Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "LATEX CTD - d93d118.nc - 29.47N, 93.0W - 1993-02-13" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: latex_d93d118) |
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 | 15.165200233459473 | 15.164899826049805 | 3.003000020980835 | 23.44969940185547 | 17.05620002746582 | 0.16099999845027924 | 2.556999921798706 | 0.6000000238418579 | 0.8080000281333923 | 5.0 | -9.0 |
2.5 | 2.5 | 15.158900260925293 | 15.158499717712402 | 3.0023000240325928 | 23.447399139404297 | 17.055700302124023 | 0.3409999907016754 | 2.558000087738037 | 0.36000001430511475 | 0.5889999866485596 | 5.0 | -9.0 |
3.0 | 3.0 | 15.157699584960938 | 15.157299995422363 | 3.00219988822937 | 23.44700050354004 | 17.055599212646484 | 0.3310000002384186 | 2.555000066757202 | 0.23999999463558197 | 0.40700000524520874 | 5.0 | -9.0 |
3.5 | 3.5 | 15.163000106811523 | 15.162500381469727 | 3.002500057220459 | 23.446399688720703 | 17.05419921875 | 0.28200000524520874 | 2.562000036239624 | 0.14000000059604645 | 0.18199999630451202 | 5.0 | -9.0 |
4.0 | 4.0 | 15.164600372314453 | 15.163999557495117 | 3.002700090408325 | 23.44700050354004 | 17.05430030822754 | 0.19200000166893005 | 2.562000036239624 | 0.10000000149011612 | 0.014000000432133675 | 5.0 | -9.0 |
4.5 | 4.5 | 15.163900375366211 | 15.163299560546875 | 3.002700090408325 | 23.44729995727539 | 17.05470085144043 | 0.3569999933242798 | 2.559999942779541 | 0.09000000357627869 | 0.0 | 5.0 | -9.0 |
5.0 | 5.0 | 15.165300369262695 | 15.164600372314453 | 3.0028998851776123 | 23.448200225830078 | 17.055099487304688 | 0.4399999976158142 | 2.562000036239624 | 0.09000000357627869 | 0.0 | 5.0 | -9.0 |
5.5 | 5.5 | 15.167799949645996 | 15.166999816894531 | 3.0034000873565674 | 23.45050048828125 | 17.056400299072266 | 0.3540000021457672 | 2.561000108718872 | 0.09000000357627869 | 0.0 | 5.0 | -9.0 |
6.0 | 6.0 | 15.173700332641602 | 15.172900199890137 | 3.005500078201294 | 23.46540069580078 | 17.066600799560547 | 0.21199999749660492 | 2.571000099182129 | 0.09000000357627869 | 0.0 | 5.0 | -9.0 |
6.5 | 6.5 | 15.17650032043457 | 15.175600051879883 | 3.009500026702881 | 23.497400283813477 | 17.090700149536133 | 0.3140000104904175 | 2.5820000171661377 | 0.09000000357627869 | 0.0 | 5.0 | -9.0 |
7.0 | 7.0 | 15.170700073242188 | 15.169699668884277 | 3.0220000743865967 | 23.608999252319336 | 17.177499771118164 | 0.2529999911785126 | 2.6630001068115234 | 0.09000000357627869 | 0.0 | 5.0 | -9.0 |
7.599999904632568 | 7.5 | 15.147100448608398 | 15.145999908447266 | 3.0776000022888184 | 24.102699279785156 | 17.56100082397461 | 0.32899999618530273 | 2.816999912261963 | 0.09000000357627869 | 0.0 | 5.0 | -9.0 |
8.100000381469727 | 8.0 | 15.151599884033203 | 15.150500297546387 | 3.132999897003174 | 24.578699111938477 | 17.92530059814453 | 0.3630000054836273 | 3.063999891281128 | 0.09000000357627869 | 0.0 | 5.0 | -9.0 |
8.600000381469727 | 8.5 | 15.193300247192383 | 15.192099571228027 | 3.1707000732421875 | 24.87929916381836 | 18.147499084472656 | 0.17299999296665192 | 3.2690000534057617 | 0.09000000357627869 | 0.0 | 4.617000102996826 | -9.0 |
9.100000381469727 | 9.0 | 15.338500022888184 | 15.337300300598145 | 3.249799966812134 | 25.471599578857422 | 18.57229995727539 | 0.33899998664855957 | 3.5260000228881836 | 0.09000000357627869 | 0.0 | 4.0920000076293945 | -9.0 |
9.600000381469727 | 9.5 | 15.470100402832031 | 15.468799591064453 | 3.304800033569336 | 25.861900329589844 | 18.84469985961914 | 0.30399999022483826 | 3.799999952316284 | 0.09000000357627869 | 0.0 | 3.259000062942505 | -9.0 |
10.100000381469727 | 10.0 | 15.805800437927246 | 15.804300308227539 | 3.453000068664551 | 26.917600631713867 | 19.583599090576172 | 0.23999999463558197 | 3.8940000534057617 | 0.09000000357627869 | 0.0 | 1.7920000553131104 | -9.0 |
10.600000381469727 | 10.5 | 16.31719970703125 | 16.31559944152832 | 3.699700117111206 | 28.68869972229004 | 20.830900192260742 | 0.3070000112056732 | 2.931999921798706 | 0.09000000357627869 | 0.0 | 1.3700000047683716 | -9.0 |
11.100000381469727 | 11.0 | 16.468000411987305 | 16.466400146484375 | 3.7715001106262207 | 29.197599411010742 | 21.187700271606445 | 0.17599999904632568 | 2.5820000171661377 | 0.09000000357627869 | 0.0 | 1.7109999656677246 | -9.0 |
11.600000381469727 | 11.5 | 16.53339958190918 | 16.531600952148438 | 3.8001999855041504 | 29.396799087524414 | 21.3257999420166 | 0.22599999606609344 | 2.443000078201294 | 0.09000000357627869 | 0.0 | 1.8450000286102295 | -9.0 |
In total, there are 20 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.