Metocean: Historical collections
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Dataset Title: | "LATEX CTD - d94j035.nc - 29.04N, 92.0W - 1994-11-05" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: latex_d94j035) |
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 | 24.017200469970703 | 24.016700744628906 | 4.744100093841553 | 31.547700881958008 | 21.027000427246094 | 0.13099999725818634 | 2.072000026702881 | 0.7300000190734863 | 0.0 | 1.7680000066757202 | 0.7260000109672546 |
3.0 | 3.0 | 24.012699127197266 | 24.012100219726562 | 4.7434000968933105 | 31.545900344848633 | 21.027000427246094 | 0.3330000042915344 | 2.0810000896453857 | 0.7300000190734863 | 0.0 | 1.8070000410079956 | 0.7099999785423279 |
3.5 | 3.5 | 24.012399673461914 | 24.011600494384766 | 4.743500232696533 | 31.54669952392578 | 21.027700424194336 | 0.48899999260902405 | 2.072999954223633 | 0.7300000190734863 | 0.0 | 1.7669999599456787 | 0.6930000185966492 |
4.0 | 4.0 | 24.009700775146484 | 24.008899688720703 | 4.743100166320801 | 31.545299530029297 | 21.02739906311035 | 0.28200000524520874 | 2.121999979019165 | 0.7300000190734863 | 0.0 | 1.7740000486373901 | 0.6949999928474426 |
4.5 | 4.5 | 24.005699157714844 | 24.00469970703125 | 4.742599964141846 | 31.544099807739258 | 21.027700424194336 | 0.33500000834465027 | 2.1480000019073486 | 0.7300000190734863 | 0.0 | 1.7799999713897705 | 0.7039999961853027 |
5.0 | 5.0 | 24.000900268554688 | 23.999799728393555 | 4.7418999671936035 | 31.541799545288086 | 21.02750015258789 | 0.40700000524520874 | 2.1429998874664307 | 0.7300000190734863 | 0.0 | 1.7860000133514404 | 0.6959999799728394 |
5.5 | 5.5 | 23.99449920654297 | 23.99340057373047 | 4.741000175476074 | 31.539499282836914 | 21.027599334716797 | 0.5189999938011169 | 2.115000009536743 | 0.7300000190734863 | 0.0 | 1.7929999828338623 | 0.7250000238418579 |
6.0 | 6.0 | 23.994800567626953 | 23.993499755859375 | 4.740900039672852 | 31.538999557495117 | 21.02720069885254 | 0.5649999976158142 | 2.059000015258789 | 0.7300000190734863 | 0.0 | 1.7949999570846558 | 0.7490000128746033 |
6.5 | 6.5 | 23.99810028076172 | 23.996700286865234 | 4.741399765014648 | 31.540199279785156 | 21.027099609375 | 0.7770000100135803 | 2.0169999599456787 | 0.7300000190734863 | 0.0 | 1.7949999570846558 | 0.753000020980835 |
7.0 | 7.0 | 23.998699188232422 | 23.997299194335938 | 4.741600036621094 | 31.54050064086914 | 21.02720069885254 | 0.5799999833106995 | 2.003000020980835 | 0.7300000190734863 | 0.0 | 1.7929999828338623 | 0.7770000100135803 |
7.599999904632568 | 7.5 | 24.027099609375 | 24.02560043334961 | 4.745800018310547 | 31.551700592041016 | 21.02750015258789 | 0.7699999809265137 | 1.9110000133514404 | 0.7300000190734863 | 0.0 | 1.7929999828338623 | 0.8130000233650208 |
8.100000381469727 | 8.0 | 24.034700393676758 | 24.033000946044922 | 4.747000217437744 | 31.555500030517578 | 21.028099060058594 | 0.5580000281333923 | 1.906999945640564 | 0.7300000190734863 | 0.0 | 1.7999999523162842 | 0.8259999752044678 |
8.600000381469727 | 8.5 | 24.037500381469727 | 24.03580093383789 | 4.747399806976318 | 31.556499481201172 | 21.028099060058594 | 0.5479999780654907 | 1.9290000200271606 | 0.7300000190734863 | 0.0 | 1.809999942779541 | 0.8029999732971191 |
9.100000381469727 | 9.0 | 24.047100067138672 | 24.045299530029297 | 4.748899936676025 | 31.560300827026367 | 21.028200149536133 | 0.4269999861717224 | 1.934000015258789 | 0.7300000190734863 | 0.0 | 1.8049999475479126 | 0.8230000138282776 |
9.600000381469727 | 9.5 | 24.045900344848633 | 24.04400062561035 | 4.748700141906738 | 31.559499740600586 | 21.027999877929688 | 0.7200000286102295 | 1.9290000200271606 | 0.7300000190734863 | 0.0 | 1.8070000410079956 | 0.7850000262260437 |
10.100000381469727 | 10.0 | 24.05069923400879 | 24.048599243164062 | 4.749499797821045 | 31.562000274658203 | 21.028499603271484 | 0.5929999947547913 | 1.934000015258789 | 0.7300000190734863 | 0.0 | 1.8279999494552612 | 0.8029999732971191 |
10.600000381469727 | 10.5 | 24.010700225830078 | 24.008499145507812 | 4.743199825286865 | 31.54330062866211 | 21.025999069213867 | 0.48500001430511475 | 1.7109999656677246 | 0.7300000190734863 | 0.0 | 1.8240000009536743 | 0.9179999828338623 |
11.100000381469727 | 11.0 | 23.9950008392334 | 23.992700576782227 | 4.740900039672852 | 31.536800384521484 | 21.025699615478516 | 0.4869999885559082 | 1.687000036239624 | 0.7300000190734863 | 0.0 | 1.8179999589920044 | 0.8709999918937683 |
11.600000381469727 | 11.5 | 23.98390007019043 | 23.98150062561035 | 4.739200115203857 | 31.531999588012695 | 21.025400161743164 | 0.4880000054836273 | 1.718999981880188 | 0.7300000190734863 | 0.0 | 1.8229999542236328 | 0.8830000162124634 |
12.100000381469727 | 12.0 | 23.96929931640625 | 23.966800689697266 | 4.737100124359131 | 31.526500701904297 | 21.02549934387207 | 0.44999998807907104 | 1.8350000381469727 | 0.7300000190734863 | 0.0 | 1.8279999494552612 | 0.8220000267028809 |
12.600000381469727 | 12.5 | 23.982500076293945 | 23.979900360107422 | 4.738900184631348 | 31.530500411987305 | 21.024799346923828 | 0.5090000033378601 | 1.8040000200271606 | 0.7300000190734863 | 0.0 | 1.8309999704360962 | 0.8669999837875366 |
13.100000381469727 | 13.0 | 23.9768009185791 | 23.97410011291504 | 4.73799991607666 | 31.528099060058594 | 21.024599075317383 | 0.4390000104904175 | 1.7120000123977661 | 0.7300000190734863 | 0.0 | 1.8600000143051147 | 0.8949999809265137 |
13.600000381469727 | 13.5 | 23.971599578857422 | 23.968799591064453 | 4.737199783325195 | 31.525400161743164 | 21.024099349975586 | 0.5529999732971191 | 1.6330000162124634 | 0.7300000190734863 | 0.0 | 1.8680000305175781 | 0.8510000109672546 |
14.100000381469727 | 14.0 | 23.978700637817383 | 23.975799560546875 | 4.738399982452393 | 31.529300689697266 | 21.025100708007812 | 0.43700000643730164 | 1.63100004196167 | 0.7300000190734863 | 0.0 | 1.8459999561309814 | 0.9269999861717224 |
14.600000381469727 | 14.5 | 23.982799530029297 | 23.979799270629883 | 4.739099979400635 | 31.5310001373291 | 21.025100708007812 | 0.5059999823570251 | 1.524999976158142 | 0.7300000190734863 | 0.0 | 1.8359999656677246 | 1.2400000095367432 |
15.100000381469727 | 15.0 | 23.97439956665039 | 23.97130012512207 | 4.7378997802734375 | 31.52790069580078 | 21.025299072265625 | 0.6200000047683716 | 1.36899995803833 | 0.7300000190734863 | 0.0 | 1.843000054359436 | 1.2489999532699585 |
15.600000381469727 | 15.5 | 24.013999938964844 | 24.010700225830078 | 4.74370002746582 | 31.54319953918457 | 21.025299072265625 | 0.11900000274181366 | 1.2910000085830688 | 0.7300000190734863 | 0.0 | 1.8279999494552612 | 1.4769999980926514 |
In total, there are 27 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.