Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "LATEX CTD - d93g086.nc - 28.94N, 92.0W - 1993-11-12" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: latex_d93g086) |
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 | 20.943300247192383 | 20.943199157714844 | 4.592899799346924 | 32.64459991455078 | 22.718399047851562 | 0.36000001430511475 | 2.0350000858306885 | 1.0700000524520874 | 0.3160000145435333 | 1.7400000095367432 | -9.0 |
3.0 | 3.0 | 20.946500778198242 | 20.946300506591797 | 4.593200206756592 | 32.64419937133789 | 22.717300415039062 | 0.6869999766349792 | 2.0460000038146973 | 0.7900000214576721 | 0.1860000044107437 | 1.7389999628067017 | -9.0 |
3.5 | 3.5 | 20.94700050354004 | 20.946699142456055 | 4.593200206756592 | 32.64390182495117 | 22.716999053955078 | 0.550000011920929 | 2.058000087738037 | 0.5699999928474426 | 0.04800000041723251 | 1.7510000467300415 | -9.0 |
4.0 | 4.0 | 20.94610023498535 | 20.94580078125 | 4.593200206756592 | 32.644100189208984 | 22.717300415039062 | 0.3580000102519989 | 2.0360000133514404 | 0.5199999809265137 | 0.0020000000949949026 | 1.7640000581741333 | -9.0 |
4.5 | 4.5 | 20.949600219726562 | 20.949100494384766 | 4.593500137329102 | 32.64350128173828 | 22.715999603271484 | 0.5830000042915344 | 2.0239999294281006 | 0.5099999904632568 | 0.0 | 1.7699999809265137 | -9.0 |
5.0 | 5.0 | 20.95210075378418 | 20.951499938964844 | 4.593800067901611 | 32.643798828125 | 22.715599060058594 | 0.6610000133514404 | 1.9780000448226929 | 0.5099999904632568 | 0.0 | 1.7549999952316284 | -9.0 |
5.5 | 5.5 | 20.95009994506836 | 20.949499130249023 | 4.593599796295166 | 32.64419937133789 | 22.716400146484375 | 0.5270000100135803 | 1.99399995803833 | 0.5099999904632568 | 0.0 | 1.781000018119812 | -9.0 |
6.0 | 6.0 | 20.948299407958984 | 20.947500228881836 | 4.593400001525879 | 32.64390182495117 | 22.716699600219727 | 0.38100001215934753 | 2.0290000438690186 | 0.5099999904632568 | 0.0 | 1.7970000505447388 | -9.0 |
6.5 | 6.5 | 20.946699142456055 | 20.945899963378906 | 4.593299865722656 | 32.64400100708008 | 22.717199325561523 | 0.4020000100135803 | 2.055000066757202 | 0.5099999904632568 | 0.0 | 1.7860000133514404 | -9.0 |
7.0 | 7.0 | 20.946300506591797 | 20.94529914855957 | 4.593299865722656 | 32.644100189208984 | 22.717500686645508 | 0.367000013589859 | 2.0789999961853027 | 0.5099999904632568 | 0.0 | 1.7649999856948853 | -9.0 |
7.5 | 7.5 | 20.947799682617188 | 20.946800231933594 | 4.593500137329102 | 32.64400100708008 | 22.716999053955078 | 0.5590000152587891 | 2.0850000381469727 | 0.5099999904632568 | 0.0 | 1.7660000324249268 | -9.0 |
8.0 | 8.0 | 20.951900482177734 | 20.950700759887695 | 4.593999862670898 | 32.64500045776367 | 22.716699600219727 | 0.6259999871253967 | 2.0350000858306885 | 0.5099999904632568 | 0.0 | 1.7829999923706055 | -9.0 |
8.5 | 8.5 | 20.94930076599121 | 20.94809913635254 | 4.593699932098389 | 32.644100189208984 | 22.716699600219727 | 0.4860000014305115 | 2.0480000972747803 | 0.5099999904632568 | 0.0 | 1.781999945640564 | -9.0 |
9.0 | 9.0 | 20.95050048828125 | 20.949199676513672 | 4.593900203704834 | 32.644500732421875 | 22.716699600219727 | 0.3330000042915344 | 2.069000005722046 | 0.5099999904632568 | 0.0 | 1.8009999990463257 | -9.0 |
9.600000381469727 | 9.5 | 20.95439910888672 | 20.952999114990234 | 4.594399929046631 | 32.645599365234375 | 22.71660041809082 | 0.48100000619888306 | 2.0929999351501465 | 0.5099999904632568 | 0.0 | 1.7990000247955322 | -9.0 |
10.100000381469727 | 10.0 | 20.95199966430664 | 20.95050048828125 | 4.594200134277344 | 32.645599365234375 | 22.717300415039062 | 0.5920000076293945 | 2.059000015258789 | 0.5099999904632568 | 0.0 | 1.7960000038146973 | -9.0 |
10.600000381469727 | 10.5 | 20.95870018005371 | 20.95709991455078 | 4.59499979019165 | 32.64670181274414 | 22.716299057006836 | 0.5519999861717224 | 2.0480000972747803 | 0.5099999904632568 | 0.0 | 1.8020000457763672 | -9.0 |
11.100000381469727 | 11.0 | 20.959999084472656 | 20.95829963684082 | 4.595300197601318 | 32.64789962768555 | 22.716899871826172 | 0.37700000405311584 | 2.0759999752044678 | 0.5099999904632568 | 0.0 | 1.809999942779541 | -9.0 |
11.600000381469727 | 11.5 | 20.960399627685547 | 20.958599090576172 | 4.595300197601318 | 32.647701263427734 | 22.716699600219727 | 0.4259999990463257 | 2.0829999446868896 | 0.5099999904632568 | 0.0 | 1.8370000123977661 | -9.0 |
12.100000381469727 | 12.0 | 20.960599899291992 | 20.95870018005371 | 4.595399856567383 | 32.64799880981445 | 22.716899871826172 | 0.5009999871253967 | 2.072000026702881 | 0.5099999904632568 | 0.0 | 1.8370000123977661 | -9.0 |
12.600000381469727 | 12.5 | 20.958999633789062 | 20.95709991455078 | 4.595200061798096 | 32.64759826660156 | 22.716999053955078 | 0.37700000405311584 | 2.069000005722046 | 0.5099999904632568 | 0.0 | 1.8289999961853027 | -9.0 |
13.100000381469727 | 13.0 | 20.95509910583496 | 20.952999114990234 | 4.594799995422363 | 32.64699935913086 | 22.717599868774414 | 0.4059999883174896 | 2.0899999141693115 | 0.5099999904632568 | 0.0 | 1.8259999752044678 | -9.0 |
13.600000381469727 | 13.5 | 20.95560073852539 | 20.953399658203125 | 4.594900131225586 | 32.64720153808594 | 22.71769905090332 | 0.5479999780654907 | 2.0759999752044678 | 0.5099999904632568 | 0.0 | 1.8350000381469727 | -9.0 |
14.100000381469727 | 14.0 | 20.956600189208984 | 20.95439910888672 | 4.59499979019165 | 32.64720153808594 | 22.71739959716797 | 0.593999981880188 | 2.065000057220459 | 0.5099999904632568 | 0.0 | 1.8270000219345093 | -9.0 |
14.600000381469727 | 14.5 | 20.959299087524414 | 20.957000732421875 | 4.595300197601318 | 32.64720153808594 | 22.716800689697266 | 0.5090000033378601 | 2.056999921798706 | 0.5099999904632568 | 0.0 | 1.8240000009536743 | -9.0 |
15.100000381469727 | 15.0 | 20.95800018310547 | 20.95549964904785 | 4.595200061798096 | 32.647499084472656 | 22.717300415039062 | 0.28200000524520874 | 2.0950000286102295 | 0.5099999904632568 | 0.0 | 1.8389999866485596 | -9.0 |
15.600000381469727 | 15.5 | 20.95680046081543 | 20.954299926757812 | 4.595099925994873 | 32.647300720214844 | 22.717500686645508 | 0.44699999690055847 | 2.0999999046325684 | 0.5099999904632568 | 0.0 | 1.8220000267028809 | -9.0 |
16.100000381469727 | 16.0 | 20.955900192260742 | 20.95319938659668 | 4.59499979019165 | 32.647300720214844 | 22.71780014038086 | 0.6800000071525574 | 2.0360000133514404 | 0.5099999904632568 | 0.0 | 1.8170000314712524 | -9.0 |
16.600000381469727 | 16.5 | 20.958200454711914 | 20.95549964904785 | 4.595300197601318 | 32.64720153808594 | 22.717100143432617 | 0.7059999704360962 | 1.996000051498413 | 0.5099999904632568 | 0.0 | 1.815000057220459 | -9.0 |
17.100000381469727 | 17.0 | 20.96139907836914 | 20.958599090576172 | 4.595600128173828 | 32.64759826660156 | 22.71660041809082 | 0.5059999823570251 | 2.0160000324249268 | 0.5099999904632568 | 0.0 | 1.8380000591278076 | -9.0 |
17.600000381469727 | 17.5 | 20.96139907836914 | 20.95840072631836 | 4.595600128173828 | 32.64739990234375 | 22.71649932861328 | 0.3720000088214874 | 2.0490000247955322 | 0.5099999904632568 | 0.0 | 1.8389999866485596 | -9.0 |
18.100000381469727 | 18.0 | 20.96150016784668 | 20.958499908447266 | 4.595699787139893 | 32.647701263427734 | 22.716699600219727 | 0.5730000138282776 | 2.0829999446868896 | 0.5099999904632568 | 0.0 | 1.8259999752044678 | -9.0 |
18.600000381469727 | 18.5 | 20.962200164794922 | 20.958999633789062 | 4.595699787139893 | 32.647300720214844 | 22.716299057006836 | 0.6759999990463257 | 1.9930000305175781 | 0.5099999904632568 | 0.0 | 1.8300000429153442 | -9.0 |
19.100000381469727 | 19.0 | 20.962200164794922 | 20.958999633789062 | 4.595799922943115 | 32.647300720214844 | 22.716299057006836 | 0.578000009059906 | 2.006999969482422 | 0.5099999904632568 | 0.0 | 1.8339999914169312 | -9.0 |
19.600000381469727 | 19.5 | 20.962600708007812 | 20.959199905395508 | 4.595799922943115 | 32.64699935913086 | 22.715999603271484 | 0.3409999907016754 | 2.069000005722046 | 0.5099999904632568 | 0.0 | 1.871000051498413 | -9.0 |
20.100000381469727 | 20.0 | 20.962099075317383 | 20.95870018005371 | 4.595799922943115 | 32.647300720214844 | 22.716299057006836 | 0.28600001335144043 | 2.0759999752044678 | 0.5099999904632568 | 0.0 | 1.8669999837875366 | -9.0 |
20.600000381469727 | 20.5 | 20.962499618530273 | 20.958999633789062 | 4.595799922943115 | 32.647098541259766 | 22.716100692749023 | 0.3799999952316284 | 2.0759999752044678 | 0.5099999904632568 | 0.0 | 1.8459999561309814 | -9.0 |
21.100000381469727 | 21.0 | 20.963199615478516 | 20.9596004486084 | 4.595900058746338 | 32.64659881591797 | 22.715599060058594 | 0.2709999978542328 | 2.062999963760376 | 0.5099999904632568 | 0.0 | 1.8350000381469727 | -9.0 |
In total, there are 38 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.