2.130000114440918 | 1.6990000009536743 | 0.0860000029206276 |
13.600000381469727 | 13.5 | 25.395000457763672 | 25.392099380493164 | 5.350500106811523 | 35.01599884033203 | 23.23539924621582 | 1.184000015258789 | 3.993000030517578 | 91.80000305175781 | 2.1019999980926514 | 1.6920000314712524 | 0.08699999749660492 |
14.100000381469727 | 14.0 | 25.403200149536133 | 25.400100708007812 | 5.352099895477295 | 35.02130126953125 | 23.236900329589844 | 1.0859999656677246 | 3.993000030517578 | 86.9000015258789 | 2.078000068664551 | 1.6920000314712524 | 0.09099999815225601 |
14.600000381469727 | 14.5 | 25.402999877929688 | 25.399799346923828 | 5.352099895477295 | 35.02080154418945 | 23.236600875854492 | 0.7369999885559082 | 3.993000030517578 | 80.30000305175781 | 2.0439999103546143 | 1.6990000009536743 | 0.09000000357627869 |
15.100000381469727 | 15.0 | 25.403499603271484 | 25.40019989013672 | 5.35230016708374 | 35.02170181274414 | 23.237199783325195 | 1.0460000038146973 | 3.9839999675750732 | 71.0999984741211 | 1.9910000562667847 | 1.6959999799728394 | 0.09600000083446503 |
15.600000381469727 | 15.5 | 25.405399322509766 | 25.402000427246094 | 5.352700233459473 | 35.02320098876953 | 23.23780059814453 | 1.1710000038146973 | 3.9839999675750732 | 68.5 | 1.975000023841858 | 1.6970000267028809 | 0.10000000149011612 |
16.100000381469727 | 16.0 | 25.408300399780273 | 25.404800415039062 | 5.353300094604492 | 35.02539825439453 | 23.23859977722168 | 1.0770000219345093 | 3.9820001125335693 | 64.4000015258789 | 1.9479999542236328 | 1.6979999542236328 | 0.09600000083446503 |
16.600000381469727 | 16.5 | 25.408700942993164 | 25.405000686645508 | 5.353400230407715 | 35.0260009765625 | 23.23889923095703 | 0.8230000138282776 | 3.9779999256134033 | 58.599998474121094 | 1.906999945640564 | 1.7009999752044678 | 0.09300000220537186 |
17.100000381469727 | 17.0 | 25.41830062866211 | 25.414600372314453 | 5.355800151824951 | 35.03559875488281 | 23.24329948425293 | 0.5080000162124634 | 3.9830000400543213 | 50.599998474121094 | 1.843000054359436 | 1.718999981880188 | 0.09600000083446503 |
17.600000381469727 | 17.5 | 25.424400329589844 | 25.420499801635742 | 5.3572001457214355 | 35.041099548339844 | 23.2455997467041 | 0.7250000238418579 | 3.9830000400543213 | 45.70000076293945 | 1.7990000247955322 | 1.7330000400543213 | 0.09700000286102295 |
18.100000381469727 | 18.0 | 25.425600051879883 | 25.421600341796875 | 5.357500076293945 | 35.04199981689453 | 23.246000289916992 | 0.7089999914169312 | 3.9809999465942383 | 41.900001525878906 | 1.7610000371932983 | 1.7359999418258667 | 0.09799999743700027 |
18.600000381469727 | 18.5 | 25.436199188232422 | 25.432100296020508 | 5.360099792480469 | 35.05339813232422 | 23.251300811767578 | 0.5899999737739563 | 3.9809999465942383 | 38.099998474121094 | 1.7200000286102295 | 1.7389999628067017 | 0.09799999743700027 |
19.100000381469727 | 19.0 | 25.455799102783203 | 25.45159912109375 | 5.365200042724609 | 35.075199127197266 | 23.26180076599121 | 0.4099999964237213 | 3.9809999465942383 | 35.900001525878906 | 1.694000005722046 | 1.7389999628067017 | 0.0989999994635582 |
19.600000381469727 | 19.5 | 25.463499069213867 | 25.459199905395508 | 5.367199897766113 | 35.08369827270508 | 23.265899658203125 | 0.23800000548362732 | 3.9760000705718994 | 33.599998474121094 | 1.6649999618530273 | 1.7350000143051147 | 0.11100000143051147 |
20.100000381469727 | 20.0 | 25.46619987487793 | 25.46179962158203 | 5.368100166320801 | 35.088199615478516 | 23.26849937438965 | 0.38600000739097595 | 3.9709999561309814 | 30.600000381469727 | 1.625 | 1.7359999418258667 | 0.10199999809265137 |
20.600000381469727 | 20.5 | 25.467100143432617 | 25.462600708007812 | 5.368500232696533 | 35.09040069580078 | 23.269899368286133 | 0.5559999942779541 | 3.9649999141693115 | 27.700000762939453 | 1.5809999704360962 | 1.7369999885559082 | 0.1080000028014183 |
21.100000381469727 | 21.0 | 25.486499786376953 | 25.48189926147461 | 5.373799800872803 | 35.114498138427734 | 23.28219985961914 | 0.4950000047683716 | 3.9519999027252197 | 25.200000762939453 | 1.5399999618530273 | 1.7389999628067017 | 0.13099999725818634 |
21.600000381469727 | 21.5 | 25.50749969482422 | 25.502700805664062 | 5.38070011138916 | 35.14899826049805 | 23.301799774169922 | 0.3400000035762787 | 3.924999952316284 | 24.100000381469727 | 1.5210000276565552 | 1.7450000047683716 | 0.12600000202655792 |
22.100000381469727 | 22.0 | 25.526100158691406 | 25.52120018005371 | 5.387400150299072 | 35.18360137939453 | 23.322200775146484 | 0.4410000145435333 | 3.8970000743865967 | 22.600000381469727 | 1.4930000305175781 | 1.75600004196167 | 0.1289999932050705 |
22.700000762939453 | 22.5 | 25.546199798583984 | 25.541200637817383 | 5.394400119781494 | 35.219398498535156 | 23.34309959411621 | 0.375 | 3.884000062942505 | 21.0 | 1.4609999656677246 | 1.7740000486373901 | 0.13600000739097595 |
23.200000762939453 | 23.0 | 25.562400817871094 | 25.557300567626953 | 5.400000095367432 | 35.247398376464844 | 23.35930061340332 | 0.2370000034570694 | 3.822999954223633 | 19.100000381469727 | 1.4210000038146973 | 1.7309999465942383 | 0.15000000596046448 |
23.700000762939453 | 23.5 | 25.572999954223633 | 25.567800521850586 | 5.403900146484375 | 35.2681999206543 | 23.37179946899414 | 0.2809999883174896 | 3.805000066757202 | 18.399999618530273 | 1.402999997138977 | 1.7029999494552612 | 0.15199999511241913 |
24.200000762939453 | 24.0 | 25.57939910888672 | 25.574100494384766 | 5.406700134277344 | 35.28369903564453 | 23.38159942626953 | 0.296999990940094 | 3.7720000743865967 | 16.700000762939453 | 1.3630000352859497 | 1.6829999685287476 | 0.17100000381469727 |
24.700000762939453 | 24.5 | 25.58679962158203 | 25.581300735473633 | 5.409900188446045 | 35.30080032348633 | 23.392200469970703 | 0.32600000500679016 | 3.6019999980926514 | 15.899999618530273 | 1.340999960899353 | 1.6770000457763672 | 0.18000000715255737 |
25.200000762939453 | 25.0 | 25.588300704956055 | 25.582799911499023 | 5.410600185394287 | 35.305198669433594 | 23.395099639892578 | 0.28700000047683716 | 3.628000020980835 | 14.800000190734863 | 1.309000015258789 | 1.6720000505447388 | 0.23999999463558197 |
25.700000762939453 | 25.5 | 25.589099884033203 | 25.58340072631836 | 5.411200046539307 | 35.308101654052734 | 23.3971004486084 | 0.35199999809265137 | 3.5769999027252197 | 13.600000381469727 | 1.2740000486373901 | 1.6130000352859497 | 0.28299999237060547 |
26.200000762939453 | 26.0 | 25.58970069885254 | 25.583900451660156 | 5.411499977111816 | 35.310298919677734 | 23.39859962463379 | 0.32899999618530273 | 3.447000026702881 | 12.800000190734863 | 1.246999979019165 | 1.5709999799728394 | 0.3269999921321869 |
26.700000762939453 | 26.5 | 25.589799880981445 | 25.583900451660156 | 5.411499977111816 | 35.30970001220703 | 23.398099899291992 | 0.37700000405311584 | 3.382999897003174 | 11.600000381469727 | 1.2039999961853027 | 1.593000054359436 | 0.3310000002384186 |
27.200000762939453 | 27.0 | 25.589799880981445 | 25.583799362182617 | 5.411499977111816 | 35.30929946899414 | 23.397899627685547 | 0.4169999957084656 | 3.3610000610351562 | 10.0 | 1.1410000324249268 | 1.5829999446868896 | 0.32199999690055847 |
27.700000762939453 | 27.5 | 25.590200424194336 | 25.5841007232666 | 5.411600112915039 | 35.310298919677734 | 23.398500442504883 | 0.7820000052452087 | 3.2869999408721924 | 9.350000381469727 | 1.1100000143051147 | 1.6089999675750732 | 0.31299999356269836 |
28.200000762939453 | 28.0 | 25.590299606323242 | 25.5841007232666 | 5.4116997718811035 | 35.31039810180664 | 23.39859962463379 | 0.2240000069141388 | 3.2720000743865967 | 8.149999618530273 | 1.0499999523162842 | 1.5980000495910645 | 0.3240000009536743 |
In total, there are 52 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.